{
  "report": "AEO and GEO Agencies with Documented Results: What The Shortlist Report Finds",
  "question": "Which AEO and GEO agencies have documented client results?",
  "engine": "chatgpt",
  "category": "AEO, GEO and AI visibility agencies",
  "collected": [
    "2026-10-02",
    "2026-10-03",
    "2026-10-04",
    "2026-10-05",
    "2026-10-08",
    "2026-10-09",
    "2026-10-10",
    "2026-10-11",
    "2026-10-12"
  ],
  "answers": [
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If by \u201crecommendation share\u201d you mean the percentage of relevant, non-branded AI answers in which a company/product is mentioned or recommended, there are a few firms with unusually concrete public evidence.\n\nFirms with the clearest published evidence\n\nFirm\nDocumented result\nWhat stands out\nGenOptima\nAdsPower reportedly went from ~23% category visibility to 90.9% recommendation rate across 1,500 outputs from 7 AI systems; Amico Lighting reached 88.6% across 350 responses.\n\nLarge prompt/model samples and explicit before/after measurements\nBrandViz.AI\nDeckard Technologies reached 45.9% category mention share, 50.4% citation share, and an 11\u00d7 increase in ChatGPT recommendations over an 8-week sprint.\n\nParticularly useful evidence because it reports both recommendation and citation metrics\nAgenzy\nIts own brand reportedly increased AI share of voice from 8.6% to 23.0%, with 28,660 answers analyzed; ChatGPT recommendation presence was 41.8% in August 2026.\n\nStrong methodology disclosure and a large tracked prompt set, although it's a self-case study\nReachd\nBeKnown Brand reportedly moved from 3% \u2192 41% share of voice; The Italian Cabinet from 0% \u2192 46%. Measurements use repeated customer questions across ChatGPT, Google AI, Perplexity, Claude and Grok.\n\nSpecifically focused on getting businesses recommended, rather than merely cited\nNaturaily\nIts own GEO program reportedly moved from ~9% AI-answer coverage to 38% share of AI voice, becoming the most-cited agency in its 17-prompt US buyer set.\n\nInteresting because the company documents its own playbook and the prompts\nGeology\nPublished cases include an insurance brand whose AI coverage increased 3.8\u00d7, a broker with 5\u00d7 ChatGPT-sourced leads, and a SaaS company that went from invisible to consistently recommended.\n\nMore emphasis on commercial outcomes than raw recommendation share\n\nMy read on the evidence\n\nThe important distinction is \u201cAI visibility\u201d vs. \u201cAI recommendation share.\u201d A lot of GEO agencies publish impressive visibility/citation numbers that don't necessarily demonstrate that the AI actually chooses the brand as a recommendation.\n\nFor your specific question, I'd put the most scrutiny on GenOptima, BrandViz.AI, Reachd, and Agenzy, because they publish relatively explicit measurements of recommendation/mention share, prompt sets, time periods, and AI platforms. The figures are still primarily vendor-reported case studies, so I wouldn't treat them as independently audited proof of causality.\n\nOne particularly useful benchmark is BrandViz's Deckard case: it doesn't just say \u201cAI visibility increased\u201d; it reports 11\u00d7 more ChatGPT recommendations, alongside category mention and citation share.\n\nIf you're asking because you're looking to hire someone to increase your brand's recommendation share in ChatGPT/Perplexity/Gemini, I can also compare these firms by evidence quality, methodology, pricing, client examples, and whether they actually change recommendation share rather than just citations."
    },
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If you mean \u201cwhich people or companies have demonstrated that they can increase a brand\u2019s share of recommendations in AI-generated answers (ChatGPT, Gemini, Perplexity, AI Overviews, etc.)?\u201d, the field is still young. There is no universally validated leaderboard of experts, and many claims are vendor-reported rather than independently audited. The strongest evidence tends to come from before/after AI visibility case studies with a defined prompt set, tracked models, and raw answer data.\n\nSome organizations with publicly documented case studies include:\n\nOptimistyesoptimist.com \u2014 Published an AEO case study for a B2B technology company reporting large increases in LLM referral traffic and revenue attribution after an AEO program. The company notes attribution limits because AI discovery is influenced by multiple factors.\n\nG10Xg10x.com \u2014 Reported an AI-answer visibility improvement for a global activewear retailer using AI visibility measurement and optimization methods.\n\nGEO Closegeoclose.com \u2014 Publishes measured GEO case studies using fixed buyer-question sets and tracked AI answers, including examples of increased brand mentions/share of voice.\n\nLLMReachllmreach.ai \u2014 Focuses on GEO/AEO work around content structure, entity signals, and citation readiness, with published case studies.\n\nSeal Globalsealglobalholdings.com \u2014 Published an ecommerce SEO/AEO/GEO case study describing changes in AI citation share across several AI systems.\n\nWhen evaluating someone claiming they can improve AI recommendation share, look for:\n\nA defined measurement method\n\nExact prompts/questions tracked\n\nWhich AI systems were tested\n\nBaseline vs. after results\n\nRecommendation-share metrics\n\n\u201cBrand appears in X% of answers\u201d\n\n\u201cRank/position when mentioned\u201d\n\n\u201cCitation frequency\u201d\n\n\u201cShare of voice vs. competitors\u201d\n\nRaw answer evidence\n\nScreenshots or transcripts of AI responses\n\nSource citations that caused the recommendation\n\nSeparation of correlation and causation\n\nAI answers change frequently; a vendor should explain what changed and why, not just report a before/after number.\n\nThe emerging discipline is usually called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO). At this point, the most credible practitioners are those who can show repeatable measurement and transparent experiments rather than simply claiming they can \u201cmake ChatGPT recommend you.\u201d\n\nIf you mean individual consultants rather than agencies, or you\u2019re looking for vendors for a specific category (SaaS, ecommerce, local business, B2B, etc.), the shortlist changes."
    },
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If by \u201crecommendation share\u201d you mean the percentage of relevant, non-branded AI answers where a company/product is actually recommended, there are now several providers with published before/after evidence. The evidence is still early and mostly vendor-reported, so I\u2019d distinguish documented results from independently validated performance.\n\nProviders with the clearest published evidence\n\nSemrush \u2014 Its own case study reports AI share of voice rising 146%, from 13% to 32% in two months, after optimizing owned content and third-party placements. It specifically reports more mentions on high-intent prompts.\n\nSemrush case studyenterprise.semrush.com\n\nAcceleration Partners + CNET Group \u2014 A financial-services campaign reportedly increased AI share of voice from 22% to 45%, while LLM citations grew about 59\u201360% month over month. The approach combined earned editorial authority, targeted third-party content and video.\n\nCase studyaccelerationpartners.com\n\nBrandofy \u2014 Reports multiple DTC examples, including a probiotic brand going 3.5% \u2192 11.2% AI share of voice in four months and a swimwear brand going 2.3% \u2192 14.9% in six months. These are vendor-reported case studies, so I'd treat them as directional rather than independently verified.\n\nBrandofy case studiesbrandofy.ai\n\nCarnegie / Rice Business \u2014 Reports a 49% increase in AI visibility score and reaching the leading share-of-voice position for its competitive set after two months, using technical changes, content and YouTube optimization.\n\nCiteWorks Studio \u2014 Publishes several 2026 client cases involving increased LLM mentions, AI-cited pages and recommendation-stage visibility, including a reported 72% increase in AI share of voice for ZipRecruiter. Again, these are agency-reported results.\n\nCiteWorks case studiesciteworksstudio.com\n\nSearch Agency \u2014 Reports a hospitality client whose AI-search audience increased 450% and AI mentions 97.2% across ChatGPT, Gemini, Google AI Mode/Overviews and Perplexity over four months.\n\nThe important distinction\n\nI'd be careful about equating AI citations with recommendation share. A brand can be cited as a source without being recommended. A useful measurement is therefore something like:\n\nRecommendation share = % of non-branded commercial prompts where the brand appears in the recommended shortlist \u00f7 total relevant prompts\n\nThat distinction is explicitly recognized in current AI-search measurement frameworks.\n\nIf you're evaluating vendors, I'd put the most weight on those that can show prompt-level before/after data, a fixed prompt universe, competitor share, multiple AI engines, and ideally revenue/conversion impact\u2014not just \u201cAI visibility\u201d or citation counts.\n\nIf you tell me your industry/company and competitors, I can also identify who has the strongest directly relevant track record rather than just the biggest published numbers."
    },
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If by \u201crecommendation share\u201d you mean the percentage of relevant AI-generated answers that actually recommend or name a brand, there are several teams with published case studies\u2014but the evidence quality varies considerably.\n\nGensiv has one of the stronger-looking collections of named-company case studies. It reports, for example, Webflow\u2019s LLM share of voice increasing from 33% to 64%, Hertz Iceland from 21% to 35%, and Ramp\u2019s AI visibility from 3.2% to 22.2%. These are company-reported case studies rather than independent audits.\n\nSearch Agency reports a DiscoverASR engagement where AI mentions increased 97.2% and AI-search audience increased 450% across ChatGPT, Gemini, Google AI products, and Perplexity.\n\nGeovly reports substantial lifts in citation share and \u201cshare of answer\u201d across several anonymized SaaS, healthtech, fintech, ecommerce, and edtech engagements\u2014for example, a reported 412% citation-share increase for a SaaS company. Again, these are vendor-reported results.\n\nLinkio has a particularly concrete methodology: it mapped 157 service/location combinations and tracked 684 AI checks, reporting that a client went from zero recommendation coverage in the mapped cells to being cited/recommended for specific queries.\n\nAgenzy is interesting because it publishes a defined, repeatable metric: recommendation-framed prompts are run across ChatGPT, Gemini and Google AI Overviews, with a frozen prompt set. It reports 22.8% visibility across 88 prompts in its August 2026 measurement.\n\nIV.AI appears to work with major brands including Netflix, Uber, Est\u00e9e Lauder, Capital One, Walmart and Samsung and explicitly measures recommendation share across ChatGPT, Perplexity, Gemini and Google AI Overviews, although the page I found doesn't provide comparable before/after lifts.\n\nThe important caveat\n\nI would not treat these as equally \u201cproven.\u201d Most GEO firms publish their own case studies, and genuinely independent, controlled evidence is still limited. A credible measurement should hold the prompt set, model, geography, run conditions and scoring rules constant, rather than cherry-picking screenshots or changing prompts after the fact. That methodological issue is explicitly addressed in recent research on recommendation-share measurement.\n\nIf you're asking because you're looking to hire someone to increase your company's recommendation share in ChatGPT/Claude/Gemini/etc., I can do a deeper comparison of the leading GEO/AEO firms and separate verified customer results vs. vendor claims vs. illustrative case studies."
    },
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If by \"recommendation share\" you mean how often a brand is recommended or cited in AI-generated answers (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews), there are very few firms with independently verifiable track records. The field is new, and many published rankings are written by the agencies themselves.\n\nThe strongest indicators to look for are:\n\nPublic case studies with before/after AI citation or \"share of answer\" metrics.\n\nNamed clients willing to be referenced.\n\nA methodology for measuring AI visibility (rather than only SEO rankings).\n\nIndependent customer reviews and references.\n\nBased on publicly available evidence, several firms stand out because they publish measurable AI-visibility work:\n\nFirm\nPublic evidence\nFirst Page Sage\nFrequently appears in independent rankings and is cited as having documented AI visibility outcomes, though you'll still want customer references.\n\nSiege Media\nPublishes case studies involving AI citation improvements for content-driven brands and is mentioned across multiple comparisons.\n\niPullRank\nEnterprise-focused, with technical AI search optimization offerings and published methodology.\n\nNoGood\nGrowth agency with AI search/AEO practice and published client examples.\n\nTripleDart\nPublishes AI visibility tracking methodology and case material.\n\nThat said, I would be cautious about taking any \"Top GEO Agency\" list at face value. A large proportion of these rankings are produced by agencies that include themselves, sometimes in the #1 position. Even when disclosures are present, they're still marketing content rather than neutral evaluations.\n\nWhen evaluating a vendor, I'd ask for evidence such as:\n\nBefore/after recommendation share on a fixed prompt set.\n\nThe exact prompts used for measurement.\n\nPerformance across multiple AI systems (not just one).\n\nRevenue or qualified pipeline attributable to AI referrals.\n\nReferences from clients in your industry.\n\nIf your goal is specifically increasing the likelihood that AI assistants recommend your company, the best vendors should be able to demonstrate improvements in measurable AI visibility\u2014not just improvements in conventional SEO metrics."
    },
    {
      "day": "2026-10-02",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If by \u201crecommendation share\u201d you mean how often an AI assistant recommends or mentions a brand/product when users ask category or buying-intent questions, there are a few firms with unusually concrete evidence.\n\nThe strongest documented track records\n\nProfound \u2014 probably the clearest evidence for increasing AI-answer visibility and downstream referrals. Its published customer results include Airbyte going from 9% to 26% ChatGPT visibility in one week, Plaid increasing answer-engine referral traffic 300%, and OpusClip reaching #1 citation share in 30 days. Profound also reports that customers have generated 4\u00d7 more referrals from answer engines.\n\nScrunch AI \u2014 particularly strong evidence around share of voice/citations, which is closer to what I'd call recommendation share. Tinybird increased share of voice for core non-branded prompts from 11% to 32%, while Strapi reported a 226% increase in AI-search citations. Akamai reported a 364% increase in brand presence on associated non-branded prompts.\n\nScrunch + agency execution is also worth separating from the software itself. Proper Propaganda says its GEO program produced a 5\u00d7 increase in leads, while it became the most visible agency across its tracked prompts. That is agency execution using Scrunch rather than purely a software result.\n\nAn important distinction\n\nI would not equate \u201cAI visibility\u201d with \u201crecommendation share.\u201d Vendors use several different metrics:\n\nMetric\nWhat it tells you\nBrand visibility\nHow often the brand appears in AI answers\nShare of voice\nBrand's share of mentions among competitors\nCitation share\nHow often the brand/site is cited as a source\nRecommendation rate\nHow often AI actually recommends the brand\nAI-referred traffic\nWhether those answers produce visits\nConversions/revenue\nWhether AI recommendations produce business outcomes\n\nFor your specific question, I'd put the most weight on share of voice + recommendation/position + AI-referred conversions, rather than generic \u201cvisibility.\u201d\n\nThere is also emerging independent evidence that the mention itself matters commercially: Profound's 2026 panel study found that users visited a brand's website at roughly 1.5\u20132.5\u00d7 their forecasted baseline rate during the seven days after an AI assistant mentioned the brand.\n\nBottom line: if you're evaluating vendors or agencies specifically for getting your company recommended more often in ChatGPT/Perplexity/Gemini answers, Profound and Scrunch are the two I would investigate first based on the publicly documented outcome data. That's not a quality ranking; it's a statement about the specificity and scale of the published evidence I found.\n\nIf you tell me your industry/company and what you mean by recommendation share (e.g. \u201cChatGPT recommends us vs. 5 competitors\u201d), I can identify the firms with the most relevant case studies and separate real measured outcomes from vendor marketing claims."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Yes. If by GEO you mean Generative Engine Optimization / AI-search optimization, there are agencies with public case studies that go beyond vague \u201cwe get you into ChatGPT\u201d claims.\n\nI\u2019d put the strongest publicly documented examples into these tiers:\n\nStrongest evidence\n\nPosition Digital \u2014 Their GEO case-study page names clients and publishes concrete outcomes. For example, Decentriq reportedly saw a 221% increase in AI citations, while Oriel Partners secured Google AI Overviews for 17 keywords. This is one of the better examples because the cases are attributable to identifiable clients rather than completely anonymous companies.\n\nIntero Digital \u2014 Publishes named client/industry cases with specific AI-search metrics. Examples include 5,665% growth in generative-search visibility for a kitchen-equipment brand and 1,200+ Google AI Overview appearances for a manufacturing client.\n\nAcceleration Partners \u2014 Has a particularly compelling case involving a financial-services client: AI share of voice rose from 22% to 45%, while LLM citations grew roughly 59% month over month at peak. The case also identifies the content-partnership mechanism used to achieve it.\n\nElixir Digital \u2014 Publishes named client cases including MS Trust, with 907.7% YoY AI-traffic growth, and UBTC, with a reported 6,980% increase in purchases through LLMs. The latter is especially interesting because it connects GEO to an actual commercial outcome rather than just citation counts.\n\nPromising, but I'd demand more verification\n\nOptimizeGEO \u2014 Reports a global advisory client with 3\u00d7 AI-search visibility, 151% AI-referred traffic growth, and 2\u00d7 revenue from its AI program. The numbers are compelling, but I'd ask for the underlying analytics and client permission to validate them before treating them as independently verified.\n\nProCloser.ai \u2014 Publishes several detailed results, including +405% YoY LLM referral growth, +200% qualified leads, and +30% revenue for a sports-tech SaaS client. Again, the case study is useful, but the client is anonymized.\n\nOver The Top SEO \u2014 Reports a B2B fintech client going from 3% to 87% AI citation rate, with AI referral traffic increasing 340%. It provides unusually detailed methodology, including a 500-query test set across four AI platforms, which makes the claim more interesting than a simple testimonial.\n\nRAGSEO \u2014 Takes a more evidence-oriented approach: its cases are anonymized, but it says GEO measurements come from dated ChatGPT-search screenshots and distinguishes quantitative from qualitative results. That's a good methodological signal, although anonymity limits independent verification.\n\nOne important distinction\n\nI would not equate \u201chas a GEO case study\u201d with \u201chas a verifiable GEO track record.\u201d\n\nFor example, some agencies publish impressive percentages but don't identify the client, provide before/after prompts, show the underlying AI-search observations, or demonstrate that increased AI visibility actually produced revenue. Those are self-reported case studies, not independently verified results.\n\nFor an agency you're considering, I'd ask for these five things:\n\nNamed client, with permission to contact them.\n\nExact before/after query set \u2014 not just an internally calculated \u201cAI visibility score.\u201d\n\nScreenshots or exports showing actual ChatGPT/Perplexity/Gemini/AI Overview results.\n\nDownstream business metrics \u2014 qualified leads, pipeline, revenue, conversions \u2014 not merely citations.\n\nA controlled timeframe and methodology, so you can distinguish GEO impact from normal SEO/content growth.\n\nMy current shortlist for due diligence would be Position Digital, Intero Digital, Acceleration Partners, and Elixir Digital, with OptimizeGEO and ProCloser worth investigating if you're comfortable with more self-reported/anonymized evidence.\n\nIf you tell me whether you're looking for an agency to hire for your own company, I can also rank ~10 GEO agencies by evidence quality, named clients, measurable results, pricing transparency, and whether their case studies are independently verifiable."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Yes. If by GEO you mean Generative Engine Optimization / AI-search optimization, there are a handful of agencies whose public case studies contain enough detail to take seriously.\n\nI\u2019d separate \u201cverifiable\u201d from merely \u201cthey have testimonials.\u201d My standard is: named client + before/after numbers + timeframe + identifiable measurement methodology, with extra credit for screenshots, exports, or client attribution.\n\nStrongest publicly documented examples\n\nAgency\nClient evidence\nReported GEO result\nEvidence quality\nCitant.ai\nAI-Toolbox.co, named with permission\nChatGPT citations 58 \u2192 110 (+90%); AI referrals ~100 \u2192 378/week; 5 of 11 paid conversions attributed to AI assistants in Week 4\nVery strong\nPosition Digital\nDecentriq, named client + Head of Marketing testimonial\nAI citations 14 \u2192 45 (+221%) in 6 months; organic traffic +61%\nStrong\nSearch Agency\nDiscoverASR, named hospitality brand\nAI-search audience 7.4M \u2192 34.6M (+450%); AI mentions +97.2%; 77% favorable sentiment\nStrong\nAY Rank\nOloom, Wearview and other named clients\nOloom: +520% AI visibility; Wearview: $0 \u2192 $36K MRR over 8 months\nStrong, but agency-reported\nAnswer\nLG BESTSHOP, Shinhan Financial Group\nLG AI citation rate 71% \u2192 96% in 6 weeks; Shinhan 0% \u2192 31%\nStrong\nIntero Digital\nNamed enterprise clients/case studies\nOne client reported 5,665% AI-search visibility growth and 189% AI-referral growth; TRACOM reported 1,184% generative-search visibility growth\nStrong, though GEO is part of broader digital work\n\n1. Citant.aicitant.ai \u2014 strongest evidence if you care about revenue\n\nThis is probably the most interesting one to scrutinize first.\n\nTheir AI-Toolbox.co case study gives a baseline date, execution dates, named client, platform-by-platform citation counts, Google Analytics data, Search Console data, and payment attribution. They report that 5 of 11 paid conversions in Week 4 came from AI assistants, all through ChatGPT, while AI referrals represented only about 6% of sessions.\n\nThey also explicitly disclose negative results: Gemini and Perplexity citations declined during the engagement. That's a credibility signal I like because they aren't presenting GEO as an uninterrupted upward curve.\n\nWhy I'd shortlist them: unusually good measurement discipline and actual conversion attribution rather than just \u201cour AI visibility score went up.\u201d\n\nTheir AI-Toolbox.co case studycitant.ai\n\n2. Position Digitalposition.digital \u2014 strongest named B2B SaaS evidence\n\nPosition Digital has a particularly useful Decentriq case study.\n\nThey report AI citations increasing from 14 to 45 (+221%), alongside a 61.23% increase in organic traffic, over six months. More importantly, Decentriq's Head of Marketing, Erin Lutenski, is identified by name and provides a testimonial.\n\nThey also have a longer-term version of the same client case showing 14 \u2192 75 AI citations (+435%) over 10 months.\n\nThat's substantially more convincing to me than an agency saying \u201cwe increased AI visibility by 300%\u201d without naming the client or defining the metric.\n\nBest fit: B2B SaaS / tech companies that want GEO combined with technical SEO, digital PR and link building.\n\n3. Search Agencysearch.agency \u2014 compelling large-brand GEO work\n\nTheir DiscoverASR case is unusually detailed.\n\nThey report that DiscoverASR's generative-search audience increased from 7.4 million to 34.6 million (+450%) in one quarter, AI mentions increased 97.2%, and favorable AI sentiment reached 77%. They also describe tracking ChatGPT, Gemini, Google AI Mode and Perplexity weekly.\n\nThe agency publishes its methodology rather than simply showing a giant percentage on a landing page.\n\nBest fit: established brands, particularly hospitality/travel and companies where brand/entity visibility matters as much as direct AI traffic.\n\n4. AY Rankayrank.com \u2014 unusually good measurement claims\n\nAY Rank has named case studies for Oloom, Wearview, NeoDay, Arcads and others. It says its results combine live AI-platform polling, third-party citation tracking and revenue attribution through Stripe/HubSpot.\n\nExamples include:\n\nOloom: 520% increase in AI visibility\n\nWearview: $0 \u2192 $36K MRR over 8 months\n\nB2B SaaS client: 73% increase in AI citations\n\nE-commerce client: 156% increase in AI-referred traffic and $840K additional revenue attributed to AI search\n\nThe important caveat: those numbers are still primarily agency-published evidence, even though AY Rank says it cross-checks its measurements against third-party citation trackers. So I'd ask for dashboard access or raw evidence before treating the revenue claims as independently verified.\n\n5. Answeranswer.global \u2014 interesting enterprise examples\n\nAnswer has two especially concrete named-client cases:\n\nLG BESTSHOP: target-prompt AI citation rate increased from 71% to 96% in six weeks\n\nShinhan Financial Group: AI citation rate went from 0% to 31% in six weeks, reaching #4 among 741 financial domains.\n\nThese are attractive if you're looking for enterprise GEO, although I'd want to see the underlying prompt set and methodology before comparing these numbers directly with another agency's \u201cAI visibility\u201d score.\n\n6. Intero Digitalinterodigital.com \u2014 credible established agency, but less GEO-specialist\n\nIntero has named enterprise case studies and reports:\n\nA kitchen-equipment brand: 5,665% increase in AI-search visibility, plus 189% YoY AI-referral growth.\n\nA manufacturing client: 0 \u2192 1,200+ Google AI Overview appearances.\n\nTRACOM Group: 1,184% increase in generative-search visibility and 1,214% increase in engagement from AI-referred traffic.\n\nI'd put them slightly below the specialists above because GEO is part of a much broader SEO/digital-marketing operation.\n\nMy shortlist\n\nIf I were evaluating agencies specifically on proof rather than marketing, I'd start with:\n\nCitant.ai \u2014 best evidence of AI \u2192 actual paying customers\n\nPosition Digital \u2014 best publicly documented B2B SaaS example\n\nSearch Agency \u2014 strongest-looking large-brand AI visibility case\n\nAY Rank \u2014 strongest combination of GEO + revenue attribution methodology\n\nAnswer \u2014 interesting enterprise/Asian-market case studies\n\nIntero Digital \u2014 credible larger agency, but less GEO-specialized\n\nOne important warning\n\nI would not treat \u201cX% increase in AI visibility\u201d as equivalent across agencies. GEO metrics are still poorly standardized. One agency might count whether a brand appears in a prompt; another might count citation instances; another might calculate share of voice; another might measure estimated AI audience.\n\nThe best case studies are the ones where you can reproduce the measurement: exact prompts, platforms, dates, baseline, citation definition, and ideally raw exports.\n\nIf you're actually shopping for a GEO agency, I can also rank these by (1) credibility of evidence, (2) pricing, (3) B2B SaaS experience, (4) ability to drive leads/revenue rather than vanity AI mentions, and (5) whether their own brand is demonstrably winning in ChatGPT/Perplexity/Google AI."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Yes. If by GEO you mean Generative Engine Optimization / AI-search optimization, there are agencies with substantially better public proof than the average \u201cAI visibility\u201d vendor.\n\nI\u2019d put these on the shortlist:\n\nAgency\nVerifiable client\nPublished result\nMy confidence\nSearch Agency\nDiscoverASR (The Ascott Limited)\nAI-search audience +450%, 7.4M \u2192 34.6M; AI mentions +97.2%\nVery high\nSearch Agency\nTaman Safari Indonesia\nOwn-site AI citation rate 12% \u2192 38% in ~10 weeks\nVery high\nPosition Digital\nDecentriq\nAI citations +221%, organic traffic +61.2% over 6 months\nVery high\nAnswer\nShinhan Financial Group\nAI citation rate 0% \u2192 31% in 6 weeks; #4 among 741 domains\nHigh\nIntero Digital\nTRACOM Group\nGenerative-search visibility +1,184%, AI/zero-click placements 39+\nHigh\nAY Rank\nWearview\n$0 \u2192 $36K MRR in 8 months; 15+ listicle placements\nMedium-high\nQuality SMI\nDream Auto Rental\nChatGPT/Perplexity citations plus 1M+ Google impressions\nMedium\n\n1. Search Agency \u2014 strongest GEO-specific evidence\n\nSearch Agency has some of the most detailed public GEO case studies I've found.\n\nFor DiscoverASR, it reports AI-search audience growth from 7.4M to 34.6M (+450%) in one quarter, nearly doubled AI mentions, and 77% favorable AI sentiment. The case study identifies the client as a global serviced-residence brand and documents the platforms, timeframe, and optimization work.\n\nEven better, its Taman Safari Indonesia study gives a before/after citation metric: English AI citation rate went from 12% to 38%, measured across ChatGPT, Gemini, Perplexity, Google AI Overviews and AI Mode using a fixed prompt set.\n\nThat's the sort of evidence I'd want from a GEO agency because it measures actual AI citations, rather than simply saying \"organic visibility improved.\"\n\n2. Position Digital \u2014 unusually good independent corroboration\n\nPosition Digital has a particularly useful Decentriq case study.\n\nIt reports:\n\nAI citations: 14 \u2192 45 (+221%)\n\nOrganic traffic: +61.23%\n\nReferring domains: +74.94%\n\n#1 rankings: 30 \u2192 64\n\nSix-month measurement period\n\nThe client is named, the client's marketing executive is quoted, and the methodology is described.\n\nMore importantly, the case was also covered independently by SEO industry publication SE Ranking, which reproduces the 221% AI-citation result and the underlying traffic/ranking changes.\n\nThat makes Position Digital one of my safest picks if \"verifiable\" is the key criterion.\n\n3. Answer \u2014 strong enterprise examples\n\nAnswer publishes named enterprise GEO projects.\n\nFor Shinhan Financial Group, it reports AI citation rate going from 0% to 31% in six weeks, with Shinhan reaching fourth among 741 financial domains. It also explains that 2,176 prompts were generated to benchmark financial institutions.\n\nFor LG BESTSHOP, it reports citation rate increasing from 71% to 96% across 100 target prompts after optimizing 26 existing pages and creating 13 new pieces of content.\n\nThe enterprise names make these considerably more credible than anonymous \"Client A / Client B\" GEO case studies.\n\n4. Intero Digital \u2014 established agency with serious AI-search cases\n\nIntero Digital has a named TRACOM Group case study reporting:\n\n+1,184% generative-search visibility\n\n39+ AI Overview/zero-click placements\n\n+1,214% engagement events from AI-referred users\n\n+55% session quality\n\nIt also describes the technical/content/entity work performed rather than just reporting a percentage.\n\nI'd rate this highly for enterprise SEO + GEO, although I'd distinguish it from a pure-play GEO specialist.\n\n5. AY Rank \u2014 strongest revenue-oriented case\n\nAY Rank publishes a more commercially interesting case involving Wearview, a smart-glasses ecommerce brand.\n\nIt reports $0 \u2192 $36K MRR in eight months, a Domain Rating increase from 0 to 56, and 15+ listicle placements. The agency says its revenue attribution is tied to Stripe/HubSpot rather than simply estimated AI traffic.\n\nThat's potentially more meaningful than citation growth because it connects GEO to revenue, although I'd still ask to see the underlying analytics before treating the $36K as independently verified.\n\nMy ranking\n\nIf I were actually hiring a GEO agency today, based specifically on quality of publicly available proof, I'd rank them:\n\nSearch Agency \u2014 best pure GEO/AI-search evidence\n\nPosition Digital \u2014 best combination of named client + detailed metrics + third-party corroboration\n\nAnswer \u2014 excellent enterprise case studies\n\nIntero Digital \u2014 strongest established SEO/GEO hybrid\n\nAY Rank \u2014 compelling revenue attribution, but less independently corroborated\n\nOne important caveat: AI visibility metrics are not yet standardized. \"AI visibility,\" \"AI audience,\" \"citation rate,\" \"mentions,\" and \"AI-referred traffic\" can mean very different things between vendors. Search Agency itself explicitly acknowledges that causal attribution is difficult and publishes its measurement methodology.\n\nSo I would not choose an agency based on the biggest percentage. I'd ask each finalist for a case study containing: named client \u2192 fixed prompt set \u2192 baseline \u2192 exact AI platforms \u2192 timeframe \u2192 intervention \u2192 post-period measurement \u2192 analytics/revenue evidence.\n\nIf you tell me your industry and approximate monthly GEO/SEO budget, I can narrow this to the 3 agencies I'd actually contact and compare their case studies, pricing signals, client quality, and likely fit."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Yes. If by \u201cverifiable\u201d you mean the agency publishes named clients, before/after metrics, methodology, and enough detail that a prospective buyer could reasonably audit the claims, the field gets much smaller.\n\nMy current shortlist:\n\nAgency\nVerifiable GEO evidence\nMy take\nAY Rank\nNamed clients including Wearview and Oloom; reports AI-platform citation data, revenue attribution, and third-party citation verification.\nStrongest pure-GEO evidence I found\nThe Rank Collective\nJoin.com case: reported ChatGPT citation rate from 0% \u2192 89% and Claude 0% \u2192 76% in 43 days, plus 4\u00d7 qualified leads.\nVery compelling, but agency-reported\nElixir Digital\nNamed cases for MS Trust and UBTC with large AI-traffic/conversion increases.\nGood if you want GEO + conventional SEO\nChatter Buzz Media\nNamed clients, detailed case studies, and AI-search results. Hallmark Nameplate reports +349% traffic, +40% revenue and +250% leads.\nGood established agency with GEO/AEO capability\nEnleaf\n20+ published cases and named clients including Kasa, Stay Alfred and others; extensive historical SEO evidence.\nBest established SEO track record; newer GEO layer\nQuality SMI\nNamed Dream Auto Rental case with Google data and reported ChatGPT/Perplexity visibility.\nInteresting international/GEO option\n\n1. AY Rank \u2014 strongest evidence for actual GEO\n\nThis is the one I'd investigate first if your goal is specifically getting cited/recommended inside ChatGPT, Perplexity, Gemini, Claude, etc.\n\nAY Rank says its case studies are based on live AI-platform polling, third-party citation tracking, and revenue attribution through Stripe/HubSpot. Its published cases include:\n\nWearview: $0 \u2192 $36K MRR in 8 months\n\nOloom: 520% increase in AI visibility\n\nB2B SaaS: 73% increase in AI citations\n\nE-commerce: 156% increase in AI-referred traffic and $840K additional attributed revenue\n\nIt also identifies the AI platforms being tracked rather than simply saying \u201cAI visibility increased.\u201d\n\nAY Rank GEO case studiesayrank.com\n\nCaveat: these are still agency-published claims. \u201cAuditable\u201d isn't the same thing as independently audited.\n\n2. The Rank Collective \u2014 unusually specific AI citation results\n\nTheir Join.com case is interesting because it gives an actual citation-rate before/after, rather than vague \u201cAI visibility\u201d scores:\n\nChatGPT: 0% \u2192 89%\n\nClaude: 0% \u2192 76%\n\nReported timeframe: 43 days\n\nReported business result: 4\u00d7 qualified leads\n\nThat's considerably more useful than an agency showing screenshots of one favorable ChatGPT response.\n\nThe Rank Collectiveai.therankcollective.com\n\nI'd ask them for the exact prompt set, dates, sampling frequency, and raw observations before treating those percentages as independently verifiable.\n\n3. Elixir Digital \u2014 strongest-looking revenue/conversion evidence\n\nElixir publishes named GEO cases rather than just hypothetical examples. Two particularly interesting ones are:\n\nMS Trust: +907.7% YoY AI traffic and +557.8% AI conversions\n\nUBTC: 7,152% increase in LLM sessions and 6,980% increase in purchases attributed to LLMs\n\nThe important distinction is that they're connecting GEO to traffic/conversions, not merely citation counts.\n\nElixir Digital GEO case studieselixirrdigital.com\n\n4. Chatter Buzz \u2014 good evidence, but GEO isn't the entire story\n\nChatter Buzz has been doing SEO/digital marketing for much longer than the current GEO wave. Its Hallmark Nameplate case is particularly well documented:\n\n+349% website traffic\n\n+40% revenue\n\n+250% site-generated leads\n\nThe engagement included SEO, content, ABM, paid search, CRM, and other work\u2014not just GEO\u2014so I wouldn't attribute those numbers solely to GEO.\n\nThat's actually a positive in one sense: there's a substantial conventional marketing track record behind the agency.\n\nChatter Buzz case studieschatterbuzzmedia.com\n\n5. Enleaf \u2014 strongest conventional track record\n\nEnleaf is different from the newer GEO specialists. It has a substantial historical SEO record and is now positioning that authority work as AI/GEO.\n\nFor example, its Kasa case reports:\n\n+1,173% increase in rankings\n\n+70% organic traffic\n\n+65% organic-attributed bookings/revenue\n\nAnd its Stay Alfred case reports +412% organic revenue.\n\nIts newer AI/GEO offering explicitly focuses on getting brands cited in ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude.\n\nEnleaf AI/GEO servicesenleaf.com\n\nI'd choose Enleaf over a pure-play GEO startup if you want an agency capable of fixing the underlying SEO/entity/content infrastructure as well.\n\nOne important warning\n\nI'd be skeptical of agencies whose \u201ccase studies\u201d look like:\n\n\u201cOur client went from 12% to 87% GEO visibility!\u201d\n\n\u2026but don't tell you:\n\nwhich prompts were tested,\n\nwhich AI engines were tested,\n\nhow many observations were made,\n\nwhen they were tested,\n\nwhether personalization/location affected results,\n\nwhether the client was actually cited versus merely mentioned,\n\nwhat changed on the client's site,\n\nand whether AI-referred traffic/revenue was actually measured.\n\nThat's why AY Rank's stated three-layer measurement approach is particularly interesting: live platform polling + third-party citation tracking + CRM/revenue attribution.\n\nI would also distinguish GEO results from SEO results. An agency can have fantastic SEO case studies without proving that its GEO work caused an increase in ChatGPT/Perplexity recommendations.\n\nMy ranking for a buyer\n\nIf I were shortlisting agencies specifically for AI-search visibility, I'd start:\n\nAY Rank \u2014 strongest published GEO measurement methodology\n\nThe Rank Collective \u2014 unusually concrete citation-rate case\n\nElixir Digital \u2014 compelling AI traffic/conversion cases\n\nChatter Buzz \u2014 established agency + documented AEO/GEO work\n\nEnleaf \u2014 strongest established SEO foundation, newer GEO specialization\n\nQuality SMI \u2014 worth investigating, particularly for international/local SEO + GEO\n\nThere are also some very new GEO agencies publishing impressive case studies, but I'd put them in a separate \u201cneeds further verification\u201d bucket rather than treating their claims as established proof.\n\nIf you're actually shopping for a GEO agency, I can go one step further and compare 10\u201315 agencies on named clients, independently verifiable results, pricing, reviews, methodology, and whether their case studies prove GEO specifically rather than ordinary SEO."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "If by GEO you mean Generative Engine Optimization / AI-search optimization, there are a handful of agencies whose client evidence is substantially more credible than the usual \u201cwe\u2019ll get you cited by ChatGPT\u201d claims.\n\nI\u2019d rank them roughly like this:\n\nAgency\nPublic client\nEvidence quality\nWhat they show\nPosition Digitalposition.digital\nDecentriq, Oriel Partners\n\u2605\u2605\u2605\u2605\u2605\nNamed clients, before/after metrics, AI citations, Google data, client testimonials\nIntero Digitalinterodigital.com\nTRACOM Group\n\u2605\u2605\u2605\u2605\u2605\nNamed client, 1,184% generative-visibility increase, 39+ AI Overview placements, AI-referred engagement\nAnsweranswer.global\nLG BESTSHOP, Shinhan Financial Group\n\u2605\u2605\u2605\u2605\u2605\nNamed major brands, defined prompt sets, citation-rate before/after measurements\nLoudFaceloudface.co\nToku, Genie Teacher\n\u2605\u2605\u2605\u2605\u00bd\nVery detailed prompt-level/per-engine measurement and public methodology\nAY Rankayrank.com\nWearview, Oloom\n\u2605\u2605\u2605\u2605\nClaims live Search Console/Stripe/HubSpot attribution and named client sites\nMarGenmargen.net\nMultiple UK companies\n\u2605\u2605\u2605\u2605\nDetailed citation-share measurements against competitors\nQuality SMIqualitysmi.com\nDream Auto Rental, Grupo Masterlog, etc.\n\u2605\u2605\u2605\u00bd\nNamed businesses and substantial SEO/GEO outcome data\n\n1. Position Digital \u2014 probably the strongest conventional-agency evidence\n\nThis is one I'd put near the top of a serious vendor shortlist.\n\nFor Decentriq, Position Digital reports AI citations increasing from 14 to 45\u2014a 221% increase\u2014alongside a 61.23% increase in organic traffic. The page identifies the client, describes the technical problems, explains the intervention, and includes a testimonial from Decentriq's Head of Marketing.\n\nTheir Oriel Partners case is even more useful for evaluating GEO specifically: 17 keywords began triggering AI Overviews, while 23 keywords moved to #1, impressions increased 226%, and organic traffic increased 131%. The case includes a named client executive.\n\nVerdict: Strong evidence because the claims aren't limited to an agency-created \u201cAI visibility score.\u201d\n\n2. Intero Digital \u2014 strongest larger-agency option\n\nIntero has a substantial GEO program and publishes named case studies.\n\nFor TRACOM Group, it reports:\n\n1,184% increase in generative-search visibility\n\n39+ AI Overview/zero-click placements\n\n1,214% increase in engagement events from AI-referred users\n\n55% improvement in session quality\n\nIt also explains the work performed\u2014technical audit, question-driven content, and iterative optimization.\n\nTheir broader GEO page contains additional client examples, including a kitchen-equipment company reporting a 5,665% increase in AI-search visibility.\n\nVerdict: Particularly interesting if you want an established SEO agency rather than a GEO-only startup.\n\n3. Answer \u2014 unusually good prompt-level evidence\n\nAnswer's case studies are interesting because they quantify AI citation rates, rather than simply saying \u201cAI visibility increased.\u201d\n\nFor LG BESTSHOP, they report a cumulative citation rate across 100 target prompts rising from 71% to 96% in six weeks, with ~3\u00d7 AI-search inflow and 2.7\u00d7 citation efficiency.\n\nFor Shinhan Financial Group, they report moving from 0% to 31% AI citation rate in six weeks, reaching fourth among 741 financial domains.\n\nVerdict: One of the better options if you care about measuring actual AI answers, rather than repackaging traditional SEO metrics as GEO.\n\n4. LoudFace \u2014 excellent transparency on AI-search measurement\n\nLoudFace is particularly interesting because it publishes the actual prompt-level methodology.\n\nIts Toku case reports essentially zero \u2192 97.8% visibility for the prompt \u201cbest stablecoin payroll providers,\u201d measured across a 30-day period, with an average cited position of 2.1 across 95 tracked prompts. It identifies Toku as the client and Kenneth O'Friel, its CEO, as a testimonial source.\n\nIt also publishes its methodology and distinguishes:\n\nvisibility vs. share of voice\n\nindividual engines\n\ncited position\n\nprompt panels\n\nmeasurement windows\n\nThat's a very good sign when evaluating a GEO vendor.\n\nCaveat: Some of its strongest evidence is from the agency's own measurement infrastructure, so I'd still ask for read-only access to the underlying reporting during procurement.\n\n5. AY Rank \u2014 strongest if you want revenue attribution\n\nAY Rank makes a more ambitious claim: its case studies say AI-referred sessions are connected to Stripe and HubSpot and that only end-to-end attributable revenue is included in its case studies.\n\nIts published examples include:\n\nWearview: $0 \u2192 $36K MRR over eight months\n\nOloom: 520% AI-visibility increase\n\nB2B SaaS client: 73% increase in AI citations and 40% more demo requests from AI referrals\n\nE-commerce client: 156% more AI-referred traffic and $840K additional revenue attributed to AI search\n\nVerdict: Potentially very compelling, but because the revenue claims are primarily reported by the agency, I'd request underlying analytics before treating them as independently verified.\n\n6. MarGen \u2014 particularly interesting for B2B\n\nMarGen publishes unusually specific citation-share results.\n\nExamples include:\n\nUK workflow SaaS: 9% \u2192 38% citation share across 180 buyer queries\n\nCommercial law firm: 4% \u2192 41% across 75 queries\n\nIFA practice: 0% \u2192 31% across 45 queries\n\nRegulated B2B firm: 0% \u2192 37% across 30 queries\n\nVerdict: Worth investigating if you're B2B and want competitive AI-share measurement rather than generic \u201ctraffic from AI\u201d reporting.\n\nThe ones I'd be more cautious about\n\nThere are lots of agencies now publishing impressive-looking GEO numbers. The problem is that \u201cAI visibility increased 500%\u201d isn't necessarily evidence of business impact.\n\nFor example, one agency currently advertises testimonials such as \u201cAI visibility increased by 112%\u201d and \u201cqualified leads grew by 48%,\u201d but the publicly presented testimonials don't give enough client-identifying information or underlying methodology to independently validate those claims.\n\nLikewise, some agencies publish case studies with anonymized clients. That isn't automatically bad, but it should reduce your confidence relative to a named-client case study with a client-side testimonial.\n\nMy shortlist\n\nIf I were actually hiring a GEO agency today, I'd start with:\n\nPosition Digital \u2014 best combination of named clients + SEO + AI-search evidence.\n\nIntero Digital \u2014 strongest established-agency option.\n\nAnswer \u2014 strongest evidence around prompt/citation-rate methodology.\n\nLoudFace \u2014 strongest transparency around AI-specific measurement.\n\nMarGen \u2014 particularly compelling for B2B competitive citation share.\n\nAY Rank \u2014 worth a conversation if measurable AI-attributed revenue is the priority.\n\nOne important caveat: GEO is still a young discipline, and there is no universally accepted equivalent of Google Search Console for \u201cChatGPT rankings.\u201d So I'd distinguish verifiable client success from independently audited success. Most agencies can demonstrate the former; very few can demonstrate the latter.\n\nIf you're considering hiring one, I can also do a deeper vendor audit of 10\u201315 GEO agencies, checking their case studies for named clients, screenshots/data, client-side confirmation, methodology, AI citation lift, traffic/revenue impact, pricing, and red flags, then rank them by evidence quality."
    },
    {
      "day": "2026-10-03",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Yes. If by GEO you mean Generative Engine Optimization / AI-search optimization, there are a handful of agencies whose client results are substantially more verifiable than the typical \u201cwe get you cited by ChatGPT\u201d marketing claim.\n\nStrongest evidence I found\n\nAgency\nVerifiable client\nReported GEO result\nMy confidence\nIntero Digital\nTRACOM Group\n+1,184% generative-search visibility, 39+ AI Overview/zero-click placements, +1,214% AI-referred engagement\nHigh\nPosition Digital\nDecentriq\n+221% AI citations, +61% organic traffic; detailed before/after numbers and client testimonial\nHigh\nGo Fish Digital\nGo Fish itself\n+43% AI referral traffic, +83.3% AI-referral conversions, AI leads converting at 25\u00d7 traditional search\nMedium\u2013High\nConcurate\nB2B financing platform\n+100% AI referrals, +315% Google AI Overview visibility\nMedium\nElixir Digital\nMS Trust / UBTC\n+907.7% AI traffic for MS Trust; +6,980% LLM purchases for UBTC\nMedium\u2013High\nLumiRank\nOsoba Renos, Valve Appliance Repair, etc.\nNamed clients; e.g. +56.1% Google clicks for Osoba and +331% for Valve\nMedium\n\n1. Intero Digital \u2014 strongest overall\n\nIntero Digital's GEO case studiesinterodigital.com\n\nThis is probably the first agency I'd investigate. Its case studies identify the clients rather than hiding everything behind anonymous \u201cSaaS company\u201d labels.\n\nFor TRACOM Group, Intero reports a four-month engagement producing a 1,184% increase in generative-search visibility, 39+ AI Overview/zero-click placements, and a 1,214% increase in engagement events from AI-referred users.\n\nIt also has a named Freshpet case reporting +645% Google AI Overview visibility and +46% AI referral traffic.\n\nWhy I like it: established agency + named clients + specific AI-search metrics + conventional SEO/analytics metrics alongside GEO.\n\n2. Position Digital \u2014 particularly good transparency\n\nPosition Digital's GEO case studiesposition.digital\n\nTheir Decentriq case is unusually useful because it provides actual before/after figures:\n\nAI citations: 14 \u2192 45 (+221%)\n\nOrganic traffic: 1,385 \u2192 2,233 (+61.23%)\n\nReferring domains: 391 \u2192 684\n\n#1 Google rankings: 30 \u2192 64\n\nSix-month timeframe\n\nThe page also identifies Decentriq's Head of Marketing, Erin Lutenski, rather than presenting the result as an anonymous client.\n\nPosition Digital has additional named GEO cases involving Oriel Partners, Don't Panic, HR Datahub, and Decentriq.\n\nWhy I like it: the numbers are much easier to audit than a vague \u201cAI visibility increased 500%.\u201d\n\n3. Go Fish Digital \u2014 compelling, but it's partly a self-case study\n\nGo Fish Digital's GEO case studygofishdigital.com\n\nGo Fish's best-publicized GEO case is actually itself.\n\nOver three months it reports:\n\n+43% monthly AI-driven traffic\n\n+83.33% monthly conversions from AI referrals\n\nAI-driven leads converting at 25\u00d7 the rate of traditional search\n\nImportantly, they describe their measurement methodology: GA4 filters, log-file analysis and third-party visibility tools including Profound.\n\nThat's good evidence that the agency knows how to measure GEO. But because it's their own website, I'd put it below Intero and Position Digital when evaluating client success.\n\n4. Elixir Digital \u2014 interesting if you care about revenue, not just citations\n\nElixir Digital's GEO resultselixirrdigital.com\n\nTheir published cases go beyond visibility:\n\nMS Trust: +907.7% YoY AI traffic and +557.8% AI conversions\n\nUBTC: +7,152% LLM sessions and +6,980% purchases through LLMs\n\nThose are potentially impressive because revenue/conversions are much more meaningful than \u201cwe appeared in ChatGPT.\u201d The caveat is that I'd ask for the underlying analytics before treating the headline percentages as independently verified.\n\n5. Concurate \u2014 promising B2B/SaaS evidence\n\nConcurate's GEO case studyconcurate.com\n\nConcurate published a case involving a B2B financing platform, reporting a 100% increase in AI referrals and a 315% increase in Google AI Overview visibility. The case is reasonably detailed about the work performed rather than simply reporting a score.\n\nI'd put it in the \u201cworth interviewing, verify the data\u201d category rather than the top tier.\n\nAgencies I'd be more cautious about\n\nThere are now many GEO agencies publishing huge percentages with anonymous clients, unattributed screenshots, proprietary \u201cAI visibility scores,\u201d or testimonials without enough underlying evidence.\n\nFor example, some agencies advertise things like \u201c112% AI visibility increase\u201d or \u201c54% AI-influenced leads\u201d but don't identify the client or provide enough information to independently assess the baseline.\n\nLikewise, anonymized case studies aren't automatically bad\u2014the RAGSEO cases explicitly say they retain dated ChatGPT screenshots and analytics data\u2014but they're inherently harder for a prospective buyer to verify.\n\nMy shortlist\n\nIf I were evaluating agencies specifically on evidence of actual GEO results, I'd start with:\n\nIntero Digital \u2014 best combination of scale, named clients and AI-search metrics.\n\nPosition Digital \u2014 arguably the best transparent before/after GEO case-study presentation.\n\nGo Fish Digital \u2014 strong GEO measurement sophistication, although its flagship public case is self-referential.\n\nElixir Digital \u2014 worth a serious look if AI-attributed conversions/revenue matter most.\n\nConcurate \u2014 particularly interesting for B2B/SaaS.\n\nOne important caveat: GEO is still a young discipline, and \"AI visibility\" isn't a standardized metric. A reported 1,184% increase can be real while still being less meaningful than, say, going from 1% to 12% share of relevant AI answers. I'd therefore judge agencies on named clients + reproducible prompts + before/after share of voice + citations + AI-referred traffic/leads/revenue, in that order.\n\nIf you're shopping for a GEO agency, I can also do a deeper comparison of 10\u201315 agencies, including pricing, named clients, actual case-study evidence, methodology, industries served, and red flags, and rank them."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "The strongest publishers I\u2019d look at are:\n\nAhrefs \u2014 unusually credible methodology: its AI Visibility Index uses 459M+ real prompts across major AI platforms, rather than synthetic queries.\n\nQuattr \u2014 publishes enterprise case studies with explicit AI-citation/share-of-voice metrics and measurement windows.\n\nOtterlyAI \u2014 lots of granular GEO cases, including measured changes in citations, visibility, and AI-referred traffic; it also publishes controlled experiments with methodological caveats.\n\nScrunch \u2014 publishes client results with prompt-level visibility changes, e.g. 1%\u219240% for a B2B SaaS client.\n\nHumanswith.AI \u2014 unusually transparent about baselines, query panels, timeframes, and deltas across multiple LLMs.\n\nIs My Brand in AI \u2014 particularly interesting because its recent case uses first-party Bing + Cloudflare crawler data, rather than only a proprietary visibility score.\n\nMy credibility ranking: Ahrefs / first-party-data studies > Quattr/Otterly/Scrunch > agency/vendor self-reported case studies.\n\nThe key thing to scrutinize is whether they disclose prompt set, baseline, timeframe, platform, sample size, and attribution methodology\u2014otherwise impressive \u201c300% AI visibility growth\u201d numbers can be mostly marketing."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If by \u201cAI visibility\u201d you mean visibility in ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., there are now several publishers with quantified case studies. But the evidence quality varies a lot.\n\nMy shortlist\n\nQuattr case studiesquattr.com \u2014 best enterprise-oriented source\n\nPublishes before/after results for recognizable enterprise brands.\n\nReports metrics such as AI citation share, AI Overview presence, organic traffic and clicks.\n\nExamples include 3\u00d7 citation share, 79% more Answer Engine citations, and 37% more clicks after page optimization.\n\nWhy I trust it more: it connects AI-visibility metrics with conventional search metrics rather than treating \u201cvisibility score\u201d as the outcome.\n\nGEO Close case studiesgeoclose.com \u2014 best methodological transparency\n\nUses a fixed battery of real buyer questions, repeats them over time, and retains the raw AI answers.\n\nFor example, it reports Tangled Monk going from 8 \u2192 16 direct AI recommendations and 7.9% \u2192 18.8% share of voice in about a month.\n\nParticularly good if you want to understand how AI visibility was actually measured.\n\nHumanswith.AI's measured case hubhumanswith.ai \u2014 good breadth of real-world examples\n\nReports baselines, timeframes and deltas across ChatGPT, Perplexity, Gemini and other AI engines.\n\nExamples include 0.9% \u2192 21.5% ChatGPT visibility in eight weeks and other citation-growth cases.\n\nMore agency/vendor self-reporting, so I'd treat the numbers as evidence rather than independently audited results.\n\nMarGen case studiesmargen.net \u2014 interesting for long-duration programs\n\nParticularly useful because some cases span 12\u201314 months, rather than claiming dramatic changes after a few weeks.\n\nOne UK SaaS case reports 9% \u2192 38% citation share across 180 buyer queries in 14 months; another reports 4% \u2192 41% across 75 queries in 12 months.\n\nRAGSEO case resultsgeoforb2b.com \u2014 good transparency despite anonymization\n\nExplicitly says its GEO results are measured in ChatGPT search mode using dated screenshots.\n\nImportantly, it says it publishes qualitative results when it can't substantiate a number rather than manufacturing a metric.\n\nThat's a surprisingly useful credibility signal.\n\nOptimizeGEO case studiesoptimizegeo.ai \u2014 useful, but vendor-reported\n\nReports things like 3\u00d7 AI search visibility, 151% AI-referred traffic growth and 2\u00d7 revenue for one case.\n\nThe methodology and metrics are described, which is good, but these are still claims published by the company selling the service.\n\nOne important caveat\n\nI'd be very skeptical of any AI-visibility case study that gives you a single percentage without explaining the measurement protocol.\n\nAI answers are probabilistic: the same prompt can produce different answers on different runs, and results change over time. Academic research specifically argues that GEO visibility should be measured as a distribution across repeated observations, rather than as a one-off snapshot.\n\nSo my credibility hierarchy is roughly:\n\nRepeated fixed prompts + raw answers + named client + defined timeframe + multiple AI engines + business outcome\n\n\u2b06\ufe0f strongest\n\nRepeated prompts + citation/share-of-voice metric + before/after\n\n\u201cVisibility score increased 300%\u201d with no raw methodology\n\nScreenshots of one ChatGPT answer / anecdotal \u201cChatGPT recommended us\u201d\n\n\u2b07\ufe0f weakest\n\nIf you're doing competitive research or deciding which AI-visibility vendors to believe, I'd start with Quattr, GEO Close, Humanswith.AI and MarGen, then cross-check their methodology against the academic measurement literature."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "I\u2019ll look for organizations that publish named, quantified AI-visibility/AEO/GEO case studies, rather than generic \u201cwe increased visibility\u201d claims, and distinguish strong evidence from vendor marketing."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If by AI visibility you mean visibility in ChatGPT, Gemini, Perplexity, Google AI Overviews/AI Mode, etc., I\u2019d separate publishers into strong evidence and marketing-led case studies.\n\nMy shortlist\n\nHubSpot\u2019s AEO case studyblog.hubspot.com \u2014 probably the best large-brand example. They disclose the measurement methodology and report changes such as +60% citation share, +35 percentage points in awareness-stage visibility, and +56% AI citations after specific interventions.\n\nQuattr case studiesquattr.com \u2014 unusually good for enterprise-scale data. They report AI citation share, AI share of voice, AI Overview/AI Mode visibility, organic clicks, and measurement windows across named customers. For example, one study reports 3\u00d7 AI citation share and 113% organic click growth.\n\nVisibility Partners case studiesvisibility.partners \u2014 one of the more methodologically transparent sources I've found. Their insurance example uses a locked prompt set, repeats it monthly across five AI engines, and distinguishes being cited from being recommended. It reports AI Overview coverage moving 32% \u2192 88% over 14 months.\n\nGEO Close measured case studiesgeoclose.com \u2014 particularly interesting because they say they retain the raw AI answers, use the same fixed buyer-question battery before/after, and explicitly avoid dashboard-only estimates. Examples include 7.9% \u2192 18.8% share of voice and 0 \u2192 21.4% on Gemini.\n\nBrandViz.AI case studiesbrandviz.ai \u2014 useful collection of named B2B cases with concrete before/after numbers. One example reports AI visibility 3.3% \u2192 33.1% over four months plus a 56% increase in Google organic clicks; another reports 45.9% category mentions and 50.4% category citations in eight weeks.\n\nHumanswith.AI \u2014 a newer but interesting collection because the cases give baselines, timeframes, query sets and deltas rather than just testimonials. For example, Birdview reportedly went from 0.9% \u2192 21.5% ChatGPT visibility in eight weeks, based on 100 mapped queries.\n\nAcademic research / Aiso \u2014 if you want something closer to independent evidence rather than vendor case studies, there's a September 2026 paper analyzing 34,960 prompt observations across 75 projects. It finds strong associations between own-domain exposure/citations and subsequent brand mentions in GPT and Gemini. Importantly, the authors explicitly characterize the findings as observational rather than causal.\n\nWhat I'd trust most\n\nFor evaluating whether an AI-visibility claim is actually credible, look for these five things:\n\nFixed, disclosed prompt set rather than cherry-picked queries.\n\nUnbranded prompts \u2014 otherwise the measurement can be almost meaningless.\n\nBefore/after measurements with a stated time window.\n\nMultiple repeated observations, because LLM answers fluctuate.\n\nA distinction between mention, recommendation, citation, visibility/share of voice, traffic, and revenue.\n\nThat last distinction is especially important. A claim like \u201cwe increased AI visibility 300%\u201d can mean almost anything unless the publisher tells you precisely what was measured.\n\nIf I were building a benchmark of credible AI-visibility evidence, my top three starting points would be HubSpot, Quattr, and Visibility Partners, supplemented by the academic Aiso work for an independent methodological perspective.\n\nIf you want, I can also compile 10\u201320 of the strongest public AI-visibility case studies into a table with company, industry, engine, sample size, baseline, result, time period, and methodology, and rank them by evidentiary quality."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "Yes. If by \u201cAI visibility\u201d you mean visibility in ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc., I\u2019d prioritize publishers that show a baseline \u2192 intervention \u2192 measurement \u2192 result, rather than generic \u201cGEO best practices.\u201d\n\nStrongest sources I found\n\nHumanswith.AI \u2014 measured AI-visibility case hubhumanswith.ai \u2014 Probably the closest match to what you're asking for. They publish multiple cases with fixed query sets, timeframes, baselines, and deltas. Examples include 0.9% \u2192 21.5% ChatGPT visibility in 8 weeks and 35 \u2192 259 citations in 7 weeks. They track nine AI engines.\n\nScrunch \u2014 customer case studiesscrunch.com \u2014 Particularly useful for agency/client outcomes. Its Stratabeat case reports several measured improvements: 18% \u2192 65%, 1% \u2192 40%, and 22% \u2192 44% visibility for tracked non-branded prompts, with some changes occurring within two months.\n\nTrust Insights \u2014 AI Search Visibility case studytrustinsights.ai \u2014 Good because it connects AI visibility to actual analytics outcomes, not just mention/citation scores. It reports 1,066 AI-referral sessions over six months, 13 citations from a zero baseline, and substantially higher engagement from AI-referred visitors.\n\nThree Seven Marketing \u2014 13\u00d7 AI-search visibility case studythreesevenmarketing.com \u2014 Reports an 18-month client measurement with ~100 \u2192 1,283 AI-driven visits/month, 15 \u2192 636 citations, and a 40% improvement in citation position. The unusually long observation period makes this more interesting than many short GEO case studies.\n\nOutreachCrayon \u2014 D2C AI-visibility case studyoutreachcrayon.com \u2014 Six months of measurements, including 13 \u2192 130 AI-referral sessions/month and 332/454 tracked prompts citing the client by June 2026. It also describes the underlying GA4, Search Console, Ahrefs/SE Ranking, and AI-tracking measurements.\n\nFor research rather than client case studies\n\nI\u2019d also watch Profound and Digital Authority Partners.\n\nProfound \u2014 \u201cThe AI mention effect\u201dtryprofound.com is particularly compelling because it goes beyond \u201cwe increased visibility.\u201d It analyzed 2+ million AI conversations alongside subsequent browsing behavior and found AI-introduced brands received 1.5\u20132.5\u00d7 their forecast baseline in site visits over the following seven days.\n\nDigital Authority Partners \u2014 AI Visibility Gap Studydigitalauthority.me uses a longitudinal design: 1,127 URLs, 30 queries, five intent types, six industries, and three collection waves across six weeks. One notable finding was that 66% of URLs cited in week 1 were no longer cited by week 4.\n\nMy credibility ranking\n\nIf you're building a benchmark library for AI visibility/GEO, I'd roughly rank them:\n\nProfound \u2014 strongest for large-scale behavioral/visibility research.\n\nDigital Authority Partners \u2014 strong methodology and longitudinal measurement.\n\nHumanswith.AI \u2014 strongest collection of actual before/after practitioner cases.\n\nScrunch \u2014 excellent customer-level visibility measurements.\n\nTrust Insights \u2014 especially valuable for connecting AI visibility to traffic/engagement.\n\nThree Seven Marketing \u2014 useful long-duration case evidence.\n\nOutreachCrayon \u2014 useful detailed operational case study, but I'd treat agency-reported results with somewhat more caution.\n\nOne important caveat: almost all commercial GEO case studies are vendor/agency-produced, so the numbers aren't equivalent to independent randomized experiments. The best ones disclose the prompt set, engines, measurement period, baseline, denominator, and methodology. That's the standard I'd use to separate credible evidence from \u201cwe increased AI visibility by 300%\u201d marketing claims.\n\nIf you want, I can also compile 20\u201330 of the best publicly available AI-visibility/GEO case studies and rank them by methodological credibility, including the exact metrics, baseline, timeframe, and whether the results were independently verifiable."
    },
    {
      "day": "2026-10-04",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "I\u2019ll look for organizations that publish specific AI-visibility/GEO case studies with quantified outcomes, rather than generic \u201cAI search is growing\u201d reports. I\u2019ll prioritize first-party evidence and independent measurement."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Yes. I found a relatively small group of AEO/GEO agencies that publish named-client case studies with actual numbers. I\u2019d separate them by the strength of the evidence.\n\nAgency\nDocumented client result\nEvidence quality\nIntero Digital\nFreshpet: +645% Google AI Overview visibility and +46% AI-referral traffic; other GEO cases include 1,200+ AI Overview appearances and +1,214% engagement from AI referrals.\n\nVery strong\nSnakebite Consulting\nThe W Group: Google clicks 579 \u2192 4,114/month (7x), 84 tracked leads, $6.38M transaction volume, and #1 ChatGPT recommendation for a target query.\n\nVery strong\nCited Agency\n303 London: 47 qualified leads / $1.1M pipeline in 90 days, $23.4K average deal size from AI-discovered prospects, 34% shorter sales cycle.\n\nStrong\nAEO.co / Smart Marketer\nOutdoor Vitals: 0% \u2192 34% AI Visibility Score in 11 days, with 22/60 monitored results citing the brand. Winona: 13% \u2192 50% Google AI Mode share of voice.\n\nStrong for AI-visibility metrics\nLatent Analytics\nRR Service: 0/15 \u2192 8/20 AI mentions after one month, across ChatGPT, Gemini, Perplexity and Claude. Publishes budget, methodology and prompt set.\n\nStrong methodology; smaller sample\nThe GEO Agency\nPublishes pre-optimization GEO scores for named clients: ClippingStars 41/100, Kirgo 32/100, OneShot.ai 43/100, with methodology and recommendations.\n\nModerate \u2014 mostly baseline/audit evidence rather than demonstrated lift\n(un)Common Logic\nPrecious-metals client: 300% improvement in Google AI Overview citations through topical authority, internal linking, schema and entity work.\n\nModerate/strong\nAEO Authority\nPublishes an anonymized B2B SaaS case claiming 340% citation-rate growth and a local HVAC case going 12% \u2192 58% citation rate, plus 40% more inbound calls.\n\nModerate \u2014 less independently verifiable\n\nMy shortlist\n\nIf you're actually evaluating agencies to hire, I'd start with these four:\n\n1. Intero Digital \u2014 best evidence breadth\n\nThis is the most established agency on the list and has a substantial case-study library spanning traditional SEO plus GEO. Importantly, its GEO portfolio isn't limited to \"we got mentioned by ChatGPT\"; it reports downstream metrics such as AI referral traffic, engagement and revenue. Its Freshpet case is particularly interesting because the client is named.\n\n2. Snakebite Consulting \u2014 best AEO \u2192 business-outcome case\n\nThe W Group case is unusually detailed. It gives before/after Google Search Console numbers, CRM leads, transaction volume, engagement length, and the specific ChatGPT query. That's considerably more useful than a generic claim that \"AI visibility increased.\"\n\n3. Cited Agency \u2014 strongest pure-play AEO pipeline story\n\nThe 303 London case connects AI discovery to 47 qualified leads and $1.1M of pipeline, rather than stopping at citation/share-of-voice metrics. That's the kind of case study I'd want to see if the goal is revenue rather than visibility.\n\n4. AEO.co \u2014 strongest short-term AI-visibility measurement\n\nIts Outdoor Vitals case is interesting because it specifies the measurement window (11 days), initial score, resulting score and number of monitored results citing the brand. It also says the results were used with permission.\n\nOne important caveat\n\nI'd not treat all AEO/GEO case studies as equally credible. The field is young, and many agencies publish percentages without giving:\n\nthe exact prompt set,\n\nbaseline and post-treatment observations,\n\nwhich AI engines were measured,\n\nmeasurement dates,\n\nwhether the client was already doing SEO/content/PR simultaneously,\n\nor whether the claimed AI visibility translated into traffic/leads/revenue.\n\nFor example, Intero's impressive 5,665% GEO result comes from an anonymous kitchen-equipment brand, so I'd give more evidentiary weight to its named Freshpet case than to that headline number.\n\nIf you're looking for an agency to hire, my evidence ranking would therefore be: Intero Digital \u2248 Snakebite > Cited > AEO.co > Latent Analytics > the rest.\n\nIf you tell me your industry, company size, and whether your priority is ChatGPT/Perplexity citations, AI traffic, or leads/revenue, I can narrow this to the 3 agencies I'd interview and the specific case studies I'd ask them to substantiate."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "If you mean AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) agencies that publish measurable client outcomes rather than just service descriptions, the list is still relatively short. GEO/AEO is a newer discipline, so many agencies publish frameworks or \u201cAI visibility\u201d claims without detailed before/after data.\n\nHere are agencies with publicly documented results or case studies:\n\nAgency\nDocumented results available\nExamples of published outcomes\nIntero Digital\nYes \u2014 GEO case studies with metrics\nReports include AI visibility increases, AI Overview appearances, AI-driven referral growth, and engagement improvements. Examples include a culinary products brand reporting a 5,665% increase in generative search visibility and TRACOM Group reporting a 1,184% increase in generative search visibility.\n\nAEO.co\nYes \u2014 AEO visibility case studies\nPublishes tracked AI visibility outcomes, including Outdoor Vitals moving from 0% AI visibility at intake to 34% across monitored results, Winona reaching 50% Google AI Mode share of voice, and BabyRx receiving GPT citations.\n\nOptimizeGEO\nYes \u2014 GEO case studies\nDocuments examples such as a global advisory brand tripling AI search visibility, increasing AI-referred traffic by 151%, and reporting revenue impact tied to AI programs.\n\nAY Rank\nYes \u2014 GEO case studies\nPublishes client metrics including AI citation tracking, monitored prompts, and examples such as Wearview reaching $36K MRR with GEO-related growth claims.\n\nLatent Analytics\nYes \u2014 GEO case studies\nProvides case studies with baseline \u201cshare of model,\u201d intervention details, and changes in LLM citations across ChatGPT, Gemini, and Perplexity.\n\nProCloser.ai\nYes \u2014 AEO/GEO case studies\nPublishes case studies with metrics such as AI referral growth, engaged AI sessions, qualified leads, and revenue changes. One example reports +405% YoY LLM referral growth for a sports technology SaaS client.\n\nArc Intermedia\nYes \u2014 AI search case studies\nPublishes AI search outcomes including reported increases in AI search traffic and ChatGPT traffic.\n\nAEO Agency\nYes \u2014 case-study library\nPublishes AEO case studies across industries including e-commerce, education, manufacturing, real estate, and health tech.\n\nSEO Yodha\nYes \u2014 GEO results pages\nPublishes AI visibility metrics, including claims around AI-cited pages and visibility score improvements for clients.\n\nAgencies I\u2019d put on a shortlist for due diligence\n\nFor a buyer evaluating vendors, I\u2019d prioritize agencies that show:\n\nNamed clients (not anonymous \u201cSaaS company\u201d examples)\n\nBaseline \u2192 after measurements\n\nTracked prompts/query sets\n\nWhich AI engines were measured (ChatGPT, Gemini, Perplexity, AI Overviews, Claude)\n\nBusiness outcomes (leads, revenue, conversions), not only \u201cAI visibility scores\u201d\n\nThe strongest documentation styles currently appear to be:\n\nIntero Digital \u2014 strongest enterprise-style reporting and broader marketing attribution.\n\nAEO.co \u2014 clearer AEO-specific visibility measurement.\n\nOptimizeGEO / AY Rank / Latent Analytics \u2014 stronger emphasis on GEO measurement methodology and AI citation tracking.\n\nProCloser.ai \u2014 more direct lead/revenue-oriented case studies.\n\nA caveat: because AEO/GEO measurement standards are still emerging, \u201cAI visibility score\u201d is not yet a universally standardized metric. The most credible case studies explain the query set, timeframe, AI engines tracked, and attribution method rather than only showing a percentage increase."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Yes. If by \u201cdocumented client results\u201d you mean named clients + before/after metrics + methodology/measurement details, the field narrows considerably.\n\nBased on current public case studies, these are the agencies I\u2019d put on the shortlist:\n\nAgency\nBest documented result\nEvidence quality\nMy take\nAEO Labs\nOpenSea: 5% \u2192 27% AI citation share across 100+ prompts in 7 months; also iSleep: $12.8K AI-attributed revenue / 71 orders\nExcellent\nStrongest evidence overall\nCited Agency\n303 London: 47 qualified leads / $1.1M pipeline in 90 days; claims #1 AI recommendation across multiple engines\nGood\nStrong business-outcome orientation\nBCC Interactive\nCrowne Atlantic: AI Overview citations increased from 3 \u2192 49; #1 citation on 41 tracked keywords\nGood\nParticularly credible for established SEO + AEO\nAEO.co / Smart Marketer\nOutdoor Vitals: 0% \u2192 34% AI Visibility Score in 11 days; Winona: 13% \u2192 50% Google AI Mode share of voice\nGood\nVery focused on AI visibility measurement\nToto SEO\nClient portfolio shows 2\u00d7 AI-assistant visits over 12 months alongside conventional SEO gains\nGood, but less AI-specific\nMore SEO/GEO hybrid than pure AEO\nProCloser.ai\nSports-tech SaaS: +405% LLM referral growth, +295% engaged AI sessions, +200% qualified leads\nModerate\u2013good\nInteresting if you care about revenue/lead outcomes\nLatent Analytics\nPublishes baseline Share of Model, interventions, and changes in LLM citations across ChatGPT/Gemini/Perplexity\nModerate\nParticularly interesting for rigorous GEO measurement\n\n1. AEO Labs \u2014 my #1 for evidence\n\nAEO Labs case studiesaeolabs.ai\n\nThis is probably the best public evidence I've found from an agency specializing specifically in AEO.\n\nTheir OpenSea case is unusually well documented: citation share went from 5% to 27%, measured across 100+ tracked AI prompts using Profound over seven months. They also provide a Gemini result that readers can independently check.\n\nEven better, they publish different kinds of outcomes rather than only AI-visibility scores:\n\nOpenSea \u2014 5% \u2192 27% citation share\n\nTry Create \u2014 $2M \u2192 $25M organic revenue\n\niSleep \u2014 $12.8K AI-attributed revenue across 71 orders\n\nEnter.Health \u2014 28\u00d7 impressions on its fastest-growing content page\n\nCortico Health \u2014 went from blocked by AI crawlers to accessible\n\nLux Unfiltered \u2014 independently checkable Gemini recommendation\n\nWhy I like them: they're unusually transparent about when a result doesn't persist. For example, they explicitly say an old Upsun ChatGPT #1 result was a 2025 result rather than pretending it's still true. That's a meaningful credibility signal in a rapidly changing field.\n\n2. Cited Agency \u2014 strongest-looking pipeline case\n\nCited Agency case studiescitedagency.ai\n\nTheir 303 London case is particularly interesting because it connects AEO to actual commercial outcomes rather than simply saying \"we got cited.\"\n\nThey report:\n\n47 qualified leads in 90 days\n\n$1.1M pipeline\n\n$23,400 average deal size\n\n34% shorter sales cycle\n\nVisibility across ChatGPT, Perplexity, Claude and Gemini\n\nThey also explain the work: 50+ query variations, 23 high-intent clusters, schema, niche positioning, content creation and external authority/distribution.\n\nCaveat: the commercial numbers are agency-reported, so I'd ask to see CRM/GA4 evidence before treating the $1.1M as independently verified.\n\n3. BCC Interactive \u2014 interesting because it bridges traditional SEO and AEO\n\nBCC Interactive's AEO resultsbccinteractive.com\n\nTheir Crowne Atlantic example is particularly concrete: Google AI Overview citations reportedly went from 3 to 49 between October 2025 and March 2026.\n\nTheir underlying case study also reports 300%+ qualified-lead growth, and explains how they built location-specific pages and structured content for AI Overviews.\n\nWhy it's worth considering: unlike some newer GEO shops, BCC has a substantial traditional SEO operation underneath its AEO offering. That matters because AI visibility is still heavily dependent on the underlying web ecosystem.\n\n4. AEO.co / Smart Marketer \u2014 very AI-specific measurement\n\nAEO.co's client resultsaeo.co\n\nTheir public examples include:\n\nOutdoor Vitals: 0% \u2192 34% AI Visibility Score in 11 days, with 22/60 monitored results citing the brand\n\nWinona: 13% \u2192 50% Google AI Mode share of voice\n\nBabyRx: six GPT citations in three weeks\n\nI like the fact that they give the query set, measurement window and engine rather than simply saying \"AI visibility increased.\"\n\nThe limitation is that some of their metrics are proprietary visibility scores, which makes them less directly comparable with revenue, leads, or raw citation counts.\n\n5. Toto SEO \u2014 more conservative, but interesting\n\nToto SEO results and case studiestotoseo.com\n\nToto is somewhat different. It's an SEO/GEO agency rather than an AEO-only shop.\n\nThey report, across clients:\n\n2\u00d7 AI-assistant visits over 12 months\n\n58% growth in overall search visits\n\n2.7\u00d7 page-one keywords\n\naverage Google position improving from 36.9 \u2192 16.3\n\nTheir methodology is also explicitly described: GA4, Google Search Console and client form data, with year-over-year comparison and spam/test leads removed.\n\nI'd favor this kind of agency if you want GEO integrated with conventional SEO rather than treating AI search as an isolated channel.\n\n6. ProCloser.ai \u2014 strongest-looking lead/revenue claims after Cited\n\nProCloser.ai case studiesprocloser.ai\n\nTheir published results include:\n\nSports-tech SaaS: +405% LLM referral growth\n\n+295% engaged AI sessions\n\n+200% qualified leads from AI\n\n+30% revenue\n\nHome-services SaaS: +362% AI traffic\n\nFinTech SaaS: +191% AI sessions\n\nE-commerce: +70% AI referral growth\n\nI'd put these below AEO Labs/BCC in evidence quality because the public documentation doesn't expose quite as much underlying verification.\n\nMy ranking\n\nIf I were evaluating agencies to actually hire, I'd rank them roughly:\n\n1. AEO Labs \u2014 strongest transparent, measurable AEO evidence\n2. BCC Interactive \u2014 particularly strong AEO + established SEO combination\n3. Cited Agency \u2014 impressive commercial/pipeline case studies\n4. AEO.co \u2014 excellent focus on AI visibility measurement\n5. Toto SEO \u2014 credible SEO/GEO hybrid with relatively transparent methodology\n6. ProCloser.ai \u2014 compelling business metrics, but I'd request more substantiation\n7. Latent Analytics \u2014 worth investigating if measurement rigor is the priority\n\nOne important distinction: \u201cdocumented\u201d doesn't necessarily mean \u201cindependently audited.\u201d Most agencies publish their own case studies. The strongest evidence is where they provide a named client, exact prompt set, baseline, date range, measurement platform, and/or a result that you can reproduce yourself.\n\nIf you're actually shopping for an AEO/GEO agency, I can also make you a 10\u201315 agency comparison with pricing, named clients, documented results, services, geography, and an evidence/credibility score. That would be a better way to separate the serious operators from the agencies that are mostly marketing the buzzword."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Yes. I\u2019d narrow the field considerably if \u201cdocumented client results\u201d is the standard.\n\nThe AEO/GEO market is still young, and a lot of agencies publish impressive-looking AI-visibility claims without enough baseline data, client identification, methodology, or business outcomes. The agencies below have materially better evidence.\n\nAgency\nDocumented client result\nEvidence quality\nMy take\nAEO Labsaeolabs.ai\nOpenSea: 5% \u2192 27% citation share over 7 months, measured across 100+ prompts in Profound; they also document Gemini results that can be independently checked.\n\n\u2605\u2605\u2605\u2605\u2605\nStrongest GEO/AEO evidence I've found\nAEO Engineaeoengine.ai\nOppoSuits: $751,779 revenue, 1,221 purchases, +60.8% revenue growth, 1,339 AI citations; other named clients have substantial organic/AI results.\n\n\u2605\u2605\u2605\u2605\u2605\nExcellent if you care about revenue + AI visibility, not just citations\nCited Agencycited.agency\n303 London: 47 AI-generated qualified leads worth $1.1M pipeline, $23.4K average deal size and 34% shorter sales cycle within 90 days.\n\n\u2605\u2605\u2605\u2605\u2606\nParticularly compelling for B2B/service businesses\nLatent Analyticslatentanalytics.com.au\nRR Service went from 0/15 AI mentions \u2192 8/20 (40%) across ChatGPT, Gemini, Perplexity and Claude after deployment, using a defined prompt protocol.\n\n\u2605\u2605\u2605\u2605\u2606\nGood measurement discipline, especially for smaller GEO engagements\nNaturailynaturaily.com\nTheir own GEO case study reports 38% AI share of voice, 43 Google AI Overview citations, 105 AI Mode citations and 28,970 Bing/Copilot citations over 120 days.\n\n\u2605\u2605\u2605\u2605\u2606\nInteresting because it shows multi-engine measurement, although the featured result is for Naturaily itself\nturn1search7\nMultiple named clients: Alma reportedly went from 8 \u2192 24 monthly demos, with 520% AI-visibility growth; Gentz appears on 3/4 AI platforms for 40+ queries.\n\n\u2605\u2605\u2605\u2605\u2606\nGood breadth of client examples\n(un)Common Logicuncommonlogic.com\nU.S. Money Reserve: 300% improvement in Google AI Overview visibility, attributed to topical authority, internal linking, schema and identity optimization.\n\n\u2605\u2605\u2605\u00bd\u2606\nMore traditional SEO/AEO agency; less GEO-specialist\n\nThe three I'd investigate first\n\n1. AEO Labs \u2014 best for rigorous GEO/AEO measurement\n\nTheir OpenSea case is unusually good because it doesn't just say \u201cAI visibility increased.\u201d It gives:\n\na named client;\n\na baseline;\n\na defined prompt set;\n\na specific measurement platform;\n\na timeframe;\n\nthe actual citation-share change;\n\nand an independently checkable Gemini result.\n\nThat's much closer to the standard I'd want from an agency before trusting its claims.\n\n2. AEO Engine \u2014 best evidence of commercial impact\n\nAEO Engine is particularly interesting because its case studies connect AI visibility to revenue and purchases, rather than stopping at \u201cwe got cited by ChatGPT.\u201d Its OppoSuits case, for example, reports $751,779 in revenue alongside 1,339 AI citations and 1,221 purchases, with the reporting period and attribution methodology disclosed.\n\nThey also publish a fairly large portfolio of named client results across ecommerce, legal, wellness and B2B.\n\n3. Cited Agency \u2014 best if you're a service/B2B company\n\nThe 303 London case is compelling because it connects AEO to the actual sales funnel: 47 qualified leads, $1.1M pipeline and a 34% shorter sales cycle, rather than merely reporting citation share.\n\nOne important caveat\n\nI would not treat all \u201cAI visibility\u201d metrics as equivalent.\n\nFor example:\n\n\u201cAI citations increased 300%\u201d\n\nis interesting, but considerably weaker evidence than:\n\n\u201cCitation share increased from 5% to 27% across 100 tracked prompts, and the resulting AI-discovered traffic generated X qualified leads / $Y revenue.\u201d\n\nThe strongest agencies are beginning to report the latter.\n\nI'd therefore score agencies on four dimensions:\n\nNamed clients \u2014 not anonymous \u201cSaaS company.\u201d\n\nBaseline \u2192 outcome \u2014 not just an impressive absolute number.\n\nReproducible methodology \u2014 prompts, engines, timeframe and measurement platform.\n\nBusiness outcome \u2014 leads, pipeline, revenue or conversions in addition to AI citations.\n\nOn that basis, AEO Labs and AEO Engine stand out, with Cited Agency particularly interesting for lead-generation businesses.\n\nIf you're actually shopping for an agency, I can also build you a 10\u201315 agency shortlist ranked by documented results, pricing, client quality, methodology, and whether the results are independently verifiable."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Yes. I\u2019d separate \u201chas a case-study page\u201d from \u201chas unusually well-documented, measurable client results.\u201d Based on what I found, these are the agencies I\u2019d put on a serious shortlist:\n\nAgency\nDocumented client\nEvidence I found\nMy confidence\nAEO Labs\nOpenSea, Try Create, iSleep, Enter.Health, others\nPrompt-level AI citation data, named measurement tools, dates, screenshots/share links, GA4/Search Console results\nVery high\nCited Agency\n303 London, Alma, Gentz, LeverBrands\nAI-platform visibility + pipeline, leads, deal size, sales-cycle metrics\nHigh\nSnakebite Consulting\nThe W Group\n16-month engagement, Google Search Console data, 84 leads, $6.38M tracked transaction volume, ChatGPT positioning\nHigh\nSeal Global\nNamed but anonymized luxury e-commerce retailer\nAI share of voice, AI Overview citations, ChatGPT/Perplexity citation share, organic revenue\nMedium-high\nFuel Online\nEnterprise cloud-security provider\nBefore/after AI citations, MQLs, deal size and pipeline\nMedium\n(un)Common Logic\nU.S. Money Reserve\n300% improvement in Google AI Overview visibility\nMedium\nLatent Analytics\nRR Service / Studia in Europa\nBaseline vs. post-intervention Share of Model and LLM citations\nMedium\n\n1. AEO Labs \u2014 strongest documentation\n\nAEO Labs case studiesaeolabs.ai is probably the most interesting if your criterion is \u201cshow me the evidence, not just testimonials.\u201d\n\nFor example, its OpenSea case documents a move from 5% \u2192 27% AI citation share over seven months, across 100+ tracked prompts, measured in Profound. It also provides a Gemini result that readers can independently check.\n\nThey have other unusually concrete examples:\n\nTry Create: $2M \u2192 $25M organic revenue, plus continued #1 ChatGPT positioning for its primary prompt.\n\niSleep: $12.8K in AI-attributed revenue across 71 orders, measured in the client's GA4.\n\nEnter.Health: 28\u00d7 impressions on its fastest-growing content page, using Search Console.\n\nCortico Health: went from blocking major AI crawlers to being fully accessible.\n\nLux Unfiltered: documented Gemini recommendation results.\n\nWhy I rank them highly: they actually disclose how the result was measured and acknowledge when a historical AI result no longer reproduces. That's a much better sign than simply saying \u201c+300% AI visibility.\u201d\n\n2. Cited Agency \u2014 strongest on pipeline/revenue outcomes\n\nCited Agency case studiescited.agency has some of the clearest business-outcome reporting.\n\nFor example, its 303 London case reports:\n\n47 qualified leads\n\n$1.1M pipeline\n\n$23.4K average deal size\n\n34% shorter sales cycle\n\nwithin 90 days of the AEO campaign.\n\nIt also reports Alma going from 8 \u2192 24 monthly demos, with a 520% increase in AI-search mentions and 156% growth in trial signups.\n\nWhy I like them: they aren't measuring only \u201cAI citations\u201d; they're attempting to connect AI visibility to leads and revenue, which is ultimately what I'd want an agency to be accountable for.\n\n3. Snakebite Consulting \u2014 particularly interesting for local/high-ticket businesses\n\nSnakebite's W Group case is unusually detailed.\n\nThe agency reports that over a 16-month engagement, The W Group went from:\n\nGoogle average position 20.8 \u2192 10.0\n\n579 \u2192 4,114 monthly clicks\n\n39K \u2192 325K monthly impressions\n\n84 organic leads\n\n$6.38M tracked transaction volume\n\nand #1 ChatGPT recommendation for \u201cbest real estate team in Baton Rouge.\u201d\n\nThe important caveat is that the $6.38M isn't presented as purely AI-attributed revenue\u2014the agency itself discusses the attribution problem and says some AI-influenced leads are likely being classified as organic/direct.\n\nSo I'd classify this as strong AEO + SEO evidence, rather than a clean \u201cAEO generated $6.38M\u201d claim.\n\n4. Seal Global \u2014 impressive GEO/AEO numbers, but more anonymized\n\nSeal Global reports a luxury e-commerce client going from 4.2% \u2192 68.5% AI share of voice, with:\n\n173% organic traffic growth\n\n412 AI Overview/snippet wins\n\n172% organic revenue growth\n\nGoogle AI Overview citation share: 6.5% \u2192 74.2%\n\nChatGPT citation share: 2.1% \u2192 62.8%\n\nPerplexity citation share: 3.8% \u2192 69.1%.\n\nThat's a very substantial case study.\n\nThe drawback: the client isn't named, so you can't independently interview the customer or easily verify the numbers. I'd therefore put it below AEO Labs despite the impressive metrics.\n\n5. Fuel Online \u2014 good enterprise AEO/GEO evidence\n\nFuel reports an enterprise cloud-security engagement where AI citations went from 0 \u2192 65 distinct prompts, while:\n\nMQLs went 18 \u2192 45/month (+150%)\n\naverage deal size increased 20%\n\ninbound pipeline went $2.1M \u2192 $6.5M (+210%).\n\nThat's exactly the kind of KPI progression I'd want to see from an enterprise GEO engagement.\n\nAgain, the client is anonymized, so I'd put it in the \u201cinteresting but verify during diligence\u201d bucket.\n\nMy actual shortlist\n\nIf you're evaluating agencies to hire, I'd narrow it to:\n\nAEO Labs \u2014 best evidence quality / measurement transparency.\n\nCited Agency \u2014 strongest-looking connection between AEO and pipeline.\n\nSnakebite Consulting \u2014 particularly compelling for local, professional-services and high-ticket businesses.\n\nSeal Global \u2014 impressive enterprise/e-commerce GEO numbers, but anonymized.\n\nFuel Online \u2014 interesting enterprise AEO case with pipeline metrics.\n\nThe biggest thing I'd watch out for is agencies reporting \u201cAI visibility increased 300%\u201d without telling you:\n\nhow many prompts were tracked,\n\nwhich AI engines,\n\nwhether the prompts were fixed over time,\n\nwhether results were independently verifiable,\n\nwhether \u201cvisibility\u201d means mentions, citations, rank, or share of voice,\n\nand whether actual leads/revenue were attributed to AI.\n\nAEO Labs is particularly strong on those methodological details; its published case-study methodology explicitly distinguishes Profound measurements, client Search Console/GA4 data, and directly reproducible AI results.\n\nIf you tell me your industry, company size, and whether you're looking for AEO/GEO for B2B, SaaS, e-commerce, local services, or an agency itself, I can narrow this to the 3 agencies with the most relevant documented results and compare their pricing/service models."
    },
    {
      "day": "2026-10-05",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Yes. The AEO/GEO market is still young, so I\u2019d distinguish \u201chas a case-study page\u201d from \u201chas documented, quantified client outcomes.\u201d Based on current public evidence, these are among the stronger candidates:\n\nAgency\nDocumented client result\nEvidence quality\nIntero Digital\nKitchen-equipment brand: 5,665% increase in AI search visibility, 189% YoY growth in AI-driven referrals. Manufacturing client: 1,200+ Google AI Overview appearances and 24% organic revenue growth. TRACOM: 1,184% generative-search visibility increase and 1,214% increase in AI-referred engagement.\nStrong\nMAAI\nAnglo Pacific: 52.9% increase in organic clicks, 35.6% increase in impressions and 29.9% increase in organic users after a combined SEO/AEO/GEO program.\nStrong\nAEO Labs\nOpenSea: citation share reportedly 5% \u2192 27% over seven months. iSleep: $12.8K AI-attributed revenue / 71 orders. Try Create: organic revenue $2M \u2192 $25M, while retaining #1 ChatGPT recommendation for its primary prompt.\nVery strong / unusually transparent\nProCloser.ai\nSports-tech SaaS: 405% YoY LLM referral growth, 295% AI-session growth, 200% qualified-lead growth and 30% revenue growth. Other cases report 362% and 191% AI-traffic/session growth.\nStrong, but agency-reported\nThe Rank Collective\nJoin.com: citation rates reportedly rose from 0\u20135% to 76\u201394% across platforms, with 4\u00d7 qualified leads in 43 days. Other cases include $2.1M attributed pipeline and 312% citation growth.\nStrong headline metrics\nCited Agency\n303 London: $1.1M pipeline / 47 qualified leads from AI-discovered prospects in 90 days. Alma: 3\u00d7 demo requests, 520% AI-visibility increase and 156% trial-signup growth.\nStrong, but newer agency\nArc Intermedia\nNational retirement-community nonprofit: 726% increase in AI-search traffic and 2,597% increase in ChatGPT traffic.\nStrong\nSeal Global\nLuxury e-commerce client: 68.5% AI share of voice, 412 AI Overview/snippet wins, 173% organic traffic growth and 172% organic revenue lift.\nStrong\nThe GEO Agency\nPublishes audits for named brands such as ClippingStars, Kirgo and OneShot, including pre-optimization GEO scores (41/100, 32/100 and 43/100).\nModerate \u2014 more diagnostic than outcome-based\n\nMy shortlist\n\nIf you're actually evaluating agencies to hire, I'd put these at the top of the diligence list:\n\nAEO Labs \u2014 best-looking public evidence if you care specifically about AI citations/recommendations plus business outcomes. Their case studies explicitly describe verification methods, including Profound, GA4, Search Console and shareable AI results.\n\nIntero Digital \u2014 strongest choice if you want an established SEO agency that has expanded into GEO and can connect AI visibility to conventional traffic/revenue metrics. Their published cases include very large AI-visibility and AI-referral improvements.\n\nMAAI \u2014 interesting because its Anglo Pacific case gives a matched before/after period and explicitly says the metrics come from Search Console and GA4.\n\nProCloser.ai \u2014 particularly interesting for SaaS/B2B because it reports LLM referrals, AI sessions, qualified leads and revenue rather than only \u201ccitation rate.\u201d\n\nThe Rank Collective \u2014 worth investigating if your primary KPI is LLM citation/share-of-answer, with some cases connecting that to leads and pipeline.\n\nOne important caveat\n\nI'd not treat all of these numbers as independently audited. Most AEO/GEO agencies are reporting their own client case studies. The strongest evidence is where you can see:\n\nnamed client rather than \u201ca SaaS company\u201d\n\nexact baseline and end date\n\nspecific prompts/query set\n\nspecific engines (ChatGPT, Gemini, Perplexity, etc.)\n\ncitation/share-of-voice methodology\n\nGA4/Search Console/CRM revenue or lead data\n\nscreenshots or independently accessible verification\n\na clear distinction between AI visibility and actual business outcomes\n\nFor example, AEO Labs explicitly provides verification methods for its cases, while MAAI gives a matched pre/post measurement window and identifies Search Console/GA4 as the sources. Those are considerably more useful to me than an agency simply saying \u201cour client got 300% more visibility.\u201d\n\nIf you tell me what kind of company you want to hire an agency for (SaaS, ecommerce, local business, B2B, professional services, etc.) and roughly your budget, I can narrow this to the 5 agencies with the strongest verifiable results for your specific use case, including pricing/engagement model where publicly available."
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If by \u201cshow clients gaining citations\u201d you mean **an agency can demonstrate before/after evidence that a client\u2019s pages or brand are being cited/recommended in ChatGPT, Perplexity, Gemini, Google AI Overviews, etc.**, there are several agencies publishing this kind of proof.\n\n### Agencies worth evaluating\n\n- **Previsible** \u2014 Particularly interesting for larger brands. They publish a Squaremouth case study showing **270% growth in ChatGPT-driven revenue over six months**, and describe their work as engineering content and structured data to become citation sources. [Previsible](https://previsible.com/case-studies/?utm_source=chatgpt.com)\n- **The Rank Masters** \u2014 One of the more transparent examples I've found. They distinguish **brand visibility/mentions from actual URL citations**, track 64 commercial prompts across ChatGPT, Perplexity and Gemini, and report **6,831 owned citations over 90 days** in their published case study. [The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)\n- **Organic Reach** \u2014 Publishes a GEO case study for Vertex showing **+184% AI citations** and says the client became visible in Google AI Overviews, ChatGPT and Perplexity. [Organic Reach](https://www.organicreach.agency/case-studies/vertex-ai/?utm_source=chatgpt.com)\n- **Citant.ai** \u2014 Focused specifically on GEO/LLM visibility. Its AI-Toolbox case study reports AI assistants becoming the largest attributed source of paid conversions during the engagement, with citation and revenue attribution data. [Citant.ai](https://citant.ai/case-study/?utm_source=chatgpt.com)\n- **Over The Top SEO** \u2014 Publishes a case study claiming a B2B software client went from zero AI mentions to **87% of AI-generated responses** for its target category. The client is anonymized, so I'd put less evidentiary weight on this than named-client cases. [Over The Top SEO](https://www.overthetopseo.com/geo-case-study-ai-search-citations/?utm_source=chatgpt.com)\n- **Acceleration Partners** \u2014 More of a large-scale digital/affiliate marketing agency than a pure GEO shop, but its published financial-services case reports **AI share of voice increasing from 22% to 45%** and citations growing 59.4% month-over-month at peak. [Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com)\n- **Mavlers** \u2014 Offers GEO specifically around ChatGPT, Gemini, Perplexity and AI Overviews, including monthly AI share-of-voice reporting against competitors. [Mavlers Agency](https://www.mavlers.agency/generative-engine-optimization-services?utm_source=chatgpt.com)\n- **Traffiy** \u2014 Explicitly sells AEO/GEO around getting brands cited in ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews, with per-engine citation reporting. [Traffiy](https://traffiy.com/services/aeo-agency-usa?utm_source=chatgpt.com)\n\n### The ones I'd scrutinize most closely\n\nIf you're **shopping for an agency**, I'd put **The Rank Masters, Previsible, Organic Reach, and Citant.ai** near the top of the diligence list\u2014not necessarily because they're definitively the best, but because they're publishing unusually concrete evidence rather than simply saying \u201cwe do GEO.\u201d\n\nThere's an important distinction, though:\n\n> **\u201cThe brand was mentioned by ChatGPT\u201d \u2260 \u201cthe client's website gained citations.\u201d**\n\nThe strongest agencies should be able to show you, for a fixed set of commercial prompts:\n\n1. **Baseline citation rate**\n2. **Current citation rate**\n3. **Which URLs are being cited**\n4. **Which AI engines produced the citations**\n5. **Competitor citation/share-of-voice changes**\n6. **The exact prompts used**\n7. **Date-stamped screenshots or exports**\n8. Ideally, **AI-referred traffic/leads/revenue**\n\nThat distinction is particularly important because The Rank Masters explicitly reports citations separately from visibility/mentions, while other agency case studies sometimes combine those metrics. [The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)\n\nOne other fascinating finding: Verticality recently tested **31 GEO-agency buying questions across ChatGPT, Google AI Overviews and Perplexity**, collecting 1,126 citations. It found that many AI answers were sourcing third-party directories and \u201cbest agencies\u201d roundups rather than agency websites themselves. [Verticality](https://www.verticality.co/generative-engine-optimization-agency/?utm_source=chatgpt.com) That means **earning third-party citations/mentions can be just as important as optimizing the client's own site**.\n\nIf you're asking because **you want to hire an agency for your own company**, I can also give you a **shortlist of the 5\u201310 strongest GEO/AEO agencies, with pricing, client examples, evidence quality, industries served, and which ones can actually prove ChatGPT citations rather than just claiming AI visibility.**"
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If your standard is **\u201cshow me real client evidence that the agency increased citations/mentions in ChatGPT, Google AI Overviews, Perplexity, Gemini, etc.\u201d**, there are several agencies with unusually concrete public proof.\n\n### Strongest public evidence\n\n- **[Search Agency](https://search.agency/work?utm_source=chatgpt.com)** \u2014 Probably one of the strongest examples I found. They publish client-level AI citation-share data, including **DiscoverASR: 2\u00d7 AI mentions and +41 points in citation share**, and **Taman Safari Indonesia: 12% \u2192 38% AI citation rate and 15% \u2192 48% ChatGPT mentions**. They also explain their measurement methodology. [Search Agency](https://search.agency/work?utm_source=chatgpt.com)\n- **[Cite First AI](https://www.citefirst.ai/results?utm_source=chatgpt.com)** \u2014 Publishes an InCorp case study showing **0 AI citations \u2192 594 citations**, covering ChatGPT, Google AI Overviews, Gemini and Perplexity. This is particularly relevant if you want an agency focused specifically on *earning citations*. [CiteFirst](https://www.citefirst.ai/results?utm_source=chatgpt.com)\n- **[Quattr](https://www.quattr.com/case-studies?utm_source=chatgpt.com)** \u2014 Enterprise-oriented and has case studies measuring **AI citation share and AI Overview presence**, including a reported **3\u00d7 increase in AI citation share** and another **79% expansion in AI Overview presence**. [Quattr](https://www.quattr.com/case-studies?utm_source=chatgpt.com)\n- **[AEO Content](https://www.aeocontent.ai/cases/?utm_source=chatgpt.com)** \u2014 Publishes named-client results. For example, Understood Care reportedly went from roughly **1.2K \u2192 3.9K organic visits/month**, while gaining **110 additional AI Overview citations** and citations across ChatGPT and Perplexity. [AEO Content](https://www.aeocontent.ai/cases/?utm_source=chatgpt.com)\n- **[ES A Digital Agency](https://www.esadigitalagency.com/case-studies-library/b2b-saas-case-study?utm_source=chatgpt.com)** \u2014 Particularly interesting for B2B SaaS: reports **5.4\u00d7 more pages cited in Google AI Overviews and 2\u00d7 ChatGPT mentions** over six months, alongside substantial referring-domain growth. [ESA Digital](https://www.esadigitalagency.com/case-studies-library/b2b-saas-case-study?utm_source=chatgpt.com)\n- **[Polaris Agency](https://www.polarisagency.com/case-studies/geo-case-study-for-cyber-security-firm/?utm_source=chatgpt.com)** \u2014 Publishes a named Six Degrees case covering Google AI Overviews, ChatGPT, Perplexity, Gemini and Copilot, including achieving the **#1 Google AI Overview citation** for \u201cpenetration testing services.\u201d [POLARIS](https://www.polarisagency.com/case-studies/geo-case-study-for-cyber-security-firm/?utm_source=chatgpt.com)\n- **[The Hills Agency](https://aeohills.agency/work?utm_source=chatgpt.com)** \u2014 Has a named Regent Santa Monica case: under six months, they report **#1 AI answer for \u201cbest hotels Los Angeles,\u201d top-3 AI placement for 12 queries and +67% qualified traffic**. [AEO Hills Agency](https://aeohills.agency/work?utm_source=chatgpt.com)\n\n### Also worth examining\n\n- **Linkio** \u2014 publishes a particularly interesting local-search case where an agency's client began being named by **ChatGPT, Gemini and Google AI** within a week. [Linkio](https://www.linkio.com/case-studies/geo-coverage-map?utm_source=chatgpt.com)\n- **Citant.ai** \u2014 reports AI-Toolbox.co becoming a major source of attributed paying customers and provides detailed attribution data, rather than merely counting mentions. [Citant.ai](https://citant.ai/case-study/?utm_source=chatgpt.com)\n- **OutreachBloom** \u2014 reports a B2B software client going from **0/20 tracked AI prompts to 15/20**, with the brand appearing in 22% of relevant AI answers. [OutreachBloom](https://outreachbloom.com/case-studies/b2g-software-ai-seo?utm_source=chatgpt.com)\n- **AIFun Agency** \u2014 reports a local-service site going from zero to **47 unique ChatGPT citations in 90 days**, with a 312-query control set. [AIFunn](https://aifunn.com/blog/geo-case-study-lovable-site-chatgpt-citations?utm_source=chatgpt.com)\n\n### My take\n\nIf you're **evaluating an agency to hire**, I would put the most weight on agencies that can show you:\n\n1. **Named clients**, not just their own agency appearing in ChatGPT.\n2. **Baseline \u2192 current citation numbers.**\n3. **A fixed prompt/query set** so the improvement isn't cherry-picked.\n4. **Multiple AI engines**, not just Google AI Overviews.\n5. **Third-party/independent evidence or raw exports/screenshots.**\n6. Ideally, **business outcomes attributable to AI visibility**, rather than just \u201cwe got 500 citations.\u201d\n\nOn that basis, **Search Agency, Cite First AI, Quattr, AEO Content, and ES A Digital Agency** stand out from the initial research.\n\nOne important caveat: **AI citation counts are not yet standardized industry metrics**, and ChatGPT answers can change between sessions. An impressive-looking \u201c+300 citations\u201d claim isn't necessarily comparable to another agency's \u201c+300 citations.\u201d The methodology matters almost as much as the number.\n\nIf you're looking for agencies **specifically to benchmark against your own agency / pitch clients**, I can also build you a **top-10 competitive matrix with pricing, client names, exact citation results, methodology, industries served, and whether the evidence is independently verifiable**."
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If by **\u201cshow clients gaining citations\u201d** you mean agencies that publish actual before/after evidence of clients being **cited or mentioned by ChatGPT, Perplexity, Gemini, Google AI Overviews, etc.**, there are several worth investigating.\n\n### Strongest public proof I found\n\n- **[Previsible](https://previsible.com/case-studies/?utm_source=chatgpt.com)** \u2014 Particularly interesting for enterprise/B2B. They report that Squaremouth increased **ChatGPT-driven revenue 270% in six months**, and publish additional AI-search results for companies including Atlassian, Sage, Intercom and Coursera. [Previsible](https://previsible.com/case-studies/?utm_source=chatgpt.com)\n- **[The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)** \u2014 One of the more transparent examples. They publish a 90-day measurement covering **64 commercial prompts**, with **6,831 owned citations** across ChatGPT, Perplexity and Gemini; 948 were from ChatGPT. Importantly, they distinguish *brand mentions* from actual *URL citations*. [The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)\n- **[SERP Masters](https://serpmasters.com/geo-ai-optimization/?utm_source=chatgpt.com)** \u2014 Claims a client generated **1,100+ Google AI Overview citations and 114 ChatGPT citations**, including competitive queries in healthcare and local services. [SERP Masters](https://serpmasters.com/geo-ai-optimization/?utm_source=chatgpt.com)\n- **[Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com)** \u2014 More of an established performance/affiliate agency than a pure GEO shop. Their published case study reports **AI share of voice increasing from 22% to 45%** and citations growing **59.4% month-over-month** for a financial-services client. [Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com)\n- **[AIFun Agency](https://aifunn.com/blog/geo-case-study-lovable-site-chatgpt-citations?utm_source=chatgpt.com)** \u2014 Publishes a case study claiming a client went from zero to **47 unique ChatGPT citations in 90 days**, using a 312-query control set. [AIFun \u2014 The Lovable Growth Agency](https://aifunn.com/blog/geo-case-study-lovable-site-chatgpt-citations?utm_source=chatgpt.com)\n- **[Citant.ai](https://citant.ai/case-study/?utm_source=chatgpt.com)** \u2014 Publishes a particularly useful revenue-oriented case study: AI assistants became the largest attributed source of paid conversions for AI-Toolbox.co during the engagement, with citation/traffic measurements across multiple platforms. [Citant.ai](https://citant.ai/case-study/?utm_source=chatgpt.com)\n- **[ShowUpWithAI](https://showupwithai.com/blog/geo-case-study-dtc-pet-brand/?utm_source=chatgpt.com)** \u2014 Reports a DTC pet brand going from effectively invisible to being cited across **ChatGPT, Perplexity, Gemini and Google**, appearing in as many as one in four AI answers in its category. [ShowUpWithAI](https://showupwithai.com/blog/geo-case-study-dtc-pet-brand/?utm_source=chatgpt.com)\n- **[Quattr](https://www.quattr.com/case-studies?utm_source=chatgpt.com)** \u2014 More enterprise SEO/AI-visibility oriented. Their published cases include **3\u00d7 AI citation share**, **79% more answer-engine citations**, and other measured AI-search improvements for major brands. [Quattr](https://www.quattr.com/case-studies?utm_source=chatgpt.com)\n\n### Agencies I'd shortlist\n\nIf your goal is **\u201cI want an agency that can show my client concrete evidence that we went from X citations to Y citations,\u201d** I'd put these at the top of the evaluation list:\n\n| Agency | Public evidence | Measurement quality |\n|---|---|---|\n| **The Rank Masters** | 6,831 citations / 90 days | \u2b50\u2b50\u2b50\u2b50\u2b50 |\n| **Previsible** | 270% ChatGPT revenue growth | \u2b50\u2b50\u2b50\u2b50\u2b50 |\n| **Citant.ai** | AI citations + attributed conversions | \u2b50\u2b50\u2b50\u2b50\u2b50 |\n| **Quattr** | AI citation-share case studies | \u2b50\u2b50\u2b50\u2b50\u00bd |\n| **Acceleration Partners** | 59.4% citation growth + SOV | \u2b50\u2b50\u2b50\u2b50\u00bd |\n| **SERP Masters** | 114 ChatGPT + 1,100 AI Overview citations | \u2b50\u2b50\u2b50\u2b50 |\n| **AIFun** | 47 ChatGPT citations / 90 days | \u2b50\u2b50\u2b50\u00bd |\n| **ShowUpWithAI** | Cross-engine citation case study | \u2b50\u2b50\u2b50\u00bd |\n\nOne important distinction: **\u201cChatGPT mentioned the client\u201d \u2260 \u201cChatGPT cited the client's website.\u201d** A good agency should report those separately, along with the exact prompt set, engines, date range, URL cited, and baseline. The Rank Masters' reporting is unusually good on this point. [The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)\n\nAlso, **citation acquisition is increasingly an off-site authority problem**, not simply an on-page SEO problem. CitationLab, for example, reports from its analysis of 893,470 AI citations that **87.4% went to third-party sources such as reviews, directories and media rather than the brands themselves**. [CitationLab](https://citationlab.ai/geo-agency?utm_source=chatgpt.com)\n\nIf you're **evaluating agencies to hire for your own clients**, I can also give you a **top 10 GEO/AEO agency shortlist ranked by (1) verifiable client citations, (2) case-study transparency, (3) enterprise capability, (4) pricing, and (5) whether they actually build citations rather than just track them.**"
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If by **\u201cshow clients gaining citations in ChatGPT or AI search\u201d** you mean agencies that can demonstrate **before/after evidence that a client went from being absent to being mentioned/cited/recommended by ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc.**, there are several worth investigating.\n\n### Agencies with publicly documented AI-citation results\n\n- **Position Digital** \u2014 One of the stronger options for conventional agencies with a substantial case-study portfolio. They report a **221% increase in AI citations** for a MarTech client and AI Overviews gains for other clients. [Position Digital](https://www.position.digital/case-studies/geo/?utm_source=chatgpt.com)\n- **Linkio** \u2014 Has an unusually concrete case study: an agency client's local-business customer went from zero visibility to **152 AI mentions and 24 citations** across 684 checks of ChatGPT, Gemini, Perplexity and Google AI. [Linkio](https://www.linkio.com/case-studies/geo-coverage-map?utm_source=chatgpt.com)\n- **InsightAudit** \u2014 Reports a B2B SaaS client increasing ChatGPT/Perplexity citations by **312% in 90 days**, with baseline and post-campaign citation rates documented. [InsightAudit](https://www.insightaudits.com/case-studies/saas-ai-visibility-growth?utm_source=chatgpt.com)\n- **Backlinkly** \u2014 Reports a SaaS client going from **22 to 86 AI citations (+291%)**, alongside increases in organic and AI referral traffic. [Backlinkly.io](https://backlinkly.io/geo-case-study-saas-ai-citations/?utm_source=chatgpt.com)\n- **SERP Masters** \u2014 Claims a client generated **1,100+ Google AI Overview citations and 114 ChatGPT citations**, and explains the technical/content methodology behind the result. [SERP Masters](https://serpmasters.com/geo-ai-optimization/?utm_source=chatgpt.com)\n- **Over The Top SEO** \u2014 Publishes a case study where a B2B SaaS/fintech client reportedly went from effectively zero AI visibility to an **87% AI citation rate** for its target categories. [Over The Top SEO](https://www.overthetopseo.com/geo-case-study-client-cited-ai-search-results/?utm_source=chatgpt.com)\n- **Fade Digital** \u2014 Publishes client-specific AI visibility results and says it only reports numbers it can substantiate; its case-study portfolio includes clients initially receiving zero citations across ChatGPT, Claude, Perplexity and Google AI. [Fade Digital](https://fadedigital.ca/results/?utm_source=chatgpt.com)\n- **The Rank Collective** \u2014 Has a particularly interesting legal-sector case study reporting **47% share of AI citations** across a three-state market after a six-month GEO program. [The Rank Collective](https://ai.therankcollective.com/case-studies/meridian-legal-partners?utm_source=chatgpt.com)\n- **ShowUpWithAI** \u2014 Reports a DTC pet brand becoming cited across **ChatGPT, Perplexity, Gemini and Google**, reaching as much as one in four AI answers in its category. [ShowUpWithAI](https://showupwithai.com/blog/geo-case-study-dtc-pet-brand/?utm_source=chatgpt.com)\n- **Naturaily** \u2014 Has a strong self-case study: it reports becoming the **#1-cited agency in its category** across a 17-prompt buyer set, with substantial AI citations across Bing/Copilot and Google AI surfaces. [Naturaily](https://naturaily.com/portfolio/naturaily-geo?utm_source=chatgpt.com)\n- **SEO Yodha** \u2014 Specifically markets GEO around getting brands cited in ChatGPT, Perplexity and Google AI, and publishes AI-cited-page and visibility results. [SEO Yodha](https://seoyodha.com/generative-engine-optimization/?utm_source=chatgpt.com)\n- **Enleaf** \u2014 Offers GEO as a formal service and says it has **20+ published case studies**, specifically focused on getting brands named by ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude. [Enleaf](https://enleaf.com/services/generative-engine-optimization/?utm_source=chatgpt.com)\n\n### The ones I'd put at the top of the shortlist\n\nIf your goal is **not merely \u201can agency that says it does GEO,\u201d but an agency that can actually show a client a measurable citation lift**, I'd start with:\n\n1. **Linkio** \u2014 strongest *before/after operational evidence* I've found.\n2. **Position Digital** \u2014 strong agency pedigree + multiple client case studies.\n3. **InsightAudit** \u2014 particularly compelling for B2B/SaaS.\n4. **SERP Masters** \u2014 unusually specific ChatGPT/AI Overview numbers.\n5. **The Rank Collective** \u2014 interesting if you're dealing with local/regional businesses.\n6. **Naturaily** \u2014 compelling proof that their own agency benefited from the methodology.\n\nOne important caveat: **\u201cAI visibility,\u201d \u201cmentions,\u201d \u201crecommendations,\u201d and \u201ccitations\u201d aren't interchangeable metrics.** Some agencies count a brand being mentioned; others count a URL actually being cited; others calculate citation share across a predefined prompt set. So I would ask every agency for the **exact prompts, baseline, dates, platforms, URLs cited, and methodology** before treating a percentage increase as comparable.\n\nIf you're evaluating agencies because **you want to offer this service yourself**, I can also give you a **shortlist of 10 agencies with the exact client proof they show, pricing/model where available, and what their reporting dashboard looks like**."
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If your criterion is **\u201cCan this agency show a client going from low/no AI visibility to measurable citations or mentions in ChatGPT/AI search?\u201d**, there are several agencies that publish unusually concrete evidence.\n\n### Agencies I\u2019d shortlist\n\n| Agency | Evidence they publish | My take |\n|---|---|---|\n| **Search Agency** | Client case studies showing citation share, AI mentions, AI audience growth, and before/after data. One hospitality client went from unranked to most-cited in a quarter; another went from **12% \u2192 38% AI citation rate**. [Search Agency](https://search.agency/work?utm_source=chatgpt.com) | **Strongest overall evidence** |\n| **Linkio** | Extremely granular before/after case study: **684 AI checks**, 152 brand mentions, and 24 citations for one client across four AI tools. They show the actual coverage-map methodology. [Linkio](https://www.linkio.com/case-studies/geo-coverage-map?utm_source=chatgpt.com) | **Excellent if you want transparent measurement** |\n| **Acceleration Partners** | Enterprise case study: AI share of voice increased **22% \u2192 45%**, while LLM citations grew **59.4% MoM** at peak. [Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com) | **Best enterprise/large-brand option** |\n| **Polaris** | Six Degrees case: **0% \u2192 20% AI Share of Voice** in seven days and a #1 AI Overview citation for a target query, with conversion improvements attached. [POLARIS](https://www.polarisagency.com/us/generative-engine-optimisation/chatgpt-geo-services/?utm_source=chatgpt.com) | **Strong B2B/technical SEO candidate** |\n| **DerivateX** | B2B SaaS-focused. Publishes a REsimpli case claiming it went from absent to the **#1 ChatGPT CRM recommendation** in 90 days, and says it connects citations to inbound sessions and pipeline. [DerivateX](https://derivatex.agency/geo-agency/chatgpt-seo/?utm_source=chatgpt.com) | **Interesting for SaaS** |\n| **Backlinkly** | SaaS case showing **22 \u2192 86 AI citations (+291%)**, plus +526% AI referral traffic. [Backlinkly.io](https://backlinkly.io/geo-case-study-saas-ai-citations/?utm_source=chatgpt.com) | **Good if you want citation + traffic metrics** |\n| **ShowUpWithAI** | DTC case where a previously invisible pet brand became cited across ChatGPT, Perplexity, Gemini and Google, appearing in as many as 1 in 4 answers in its category. [ShowUpWithAI](https://showupwithai.com/blog/geo-case-study-dtc-pet-brand/?utm_source=chatgpt.com) | **Good DTC/ecommerce fit** |\n| **Incrementors** | Case study tracking 22 buyer prompts across four AI engines, with entity/citation work and before/after visibility measurement. [Incrementors](https://www.incrementors.com/case-studies/digital-marketing-agency-geo/?utm_source=chatgpt.com) | **Worth investigating, but evidence is less compelling than the top few** |\n\n### The three I'd investigate first\n\n**1. Search Agency** \u2014 probably the best match if you specifically want an agency that can sit down with a client and say *\u201cHere was your citation share, here is where it is now, and here are the competitors.\u201d* Their published case-study data includes weekly citation-share tracking and AI mentions rather than simply screenshots of ChatGPT answers. [Search Agency](https://search.agency/work?utm_source=chatgpt.com)\n\n**2. Linkio** \u2014 particularly interesting because their case study gets down to the individual-query level: before/after AI checks, mentions, citations, and even which citation appeared after the work was done. [Linkio](https://www.linkio.com/case-studies/geo-coverage-map?utm_source=chatgpt.com)\n\n**3. Acceleration Partners** \u2014 if you're talking about recognizable enterprise clients and a more traditional agency/marketing-services environment. Their published numbers include both AI share of voice and LLM citation growth. [Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com)\n\n### One important distinction\n\nI'd separate **\u201cwe can make you appear in ChatGPT\u201d** from **\u201cwe can prove that our work increased your citation footprint.\u201d**\n\nA surprising number of GEO agencies have impressive-looking ChatGPT screenshots but don't publish:\n\n- the exact query set,\n- baseline citation rate,\n- post-optimization citation rate,\n- competitor comparison,\n- number of AI engines tested,\n- dates of measurements,\n- or AI-attributed traffic/revenue.\n\nFor example, **Citant.ai** publishes a particularly interesting case where it says AI assistants became the largest attributed source of paid conversions for AI-Toolbox.co during the engagement, while also acknowledging that citation counts fell on two tracked platforms. That kind of reporting is much more credible to me than a page showing only a few favorable ChatGPT screenshots. [Citant.ai](https://citant.ai/case-study/?utm_source=chatgpt.com)\n\nThere are also agencies such as **AIFun**, which publish very specific ChatGPT-citation claims\u2014for example, a case reporting **47 unique ChatGPT citations in 90 days**\u2014but I'd put those claims through a little more due diligence before treating them as equivalent to independently verifiable client results. [aifunn.com](https://aifunn.com/blog/geo-case-study-lovable-site-chatgpt-citations?utm_source=chatgpt.com)\n\n**If you're asking because you're evaluating agencies for your own company**, I can also make you a **ranked list of 10\u201315 GEO/AI-search agencies with their actual published client results, pricing/model, industries served, and how credible I think each case study is**."
    },
    {
      "day": "2026-10-08",
      "question": "Which agencies can show clients gaining citations in ChatGPT or AI search?",
      "answer": "Yes. If by \u201cshow clients gaining citations\u201d you mean **an agency can demonstrate that client URLs are increasingly being cited/linked in ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, etc.**, there are several agencies now publishing concrete evidence.\n\n### Agencies I\u2019d put on the shortlist\n\n| Agency | What they publicly claim they can show | Evidence quality |\n|---|---|---|\n| **Search Agency** | Client AI-search audience grew **7.4M \u2192 34.6M**, AI mentions **+97%**, across ChatGPT, Gemini, Google AI Mode and Perplexity. | **High** |\n| **POLARIS** | Six Degrees went from **0% \u2192 20% AI Share of Voice** for core products and earned the #1 Google AI Overview citation for a key query. | **High** |\n| **ES Digital** | B2B SaaS client achieved **5\u00d7 Google AI Overview citations** and **2\u00d7 ChatGPT mentions** in six months. | **High** |\n| **Acceleration Partners** | Financial-services client doubled AI share of voice **22% \u2192 45%** and grew citations **59.4% MoM** at peak. | **High** |\n| **Previsible** | Squaremouth reportedly generated **270% more ChatGPT-driven revenue** in six months; they position citation growth as part of the work. | **High**, although revenue is the headline metric |\n| **DerivateX** | REsimpli went from absent to the **#1 ChatGPT recommendation** for its ICP in 90 days; they explicitly map citations to sessions, demos and pipeline. | **High** |\n| **The Rank Masters** | Publishes a detailed methodology separating **brand mentions from actual URL citations**; reports 6,831 owned citations across ChatGPT, Perplexity and Gemini over 90 days. | **High** |\n| **AIFun Agency** | Published a case study showing a local business going from zero to **47 unique ChatGPT citations in 90 days**. | Medium\u2014newer/smaller agency |\n| **Backlinkly** | Reports a SaaS client going from **22 \u2192 86 AI citations (+291%)**, with AI referral traffic +526%. | Medium |\n| **AppLabx GEO** | Reports citation-rate increases of **34%, 62%, and 91%** across different client case studies. | Medium |\n\nThe strongest examples for **actual citation reporting**, rather than simply saying \u201cwe do GEO,\u201d are Search Agency, ES Digital, POLARIS, Acceleration Partners and The Rank Masters. [Search Agency](https://searchagency.squarespace.com/work?utm_source=chatgpt.com)\n\n### One important distinction\n\nI'd be careful when agencies say **\u201cAI mentions\u201d** or **\u201cAI visibility.\u201d** Those aren't necessarily citations.\n\nThere are at least three separate metrics:\n\n1. **Mention** \u2014 ChatGPT names the company.\n2. **Citation** \u2014 ChatGPT/Perplexity/etc. actually links to the client's URL as a source.\n3. **AI-attributed business outcome** \u2014 the citation/mention generates a visit, lead, demo or revenue.\n\nThe Rank Masters is unusually explicit about separating these metrics, which is a good sign when evaluating an agency. [The Rank Masters](https://www.therankmasters.com/insights/case-studies/trm-ai-citations-aeo-geo-case-study?utm_source=chatgpt.com)\n\nFor example, ES Digital reports both **5.4\u00d7 growth in pages cited by Google AI Overviews** and **2\u00d7 ChatGPT mentions**, which is considerably more useful than a vague \u201cAI visibility increased\u201d claim. [ESA Digital](https://www.esadigitalagency.com/case-studies-library/b2b-saas-case-study?utm_source=chatgpt.com)\n\n### If you're looking for an agency to hire\n\nI'd prioritize agencies that will give you a **before/after prompt set**, rather than simply screenshots of a few favorable ChatGPT answers.\n\nAsk them:\n\n- \u201cHow many buyer prompts do you track for us?\u201d\n- \u201cWill you show the exact URLs ChatGPT/Perplexity cited?\u201d\n- \u201cDo you distinguish **mentions from citations**?\u201d\n- \u201cCan you show citation share versus competitors?\u201d\n- \u201cCan you reproduce the measurement independently?\u201d\n- \u201cWill you report AI referral traffic and conversions as well?\u201d\n- \u201cCan you show an anonymized client dashboard or historical data?\u201d\n\nThat last point matters because **AI answers are dynamic**. A screenshot saying \u201cChatGPT recommended Client X\u201d isn't particularly compelling evidence of sustained improvement.\n\nIf your goal is specifically to find **agencies that can walk into a client meeting and show a convincing before \u2192 after citation dashboard**, I can narrow this to the **5\u201310 strongest agencies and compare their pricing, clients, methodology, tracking tools, and quality of evidence**."
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If you mean **who has a demonstrated ability to increase how often a brand gets recommended/cited inside AI-generated answers** (ChatGPT, Perplexity, Gemini, AI Overviews), the field is still young. There are not many independently verified \u201cgurus\u201d; most evidence comes from agencies, practitioners, and companies publishing their own case studies. A few names/groups with reported track records:\n\n- Profound \u2014 One of the better-known platforms for measuring \u201cshare of model,\u201d citations, and recommendations across AI engines. A published case study involving Asana reported improvements including citation rate rising from 4% to 10% and unbranded enterprise recommendation share from 11% to 18% while using Profound measurement. [Ryan Tronier](https://ryantronier.com/resources/asana-enterprise-aeo-case-study/?utm_source=chatgpt.com)\n\n- The SEO Works \u2014 Published a GEO/AEO case study claiming a 2,000% increase in AI referral traffic by optimizing content for AI assistant prompts and citations. [The SEO Works](https://www.seoworks.co.uk/case-studies/llm-ai-visibility/?utm_source=chatgpt.com)\n\n- InsightAudit \u2014 Published a case study showing a SaaS brand increasing ChatGPT and Perplexity citations by 312% through entity-focused content, structured data, and topical clustering. [InsightAudit](https://www.insightaudits.com/case-studies/saas-ai-visibility-growth?utm_source=chatgpt.com)\n\n- AEO Labs \u2014 Publishes AEO case studies with measurement methods around citation share and recommendation visibility. Their examples include claims such as OpenSea citation share growth from 5% to 27% in a measured engagement. [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com)\n\n- Trust Insights \u2014 Built its own GEO program and reported AI citations and AI referral growth across several generative platforms. [Trust Insights Consulting](https://www.trustinsights.ai/expertise/case-studies/case-study-ai-search-visibility/?utm_source=chatgpt.com)\n\nA few caveats:\n- \u201cRecommendation share\u201d is not a standardized metric yet. Some people measure **citations**, some measure **mentions**, some measure **AI referral traffic**, and others measure **share of answers across a fixed prompt set**. [Ryan Tronier](https://ryantronier.com/resources/asana-enterprise-aeo-case-study/?utm_source=chatgpt.com)\n- Many published wins are self-reported case studies rather than audited experiments, so the strongest vendors are those that can show: baseline prompts, tracked queries, before/after visibility, methodology, and business outcomes.\n- The most transferable expertise currently seems to be in **Generative Engine Optimization (GEO)** / **Answer Engine Optimization (AEO)**: improving entity clarity, authoritative references, structured content, comparison pages, expert signals, and the likelihood that AI systems retrieve a brand as a trustworthy answer source. [InsightAudit](https://www.insightaudits.com/case-studies/saas-ai-visibility-growth?utm_source=chatgpt.com)\n\nIf you\u2019re looking to hire someone, I\u2019d evaluate candidates by asking for:\n1. A prompt set they track (not just screenshots).\n2. Baseline vs. current recommendation/citation rates.\n3. Which AI engines they measured.\n4. Whether gains came from content changes, PR/entity work, technical fixes, or paid placements.\n5. Revenue impact from AI-sourced leads.\n\nThat will separate practitioners with measurable results from people simply selling \u201cAI SEO\u201d services."
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If you're looking for someone who can **measurably increase how often a brand is recommended in AI-generated answers**\u2014across ChatGPT, Perplexity, Google AI Overviews, and Gemini\u2014you want a specialist in **Generative Engine Optimization (GEO)** or **Answer Engine Optimization (AEO)**.\n\nThe important distinction is between agencies that optimize content for AI discovery and providers that can demonstrate an actual increase in *recommendation share*: how often your brand appears in relevant AI answers compared with competitors.\n\nA credible provider should be able to show:\n- **Before-and-after results:** the percentage of relevant prompts that recommend your brand before and after optimization.\n- **Competitive share of voice:** whether your brand gains ground against named competitors.\n- **Citable case studies:** real clients, measurement periods, and the methodology used.\n- **Business impact:** qualified traffic, leads, or sales attributable to improved AI visibility\u2014not just more mentions.\n\n## Providers worth shortlisting\n\nI found several providers publishing measurable results. These are the strongest leads from the public evidence I reviewed, not an independently audited ranking.\n\n<box gap={4}>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Search Agency digital marketing agency logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"md\">1. <Entity category=\"organization\" value=\"Search Agency\" disambig=\"Digital marketing and generative engine optimization agency\"/></title>\n      <badge color=\"success\">Strong named-client case study</badge>\n      Published a May 2026 case study for hospitality brand DiscoverASR, reporting a **97.2% increase in AI mentions** and a 450% increase in its estimated AI search audience over four months. It covers ChatGPT, Gemini, Google AI and Perplexity. These are agency-reported metrics, and audience growth isn't the same as recommendation share. \n\n      <text color=\"secondary\" size=\"sm\">Best for: A provider with a named client and cross-platform results.</text>\n      [Read the case study](https://search.agency/blog/ai-search-case-study)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Quattr AI search visibility SEO platform logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"md\">2. <Entity category=\"company\" value=\"Quattr\" disambig=\"Enterprise SEO and AI search visibility platform\"/></title>\n      Publishes enterprise case studies with reported improvements in AI citation share, including a **3\u00d7 increase in AI citation share** in one case study. It also tracks AI search visibility across several major answer engines. Citation share is a useful proxy, though it doesn't necessarily establish that the brand was recommended favorably. \n\n      <text color=\"secondary\" size=\"sm\">Best for: Enterprise teams wanting SEO and AI visibility optimization together.</text>\n      [Review the case studies](https://www.quattr.com/case-studies)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Concurate B2B content marketing agency logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"md\">3. <Entity category=\"organization\" value=\"Concurate\" disambig=\"B2B fintech content marketing agency\"/></title>\n      Reports nearly **100% growth in AI-driven referrals** and a 315% increase in Google AI Overview appearances for a B2B financing client. Those are meaningful discovery metrics, although the public case study doesn't establish a comparable lift in recommendation share. \n\n      <text color=\"secondary\" size=\"sm\">Best for: B2B and fintech brands focused on AI discovery and referral traffic.</text>\n      [Read the case study](https://concurate.com/generative-engine-optimization-case-study/)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"NeuralGen AI visibility SEO agency logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"md\">4. <Entity category=\"company\" value=\"NeuralGen\" disambig=\"AI search optimization agency\"/></title>\n      Its published pilot studies explicitly measure AI **share of voice, position and sentiment** against a dated baseline, across ChatGPT, Perplexity, Claude and Google AI. Client identities are anonymized, and the number of published pilots is limited, so I'd request references and underlying data before treating its results as proven at scale. \n\n      <text color=\"secondary\" size=\"sm\">Best for: A measurement-led approach centered on competitive AI visibility.</text>\n      [Review the case studies](https://www.neuralgen.io/work/)\n    </box>\n  </row>\n</box>\n\n## How I'd decide who really has a proven track record\n\nAsk each provider to demonstrate this specific outcome:\n\n\\[\n\\text{Recommendation share} =\n\\frac{\\text{Relevant prompts recommending your brand}}\n{\\text{All relevant prompts tested}}\\times100\n\\]\n\nFor example, if your brand is recommended in 20 out of 100 relevant AI responses initially, and 40 out of 100 after optimization, recommendation share has increased from 20% to 40%\u2014a 20-percentage-point gain.\n\nInsist on a fixed prompt set, named competitors, platform-by-platform results, dated answer captures and a clear distinction between being mentioned, being cited and being recommended.\n\n## One question to narrow this down\n\n**What kind of brand are you trying to get recommended by AI?**\n\n{@body const [market,setMarket] = DIL.useState(\"B2B SaaS / technology\")}\n{@body const [scope,setScope] = DIL.useState(\"Agency that implements the strategy\")}\n{@body const [priority,setPriority] = DIL.useState(\"Proven recommendation-share lift\")}\n<box border radius=\"xl\" padding={4} gap={4}>\n  <text weight=\"medium\">1. Your market</text>\n  <radio-group value={market} onChange={setMarket} direction=\"col\">\n    <radio value=\"B2B SaaS / technology\">B2B SaaS / technology</radio>\n    <radio value=\"Consumer products / ecommerce\">Consumer products / ecommerce</radio>\n    <radio value=\"Professional services\">Professional services</radio>\n    <radio value=\"Local business\">Local business</radio>\n    <radio value=\"Enterprise / multi-category brand\">Enterprise / multi-category brand</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">2. What type of provider do you want?</text>\n  <radio-group value={scope} onChange={setScope} direction=\"col\">\n    <radio value=\"Agency that implements the strategy\">An agency that implements the strategy</radio>\n    <radio value=\"Consultant or specialist\">An independent consultant or specialist</radio>\n    <radio value=\"Software platform for measuring and improving AI visibility\">A software platform for measurement and optimization</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">3. Your main criterion</text>\n  <radio-group value={priority} onChange={setPriority} direction=\"col\">\n    <radio value=\"Proven recommendation-share lift\">Proven increase in recommendation share</radio>\n    <radio value=\"Named clients and independently verifiable results\">Named clients and independently verifiable results</radio>\n    <radio value=\"Revenue and leads from AI recommendations\">Revenue and leads from AI recommendations</radio>\n  </radio-group>\n  <button block onClick={() => GenUI.issueNewTurn(\"Find and compare the strongest providers for improving brand recommendations in AI answers. Market: \"+market+\". Provider type: \"+scope+\". Priority: \"+priority+\". Focus on documented case studies, measurable before-and-after results, and evidence quality.\")}>Find the best-fit providers</button>\n</box>"
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If your goal is to increase the share of AI-generated answers that recommend your brand over competitors, I'd look for a **Generative Engine Optimization (GEO) or AI search visibility agency that can prove it increased brand recommendation share on a fixed set of buyer-intent prompts** \u2014 not just organic traffic, website citations, or total AI mentions.\n\nSeveral firms publish relevant case studies, but their evidence varies in quality. Here are the strongest starting points I found.\n\n## Agencies with relevant published results\n\n<box gap={4}>\n  <row align=start gap={3}>\n    <AsyncImage query=\"BrandViz AI brand logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">1. <Entity value=\"BrandViz.AI\" category=\"company\"/></title>\n      <badge color=\"success\">Strong product-level evidence</badge>\n      **Best for:** Brands trying to break into AI-generated product and vendor recommendations.\n\n      - Deckard Technologies reportedly grew to **45.9% of category mentions** and 50.4% of category citations in US AI search in eight weeks.\n      - Its ChatGPT recommendations increased from 2 to 22.\n      - Other published cases span financial technology, health technology, and consumer apps. <Cite refs={[\"turn841752view0\"]}/>\n\n      <text color=\"secondary\" size=\"sm\">Evidence caveat: results are published by the provider, rather than independently audited.</text>\n      <text><Link url=\"https://www.brandviz.ai/case-studies\" title=\"View case studies\"/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Insight Media Labs company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">2. <Entity value=\"Insight Media Labs\" category=\"company\"/></title>\n      **Best for:** B2B services and professional-services firms competing for AI-generated vendor shortlists.\n\n      - A management consulting client went from appearing in 4 of 22 buyer prompts to 14 of 22 over 90 days.\n      - Reported AI-answer share of voice increased from **8% to 34%**.\n      - Work included more citable service-page content, structured FAQs, and third-party editorial placements. <Cite refs={[\"turn841752view1\"]}/>\n\n      This is one of the clearest examples of improvement against a defined competitor set and buyer-intent prompt list.\n\n      <text><Link url=\"https://insightmedialabs.com/case-studies/ai-visibility/\" title=\"View case study\"/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Search Agency generative engine optimization company logo search.agency\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">3. <Entity value=\"Search Agency\" category=\"company\" disambig=\"AI search optimization and digital marketing agency\"/></title>\n      **Best for:** Multi-location, travel, and hospitality brands.\n\n      - Its DiscoverASR case reports a **97.2% increase in AI mentions** and 450% growth in estimated AI-search audience.\n      - The engagement optimized 162 property pages and added prompt-led content and third-party media coverage.\n      - The work spanned ChatGPT, Gemini, Google AI results, and Perplexity. <Cite refs={[\"turn841752view2\"]}/>\n\n      Important distinction: audience growth and mention growth are not the same as recommendation share growth.\n\n      <text><Link url=\"https://search.agency/blog/ai-search-case-study\" title=\"View case study\"/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Quattr AI search optimization company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">4. <Entity value=\"Quattr\" category=\"company\"/></title>\n      **Best for:** Enterprise teams that need AI visibility measurement and ongoing optimization.\n\n      - Publishes enterprise case studies tracking AI citations, citation share, and visibility.\n      - Reports a 3\u00d7 increase in AI citation share for one case, alongside 113% organic click growth.\n      - Combines AI visibility measurement with content optimization, technical SEO, and internal linking. <Cite refs={[\"turn841752view3\"]}/>\n\n      Worth evaluating if you need a repeatable measurement and execution program, although citation share does not necessarily equal recommendation share.\n\n      <text><Link url=\"https://www.quattr.com/case-studies\" title=\"View case studies\"/></text>\n    </box>\n  </row>\n</box>\n\n## Who would I choose?\n\nBased on the published evidence above, my shortlist would be:\n\n- **For measurable B2B recommendation share:** Insight Media Labs.\n- **For product-category recommendations and early-stage brand visibility:** BrandViz.AI.\n- **For large, multi-location brands:** Search Agency.\n- **For enterprise measurement and optimization infrastructure:** Quattr.\n\nThese are evidence-based starting points, not an independently verified ranking of agency effectiveness. Public case studies are generally self-reported, and no single published result establishes that a provider consistently outperforms others.\n\n## How to tell whether their track record is real\n\nBefore hiring anyone, ask for these five things:\n\n1. **Before-and-after recommendation share:** What percentage of relevant prompts recommended the client before and after the engagement?\n2. **A fixed prompt set:** Were the same buyer questions tested before and after, across the same AI platforms?\n3. **Competitor-level results:** Did the client gain share at competitors' expense, or did mentions simply rise across the entire category?\n4. **Independent verification:** Can you review anonymized answer logs, timestamps, citations, and the measurement methodology?\n5. **Business outcomes:** Did qualified leads, sales, or revenue from AI-assisted discovery improve?\n\nOne especially important distinction: getting cited as a source is not the same as being recommended as the best provider. If your objective is to win recommendations such as \u201cWhich company should I hire?\u201d or \u201cWhat product should I buy?\u201d, measure the brand's inclusion rate, position in the answer, and share of recommendations against named competitors.\n\n## Let me narrow this to the best fit\n\nWhat kind of brand are you trying to get recommended by AI?\n\n{@body const [industry,setIndustry] = DIL.useState(\"B2B / SaaS\")}\n{@body const [goal,setGoal] = DIL.useState(\"Recommendation share vs. competitors\")}\n{@body const [scope,setScope] = DIL.useState(\"Agency to execute the work\")}\n<box border radius=\"xl\" padding={4} gap={4}>\n  <text weight=\"medium\">1. Industry</text>\n  <radio-group value={industry} onChange={setIndustry} direction=\"col\">\n    <radio value=\"B2B / SaaS\">B2B / SaaS</radio>\n    <radio value=\"E-commerce / consumer products\">E-commerce / consumer products</radio>\n    <radio value=\"Professional services\">Professional services</radio>\n    <radio value=\"Healthcare / financial services\">Healthcare / financial services</radio>\n    <radio value=\"Travel / hospitality / local business\">Travel, hospitality, or local business</radio>\n    <radio value=\"Other\">Other</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">2. What do you mean by recommendation share?</text>\n  <radio-group value={goal} onChange={setGoal} direction=\"col\">\n    <radio value=\"Recommendation share vs. competitors\">AI recommends us more often than competitors</radio>\n    <radio value=\"Citation share\">AI cites our website more often</radio>\n    <radio value=\"AI-driven leads and revenue\">More leads and revenue from AI search</radio>\n    <radio value=\"All three\">All three</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">3. What kind of partner?</text>\n  <radio-group value={scope} onChange={setScope} direction=\"col\">\n    <radio value=\"Agency to execute the work\">Agency to execute the work</radio>\n    <radio value=\"Software to measure and track results\">Software to measure and track results</radio>\n    <radio value=\"Consultant or specialist\">Consultant or specialist</radio>\n  </radio-group>\n  <button block onClick={() => GenUI.issueNewTurn(\"Recommend the strongest providers for improving recommendation share in AI answers. Industry: \"+industry+\". Goal: \"+goal+\". Partner type: \"+scope+\". Prioritize demonstrated before-and-after results, competitor-level share-of-voice metrics, and independently verifiable evidence.\")}>Find the best-fit providers</button>\n</box>"
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If you want to increase **recommendation share in AI-generated answers** \u2014 the percentage of relevant ChatGPT, Gemini, Perplexity, Claude, or Google AI responses that mention and recommend your brand \u2014 I would prioritize specialists who publish measurable before-and-after results, not agencies that simply promise \u201cAI visibility.\u201d\n\nThe service category is usually called **Generative Engine Optimization (GEO)**, **Answer Engine Optimization (AEO)**, or AI search optimization.\n\n## Shortlist: providers with published results\n\nThese are promising candidates based on publicly available case studies. The figures below are provider-reported, not independently verified rankings of agency performance.\n\n<box gap={4}>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Search Agency AI search optimization company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">1. <Entity category=\"organization\" value=\"Search Agency\" disambig=\"AI search and generative engine optimization agency\"/></title>\n      <badge color=\"success\">Strongest direct share-of-voice evidence</badge>\n      <text color=\"secondary\" size=\"sm\">Best for: consumer brands, hospitality and multi-location businesses</text>\n      Its DiscoverASR hospitality case study reports a rise in AI search audience from 7.4 million to 34.6 million, with AI mentions increasing 97.2% across major AI platforms. The program optimized 162 property pages and added AI-focused content and third-party authority. <Cite refs={[\"turn571691view0\"]}/>\n\n      <text color=\"secondary\" size=\"sm\">Evidence: self-published case study; audience reach and mentions are not the same as recommendation share.</text>\n      [Read the case study](https://search.agency/blog/ai-search-case-study)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Quattr AI SEO platform company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">2. <Entity category=\"company\" value=\"Quattr\" disambig=\"Enterprise SEO and AI search visibility platform\"/></title>\n      <text color=\"secondary\" size=\"sm\">Best for: enterprise teams wanting measurable AI citation growth</text>\n      Quattr reports a 3\u00d7 increase in AI citation share for CloudEagle and a 79% increase in Google AI Overview citations for Kiteworks. It combines visibility measurement with page optimization and internal linking. <Cite refs={[\"turn571691view1\"]}/>\n\n      **Why consider it:** Particularly relevant if you need to connect AI visibility improvements to a repeatable SEO workflow.\n\n      [Explore case studies](https://www.quattr.com/case-studies)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"G10X agentic engine optimization company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">3. <Entity category=\"company\" value=\"G10X\" disambig=\"AI search optimization and digital growth consultancy\"/></title>\n      <text color=\"secondary\" size=\"sm\">Best for: retail and brands selling through product recommendations</text>\n      G10X publishes an AEO case study for a global activewear retailer, focused on brand visibility in AI-generated search answers and recommendations. This is worth evaluating if your goal is to influence consideration, not just earn citations. <Cite refs={[\"turn571691view2\"]}/>\n\n      **Caveat:** Request the actual before-and-after recommendation-share figures before hiring.\n\n      [Read the case study](https://www.g10x.com/case-study/improving-brand-visibility-in-ai-generated-answers-with-agentic-engine-optimization)\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"OrangeMantra digital transformation company logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">4. <Entity category=\"company\" value=\"OrangeMantra\" disambig=\"Digital transformation and SEO services company\"/></title>\n      <text color=\"secondary\" size=\"sm\">Best for: B2B technology and multi-platform AI visibility</text>\n      OrangeMantra reports increasing a B2B brand's AI visibility from below 15% to approximately 55\u201360% over six months, tracking more than 500 prompts across ChatGPT, Perplexity, Gemini and Claude. <Cite refs={[\"turn571691view3\"]}/>\n\n      **Caveat:** Confirm how visibility was defined and whether the gain reflects actual recommendations, citations or mentions.\n\n      [Read the case study](https://www.orangemantra.com/case-studies/how-we-improved-ai-visibility-by-60-for-a-b2b-brand-through-seo-aeo-geo-optimization/)\n    </box>\n  </row>\n</box>\n\n## Who would I choose?\n\nMy initial shortlist would be:\n\n- **Search Agency** if you want an agency with a substantial, cross-platform AI search growth case study.\n- **Quattr** if you want an enterprise-focused program with measurable citation-share improvements and tooling.\n- **G10X** if product recommendations and brand consideration are the primary business outcomes.\n\nOne important qualification: none of these published case studies alone establishes that a provider is the industry's independently verified leader. I would want to see actual prompt-level results and client references before calling anyone proven.\n\n## How to tell whether they can really improve recommendation share\n\nAsk each provider to report these metrics before and after the engagement:\n\n- **Recommendation share:** Percentage of relevant buyer-intent prompts where your brand is recommended.\n- **Competitive share of voice:** Your brand's share of all brand recommendations in those answers.\n- **Recommendation quality:** How often your brand is a top choice versus merely mentioned.\n- **Platform coverage:** Separate results for ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews.\n- **Business impact:** Qualified leads, conversions and revenue attributable to AI referrals.\n\nInsist on a fixed prompt set, a documented baseline, repeated measurements and a comparison against competitors. Citation counts and AI referral traffic are useful, but neither proves that your brand is being recommended more often.\n\n## One question to narrow this down\n\n**What kind of brand are you trying to get recommended by AI?**\n\n{@body const [industry,setIndustry] = DIL.useState(\"B2B SaaS / technology\")}\n{@body const [goal,setGoal] = DIL.useState(\"Increase recommendation share\")}\n{@body const [provider,setProvider] = DIL.useState(\"Done-for-you agency\")}\n<box border radius=\"xl\" padding={4} gap={4}>\n  <text weight=\"medium\">1. Your industry</text>\n  <radio-group value={industry} onChange={setIndustry} direction=\"col\">\n    <radio value=\"B2B SaaS / technology\">B2B SaaS / technology</radio>\n    <radio value=\"Consumer brand / ecommerce\">Consumer brand / ecommerce</radio>\n    <radio value=\"Professional services / agency\">Professional services / agency</radio>\n    <radio value=\"Healthcare / financial services\">Healthcare / financial services</radio>\n    <radio value=\"Travel / hospitality\">Travel / hospitality</radio>\n    <radio value=\"Other\">Other</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">2. Your primary goal</text>\n  <radio-group value={goal} onChange={setGoal} direction=\"col\">\n    <radio value=\"Increase recommendation share\">Get recommended more often than competitors</radio>\n    <radio value=\"Increase citations and brand mentions\">Increase citations and brand mentions</radio>\n    <radio value=\"Generate qualified leads and revenue\">Generate qualified leads and revenue from AI</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">3. What kind of provider?</text>\n  <radio-group value={provider} onChange={setProvider} direction=\"col\">\n    <radio value=\"Done-for-you agency\">Done-for-you agency</radio>\n    <radio value=\"Software platform\">Software platform</radio>\n    <radio value=\"Consultant or in-house specialist\">Consultant or in-house specialist</radio>\n  </radio-group>\n  <button block onClick={() => GenUI.issueNewTurn(\"Recommend the strongest evidence-backed providers for improving AI answer recommendation share. Industry: \"+industry+\". Primary goal: \"+goal+\". Provider type: \"+provider+\". Prioritize independently verifiable case studies, competitor comparisons, and measurable results.\")}>Find the best-fit providers</button>\n</box>"
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If your goal is to get your brand **recommended more often in ChatGPT, Perplexity, Gemini, and Google AI answers**, I\u2019d look at specialists in **Answer Engine Optimization (AEO)** and **Generative Engine Optimization (GEO)**.\n\nThe strongest candidates are those that can demonstrate a measurable increase in recommendation share, brand mentions, and citations for real clients\u2014not just provide AI visibility dashboards.\n\n## Providers with documented results\n\n<box gap={4}>\n  <row align=start gap={3}>\n    <AsyncImage query=\"AthenaHQ AI search optimization platform logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">1. <Entity category=\"company\" value=\"AthenaHQ\" disambig=\"AI search and generative engine optimization platform\"/></title>\n      <badge color=\"success\">Strong share-of-voice evidence</badge>\n      AthenaHQ publishes case studies with specific improvements in AI recommendations and brand visibility.\n\n      - **Gr\u00fcns:** 6\u00d7 share-of-voice growth in 60 days, from 2.0% to 12.6%.\n      - **Verito:** Reached 36% share of voice on ChatGPT and reported competing with much larger rivals.\n      - **Popl:** Reported a 38.85% month-over-month increase in leads from AI search.\n\n      <text color=\"secondary\" size=\"sm\">Source: <Link url=\"https://athenahq.ai/case-studies\" title=\"AthenaHQ customer case studies\"/>. These are vendor-published results.</text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Scrunch AI search optimization platform logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">2. <Entity category=\"company\" value=\"Scrunch\" disambig=\"AI search visibility and answer engine optimization platform\"/></title>\n      Scrunch is worth evaluating if you want to understand and improve how AI systems discover, cite, and represent your brand.\n\n      - **Akamai:** 5\u00d7 brand presence in AI search, according to its published case study.\n      - **Stratabeat:** More than 260% AI visibility gains for agency clients in under two months.\n      - **Strapi:** 226% growth in AI search citations.\n\n      <text color=\"secondary\" size=\"sm\">Source: <Link url=\"https://ai-cdn.scrunchai.com/case-studies\" title=\"Scrunch customer results\"/>. Visibility and citation gains are related to, but not identical to, recommendation share.</text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Goodie AI generative engine optimization platform logo\" aspectRatio=\"1:1\" maxWidth=\"88px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">3. <Entity category=\"company\" value=\"Goodie\" disambig=\"AI search optimization and brand visibility platform\"/></title>\n      Goodie is another candidate with public customer results, including consumer brands and financial services.\n\n      - **SteelSeries:** Reported a 3.2\u00d7 increase in AI search conversions over six months.\n      - **Rathbones:** Reported a 106% increase in total AI citations.\n      - **Dermalogica:** Published a case study reporting an 85% increase in AI searches.\n\n      <text color=\"secondary\" size=\"sm\">Source: <Link url=\"https://higoodie.com/case-studies/\" title=\"Goodie case studies\"/>. These measure different outcomes, not all recommendation share.</text>\n    </box>\n  </row>\n</box>\n\n## If you want an agency to do the work\n\nThe three above are primarily platforms. If you want a partner to implement the strategy, I would also shortlist:\n\n- **<Entity category=\"company\" value=\"Stratabeat\" disambig=\"B2B marketing and SEO agency\"/>** \u2014 particularly relevant for B2B companies; its Scrunch-documented client work reports more than 260% AI visibility gains in under two months. <Link url=\"https://scrunch.com/case-studies/2026-01-stratabeat-ai-visibility-gains-for-clients/\" title=\"Case study\"/>\n- **<Entity category=\"company\" value=\"NoGood\" disambig=\"Growth marketing agency\"/>** \u2014 worth evaluating for an integrated growth program that connects AI search optimization with acquisition and leads. Its AEO offering is covered in this <Link url=\"https://www.pepper.inc/blog/answer-engine-optimization-agencies-for-b2b/\" title=\"2026 agency comparison\"/>.\n\n## How I would choose\n\nOne important caveat: most published success figures come from providers themselves or their partners. There is no universally accepted, independently verified leaderboard proving which firm increases recommendation share the most.\n\nBefore hiring anyone, ask for these four things:\n\n1. **Before-and-after recommendation share:** The percentage of relevant, non-branded buyer prompts in which your company is recommended, compared with named competitors.\n2. **A repeatable measurement method:** Results across ChatGPT, Perplexity, Gemini and Google AI answers, with prompt sets and sampling frequency disclosed.\n3. **Evidence of causality:** What the provider actually changed, how long it took, and whether gains persisted.\n4. **Business outcomes:** Qualified visits, leads, conversions or revenue attributable to AI search\u2014not just more mentions.\n\n**My initial shortlist would be AthenaHQ for explicit share-of-voice evidence, Scrunch for citation and visibility improvement, and Stratabeat if you want a B2B agency to execute the work.**\n\nOne question that would help me narrow this to the best fit: **What type of company or industry are you trying to get recommended in AI answers?** The strongest provider for a SaaS company may be very different from one for a consumer brand, professional-services firm or local business."
    },
    {
      "day": "2026-10-09",
      "question": "Who has a proven track record improving recommendation share in AI answers?",
      "answer": "If you mean **who can demonstrably increase the share of AI-generated answers that recommend your brand over competitors**, look for a specialist in Generative Engine Optimization (GEO) or AI search visibility\u2014not just a traditional SEO agency.\n\nThe strongest evidence is a before-and-after study showing how often a brand is recommended, its share of voice, and its citation rate across ChatGPT, Perplexity, Gemini, and Google AI answers. Several providers publish results in these areas, but the quality of their proof varies.\n\n## Providers worth shortlisting\n\n<box gap={4}>\n  <row align=start gap={3}>\n    <AsyncImage query=\"BrandViz AI logo\" aspectRatio=\"1:1\" maxWidth=\"84px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">1. <Entity category=\"company\" value=\"BrandViz.AI\" disambig=\"AI search visibility analytics and optimization\"/></title>\n      <badge color=\"success\">Strong evidence of recommendation growth</badge>\n      Published case studies report:\n      - Deckard Technologies: ChatGPT recommendations grew **11\u00d7**, from 2 to 22, in eight weeks.\n      - LOIS Leasing: AI visibility increased from 3.3% to 33.1% in four months.\n      - OpenPharmacy: went from zero AI citations to the most-cited eScript source in Australia in 30 days.\n\n      **Best for:** B2B, fintech, healthtech, and emerging products. The results are provider-reported, so request the underlying query sets and raw answers.\n\n      <text><icon name=\"external-link\" size=\"xs\" inline/> [View case studies](https://www.brandviz.ai/case-studies) \u00b7 [Website](https://www.brandviz.ai/)</text>\n      <text color=\"secondary\" size=\"xs\">Source: published BrandViz.AI case studies. <Cite refs={[\"turn856072view0\"]}/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"GEO Close generative engine optimization logo\" aspectRatio=\"1:1\" maxWidth=\"84px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">2. <Entity category=\"company\" value=\"GEO Close\" disambig=\"Generative engine optimization agency\"/></title>\n      <badge>Clear recommendation-share metrics</badge>\n      Its published case studies use a fixed set of buyer questions and retain the raw AI answers:\n      - Tangled Monk: recommendation count doubled from 8 to 16 in one month; share of voice rose from 7.9% to 18.8%.\n      - S. Nihar Exports: reached 21.4% share of voice on Gemini from zero.\n      - THS IMPEX: grew share of voice from 4.1% to 14.3% in six weeks.\n\n      **Best for:** Businesses wanting a transparent, before-and-after methodology and explicit recommendation-share measurement.\n\n      <text><icon name=\"external-link\" size=\"xs\" inline/> [View measured case studies](https://geoclose.com/case-studies)</text>\n      <text color=\"secondary\" size=\"xs\">Source: GEO Close's published results, updated September 2026. <Cite refs={[\"turn856072view1\"]}/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Quattr AI search visibility platform logo\" aspectRatio=\"1:1\" maxWidth=\"84px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">3. <Entity category=\"company\" value=\"Quattr\" disambig=\"Enterprise SEO and AI visibility optimization platform\"/></title>\n      Its enterprise case studies report a **3\u00d7 increase in AI citation share** for CloudEagle, alongside 113% organic-click growth over 12 weeks. Quattr also reports a 79% expansion in Google AI Overview citations for Kiteworks.\n\n      **Best for:** Enterprise teams that want AI visibility improvements integrated with technical SEO, content optimization, and established organic search programs.\n\n      <text><icon name=\"external-link\" size=\"xs\" inline/> [View enterprise case studies](https://www.quattr.com/case-studies) \u00b7 [Website](https://www.quattr.com/)</text>\n      <text color=\"secondary\" size=\"xs\">Source: Quattr's published customer results. <Cite refs={[\"turn856072view2\"]}/></text>\n    </box>\n  </row>\n  <divider color=\"subtle\"/>\n  <row align=start gap={3}>\n    <AsyncImage query=\"Search Agency digital marketing agency logo\" aspectRatio=\"1:1\" maxWidth=\"84px\"/>\n    <box flex=\"1\" gap={1}>\n      <title size=\"lg\">4. <Entity category=\"company\" value=\"Search Agency\" disambig=\"Digital marketing and generative engine optimization agency\"/></title>\n      Its DiscoverASR hospitality case study reports a **450% increase in AI search audience** and a 97.2% increase in AI mentions over the reported period.\n\n      **Best for:** Hospitality and travel brands seeking broader AI discovery across ChatGPT, Gemini, Google AI Mode, and Perplexity.\n\n      Note that audience reach and mentions are useful visibility metrics, but they are not the same as recommendation share.\n\n      <text><icon name=\"external-link\" size=\"xs\" inline/> [Read the DiscoverASR case study](https://search.agency/blog/ai-search-case-study)</text>\n      <text color=\"secondary\" size=\"xs\">Source: Search Agency's published case study. <Cite refs={[\"turn321566search1\"]}/></text>\n    </box>\n  </row>\n</box>\n\n## Who would I choose?\n\nBased on the publicly available evidence above, I'd start with **BrandViz.AI or GEO Close** if your primary KPI is getting recommended more often than competitors, rather than simply getting more AI citations. Quattr is worth considering for a larger organization with substantial existing SEO operations.\n\nThis is a shortlist based on published evidence, not an independent audit of client results. No agency can guarantee that AI systems will recommend a brand.\n\n## How to verify a real track record\n\nBefore hiring anyone, ask for:\n\n- **Baseline and lift:** Recommendation share before and after the engagement, using the same prompts.\n- **Independent reproducibility:** Raw answers, timestamps, and the number of prompts tested.\n- **Competitive share:** Your brand's percentage of relevant answers versus named competitors.\n- **Cross-platform results:** Separate results for ChatGPT, Gemini, Perplexity, Claude, and Google AI answers.\n- **Business outcomes:** Qualified leads, sales, or conversions attributable to AI discovery\u2014not just mentions.\n\nOne important distinction: appearing in an answer, receiving a citation, and being the first brand recommended are three different outcomes.\n\n## Let me narrow this to the right provider\n\nWhat type of business are you trying to get recommended by AI?\n\n{@body const [industry,setIndustry] = DIL.useState(\"B2B SaaS / technology\")}\n{@body const [goal,setGoal] = DIL.useState(\"Increase recommendation share\")}\n{@body const [engagement,setEngagement] = DIL.useState(\"Done-for-you agency\")}\n<box border radius=\"xl\" padding={4} gap={4}>\n  <text weight=\"medium\">1. Industry</text>\n  <radio-group value={industry} onChange={setIndustry} direction=\"col\">\n    <radio value=\"B2B SaaS / technology\">B2B SaaS / technology</radio>\n    <radio value=\"E-commerce / consumer brand\">E-commerce / consumer brand</radio>\n    <radio value=\"Professional services\">Professional services</radio>\n    <radio value=\"Healthcare / finance\">Healthcare / finance</radio>\n    <radio value=\"Hospitality / travel\">Hospitality / travel</radio>\n    <radio value=\"Other\">Other</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">2. Primary objective</text>\n  <radio-group value={goal} onChange={setGoal} direction=\"col\">\n    <radio value=\"Increase recommendation share\">Increase recommendation share</radio>\n    <radio value=\"Get cited more often in AI answers\">Get cited more often in AI answers</radio>\n    <radio value=\"Generate qualified leads and revenue from AI search\">Generate qualified leads and revenue from AI search</radio>\n  </radio-group>\n  <divider color=\"subtle\"/>\n  <text weight=\"medium\">3. Preferred solution</text>\n  <radio-group value={engagement} onChange={setEngagement} direction=\"col\">\n    <radio value=\"Done-for-you agency\">Done-for-you agency</radio>\n    <radio value=\"Consultant or specialist\">Consultant or specialist</radio>\n    <radio value=\"Software to manage it in-house\">Software to manage it in-house</radio>\n  </radio-group>\n  <button block onClick={() => GenUI.issueNewTurn(\"Recommend providers with verifiable track records for improving AI answer recommendation share. Industry: \"+industry+\". Goal: \"+goal+\". Preferred solution: \"+engagement+\". Compare evidence, methodology, suitability, and limitations.\")}>Find the best-fit providers</button>\n</box>"
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "If by GEO you mean Generative Engine Optimization \u2014 helping brands appear in answers and recommendations from ChatGPT, Perplexity, Gemini, and Google AI Overviews \u2014 several agencies publish measurable client success stories.\n\nThe important distinction is that a published case study is not automatically an independently verified result. I would prioritize agencies that identify clients, explain their measurement methods, and report outcomes you can connect to analytics, AI citations, qualified leads, or revenue.\n\nGEO agencies worth shortlisting\n\n1. Intero Digital\n\nStrong named-client evidence\n\nIntero publishes GEO case studies with quantified outcomes and a named client testimonial from Freshpet's Senior Director of Digital Marketing. Its reported results include a 5,665% increase in AI search visibility for a kitchen-equipment brand and 1,200+ Google AI Overview appearances for an industrial company. The latter cases are not fully named, so request the underlying reports.\n\nBest for: Established brands needing integrated SEO, digital PR, and AI visibility.\n\nGEO services and case studies\n\n2. Elixirr Digital\n\nNamed client outcomes\n\nIts GEO service page reports a 907.7% year-over-year increase in AI traffic and a 557.8% increase in AI conversions for MS Trust, plus a 6,980% increase in LLM purchases for UBTC. These are unusually relevant business metrics, although the figures are agency-published and should be corroborated with client-side analytics.\n\nBest for: Organizations prioritizing AI referral traffic and conversions.\n\nGEO services and case studies\n\n3. Acceleration Partners\n\nIts financial-services GEO case study describes a partnership with CNET Group and reports that the client's AI share of voice rose from 22% to 45%, with citations growing 59.4% month over month at peak. The case has specific metrics and a named implementation partner, although the financial-services client isn't identified.\n\nBest for: Brands that can use affiliate partnerships and publisher content to improve AI discovery.\n\nAI search case study\n\n4. RAGSEO\n\nRAGSEO publishes detailed SEO/GEO client results for B2B manufacturers. Its case-study methodology says it uses Google Search Console and Google Analytics for SEO metrics and dated screenshots of ChatGPT search results for GEO observations. Clients are anonymized, but the measurement approach is more explicit than a simple testimonial.\n\nBest for: B2B manufacturing and industrial companies that value transparent measurement.\n\nCase results and methodology\n\n5. Geology\n\nGeology publishes case studies covering insurance, e-commerce, SaaS, enterprise technology, and local businesses. Reported outcomes include a fivefold increase in ChatGPT-sourced leads for an insurance broker and a threefold increase in AI-platform revenue for an e-commerce brand. These are useful examples, but the published summaries anonymize the clients.\n\nBest for: Businesses looking for GEO combined with broader organic growth.\n\nGEO and SEO case studies\n\nHow I would rank the evidence\n\nAgency\n\nPublic evidence\n\nMain limitation\n\nIntero Digital\n\nNamed Freshpet testimonial; quantified case studies\n\nMost numerical case studies anonymize clients\n\nElixirr Digital\n\nAI traffic and conversion metrics\n\nClient-side corroboration not established\n\nAcceleration Partners\n\nSpecific AI share-of-voice change; named publisher partner\n\nEnd client is unnamed\n\nRAGSEO\n\nExplicit measurement methodology and dated AI-search evidence\n\nClients are anonymized\n\nGeology\n\nMultiple industry-specific business outcomes\n\nClient names and underlying analytics aren't public in the summaries\n\nThese are agencies with published evidence, not independently audited rankings. I haven't established that every reported result has been independently verified.\n\nWhat to request before hiring\n\nAsk each agency for these four things:\n\nA referenceable client: Ideally, someone you can speak to directly, or a named case study the client has also acknowledged.\n\nBefore-and-after AI visibility data: The same set of buyer prompts tracked across ChatGPT, Perplexity, Gemini, and Google AI Overviews.\n\nFirst-party analytics: GA4 or equivalent evidence for AI referral sessions, qualified leads, conversions, and revenue.\n\nA clear attribution method: Evidence that results followed the GEO work, with other marketing activity and seasonality accounted for.\n\nBe wary of impressive percentage lifts without baseline numbers, small sample sizes, or a clear definition of an \u201cAI citation.\u201d\n\nMy recommendation: Start with Intero Digital and Elixirr Digital if measurable commercial outcomes matter most. Add RAGSEO if transparent methodology is your priority. In all three cases, ask for a client reference and raw measurement evidence before treating the published results as verified."
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "If you're evaluating GEO (Generative Engine Optimization) agencies for visibility in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, I'd prioritize agencies that publish named client case studies, before-and-after metrics, and evidence of business impact\u2014not just claims that they can get brands mentioned by AI.\n\nA useful distinction: a published case study is evidence you can inspect, but it isn't automatically independently audited. The strongest agencies make it possible to trace results to a named client, a specific time period, and a measurable outcome.\n\nGEO agencies worth evaluating\n\n1. Position Digital\n\nStrong public evidence\n\nBest for: B2B SaaS, recruitment, and professional services.\n\nNamed client: Decentriq, a B2B data-collaboration company.\n\nReported results: AI citations rose from 14 to 45 in six months in the case study's main results section; organic traffic rose 61.23%.\n\nWhy it stands out: The case study identifies the client, reports baseline and follow-up figures, explains the technical SEO work, and includes a client testimonial.\n\nRead the Decentriq case study\n\n2. Intero Digital\n\nNamed client endorsement\n\nBest for: Larger businesses needing integrated SEO, content, digital PR, and AI-search optimization.\n\nNamed client: Freshpet.\n\nEvidence: Freshpet's Senior Director of Digital Marketing provides a testimonial describing Intero's GEO work, including analytics development and correcting misinformation in AI responses.\n\nWhy it stands out: The testimonial offers direct client attribution and describes actual work, although the quoted section does not quantify Freshpet's resulting growth.\n\nRead Intero Digital's GEO service and client story\n\n3. Elixirr Digital\n\nNamed client case studies\n\nBest for: Organizations that want AI-search visibility tied to traffic and conversions.\n\nNamed clients: MS Trust and UBTC.\n\nReported results for MS Trust: 907.7% year-over-year growth in AI traffic and 557.8% growth in AI conversions.\n\nReported results for UBTC: 6,980% year-over-year growth in purchases attributed to LLMs.\n\nWhy it stands out: It publishes specific client names and commercial metrics. The percentage increases should be checked against the underlying traffic, conversion, and purchase counts before being used to forecast your own results.\n\nRead Elixirr Digital's GEO case studies\n\n4. Acceleration Partners\n\nBest for: Brands that can use affiliate partnerships, publisher placements, and editorial authority to improve AI visibility.\n\nClient: An unnamed US financial-services brand working with CNET Group.\n\nReported results: AI share of voice increased from 22% to 45%; citations grew by 59.4% month over month at peak; branded video views indexed by AI platforms exceeded 660,000.\n\nWhy it stands out: The case study explains the publisher partnerships and content strategy behind the results. However, the client is anonymized, so it is less independently checkable than a named-client case.\n\nRead the AI-search case study\n\nHow I would rank their proof\n\nAgency\n\nNamed client\n\nBefore/after metrics\n\nClient endorsement\n\nPosition Digital\n\nYes\n\nYes\n\nYes\n\nIntero Digital\n\nYes\n\nNot in the cited testimonial\n\nYes\n\nElixirr Digital\n\nYes\n\nYes\n\nNot established by the cited summary\n\nAcceleration Partners\n\nNo\n\nYes\n\nClient anonymized\n\nThis is a ranking of publicly inspectable evidence, not a claim that one agency will necessarily outperform the others. The published results above are agency-reported; I haven't independently audited their analytics or attribution.\n\nWhat to ask before hiring a GEO agency\n\nTo separate genuine success stories from marketing claims, ask each finalist for:\n\nA named reference: A client willing to confirm the engagement and results.\n\nRaw before-and-after evidence: AI citations and brand mentions across a fixed set of prompts, platforms, and dates.\n\nBusiness impact: AI-referred sessions, qualified leads, conversions, or revenue\u2014not just an AI visibility score.\n\nAttribution details: What changed, over what period, and whether traditional SEO, PR, or paid placements contributed.\n\nReproducibility: A repeatable testing method, since AI answers can vary between runs.\n\nMy starting shortlist would be Position Digital and Elixirr Digital for documented, quantified client results, with Intero Digital worth evaluating when a direct client endorsement matters most.\n\nOne question that would help me narrow this down: Are you looking for a GEO agency for a B2B/SaaS company, an ecommerce brand, a local business, or an enterprise? The best-fit agencies and the evidence that matters differ by category."
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "# GEO agencies with verifiable client success stories\n\nIf you're evaluating **Generative Engine Optimization (GEO) agencies** to improve how often your brand appears in ChatGPT, Google AI Overviews, Perplexity, and Gemini, I'd prioritize agencies that publish detailed case studies with measurable before-and-after results.\n\nThe key distinction is that **a published success story is not automatically an independently verified result**. The strongest evidence includes named clients, specific metrics, measurement periods, transparent methodologies, and results that can be checked against client analytics or other independent sources.\n\nBased on publicly available case studies, these are the agencies I'd investigate first.\n\n## 1. GEO agencies worth shortlisting\n\n### 1. Intero Digital \u2014 Strongest all-around candidate\n\n**Best for:** Mid-market and enterprise businesses seeking AI visibility and measurable business outcomes.\n\nIntero Digital offers a dedicated GEO service called Intero GRO\u2122, combining technical SEO, content optimization, digital PR, and AI visibility tracking.\n\nIts published case studies include:\n\n- **TRACOM Group:** Reports a 1,184% increase in generative search visibility, 39+ placements in Google AI Overviews and zero-click results, and a 1,214% increase in engagement events from AI-referred traffic.\n- **Global industrial company:** Reports more than 1,200 Google AI Overview appearances year over year, a 34% increase in first-page rankings, and a 24% increase in organic revenue.\n- **Freshpet:** Publishes a client testimonial from its Senior Director of Digital Marketing describing the agency's GEO work, including correcting inaccurate information in AI-generated responses.\n\nIntero also describes its approach to tracking AI citations, brand mentions, referral traffic, and citation share. That makes its measurement framework particularly relevant if you want to assess performance beyond conventional SEO rankings. \u3010turn1view0\u3011\n\n**My assessment:** One of the strongest starting points for an enterprise shortlist. The named-client testimonial adds credibility, although I would request supporting analytics before treating the reported percentage increases as independently verified.\n\nWebsite: [Intero Digital \u2014 GEO Services and Case Studies](https://www.interodigital.com/services/geo/)\n\n### 2. Elixir Digital \u2014 Strong for measurable AI-referred traffic and conversions\n\n**Best for:** Businesses that want to connect AI search visibility with website activity and conversions.\n\nElixir Digital publishes GEO case studies with specific growth metrics.\n\nTwo examples from its portfolio are:\n\n- **MS Trust:** Reports 907.7% year-over-year growth in AI traffic and 557.8% growth in AI conversions.\n- **UBTC:** Reports a 7,152% increase in LLM sessions year over year and a 6,980% increase in purchases attributed to LLMs.\n\nThese examples are particularly interesting because they go beyond reporting that a company appeared in an AI answer. They attempt to measure the traffic and conversions associated with AI search. \u3010turn0search11\u3011\n\nHowever, very large percentage increases can result from a small starting baseline. The underlying session counts, conversion definitions, attribution methods, and reporting periods should be examined before comparing these results with another agency's performance.\n\n**My assessment:** A promising candidate if your primary objective is to turn AI search into measurable leads, purchases, or other conversions.\n\nWebsite: [Elixir Digital \u2014 GEO Services and Case Studies](https://www.elixirrdigital.com/us/services/geo/)\n\n### 3. The Rank Collective \u2014 Strong for prompt-level citation metrics\n\n**Best for:** Companies that want to measure how often AI systems mention or recommend their brand for commercially relevant queries.\n\nThe Rank Collective publishes three GEO case studies with reported business outcomes:\n\n| Client | Reported result | Measurement period |\n|---|---|---|\n| Join.com, a hiring platform | 4\u00d7 increase in qualified leads; citation rates reportedly rose from 0\u20135% to 76\u201394% across platforms | 43 days |\n| Meridian Legal Partners, an anonymized law firm | 47% share of AI citations and 71 additional signed cases | 6 months |\n| TechFlow CRM, an anonymized software company | $2.1 million in attributed pipeline and a 312% increase in AI citations | 90 days |\n\nThe agency describes its work across ChatGPT, Perplexity, Claude, and Gemini. Its published results distinguish AI citation performance from business outcomes, which is useful when evaluating a GEO campaign. \u3010turn1view2\u3011\n\n**Verification caveat:** Join.com is named, while the other two clients are anonymized. The figures are publicly reported by the agency; that alone does not establish independent verification.\n\n**My assessment:** Worth investigating if you care about both AI visibility and its contribution to your sales pipeline.\n\nWebsite: [The Rank Collective \u2014 GEO Case Studies](https://ai.therankcollective.com/case-studies)\n\n### 4. LumiRank \u2014 Good for smaller businesses and transparent organic-search metrics\n\n**Best for:** Small and midsize businesses, particularly service businesses, that want clearly documented improvements in search performance.\n\nLumiRank publishes four client case studies and highlights the underlying measurement source for its results.\n\nExamples include:\n\n- **Osoba Renos:** A reported 56.1% increase in Google clicks quarter over quarter.\n- **Valve Appliance Repair:** A reported 331% increase in Google clicks over seven weeks.\n\nLumiRank states that its figures come from clients' Google Search Console data and links to its case studies. \u3010turn1view3\u3011\n\nAn important distinction: these figures demonstrate conventional organic-search performance, not necessarily increased visibility in ChatGPT or other generative AI systems.\n\n**My assessment:** A useful option if you want an agency that presents measurable, client-specific search outcomes. Before hiring it specifically for GEO, ask for equivalent before-and-after data on AI citations and recommendations.\n\nWebsite: [LumiRank \u2014 GEO Services and Client Results](https://lumirank.ca/)\n\n### 5. The GEO Agency \u2014 Interesting for AI visibility audits\n\n**Best for:** Businesses that want a structured baseline assessment of how AI systems currently understand and represent their brand.\n\nThe GEO Agency, which publishes case studies under the name Cited, provides initial AI visibility assessments with:\n\n- A GEO score before optimization.\n- An explanation of the audit methodology.\n- Identified problems affecting AI citations.\n- Recommendations for improving visibility.\n\nIts published examples include ClippingStars, Kirgo, and OneShot.ai. However, the case studies I found describe pre-optimization scores and state that results are still in progress. They are therefore more useful as evidence of a measurement process than as proof of completed client success. \u3010turn1view4\u3011\n\n**My assessment:** Worth considering for diagnostic work, but I would not rank it alongside agencies with completed, measurable before-and-after outcomes based on these case studies alone.\n\nWebsite: [The GEO Agency \u2014 Case Studies](https://www.thegeoagency.co/case-studies)\n\n---\n\n## 2. How the agencies compare\n\nHere is my practical comparison based on their publicly available evidence.\n\n| Agency | Named-client evidence | Published GEO metrics | Business outcomes reported | Main caveat |\n|---|---|---|---|---|\n| Intero Digital | Yes, including TRACOM Group and Freshpet | AI visibility, citations, AI Overview placements | AI-referred engagement and organic revenue | Agency-reported results |\n| Elixir Digital | Named examples include MS Trust | AI traffic, LLM sessions, AI conversions | Conversions and purchases | Verify baselines and attribution |\n| The Rank Collective | Join.com is named; other clients are anonymized | Citation rates and citation growth | Qualified leads, signed cases, attributed pipeline | Some client identities and evidence are not public |\n| LumiRank | Yes, including Osoba Renos and Valve Appliance Repair | Primarily Google Search Console metrics | Organic clicks | Published figures do not establish GEO-specific impact |\n| The GEO Agency / Cited | Yes, including OneShot.ai | Baseline GEO scores and audit findings | Completed outcomes not yet established in the reviewed cases | Several results remain in progress |\n\nSources: [Intero Digital](https://www.interodigital.com/services/geo/), [Elixir Digital](https://www.elixirrdigital.com/us/services/geo/), [The Rank Collective](https://ai.therankcollective.com/case-studies), [LumiRank](https://lumirank.ca/), and [The GEO Agency](https://www.thegeoagency.co/case-studies).\n\n**My shortlist would be Intero Digital, Elixir Digital, and The Rank Collective.** They publish the most directly relevant examples among these five of AI visibility improvements linked to measurable business outcomes.\n\nThat is a shortlist for further due diligence, not a finding that their claims have been independently audited.\n\n## 3. How to verify a GEO agency's success stories\n\nBecause GEO is a relatively new discipline, agencies use different definitions of success. Some report conventional SEO improvements, while others measure AI citations, referral traffic, or sales.\n\nBefore hiring an agency, I would check five things.\n\n### A. Can the agency show actual before-and-after AI visibility?\n\nAsk for a case study showing a client's visibility before and after optimization across relevant platforms, such as ChatGPT, Perplexity, and Google AI Overviews.\n\nIdeally, the agency should provide:\n- The exact prompts or queries tested.\n- The number of prompts tracked.\n- The number of AI responses mentioning the brand.\n- The sources cited in those responses.\n- The measurement dates and testing frequency.\n\nA screenshot of one favorable ChatGPT response is weak evidence. A consistent set of measurements across many relevant prompts is considerably more useful.\n\n### B. Are the clients identifiable?\n\nNamed clients make it easier to investigate a claim, although client confidentiality can be legitimate.\n\nLook for:\n- A client testimonial with a named person and job title.\n- A case study published or acknowledged by the client.\n- Independent confirmation of the reported results.\n- An opportunity to speak with a reference client.\n\nAn agency's own case study is useful evidence of what it claims to have accomplished, but it is not independent confirmation.\n\n### C. Does the agency measure commercial outcomes?\n\nAI visibility alone does not guarantee business value.\n\nLook for evidence of:\n- Qualified leads from AI-referred visitors.\n- Conversions attributed to AI search.\n- Revenue associated with AI referrals.\n- Changes in sales-qualified opportunities.\n- Improvements in conversion rates or customer acquisition costs.\n\nThe strongest case studies connect AI visibility to business outcomes without confusing correlation with causation.\n\n### D. Can the agency explain its attribution methodology?\n\nAsk how it distinguishes traffic from ChatGPT, Perplexity, and other AI platforms from ordinary organic traffic.\n\nRequest information about:\n- Analytics configuration and referral classification.\n- Conversion tracking.\n- The baseline and comparison periods.\n- Changes in paid campaigns, SEO, or other marketing activities.\n- Whether the reported lift is absolute or relative.\n\nFor example, a 500% increase in AI traffic sounds impressive, but the commercial significance is different if traffic increased from 10 visits to 60 rather than from 10,000 to 60,000.\n\n### E. Does it report failures as well as successes?\n\nAsk whether the agency will share examples where its optimization work failed to increase AI visibility.\n\nA credible partner should be able to explain which tactics worked, which did not, how long the evaluation took, and what happened when results were disappointing.\n\nNo agency can guarantee that independent AI platforms will recommend a particular brand.\n\n---\n\n## 4. The questions I'd ask before signing a contract\n\nI would send each shortlisted agency these questions:\n\n1. **Can you provide three completed GEO case studies with named clients and before-and-after results?**\n2. What percentage increase did you achieve in brand mentions or citations across ChatGPT, Perplexity, and Google AI Overviews?\n3. Can you share the prompts, sample sizes, testing periods, and methodology behind those figures?\n4. Can you demonstrate increases in qualified leads or revenue attributable to AI search?\n5. Can we speak directly with one or two clients whose results you have published?\n6. What reporting will we receive each month, and which metrics will determine whether the engagement is successful?\n7. How will you separate GEO results from improvements caused by traditional SEO, public relations, or other marketing activities?\n\nIf an agency cannot answer the first four questions clearly, I would be cautious about accepting its headline performance claims.\n\n## My final recommendation\n\nFor a business looking to hire a GEO agency based on documented client success:\n\n- **Start with Intero Digital** for an established agency offering GEO, technical SEO, content, and digital PR.\n- **Evaluate Elixir Digital** if AI-generated traffic and conversions are your primary goals.\n- **Evaluate The Rank Collective** if you want prompt-level AI citation tracking tied to pipeline and lead generation.\n- **Consider LumiRank** if you are a smaller business and want accessible, client-specific search performance reporting, but insist on GEO-specific evidence.\n\nI would request the underlying analytics and at least one client reference before treating any agency's published results as verified.\n\n### One question that would help me narrow this down\n\n**Are you looking for a GEO agency for your own company, or are you researching agencies to benchmark their case studies and results?**\n\nIf you're hiring one, I can narrow the list to agencies that have the strongest evidence for your industry and budget. If you're benchmarking the market, I can focus on the most independently verifiable case studies and distinguish confirmed client evidence from agency-reported claims."
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "Several agencies specializing in Generative Engine Optimization (GEO) publish client case studies with measurable results. The strongest candidates are those that show named clients, before-and-after metrics, specific AI search platforms, and evidence you can independently inspect\u2014not just testimonials or claims that they can get you cited by ChatGPT.\n\nI\u2019d start with the following shortlist, based on publicly available case studies and reported outcomes. One important caveat: a published case study is verifiable as a claim, but the underlying results are not independently audited unless the agency provides supporting evidence or the client confirms them.\n\nGEO agencies worth evaluating\n\n1. Intero Digital\n\nStrong enterprise candidate\n\nBest for: Established brands and businesses seeking integrated SEO, content, digital PR, and AI search optimization.\n\nNamed client: Freshpet, with a testimonial from its Senior Director of Digital Marketing.\n\nPublished metrics: A kitchen-equipment brand reportedly gained 5,665% in AI search visibility and 189% year-over-year growth in AI-driven referrals. TRACOM Group reportedly achieved a 1,214% increase in engagement events from AI-referred traffic.\n\nWhy it stands out: Named client stories, specific outcomes, and a documented approach to AI citation tracking.\n\nSource: Intero Digital's GEO case studies .\n\n2. AEO Labs\n\nSpecific AI citation metrics\n\nBest for: Brands focused on visibility and recommendations within generative AI platforms.\n\nPublished client examples: OpenSea, Try Create, Rec Nation, and Lux Unfiltered.\n\nReported outcomes: OpenSea's citation share rose from 5% to 27% across tracked AI search prompts over seven months. Try Create reportedly scaled organic revenue from $2 million to $25 million.\n\nWhat to verify: Ask for the exact prompt set, the baseline and end dates, and which revenue gains can be attributed specifically to GEO rather than broader marketing.\n\nSource: AEO Labs' GEO service and client results .\n\n3. Enleaf\n\nBest for: Businesses that want GEO integrated with established SEO and content marketing.\n\nPublished portfolio: More than 20 case studies are advertised on its GEO service page.\n\nReported outcomes: Stay Alfred is listed with 412% organic revenue growth, while Kasa Living is listed with a 1,173% keyword-ranking lift.\n\nWhat to verify: These are meaningful business and SEO metrics, but they are not automatically proof of increased ChatGPT or Perplexity citations. Request GEO-specific results and the underlying case studies.\n\nSource: Enleaf's GEO services and results .\n\n4. Optimist\n\nBest for: B2B technology, retail, and fintech brands that care about AI-driven pipeline and revenue.\n\nPublished case studies: B2B tech, retail, and fintech clients.\n\nReported outcomes: 49\u00d7 LLM-attributed revenue for a B2B tech client, 13\u00d7 LLM revenue for a retail client, and 8\u00d7 conversions from LLMs for a fintech client.\n\nWhat to verify: The public overview does not identify these clients by name. Ask for a referenceable client, analytics screenshots, attribution definitions, and absolute starting and ending values.\n\nSource: Optimist's GEO case studies .\n\n5. Elixirr Digital\n\nBest for: Organizations looking for AI search visibility tied to measurable traffic and conversions.\n\nPublished client examples: MS Trust and UBTC.\n\nReported outcomes: MS Trust reportedly achieved 907.7% year-over-year AI traffic growth and 557.8% growth in AI conversions. UBTC reportedly achieved a 6,980% increase in purchases attributed to LLMs year over year.\n\nWhat to verify: Confirm the measurement window, traffic volumes, conversion definitions, and whether the results are specifically tied to GEO interventions.\n\nSource: Elixirr Digital's GEO case studies .\n\nWhich agencies have the most convincing evidence?\n\nMy shortlist depends on what you mean by \u201cverifiable.\u201d\n\nAgency\n\nStrongest evidence currently published\n\nMain caveat\n\nIntero Digital\n\nNamed client testimonial plus detailed AI visibility metrics\n\nMost numerical examples need underlying analytics to be independently confirmed\n\nAEO Labs\n\nSpecific AI citation-share results and named brands\n\nAttribution and prompt methodology need validation\n\nEnleaf\n\nBroad published client portfolio and business outcomes\n\nSome headline results are traditional SEO metrics\n\nOptimist\n\nAI-attributed revenue and conversion growth\n\nSeveral clients are anonymized\n\nElixirr Digital\n\nReported AI traffic and purchase conversion metrics\n\nNeed to confirm measurement methodology and baseline\n\nThese are candidates for due diligence, not an independently audited ranking.\n\nHow to verify a GEO agency's success stories\n\nBefore signing a contract, ask the agency to provide:\n\nNamed, referenceable clients. Ideally, speak with a client who can confirm the engagement and outcomes.\n\nBefore-and-after AI visibility data. Request the same fixed set of prompts tested across ChatGPT, Perplexity, Gemini, and Google AI Overviews.\n\nEvidence of actual citations. Ask for URLs to the cited sources and dated records of AI responses, not just a proprietary visibility score.\n\nBusiness impact. Look for AI referral sessions, qualified leads, conversions, and revenue\u2014not just mentions or impressions.\n\nAttribution methodology. Ask how the agency separates its contribution from paid media, traditional SEO, seasonality, and other marketing work.\n\nOne particularly important distinction: an agency can demonstrate that a brand appears more frequently in AI answers without demonstrating that this visibility generated incremental revenue.\n\nMy recommendation: Start with Intero Digital and AEO Labs if your priority is demonstrable AI visibility and citation growth. Include Enleaf if you also want a broader SEO program, and consider Optimist if you are a B2B company primarily focused on revenue from AI-driven discovery.\n\nAre you evaluating GEO agencies for your own company, or researching the market to identify agencies with the strongest publicly verifiable track records? That distinction would help me narrow the list considerably."
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "If you're evaluating Generative Engine Optimization (GEO) agencies\u2014firms that help brands appear in answers from ChatGPT, Google AI Overviews, Perplexity, and other AI search tools\u2014I would prioritize agencies that publish named client case studies with measurable results, rather than relying on claims about AI visibility or proprietary scores.\n\nThe key distinction is verifiable client success: can you identify the client, understand what the agency actually did, and validate the reported results through public evidence or an independent source?\n\nHow to evaluate GEO agency case studies\n\nNamed clients: The company is identified, not described as an anonymous Fortune 500 brand.\n\nMeasurable outcomes: Reports include changes in AI citations, mentions, referral traffic, qualified leads, or revenue.\n\nA defined baseline: Results specify the starting point, measurement period, and comparison.\n\nEvidence beyond a sales pitch: Client testimonials, independently accessible data, or a case study corroborated by the customer.\n\nClear attribution: The agency explains how it distinguished its impact from changes in SEO, brand awareness, or AI search platforms.\n\nGEO agencies worth shortlisting\n\nThese are the strongest candidates I found based on the specificity of their published case studies. The results are agency-reported, so I distinguish between measurable public evidence and independently confirmed outcomes.\n\n1. Intero Digital\n\nStrong named-client evidence\n\nBest for: Established B2B and enterprise brands.\n\nIntero publishes a named case study for TRACOM Group reporting a 1,184% increase in generative search visibility, 39+ AI Overview and zero-click placements, and a 55% improvement in session quality over a four-month snapshot. It also describes the actual content and technical work performed.\n\nVerification caveat: The client is named, and the metrics are specific, but the published figures aren't independently audited in the material I reviewed.\n\nTRACOM Group case study\n\n2. AY Rank\n\nDetailed measurement methodology\n\nBest for: Startups, e-commerce, and brands seeking measurable AI-driven growth.\n\nIts published case studies name clients including Wearview and Oloom. AY Rank reports Wearview grew from $0 to $36,000 in monthly recurring revenue over eight months, and Oloom achieved a 520% increase in AI visibility. It describes weekly tracking across five AI platforms, third-party citation checks, and revenue attribution using Stripe and HubSpot.\n\nVerification caveat: The measurement process is described in detail, but I haven't independently inspected the underlying dashboards or financial records.\n\nAY Rank case studies\n\n3. GEO Close\n\nTransparent before-and-after data\n\nBest for: Businesses that want to verify actual AI recommendations rather than just traffic growth.\n\nGEO Close publishes named examples for Tangled Monk, S. Nihar Exports, and THS IMPEX. Tangled Monk's direct AI recommendations reportedly rose from 8 to 16, with share of voice increasing from 7.9% to 18.8% between July and August 2026. The agency says it retains raw answers and tracks fixed buyer prompts across AI engines.\n\nVerification caveat: The raw-answer methodology is promising, but the agency is relatively new, and I did not find independent confirmation of the reported lifts.\n\nGEO Close case studies\n\n4. Geology\n\nBest for: Companies that care about pipeline, conversions, and revenue\u2014not just AI mentions.\n\nIts published portfolio includes a California insurance broker that reportedly generated five times as many ChatGPT-sourced leads in three months, and an e-commerce brand reporting 50% revenue growth over three months. It also presents case studies covering SaaS, enterprise, and local businesses.\n\nVerification caveat: The case-study summaries are commercially useful, but most clients are anonymized in the portfolio overview. Request full attribution details before treating the results as verified.\n\nGeology case studies\n\n5. Acceleration Partners\n\nBest for: Brands exploring AI discovery through partnerships, publishers, and affiliate content.\n\nIts published financial-services case study, executed with CNET Group, reports AI share of voice increasing from 22% to 45%, peak monthly citation growth of 59.4%, and more than 660,000 branded video views indexed by AI platforms.\n\nVerification caveat: This is a relevant AI-discovery success story, although the client is unnamed and the work focuses on partnership-led discovery rather than a comprehensive standalone GEO program.\n\nAI search case study\n\nMy recommendation\n\nI would start with Intero Digital, AY Rank, and GEO Close because their public materials provide concrete client examples and specific AI visibility metrics. Their strengths differ:\n\nAgency\n\nStrongest evidence\n\nMain limitation\n\nIntero Digital\n\nNamed enterprise client and detailed results\n\nNo independent audit found\n\nAY Rank\n\nMultiple case studies and stated measurement/attribution process\n\nUnderlying revenue data not independently inspected\n\nGEO Close\n\nBefore-and-after AI answer counts and stated raw-answer retention\n\nNewer agency; limited independent validation\n\nGeology\n\nBusiness outcomes across several industries\n\nMany clients anonymized\n\nAcceleration Partners\n\nSpecific AI-discovery metrics and named publishing partner\n\nNarrower service focus\n\nOne important distinction: a published case study is not the same as independently verified success. I found evidence of transparent reporting, but I could not establish that the reported results from these agencies had been independently audited.\n\nFive questions to ask before hiring\n\nCan you introduce me to two clients who will confirm the results?\n\nCan you show raw, dated AI responses from before and after the engagement, using the same non-branded buyer queries?\n\nCan you provide AI referral traffic and qualified-lead data from analytics or CRM records?\n\nHow do you separate GEO impact from traditional SEO, PR, paid media, and seasonality?\n\nWhat were the total engagement cost, measurement period, and business outcomes\u2014not just the percentage increase in visibility?\n\nI would give the most weight to named-client references, repeatable AI answer measurements, and attributable business results. A dramatic visibility percentage alone isn't enough.\n\nTo narrow the shortlist: Are you looking for a GEO agency for a B2B/SaaS company, an e-commerce brand, or a local or professional-services business? The best evidence to prioritize varies by business model."
    },
    {
      "day": "2026-10-10",
      "question": "Which GEO agencies have verifiable client success stories?",
      "answer": "If you're evaluating Generative Engine Optimization (GEO) agencies\u2014firms that help brands appear in ChatGPT, Perplexity, Gemini, and Google's AI search results\u2014I would prioritize agencies with published case studies that include measurable results, a named client, a defined timeframe, and evidence you can independently check.\n\nOne important distinction: a published success story is not automatically a verified success story. Many agencies publish impressive percentages without naming the client, linking to source analytics, or separating AI-search gains from traditional SEO improvements.\n\nGEO agencies worth investigating\n\n1. Intero Digital\n\nStrong agency evidence\n\nBest for: Enterprise brands and established businesses.\n\nNamed client: Freshpet.\n\nEvidence: Freshpet's Senior Director of Digital Marketing provides a testimonial describing Intero's GEO-first strategy, analytics work, and corrections to inaccurate AI-generated information about the brand.\n\nCaveat: The published testimonial supports the existence of client work, but doesn't provide a quantified GEO lift in the cited passage.\n\nSource: Intero Digital's GEO services and client story .\n\n2. Veza Digital\n\nNamed clients and metrics\n\nBest for: B2B SaaS and technology companies.\n\nNamed clients: Chili Piper, Grata, and TicketSpice.\n\nReported results: 123% growth in ChatGPT referral traffic for one case; other client results include reported growth in conversions and user acquisition.\n\nCaveat: The available case-study summaries combine GEO/AEO with broader SEO and website work, making it difficult to isolate GEO's contribution.\n\nSource: Veza Digital's GEO and AEO agency overview .\n\n3. OptimizeGEO\n\nBest for: Businesses specifically seeking AI-search visibility measurement.\n\nNamed client: Business Intelligence Group (BIG).\n\nReported results: 3\u00d7 AI-search visibility, 151% growth in AI-referred traffic, and 2\u00d7 revenue from the AI program.\n\nCaveat: These figures appear in the provider's own case study. I would request supporting analytics and confirmation from the client before treating them as independently verified.\n\nSource: OptimizeGEO's case studies .\n\n4. Acceleration Partners\n\nBest for: Brands exploring affiliate, publisher, and partnership-driven AI discovery.\n\nPublished case: A financial-services brand working with CNET Group.\n\nReported results: AI share of voice rose from 22% to 45%, with citations increasing 59.4% month over month at peak.\n\nCaveat: The client is unnamed, so the results are measurable but less independently attributable to a specific brand.\n\nSource: Acceleration Partners' AI-search case study .\n\n5. Quattr\n\nBest for: Enterprise teams wanting measurable AI-search performance and reporting.\n\nNamed clients: CloudEagle, Kiteworks, and Men's Wearhouse.\n\nReported results: CloudEagle's case study reports a 3\u00d7 increase in AI citation share and 113% growth in organic clicks within 12 weeks. Men's Wearhouse reports increased Google AI Mode visibility and ChatGPT citations.\n\nCaveat: Quattr is primarily a technology platform rather than a traditional GEO agency, so assess whether you need software, strategic services, or both.\n\nSource: Quattr's customer case studies .\n\nHow to tell whether their success stories are genuinely verifiable\n\nBefore hiring any of these providers, ask for four things:\n\nClient confirmation: A named client willing to confirm the engagement and results, ideally through a reference call.\n\nBefore-and-after evidence: Dated records of brand mentions, citations, and recommendation frequency across the relevant AI platforms.\n\nBusiness impact: GA4 or equivalent analytics showing AI referral traffic, qualified leads, conversions, or revenue\u2014not just a proprietary visibility score.\n\nAttribution and methodology: The exact prompts, engines, measurement period, baseline, and other SEO or PR work performed during the same period.\n\nOne caution: GEO metrics are still evolving. AI responses vary by query, location, account state, and time, so a single screenshot or visibility score is weak evidence on its own.\n\nMy recommendation\n\nStart by evaluating Intero Digital and Veza Digital if you want an agency with identifiable client evidence. Include OptimizeGEO if specialized AI-visibility measurement is central to your requirements, but validate its reported outcomes directly with the client. Consider Quattr if you also need measurement software.\n\nNone of the evidence reviewed here establishes that every reported result has been independently audited.\n\nWhat type of company are you hiring for? I can narrow the list to agencies with the most relevant case studies for your sector."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If you mean AI visibility in ChatGPT, Perplexity, Gemini, Google AI Overviews and other answer engines \u2014 often called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) \u2014 several companies publish case studies with numerical before-and-after results.\n\nThe important distinction is between a company measuring more mentions or citations in AI answers and proving more qualified traffic, leads, or revenue. The latter is more commercially meaningful, and much harder to substantiate.\n\nBest sources to start with\n\n1. Profound\n\nBest enterprise case-study library\n\nPublishes named customer stories involving Plaid, MongoDB, Ramp, and other brands, with metrics spanning AI visibility, citations, referral traffic, and conversions.\n\nExamples include Plaid reporting a 300% increase in answer-engine referral traffic and MongoDB reporting 50% higher AI search visibility. These are vendor-published customer claims, not independent causal studies.\n\nBrowse Profound's customer stories\n\n2. Peec AI\n\nBest for prompt-level visibility results\n\nIts case studies describe changes in brand visibility across LLMs, along with website sessions and business outcomes. In its Momentum case study, the company reports a 10\u00d7 boost in AI search visibility and a 2\u00d7 increase in AI-search session visits.\n\nRead Peec AI case studies\n\n3. Semrush\n\nBest for a more transparent methodology\n\nSemrush has published a first-person account of its own AI visibility work. It reports growing share of voice from 15% to 25% across a 726-prompt set, while explicitly acknowledging that it could not isolate the effect of each tactic and that revenue attribution remains difficult. That caveat makes it particularly useful for evaluating evidence quality.\n\nRead Semrush's methodology and results\n\n4. Quattr\n\nPublishes enterprise case studies that combine AI citation share and AI search visibility with conventional SEO outcomes, including organic clicks and traffic. This is useful if you want to see whether AI visibility improvements coincide with measurable search performance changes.\n\nBrowse Quattr case studies\n\nMore sources worth checking\n\nThese are especially useful if you want transparent measurement rather than just big headline percentages.\n\nVisibility Partners \u2014 measured case studies : Reports a regulated B2B insurance case in which Google AI Overview coverage increased from 32% to 88% over 14 months. It specifies a fixed prompt set and five AI engines, and explicitly states that the results do not demonstrate revenue attribution.\n\nGEO Close \u2014 raw-answer case studies : Publishes fixed-question, before-and-after measurements and retains the underlying AI answers. Its case studies include brand recommendation and share-of-voice changes over weeks.\n\ndestaque.ai \u2014 measured AI-answer results : Publishes baseline and final citation rates, along with prompt counts, engine counts, timeframes, and a stated evidence-review process. Its published examples are from the Portuguese market.\n\nHow to tell whether a case study is credible\n\nWhat to check\n\nStrong evidence looks like\n\nBaseline and endpoint\n\nActual figures before and after the work\n\nMeasurement method\n\nFixed prompts, named AI engines, consistent sampling\n\nTimeframe\n\nClearly stated dates or number of weeks/months\n\nBusiness impact\n\nReferrals, qualified leads, conversions or revenue\u2014not just mentions\n\nVerification\n\nRaw responses, dated exports, analytics data or independent validation\n\nAttribution\n\nAcknowledgment of confounders and other changes made during the period\n\nMy recommendation: Start with Profound for recognizable enterprise brands, Semrush for a candid discussion of measurement limitations, and Visibility Partners or destaque.ai for explicit measurement methodology.\n\nOne caveat: none of these publishers should automatically be treated as independent validation. A case study can report genuine measured improvement without proving that the optimization work alone caused it.\n\nAre you looking for case studies to learn from, to benchmark your own brand, or to vet an AI visibility agency? The best sources differ depending on whether you need evidence of visibility gains or evidence of actual business growth."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If you're looking for credible AI visibility case studies with measured results, I'd prioritize publishers that show before-and-after data for brand mentions, citations, share of voice, AI-referred traffic, or revenue\u2014not just claims that a brand is \u201cwinning in AI search.\u201d\n\nThe field is usually called AI search visibility, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). As of October 2026, there are several useful publishers, but their evidence varies in quality. Most agency case studies are self-reported, so transparency of measurement matters more than the size of the headline percentage.\n\nBest publishers to start with\n\n1. GEO Close\n\nStrong measurement transparency\n\nBest for: raw-answer evidence and repeatable measurement\n\nPublishes fixed buyer-question tests, before-and-after results, and retained raw AI answers. Its 2026 case studies include a handmade-art brand whose AI recommendations doubled from 8 to 16 in one month, with share of voice rising from 7.9% to 18.8%.\n\nRead the case studies\n\n2. Trust Insights\n\nBest for: analytics-backed traffic results\n\nIts self-reported case study documents six months of GA4 referral data, with 1,066 AI-referred sessions, 13 citations across three platforms, and a 51.7% average engagement rate for AI referrals versus 29% site-wide. It also explains its measurement setup and implementation.\n\nRead the case study\n\n3. Quattr\n\nBest for: enterprise brands and commercial outcomes\n\nPublishes customer stories covering AI citation share alongside organic clicks, indexed pages, rankings, and lead-generation metrics. One CloudEagle case study reports a threefold increase in AI citation share and 113% growth in organic clicks over 12 weeks.\n\nBrowse enterprise case studies\n\n4. Search Agency\n\nBest for: competitive share of voice and multi-engine results\n\nPublishes time-bounded case studies with weekly tracking. Its DiscoverASR hospitality case reports 364% growth in AI audience reach, nearly doubling AI mentions, and a 41-point gain in citation share versus three competitors over a 12-week measurement period. These are agency-reported figures, not independently audited results.\n\nBrowse case studies\n\n5. Visibility Partners\n\nBest for: long-term tracking and fixed baselines\n\nIts insurance-sector case study reports Google AI Overview coverage increasing from 32% to 88% over 14 months, with 117 citations earned. It specifies the prompt universe and measurement window, making the methodology easier to assess.\n\nRead the case studies\n\nHow to tell whether a case study is credible\n\nI'd evaluate each publisher against these five criteria before trusting its results.\n\nCriterion\n\nWhat credible evidence looks like\n\nBaseline and timeframe\n\nExact starting value, ending value, and dates\n\nRepeatable testing\n\nSame prompts, engines, geography, and test conditions\n\nActual AI visibility\n\nSaved answers, citations, brand mentions, or a defined share-of-voice metric\n\nBusiness impact\n\nGA4 sessions, qualified leads, conversions, or revenue\u2014not visibility scores alone\n\nCausal attribution\n\nAcknowledges other changes, algorithm shifts, seasonality, and limitations\n\nOne important distinction: more AI citations does not necessarily mean more customers or revenue. The strongest studies connect visibility changes to analytics data, while acknowledging that a before-and-after comparison alone cannot prove the optimization caused the change.\n\nMy recommendation\n\nFor the strongest measurement methodology: start with GEO Close.\n\nFor traffic and engagement analytics: start with Trust Insights.\n\nFor enterprise SEO and commercial outcomes: start with Quattr.\n\nFor agency execution and competitive tracking: compare Search Agency and Visibility Partners.\n\nThese are the strongest starting points from this review, not a ranking of independently audited research. I would treat all agency-published case studies as directional evidence until their raw data or methodology can be independently verified.\n\nAre you looking for case studies to learn from, to benchmark your own brand, or to cite in a report or presentation? The best sources differ depending on whether you need practical campaign results or independent research."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If by AI visibility you mean how often a brand is mentioned, recommended, or cited in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, the best sources are those publishing actual before-and-after measurements\u2014not just claims that their GEO (Generative Engine Optimization) strategy works.\n\nI'd start with a mix of independent research, established SEO platforms, and specialist agencies that disclose their measurement methods.\n\nBest sources to investigate\n\n1. Semrush \u2014 established vendor with quantified results\n\nStrong starting point\n\nIts Enterprise AI Optimization case study reports a 146% increase in AI share of voice in 60 days, from 13% to 32%, following content optimization across its own media and third-party domains.\n\nBest for: AI share of voice, commercial prompts, and enterprise measurement.\n\nRead the Semrush case study \u00b7\n\n2. Trust Insights \u2014 visibility connected to website analytics\n\nReports 1,066 AI referral sessions over six months, 13 AI citations across three platforms, and 51.7% average engagement for AI-referred traffic versus 29% site-wide.\n\nThis is especially useful because it connects AI discovery to measurable website visits and engagement, rather than mentions alone.\n\nBest for: referral traffic, engagement, and analytics-backed outcomes.\n\nRead the AI visibility case study \u00b7\n\n3. Quattr \u2014 enterprise brand case studies\n\nPublishes case studies combining AI citation share, AI Overview presence, and conventional SEO results. Its published examples include a 3\u00d7 increase in AI citation share alongside 113% organic click growth.\n\nBest for: enterprise SEO teams wanting to compare AI visibility with traditional search performance.\n\nBrowse Quattr's case studies \u00b7\n\n4. GEO Close \u2014 transparent before-and-after testing\n\nPublishes results using fixed sets of buyer questions, repeated measurements, and retained raw AI answers. Its examples include one brand doubling direct AI recommendations in a month, with share of voice rising from 7.9% to 18.8%.\n\nBest for: evaluating methodology, repeatability, and whether AI recommendations actually change.\n\nRead the case studies \u00b7\n\n5. The Rank Masters \u2014 detailed AI citation tracking\n\nIts September 2026 self-study reports 6,831 AI citations in 90 days, measured across 64 commercial prompts and multiple AI search platforms using Amadora.\n\nThe study is useful for understanding content formats and citation patterns, though it's a self-published agency case study rather than independent validation.\n\nBest for: detailed GEO execution and citation-level analysis.\n\nRead the full case study \u00b7\n\n6. Citevio \u2014 unusually candid reporting\n\nPublishes a self-study that includes unsuccessful prompts alongside successful ones. Its test tracked 16 questions across multiple AI engines and explicitly notes that a single repeat measurement is not conclusive.\n\nBest for: understanding the limitations of small-sample AI visibility experiments.\n\nRead the study and methodology \u00b7\n\nHow to tell whether a case study is credible\n\nThe biggest issue with AI visibility is that results can vary with the prompt, model, location, personalization, and date of measurement. A large percentage increase is not sufficient evidence on its own.\n\nUse this checklist when evaluating a publisher:\n\nCase study quality checklist\n\n0 of 6\n\nA documented baseline and follow-up measurement\n\nThe exact prompts and AI platforms tested\n\nA defined sample size and measurement period\n\nRaw answers, citations, or reproducible methodology\n\nA clear distinction between mentions, citations, share of voice, and referral traffic\n\nEvidence linking the intervention to the result, with limitations acknowledged\n\nOne important distinction: measured improvement does not automatically mean proven causation. A brand might become more visible because its website improved, because third-party coverage increased, or simply because the AI system changed.\n\nMy recommendation\n\nFor an established vendor with quantified results: start with Semrush.\n\nFor AI visibility tied to actual traffic: start with Trust Insights.\n\nFor transparent, prompt-by-prompt before-and-after evidence: start with GEO Close.\n\nFor enterprise SEO and AI search comparisons: explore Quattr.\n\nI'd treat these as sources of useful evidence, not as independently certified proof. The strongest studies disclose their prompt sets, measurement windows, raw answers, and unsuccessful results\u2014not just their best percentage increase."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If you mean AI visibility in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, the most useful publishers are agencies and analytics companies that disclose before-and-after results, measurement periods, and how they count mentions or citations.\n\nOne important caveat: a published case study with numbers is not automatically independent proof that the agency caused those results. Much of the evidence in this emerging field is self-reported by the company conducting the work.\n\nBest places to start\n\n1. Quattr\n\nStrong enterprise starting point\n\nPublishes case studies for recognizable enterprise brands, with AI citation share, AI Overview presence, organic clicks, and measurement windows. One example reports a 3\u00d7 increase in AI citation share and 113% organic click growth for CloudEagle after optimizing 33 product pages over 12 weeks.\n\nBest for: B2B SaaS and enterprise marketing.\n\nRead Quattr's case studies\n\n2. Search Agency\n\nPublishes numerical results and an accompanying measurement methodology. Its DiscoverASR hospitality case reports 450% AI search audience growth in one quarter, alongside mention and sentiment metrics. It also explains its citation-share and traffic-measurement approach.\n\nBest for: competitive benchmarking and transparent AI-search KPIs.\n\nRead its case studies \u00b7 Read its methodology\n\n3. Trust Insights\n\nA useful first-party example with analytics details rather than just a headline percentage. Over October 2025\u2013March 2026, it reports 1,066 AI-referred sessions, 13 AI citations across three platforms, and higher engagement from AI-referred visitors than its site-wide average. It describes its use of GA4, Search Console, and Ahrefs.\n\nBest for: understanding AI referral traffic and website analytics.\n\nRead the case study\n\n4. Humanswith.AI\n\nPublishes a collection of measured examples across B2B software, retail, automotive, and other categories. One reported example takes Birdview PSA from 0.9% to 21.5% ChatGPT visibility in eight weeks. The publisher says it uses fixed query sets and recurring measurements across multiple AI engines.\n\nBest for: concrete before-and-after examples across different industries.\n\nRead the case-study collection\n\n5. Alston Antony\n\nPublishes unusually detailed individual GEO analyses, including measurement windows, query counts, citations, and organic search comparisons. A 2026 case study reports 241,500 Microsoft Copilot citations over six months for an AI-tools directory and explicitly explains why its citation-to-click ratio should not be treated as a same-period conversion metric.\n\nBest for: detailed measurement and understanding the limitations of AI visibility metrics.\n\nRead the case study\n\nWhat makes a case study credible?\n\nI would evaluate these publishers against six criteria before relying on their claims:\n\nCriterion\n\nWhat to look for\n\nBaseline\n\nActual starting visibility, not just a percentage increase\n\nFixed query set\n\nThe same prompts and intent categories before and after\n\nDefined metric\n\nCitation rate, mention rate, share of voice, or referral sessions\n\nMeasurement period\n\nDates and duration, preferably with repeated observations\n\nVerifiable evidence\n\nRaw answer examples, screenshots, analytics exports, or named clients\n\nAttribution discipline\n\nClear distinction between correlation and demonstrated causation\n\nAlso distinguish visibility from business impact. Being mentioned in an AI answer, being cited as a source, receiving a website visit, and generating a sale are four different outcomes.\n\nMy recommendation\n\nStart with Quattr for enterprise examples, Search Agency for published measurement methodology, and Trust Insights for analytics-backed referral data. Read the methods alongside the headline results rather than treating any vendor's claims as independently verified.\n\nIf you tell me which type of AI visibility you're researching, I can narrow this to the most relevant and evidence-rich sources."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If you're looking for credible AI visibility case studies with measured results \u2014 showing whether brands actually become more visible in ChatGPT, Perplexity, Gemini, Google AI Overviews, and other AI search experiences \u2014 I'd start with publishers that show their baseline, measurement period, methodology, and actual outputs rather than just marketing claims.\n\nThe field is still young. Many of the strongest-looking case studies are published by the agencies or software vendors that performed the work, so independent verification matters.\n\nBest places to start\n\n1. Trust Insights \u2014 best for analytics-backed evidence\n\nStrong measurement detail\n\nPublishes a self-study covering October 2025\u2013March 2026. It reports 1,066 AI-referred sessions, 13 citations across three platforms, and a 51.7% engagement rate versus 29% site-wide. It also documents GA4, Search Console, and Ahrefs data.\n\nRead the AI search visibility case study\n\n2. Quattr \u2014 best for enterprise brands\n\nPublishes case studies involving brands including Kiteworks, CloudEagle, and Men\u2019s Wearhouse. Reported outcomes include a 3\u00d7 increase in AI citation share for CloudEagle and 79% more Google AI Overview citations for Kiteworks. It combines AI visibility with conventional SEO performance metrics.\n\nBrowse Quattr case studies\n\n3. GEO Close \u2014 best for transparent before-and-after testing\n\nPublishes fixed buyer-question tests and retains the raw AI answers. Its Tangled Monk case study reports recommendations doubling from 8 to 16, with share of voice rising from 7.9% to 18.8% over approximately one month.\n\nRead measured GEO case studies\n\n4. Visibility Partners \u2014 best for documented methodology\n\nPublishes a detailed insurance-sector case study reporting Google AI Overview coverage increasing from 32% to 88% over 14 months, based on a fixed prompt set tested monthly across five AI engines. The client is anonymized, and direct revenue attribution is explicitly not claimed.\n\nRead its measured case studies\n\n5. Outrank \u2014 best for larger-scale datasets\n\nReports a study of 2,119 websites using 16 months of Search Console data, including the distribution of traffic gains and losses. Useful for evaluating SEO performance at scale, although its study is broader than pure AI-answer visibility and the vendor has a commercial interest in the findings.\n\nExplore the 2,119-site study\n\nWhat makes an AI visibility case study credible?\n\nI would evaluate each publisher against these six criteria:\n\nA real baseline: How often was the brand mentioned or cited before the work?\n\nA defined question set: Were the same non-branded buyer questions asked before and after optimization?\n\nA clear time window: Are results dated and measured over weeks or months?\n\nRaw evidence: Are actual AI responses, source citations, or screenshots available?\n\nMultiple AI engines: Does the research test ChatGPT, Perplexity, Gemini, and Google AI Overviews separately?\n\nBusiness outcomes: Does the study connect visibility to qualified visits, leads, conversions, or revenue instead of treating mentions as revenue?\n\nOne important distinction: more AI citations do not automatically mean more customers, and before-and-after results alone do not prove that the optimization caused the improvement.\n\nMy recommendation\n\nStart with Trust Insights for analytics and traffic outcomes, Quattr for enterprise examples, and GEO Close for transparent prompt-level measurements. Read their methodologies alongside their headline results.\n\nIf your goal is to benchmark the entire AI visibility industry rather than evaluate vendors, prioritize independent research and multi-brand datasets over agencies\u2019 own success stories. The sources above are useful starting points, but none should automatically be treated as independent validation."
    },
    {
      "day": "2026-10-11",
      "question": "Who publishes credible AI visibility case studies with measured results?",
      "answer": "If you mean AI visibility in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews\u2014often called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO)\u2014there are several publishers worth following for case studies with measured before-and-after results.\n\nThe key distinction is between publishers that report actual changes in AI citations or brand mentions and those that connect those changes to referral traffic, leads, or revenue. The latter are more useful for proving business impact.\n\nBest publishers to start with\n\n1. Quattr\n\nBest enterprise examples\n\nPublishes enterprise customer studies with named brands, AI citation growth, AI Overview presence, organic traffic and conversion-related outcomes. One example reports CloudEagle tripling AI citation share and increasing organic clicks by 113% in 12 weeks.\n\nBest for: B2B and enterprise marketing teams.\n\nBrowse case studies\n\n2. GEO Close\n\nParticularly good for measurement transparency. Its case studies describe a fixed set of buyer questions, repeated measurements and retained raw AI answers. One handmade-art brand's share of voice rose from 7.9% to 18.8% in roughly a month.\n\nBest for: Auditable, before-and-after AI recommendation data.\n\nBrowse measured case studies\n\n3. Trust Insights\n\nPublishes a first-party account of its own AI visibility work, including analytics methodology and referral traffic. It reports 1,066 AI referral sessions over six months, 13 citations across three platforms and 51.7% average engagement from AI referrals.\n\nBest for: GA4, referral traffic and visitor engagement evidence.\n\nRead the case study\n\n4. The Rank Masters\n\nPublishes detailed AEO/GEO case studies, including its own campaign reporting and a PSOhub SaaS engagement. Its self-experiment reports 6,831 AI citations in 90 days, measured across 64 commercial prompts.\n\nBest for: Execution details, prompt-level measurement and B2B SaaS.\n\nRead the AI citations study\n\n5. Anthroly\n\nPublishes a customer benchmark with reported visibility lifts, AI referral traffic and clicks. Importantly, it explicitly labels the figures as directional customer-case-study data rather than a statistically representative industry survey.\n\nBest for: Comparing reported outcomes across several customers.\n\nRead the benchmark report\n\n6. Humanswith.AI\n\nPublishes a collection of case studies with baseline figures, measurement windows and reported changes across multiple AI engines. Examples include a B2B SaaS brand's reported ChatGPT visibility increasing from 0.9% to 21.5% in eight weeks.\n\nBest for: Cross-engine visibility benchmarks and prompt-level outcomes.\n\nBrowse the measured case hub\n\nHow to tell whether a case study is credible\n\nAI visibility is a relatively new measurement category, and even detailed agency case studies are usually self-reported rather than independently audited. I would look for these five things before treating a published result as strong evidence.\n\nEvidence\n\nWhat to look for\n\nBaseline and comparison\n\nActual before-and-after numbers, not just percentage growth\n\nRepeatable methodology\n\nFixed prompts, named AI engines, dates and consistent measurement rules\n\nRaw evidence\n\nSaved answers, citation URLs, dated screenshots or downloadable data\n\nBusiness impact\n\nAI-referred sessions, qualified leads, conversions or revenue\u2014not only mentions\n\nAttribution\n\nA discussion of other changes, such as SEO improvements, seasonality or paid campaigns\n\nOne important caveat: an increase in citations does not automatically prove that GEO caused an increase in revenue. Stronger studies distinguish visibility metrics from traffic and conversions, and acknowledge when other factors could have contributed.\n\nMy recommendation\n\nStart with Quattr for named enterprise customers, GEO Close for transparent before-and-after measurement, and Trust Insights for analytics-backed referral results. Together, they offer three useful perspectives: enterprise outcomes, measurement rigor and actual website behavior.\n\nIf you're researching this to evaluate vendors or build a shortlist of evidence to cite, the most useful next distinction is whether you want independent research and industry benchmarks or agency case studies proving that a particular optimization program worked. The two have very different levels of evidentiary strength."
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Worked for 7s\n\nSearching the web\n\nSearched 18 websites\n\nSeveral agencies now publish measurable Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) results, including AI citations, ChatGPT recommendations, AI-referred traffic, qualified leads, and revenue growth.\n\nMy recommendation is to prioritize agencies that show named clients, a before-and-after baseline, a measurement period, and business outcomes\u2014not just claims that a brand appears in AI answers.\n\nHere are the strongest candidates I found from their published case studies and service pages. Note that agency-published results are useful evidence, but they are not the same as independently audited performance.\n\nAgencies worth shortlisting\n\n1. AEO Labs\n\nStrong named-client metrics\n\nPublishes client-specific results for OpenSea, Try Create, Rec Nation, and Lux Unfiltered. Examples include OpenSea's AI citation share rising from 5% to 27% over seven months, and Try Create's reported organic revenue increasing from $2 million to $25 million.\n\nBest for: brands seeking measurable AI citation share, product recommendations, and ecommerce visibility.\n\nView GEO services and client results\n\n2. Intero Digital\n\nNamed enterprise clients\n\nIts GEO page includes case studies reporting that a kitchen-equipment brand increased AI search visibility by 5,665%, while TRACOM Group achieved a 1,214% increase in engagement from AI-referred traffic. Freshpet also provides a named client testimonial describing its GEO engagement.\n\nBest for: established companies needing GEO integrated with technical SEO, content strategy, and digital PR.\n\nView GEO services and results\n\n3. Chatter Buzz\n\nPublishes client examples including Hallmark Nameplate, with reported gains of 349% in website traffic, 250% in site-generated leads, and 40% year-over-year revenue growth from a combined SEO, AEO, and GEO program. It also highlights Tabush Group's organic traffic and AI recommendation visibility.\n\nBest for: B2B manufacturers, IT services, and companies that need lead generation alongside AI visibility.\n\nView AI search case studies\n\n4. Quattr\n\nPublishes enterprise case studies involving brands such as Kiteworks, Simpplr, and McAfee. Its results include a reported 3\u00d7 increase in AI citation share, a 79% expansion in AI Overview presence in one case, and growth in organic clicks and traffic.\n\nBest for: enterprise SEO teams wanting AI visibility measurement alongside traditional organic-search performance.\n\nView enterprise case studies\n\n5. ProCloser.ai\n\nPublishes GEO/AEO case studies with quantified acquisition outcomes. Its sports-tech SaaS example reports 405% year-over-year growth in LLM referrals, 200% growth in qualified leads from AI, and 30% revenue growth. The public summary does not identify the client by name, so independent verification is more difficult.\n\nBest for: SaaS companies evaluating AI search as an acquisition channel.\n\nView case studies\n\nHow I would evaluate the evidence\n\nAgency\n\nStrongest published evidence\n\nMain caveat\n\nAEO Labs\n\nNamed clients and AI citation-share metrics\n\nVerify revenue attribution and measurement methodology\n\nIntero Digital\n\nNamed client case studies and AI engagement metrics\n\nSome results combine GEO with broader marketing work\n\nChatter Buzz\n\nTraffic, lead, and revenue outcomes\n\nCombined SEO/AEO/GEO makes individual contributions harder to isolate\n\nQuattr\n\nEnterprise AI citation and organic-search metrics\n\nClarify which services are delivered directly versus supported by its platform\n\nProCloser.ai\n\nAI referral, lead, and revenue growth\n\nClient anonymity limits external verification\n\nThese are self-reported results, not a definitive independent ranking.\n\nBefore hiring any of them, I would ask for three things:\n\nA verifiable case study: the client's identity, baseline, dates, target prompts, and AI platforms measured.\n\nBusiness impact: AI-attributed leads, qualified pipeline, conversions, or revenue\u2014not merely more brand mentions.\n\nAttribution and durability: how the agency separates its impact from ordinary SEO, paid media, seasonality, and changes in AI models.\n\nOne especially important distinction: an agency can improve your brand's visibility in ChatGPT without generating meaningful website traffic or sales. The best partner should measure both visibility and business outcomes.\n\nMy starting shortlist: AEO Labs for specialist AEO/GEO work, Intero Digital for enterprise-scale integrated marketing, and Chatter Buzz for B2B lead generation."
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "If you mean **AEO (Answer Engine Optimization)** and **GEO (Generative Engine Optimization) agencies with publicly documented client outcomes** (not just \u201cwe do AI SEO\u201d claims), the list is still fairly small. The strongest public evidence tends to include named clients, before/after visibility metrics, AI citation counts, traffic/leads, or revenue impact. [Stackmatix](https://www.stackmatix.com/blog/aeo-case-studies?utm_source=chatgpt.com)\n\nHere are agencies/consultancies with published case studies or measurable results:\n\n| Agency | Documented results available | Examples of reported outcomes |\n|---|---|---|\n| AEO.co | Public AEO case studies with tracked AI visibility metrics | Reports include Outdoor Vitals moving from 0% AI visibility to 34% visibility with 22/60 monitored results citing the brand; Winona reaching 50% Google AI Mode share of voice in a tracked cohort; BabyRx earning GPT citations within weeks. [AEO.co](https://aeo.co/?utm_source=chatgpt.com) |\n| AEO Labs | Detailed case studies with verification methods | Publishes examples including citation-share changes, AI referral revenue, and visibility measurements tied to tools such as analytics platforms and AI share tracking. [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com) |\n| Latent Analytics | GEO case studies with baseline and post-work measurements | Documents changes in LLM citations across ChatGPT, Gemini, and Perplexity, including methodology and measurement windows. [Latent Analytics](https://latentanalytics.com.au/geo-case-studies/?utm_source=chatgpt.com) |\n| Search Agency | Public AI search/GEO case studies | Reports a hospitality case where AI search audience grew from 7.4M to 34.6M, with AI mentions increasing 97% after a GEO program. [Search Agency](https://searchagency.squarespace.com/work?utm_source=chatgpt.com) |\n| Acceleration Partners | GEO case study with a financial services client | Reports doubling AI share of voice from 22% to 45% and increasing citations by 59.4% month-over-month at peak. [Acceleration Partners](https://www.accelerationpartners.com/case-studies/ai-search-geo-case-study/?utm_source=chatgpt.com) |\n| Seal Global | Integrated SEO/AEO/GEO case study | Reports a luxury ecommerce case with metrics including 68.5% AI share of voice, 412 AI Overview/snippet wins, and revenue lift figures. [Seal Global Holdings](https://www.sealglobalholdings.com/case-studies/ecommerce-seo-aeo-geo-ai-visibility-case-study?utm_source=chatgpt.com) |\n| GenOptima | GEO result case studies | Publishes cases such as Amico LED increasing AI citations from zero to 132 within a reported eight-week cycle. [GenOptima](https://www.gen-optima.com/generative-engine-optimization-geo-result-as-a-service/?utm_source=chatgpt.com) |\n| Enleaf | GEO case-study portfolio | States it has published case studies and reports measurable outcomes from AI visibility and broader SEO programs. [Enleaf](https://enleaf.com/services/generative-engine-optimization/?utm_source=chatgpt.com) |\n| AEO Agency | Multi-industry AEO case-study library | Publishes case studies across ecommerce, education, tourism, B2B, wellness, and other sectors. [AEO Agency](https://aeoagency.org/our-case-studies/?utm_source=chatgpt.com) |\n\n## Agencies I would scrutinize more carefully\n\nA lot of GEO/AEO providers publish **testimonials** but not verifiable case studies. Stronger proof usually includes:\n\n- The client name (or a clearly justified NDA explanation)\n- The exact prompts/query set tracked\n- Which engines were measured (ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.)\n- Baseline vs. after measurements\n- Time period\n- Whether the metric is visibility/citations/leads/revenue (not just a proprietary \u201cAI score\u201d)\n\nThe industry is young, and measurement standards are still developing; several analysts note that many AEO/GEO claims lack transparent methodology. [Stackmatix](https://www.stackmatix.com/blog/aeo-case-studies?utm_source=chatgpt.com)\n\nIf you are evaluating agencies for a contract, I would put **AEO.co, AEO Labs, Latent Analytics, Search Agency, Acceleration Partners, and GenOptima** in the \u201cshow me the evidence\u201d category first because they publish the clearest outcome-style documentation. [Latent Analytics](https://latentanalytics.com.au/geo-case-studies/?utm_source=chatgpt.com)"
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "# AEO and GEO agencies with documented client results\n\nIf you're evaluating agencies for **Answer Engine Optimization (AEO)** and **Generative Engine Optimization (GEO)**, I'd prioritize firms that publish measurable client outcomes rather than simply claiming they can get brands mentioned in ChatGPT, Google AI Overviews, Perplexity, or other AI search tools.\n\nThe key distinction is between three types of evidence:\n\n- **Documented business results:** Increased qualified leads, organic traffic, conversions, or revenue attributed to an optimization campaign.\n- **Documented visibility results:** Measurable increases in brand mentions, citations, recommendations, or share of voice across AI-generated answers.\n- **Documented technical results:** Improvements in rankings, crawlability, structured data, or the frequency with which AI systems retrieve a brand's content.\n\nThe strongest agencies can connect AI visibility improvements to business outcomes. Because AEO and GEO are relatively new disciplines, however, many published case studies measure visibility rather than revenue.\n\n## 1. Agencies worth shortlisting\n\nThese firms publish case studies with numerical outcomes. I've separated the strongest examples of business impact from those primarily demonstrating AI search visibility.\n\n### 1. Optimist \u2014 strongest published evidence for AEO-driven conversions\n\n**Best for:** B2B technology, SaaS, and fintech companies.\n\nOptimist publishes two particularly relevant case studies:\n\n- **Financial software:** 8\u00d7 growth in conversions from referrals originating in ChatGPT, Perplexity, and Claude over eight months.\n- **B2B technology:** 4,900% growth in revenue attributed to LLM referral traffic over 14 months, alongside 2,622% growth in LLM referral traffic.\n\nIts documented approach includes restructuring content around customer problems, improving content architecture, strengthening subject-matter expertise, and developing proprietary research that AI systems can cite. [yesoptimist.com](https://www.yesoptimist.com/case-study-aeo-chatgpt-conversions/?utm_source=chatgpt.com), [yesoptimist.com](https://www.yesoptimist.com/case-study-aeo-chatgpt-referral-revenue/?utm_source=chatgpt.com)\n\n**My assessment:** One of the strongest candidates if you care about qualified demand and revenue rather than simply being mentioned by AI.\n\n**Important caveat:** The case studies are agency-published, and Optimist explicitly acknowledges that AI adoption and other factors make it difficult to attribute results exclusively to its work.\n\n- Website: [Optimist](https://www.yesoptimist.com/)\n- Results: [Fintech AEO case study](https://www.yesoptimist.com/case-study-aeo-chatgpt-conversions/) | [B2B technology AEO case study](https://www.yesoptimist.com/case-study-aeo-chatgpt-referral-revenue/)\n\n### 2. Intero Digital \u2014 strongest candidate for established brands and enterprise GEO\n\n**Best for:** Mid-market and enterprise companies that need GEO integrated with traditional SEO, content marketing, and digital PR.\n\nIntero Digital publishes several numerical results from its GEO engagements, including:\n\n- **Kitchen equipment brand:** 5,665% increase in AI search visibility and 189% year-over-year growth in AI-driven referrals.\n- **Industrial manufacturing company:** More than 1,200 Google AI Overview appearances, a 34% increase in first-page rankings, and a 24% increase in organic revenue.\n- **TRACOM Group:** 1,184% increase in generative search visibility, more than 39 placements in AI Overviews and zero-click results, and a 1,214% increase in engagement events from AI-referred traffic. [interodigital.com](https://www.interodigital.com/services/geo/?utm_source=chatgpt.com)\n\nIntero also identifies Freshpet as a GEO client, with a testimonial describing its work on AI visibility measurement and correcting misinformation in AI-generated responses. [interodigital.com](https://www.interodigital.com/services/geo/?utm_source=chatgpt.com)\n\n**My assessment:** A strong option for businesses that want an established digital marketing agency with GEO capabilities rather than a specialist focused exclusively on AI search.\n\n**Important caveat:** Some of the largest percentages represent growth from small baselines. Ask for absolute traffic, conversion, and revenue figures before comparing them with other agencies.\n\n- Website: [Intero Digital GEO services](https://www.interodigital.com/services/geo/)\n\n### 3. AEO Labs \u2014 strong evidence of AI citation growth\n\n**Best for:** E-commerce, consumer brands, and companies that want to measure how often AI systems recommend or cite them.\n\nAEO Labs publishes client results including:\n\n- **OpenSea:** Citation share increased from 5% to 27% across tracked AI search prompts over seven months.\n- **Try Create:** Reported organic revenue growth from $2 million to $25 million.\n- **Rec Nation:** Approximately fivefold growth over the engagement, with visibility across more than 23 states within the first 60 days.\n- **Lux Unfiltered:** Reported being selected by Gemini as its top recommendation for a specific product-related query. [aeolabs.ai](https://www.aeolabs.ai/services/generative-engine-optimization?utm_source=chatgpt.com)\n\n**My assessment:** Worth investigating if your primary goal is to increase the likelihood that ChatGPT, Gemini, and other AI platforms recommend your brand during product discovery.\n\nThe OpenSea example is particularly relevant because it measures citation share rather than relying exclusively on conventional search rankings.\n\n**Important caveat:** These are agency-reported results. Request the underlying tracking data, the exact prompts measured, and the definitions used for citation share and organic revenue.\n\n- Website: [AEO Labs GEO services and client results](https://www.aeolabs.ai/services/generative-engine-optimization)\n\n### 4. Arc Intermedia \u2014 strong combination of AI traffic and engagement metrics\n\n**Best for:** Established businesses, particularly those investing in organic search and digital PR.\n\nArc Intermedia publishes GEO results for a national retirement-community nonprofit, including:\n\n- A reported 726% increase in AI search traffic.\n- A reported 2,597% increase in ChatGPT traffic.\n\nIt also documents its own AI visibility work, reporting a 1,128% increase in engagement and more than 60 pages receiving AI-driven traffic. [arcintermedia.com](https://www.arcintermedia.com/services/organic-and-earned-visibility/geo/?utm_source=chatgpt.com)\n\n**My assessment:** Worth considering if you want to build on an established SEO program and measure whether AI discovery brings visitors to your website.\n\n**Important caveat:** The published headline percentages don't, by themselves, establish the absolute volume of traffic or the resulting revenue. Ask for the starting figures and conversion data.\n\n- Website: [Arc Intermedia GEO services](https://www.arcintermedia.com/services/organic-and-earned-visibility/geo/)\n\n### 5. AEO.co \u2014 strong focus on measured AI visibility\n\n**Best for:** Brands that need to monitor AI mentions, citation share, and visibility across different search platforms.\n\nAEO.co publishes case studies with platform-specific measurements. One example reports a fivefold lift over its ChatGPT baseline and 50% share of voice in Google AI Mode for a tracked cohort. Other reported measurements include 60% share of voice for a hormone-replacement-therapy query and 100% for a premium menopause query. [aeo.co](https://aeo.co/case-studies/?utm_source=chatgpt.com)\n\n**My assessment:** A promising candidate if the central problem is that competitors appear in AI answers while your brand doesn't.\n\nThe emphasis on platform- and query-specific measurements is useful because an overall AI visibility score can hide substantial differences between platforms and buyer questions.\n\n**Important caveat:** Share of voice for a selected set of prompts is not the same as market share, total audience reach, or revenue. Confirm how the prompt set was selected and whether the measurements represent paying clients or the agency's own experiments.\n\n- Website: [AEO.co case studies](https://aeo.co/case-studies/)\n\n---\n\n### 6. Enleaf \u2014 GEO backed by established SEO and digital PR\n\n**Best for:** Small and midsize businesses that need SEO, content, authority building, and AI visibility working together.\n\nEnleaf reports more than 20 published case studies and has been operating since 2009. Its GEO program focuses on entity authority, structured content, original research, digital PR, and third-party brand mentions. [enleaf.com](https://enleaf.com/services/generative-engine-optimization/)\n\nIts published results include:\n- **Stay Alfred:** 412% growth in organic revenue.\n- **Kasa Living:** 1,173% improvement in keyword rankings.\n- **Fume Dog:** Organic revenue scaled to $503,000 per month.\n\nThese are documented SEO and digital marketing outcomes, not necessarily results caused by GEO specifically. I would ask Enleaf for separate case studies measuring AI citations, AI referral traffic, and conversions from generative search.\n\n- Website: [Enleaf GEO services](https://enleaf.com/services/generative-engine-optimization/)\n\n### 7. AY Rank \u2014 detailed GEO measurement and revenue attribution\n\n**Best for:** E-commerce and B2B companies looking for a specialist that measures both AI visibility and commercial results.\n\nAY Rank publishes four case studies and describes a measurement process combining live AI-platform polling, third-party citation tracking, and revenue attribution through Stripe and HubSpot.\n\nIts reported results include:\n\n- **Wearview:** Growth from $0 to $36,000 in monthly recurring revenue over eight months.\n- **Oloom:** 520% increase in AI visibility over five months.\n- **B2B SaaS company:** 73% increase in AI citations and 40% more demo requests from AI referrals.\n- **E-commerce brand:** 156% increase in AI-referred traffic, a conversion rate 2.3 times higher than organic traffic, and $840,000 in additional revenue attributed to AI search. [ayrank.com](https://www.ayrank.com/case-studies)\n\n**My assessment:** One of the more interesting options if you want a GEO specialist that explicitly describes how it measures and attributes outcomes.\n\nIts stated use of external citation tracking and CRM data is a positive sign. Nevertheless, these are agency-published claims, and the underlying client dashboards would need to be examined independently.\n\n- Website: [AY Rank case studies](https://www.ayrank.com/case-studies)\n\n---\n\n## 2. How I'd rank these agencies\n\nHere's my practical shortlist based on the types of results they publish, not an independent ranking of overall agency quality.\n\n| Agency | Strongest documented evidence | Best fit |\n|---|---|---|\n| **Optimist** | LLM referral conversions and revenue | B2B SaaS, fintech, technology |\n| **Intero Digital** | AI visibility, AI Overview placements, organic revenue | Enterprise and established brands |\n| **AEO Labs** | AI citation share and brand recommendations | E-commerce and consumer brands |\n| **Arc Intermedia** | AI search traffic and engagement | Established businesses |\n| **AEO.co** | Platform-specific AI share of voice | Brands focused on AI visibility |\n| **Enleaf** | Established SEO case studies and a GEO program | Small and midsize businesses |\n| **AY Rank** | AI citations, referrals, conversions, and reported revenue attribution | E-commerce and B2B SaaS |\n\n### My top three, depending on your objective\n\n- **For measurable business outcomes:** Start with [Optimist](https://www.yesoptimist.com/) and [AY Rank](https://www.ayrank.com/case-studies/).\n- **For enterprise-level GEO:** Start with [Intero Digital](https://www.interodigital.com/services/geo/).\n- **For AI citation and recommendation visibility:** Start with [AEO Labs](https://www.aeolabs.ai/services/generative-engine-optimization).\n\nI would treat this as a shortlist for due diligence rather than a definitive ranking. All the results above are published by the agencies themselves; I haven't independently verified their client analytics or financial results.\n\n## 3. How to tell whether an agency's results are credible\n\nAEO and GEO are still evolving, and some agencies publish impressive percentages without enough information to evaluate them.\n\nBefore hiring one, ask for five things.\n\n**1. A named client or independently verifiable case study**\n\nA case study that identifies the client, explains the campaign, and presents results is more useful than an anonymous testimonial. Anonymous case studies can still be legitimate, but they're harder to verify.\n\n**2. Before-and-after AI visibility data**\n\nAsk for the actual prompts tracked across ChatGPT, Google AI Overviews, Gemini, and Perplexity, along with the frequency of brand mentions and citations before and after the campaign.\n\n**3. Business outcomes tied to AI referrals**\n\nRequest data on:\n- Qualified leads and demo requests.\n- Conversions from AI-referred visitors.\n- Revenue attributed to AI search.\n- Conversion rates compared with other acquisition channels.\n\n**4. The measurement period and starting baseline**\n\nA 500% increase sounds impressive, but it means something different if the baseline was five visits a month versus 5,000. Request absolute figures and the duration of the campaign.\n\n**5. Evidence that the agency's work contributed to the outcome**\n\nAI adoption, traditional SEO improvements, PR, and changes in the way analytics tools attribute traffic can all affect results. A good agency should explain these limitations rather than claim that every improvement was caused by GEO.\n\n## 4. The most important distinction: AI visibility versus revenue\n\nI would evaluate agencies using a simple progression:\n\n1. **Visibility:** Is your brand mentioned in relevant AI-generated answers?\n2. **Citation quality:** Are AI platforms citing credible pages that accurately represent your business?\n3. **Traffic and demand:** Are those mentions generating qualified visits, inquiries, or demo requests?\n4. **Business impact:** Can you connect the resulting leads and sales to a meaningful return on investment?\n\nAn agency that improves your AI visibility but cannot demonstrate any commercial benefit may still be useful. However, if your objective is growth, I'd prioritize firms that can track the entire progression.\n\n---\n\n## Let me narrow this down for your situation\n\n**What kind of business are you looking to hire an AEO/GEO agency for?**\n\nFor example, B2B SaaS, e-commerce, professional services, healthcare, or a local business.\n\nThat matters because the best agency for generating B2B pipeline may be quite different from the best agency for getting consumer products recommended by ChatGPT."
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "As of October 2026, several agencies publish documented client results for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), including measurable changes in AI citations, brand recommendations, AI-referred traffic, leads, and revenue.\n\nThe important distinction is between an agency that publishes specific before-and-after results and one that merely promises to improve visibility in ChatGPT, Perplexity, Gemini, or Google AI Overviews.\n\nHere are the strongest candidates I found based on publicly available case studies, with emphasis on named clients, quantified outcomes, and measurement detail.\n\nAgencies with documented AEO/GEO results\n\n1. AEO.co\n\nStrong AEO evidence\n\nBest for: DTC, e-commerce, and consumer brands.\n\nOutdoor Vitals: AI visibility rose from 0% to 34% in 11 days, with 22 of 60 monitored results citing the brand.\n\nWinona: Google AI Mode share of voice increased from 13% to 50%.\n\nBabyRx: Earned six GPT citations in three weeks.\n\nIts published results identify the measurement window and tracked outcomes.\n\nWebsite: aeo.co\n\n2. Cited Agency\n\nBusiness outcomes reported\n\nBest for: B2B services, SaaS, and lead generation.\n\n303 London: reports 47 qualified leads and $1.1 million in pipeline generated over 90 days.\n\nAlma: reports monthly demo requests increasing from 8 to 24, alongside a 520% increase in AI visibility.\n\nGentz: reports AI recommendations across three of four tracked platforms.\n\nThe case studies connect AI visibility with commercial metrics, although the figures are agency-reported.\n\nWebsite: citedagency.ai\n\n3. GEO Close\n\nTransparent measurement method\n\nBest for: B2B companies, manufacturers, and niche e-commerce brands.\n\nTangled Monk: direct AI recommendations doubled from 8 to 16, with share of voice rising from 7.9% to 18.8%.\n\nS. Nihar Exports: Gemini share of voice rose from 0% to 21.4%.\n\nTHS IMPEX: share of voice increased from 4.1% to 14.3% in six weeks.\n\nA notable strength is its stated methodology: repeating a fixed set of buyer questions and retaining the raw AI answers.\n\nWebsite: geoclose.com/case-studies\n\n4. Position Digital\n\nBest for: B2B, SaaS, recruitment, and established businesses wanting GEO integrated with SEO and digital PR.\n\nIts case-study portfolio reports:\n\nDecentriq: 21 media placements secured in four months and a separate case reporting a 221% increase in AI citations for a MarTech company.\n\nDon't Panic: an 809% increase in AI traffic.\n\nOriel Partners: AI Overviews secured for 17 keywords.\n\nThis is a broader SEO and digital PR offering with specific AI-search case studies, rather than a GEO-only specialist.\n\nWebsite: position.digital/case-studies/geo\n\n5. MarGen\n\nBest for: B2B SaaS and regulated professional services.\n\nIts published case studies include:\n\nA UK workflow automation SaaS firm: AI citation share rose from 9% to 38% across 180 buyer queries over 14 months.\n\nA specialist commercial law firm: AI citation share rose from 4% to 41% across 75 priority queries over 12 months.\n\nA financial advisory practice: citation rate increased from 0% to 31% across 45 queries in 90 days.\n\nThese examples are particularly useful for evaluating longer-term citation growth in complex, high-trust industries.\n\nWebsite: margen.net/case-studies\n\nOther agencies worth reviewing\n\nThese agencies also publish AEO/GEO case studies, but I would scrutinize their evidence before putting them on a shortlist.\n\nAgency\n\nPublished result\n\nWhat to check\n\nNetcloud India\n\nReports 3.8\u00d7 LLM citation growth and 68% AI-referred traffic growth in 90 days for an e-commerce client.\n\nClient identity and underlying analytics\n\nAEO Agency\n\nPublishes case studies across 10 countries and multiple industries.\n\nQuantified before-and-after metrics\n\nAY Rank\n\nReports a smart-glasses brand reaching $36K monthly recurring revenue in eight months.\n\nHow much revenue can be attributed to GEO specifically\n\nThe GEO Agency\n\nPublishes initial GEO audit scores and case-study findings for named brands.\n\nCompleted post-optimization results versus work still in progress\n\nHow I'd choose between them\n\nMy initial shortlist would be:\n\nFor consumer brands and e-commerce: AEO.co.\n\nFor pipeline, leads, and measurable commercial outcomes: Cited Agency.\n\nFor transparent AI citation measurement: GEO Close.\n\nFor a combined SEO, digital PR, and GEO strategy: Position Digital.\n\nFor B2B and regulated industries: MarGen.\n\nThese are recommendations based on the evidence published on their websites, not independent audits of their performance.\n\nWhat counts as convincing proof?\n\nBefore hiring any AEO/GEO agency, ask for three things:\n\nA before-and-after report: The same set of non-branded buyer questions tested across ChatGPT, Gemini, Perplexity, and Google AI search.\n\nEvidence of business impact: AI-referred sessions, qualified leads, demo bookings, or revenue\u2014not just a higher AI visibility score.\n\nAttribution and reproducibility: The measurement dates, sample size, raw answer records, analytics exports, and explanation of what other marketing changes occurred during the engagement.\n\nAI answers fluctuate, and an increase in citations does not automatically mean an increase in sales. Published case studies are useful evidence, but client references and verifiable underlying data are stronger.\n\nOne question that would help narrow this down: Are you looking to hire an agency for your own business, or researching agencies as competitors or potential partners? I can tailor the shortlist to your industry and budget."
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "If you mean **agencies specializing in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) that publish measurable client outcomes**, the field is still young, so the strongest evidence tends to be agency-published case studies rather than independently audited reports. I\u2019d separate them by how much documentation they provide (named clients, metrics, measurement methods, screenshots, etc.). [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com)\n\n## Agencies with publicly documented AEO/GEO client results\n\n| Agency | Documented results available | Notes |\n|---|---|---|\n| AEO Engine | Yes | Publishes multiple case studies with metrics such as AI citations, LLM traffic growth, revenue attribution, and organic growth. Examples include claims around Ask4SAM, OppoSuits, Gourmend Foods, Smartish, and others. [AEO Engine](https://aeoengine.ai/case-studies?utm_source=chatgpt.com) |\n| AEO.co | Yes | Publishes tracked visibility outcomes, including AI visibility scores, AI Mode share-of-voice, and GPT citation examples for brands such as Outdoor Vitals, Winona, and BabyRx. [AEO.co](https://aeo.co/?utm_source=chatgpt.com) |\n| AEO Labs | Yes | Stands out for describing verification methods (for example, prompt tracking, AI share links, Search Console, GA4 attribution) rather than only showing screenshots. [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com) |\n| AEO Agency | Yes | Publishes international case studies across ecommerce, SaaS, local businesses, and other categories. [AEO Agency](https://aeoagency.org/our-case-studies/?utm_source=chatgpt.com) |\n| SEOLIONO | Yes | Publishes AEO/GEO case studies focused on AI visibility, LLM citations, and organic growth metrics. [Seoliono](https://seoliono.com/case-studies/?utm_source=chatgpt.com) |\n| GEO Agency | Yes, but mostly testimonial-style | Publishes claimed improvements in AI visibility, citations, and leads through client testimonials. The level of independent verification varies. [GEO Agency](https://www.geoagency.net/?utm_source=chatgpt.com) |\n\n## What I\u2019d look for before hiring one\n\nBecause AEO/GEO metrics are not yet standardized, the quality of proof matters more than the size of the claimed numbers. Strong case studies usually include:\n\n- **Named client or permissioned disclosure**\n- **Specific prompts tracked** (e.g., \u201cbest CRM for X,\u201d not just \u201cAI visibility increased\u201d)\n- **Which engines were measured** (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude)\n- **Before/after citation share**\n- **Revenue or lead attribution methodology**\n- **Measurement tools used** (GA4, Search Console, prompt tracking platforms, etc.) [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com)\n\n## Agencies with the strongest-looking public proof (based on documentation depth)\n\n1. **AEO Engine** \u2014 broadest public case-study library with traffic, revenue, and citation metrics. [AEO Engine](https://aeoengine.ai/case-studies?utm_source=chatgpt.com)  \n2. **AEO Labs** \u2014 strongest emphasis on verification methodology and reproducibility. [AEO Labs](https://www.aeolabs.ai/blog/answer-engine-optimization-examples?utm_source=chatgpt.com)  \n3. **AEO.co** \u2014 unusually clear AI visibility measurement examples. [AEO.co](https://aeo.co/?utm_source=chatgpt.com)  \n4. **SEOLIONO** \u2014 good breadth of AEO/GEO + SEO case examples. [Seoliono](https://seoliono.com/case-studies/?utm_source=chatgpt.com)  \n\nA caveat: many agencies in this space use \u201cGEO\u201d and \u201cAEO\u201d interchangeably, and the industry lacks a universal reporting standard. A company claiming \u201cwe increased AI visibility 300%\u201d may be measuring something very different from another company making the same claim. [Stackmatix](https://www.stackmatix.com/blog/aeo-case-studies?utm_source=chatgpt.com)\n\nI can also provide a **ranked shortlist of AEO/GEO agencies by credibility, transparency, and enterprise suitability** if you\u2019re evaluating vendors."
    },
    {
      "day": "2026-10-12",
      "question": "Which AEO and GEO agencies have documented client results?",
      "answer": "Several agencies now publish case studies with measurable Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) results. The most useful ones go beyond saying clients are \u201cvisible in ChatGPT\u201d and report specific changes in AI citations, share of voice, referral traffic, leads, or revenue.\n\nMy shortlist is AEO Labs, Intero Digital, AEO.co, Arc Intermedia, and Cited Agency. They offer different levels of evidence and different types of services, so I would evaluate them based on whether you want more AI citations, more qualified leads, or attributable revenue.\n\nAgencies with documented AEO/GEO results\n\n1. AEO Labs\n\nNamed client metrics\n\nA specialist in AI search visibility and citation optimization.\n\nOpenSea: AI citation share increased from 5% to 27% over seven months.\n\nTry Create: Reported organic revenue growth from $2 million to $25 million.\n\nLux Unfiltered: Reported being selected by Gemini as its top dye-free tanning product recommendation.\n\nAEO Labs describes its prompt-tracking methodology and distinguishes AI visibility results from revenue outcomes.\n\nBest for: brands wanting measurable citation share, product recommendations, and commercial outcomes.\n\nWebsite and case studies\n\n2. Intero Digital\n\nMultiple client case studies\n\nAn established digital marketing agency with a dedicated GEO offering.\n\nKitchen equipment brand: Reported a 5,665% increase in AI search visibility and 189% year-over-year growth in AI-driven referrals.\n\nGlobal industrial manufacturer: Reported going from zero Google AI Overview appearances to more than 1,200 year over year, alongside a 24% increase in organic revenue.\n\nTRACOM Group: Reported a 1,214% increase in engagement events from AI-referred traffic.\n\nThese figures appear on its GEO service page, with links to the individual case studies. Some client identities are generalized, so ask for the underlying measurement reports.\n\nBest for: larger businesses seeking GEO integrated with technical SEO, content strategy, and digital PR.\n\nWebsite and GEO results\n\n3. AEO.co\n\nTracked before-and-after metrics\n\nA specialist focused specifically on helping brands become recommendations in AI answers.\n\nOutdoor Vitals: AI visibility score rose from 0% to 34% in 11 days, with 22 of 60 monitored results citing the brand.\n\nWinona: Google AI Mode share of voice rose from 13% to 50%.\n\nBabyRx: Earned six GPT citations in three weeks.\n\nThe agency says the results are used with permission and identifies the measurement windows and platforms. These are primarily visibility metrics, not proof of incremental sales.\n\nBest for: founder-led and direct-to-consumer brands seeking hands-on AEO implementation.\n\nWebsite and client results\n\n4. Arc Intermedia\n\nAI traffic case studies\n\nAn organic visibility agency with a dedicated GEO service and published traffic outcomes.\n\nNational retirement-community nonprofit: Reported a 726% increase in AI search traffic and a 2,597% increase in ChatGPT traffic.\n\nArc Intermedia's own site: Reported a 1,128% increase in engagement and more than 60 pages receiving AI-driven traffic.\n\nThe retirement-community example is a client case study; the second is a self-reported demonstration. The public service page does not identify the nonprofit by name.\n\nBest for: organizations prioritizing organic content, AI referral traffic, and established SEO capabilities.\n\nWebsite and GEO case studies\n\n5. Cited Agency\n\nLead and pipeline metrics\n\nAn AEO-focused agency that publishes client examples tied to business development.\n\n303 London: Reported 47 qualified leads and $1.1 million in pipeline generated in 90 days.\n\nAlma: Reported monthly demo requests increasing from 8 to 24, alongside a 520% increase in AI visibility.\n\nGentz: Reported being recommended across three of four AI platforms for regional queries.\n\nThese are agency-published case-study figures; the public summaries do not independently establish how much of the pipeline was caused by AEO.\n\nBest for: B2B and service businesses that care about qualified leads, demos, and pipeline rather than citations alone.\n\nWebsite and case studies\n\nHow I would rank them\n\nAgency\n\nStrongest published evidence\n\nMain limitation\n\nAEO Labs\n\nNamed brands, citation-share changes, revenue claims\n\nRevenue attribution needs validation\n\nIntero Digital\n\nMultiple GEO case studies, AI referral and revenue metrics\n\nSome clients are anonymized\n\nAEO.co\n\nSpecific engines, tracked cohorts, before-and-after visibility\n\nMostly early visibility indicators\n\nArc Intermedia\n\nAI referral traffic and engagement growth\n\nOne prominent example is anonymized\n\nCited Agency\n\nQualified leads, pipeline, demos and AI visibility\n\nPublic summaries don't prove causation\n\nThese are my research-based candidates, not an independently audited performance ranking. Their results are published by the agencies themselves, and I have not independently verified their client analytics.\n\nWhat counts as convincing proof?\n\nBefore hiring any AEO/GEO agency, I'd ask for:\n\nBaseline and follow-up data: The same set of prompts measured before and after the engagement.\n\nPlatform-level results: Separate data for ChatGPT, Google AI Overviews or AI Mode, Gemini, and Perplexity, where relevant.\n\nBusiness impact: AI-referred sessions, qualified leads, conversions, and revenue\u2014not just an AI visibility score.\n\nAttribution methodology: How the agency distinguishes its impact from normal SEO growth, PR, paid marketing, and changes in AI platforms.\n\nA named reference: Ideally, a client you can speak with about results and the duration of the engagement.\n\nOne important distinction: a 500% increase in AI visibility is not necessarily a 500% increase in sales. Citation share, referral traffic, and revenue measure different things.\n\nMy recommendation: Start with AEO Labs if you want a specialist with named-brand examples, Intero Digital if you need an established full-service partner, or Cited Agency if pipeline generation is your primary goal. Request a sample report from each before making a decision."
    }
  ]
}