AI Visibility Monitoring and Measurement: What The Shortlist Report Finds ========================================================================= Question: Who measures brand visibility across AI assistants? Engine: chatgpt Collected: 2026-09-03, 2026-09-05, 2026-09-08, 2026-09-09, 2026-09-10, 2026-09-12, 2026-09-15, 2026-09-16, 2026-09-19, 2026-09-22 Answers: 66 Every answer this report was counted from, unedited. --- ANSWER 1 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? The market for tracking AI citations, AI recommendations, and “share of voice” in answer engines is still emerging. The agencies and platforms doing this are usually positioned under Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or AI visibility tracking. Some notable players: Agency / platformWhat they trackBest fit HubSpot (AEO tools)Brand mentions, citation patterns, visibility scores, changes over time across tracked promptsMarketing teams already using HubSpot; content-led teams Meltwater (GenAI Lens)AI answer citations, source influence, brand mentions, narrative/reputation signalsPR, communications, enterprise reputation monitoring Citant.ai“Share of Model,” citation rates, AI platform comparisons across ChatGPT, Gemini, Claude, Copilot, Perplexity, and AI OverviewsB2B SaaS and brands building GEO programs HertzCitations, recommendations, share of voice, sentiment, competitor movement across AI enginesEnterprise AI visibility programs AIS InsightsAI recommendations, citations, visibility trends, competitor comparisons, cited sourcesBrand teams wanting daily AI-search monitoring CiteWatchAI mentions, citation rate, share of voice, visibility score, cited URLsSmaller teams needing a focused dashboard GenMentionCitation rate, cited URLs, keyword-level trends, competitor citation insightsLightweight monitoring and SEO teams experimenting with GEO SEORavPrompt-level citation tracking, competitor citations, historical GEO performanceSEO agencies adding AI visibility reporting A few broader measurement approaches: AI citation share / share of voice: Percentage of relevant AI answers where your brand or domain appears versus competitors. Recommendation share: How often an AI assistant recommends your product/service in category prompts. Citation durability: Whether the same sources continue appearing over weeks or months. Prompt-panel tracking: Running the same set of customer questions repeatedly and measuring changes over time. Source-level attribution: Which pages, publishers, reviews, or third-party sites are causing AI systems to mention you. For enterprise-grade reporting, I’d look first at Meltwater, HubSpot AEO, Hertz, and AIS Insights. For a GEO agency workflow, Citant.ai, SEORav, and CiteWatch are closer to purpose-built citation monitoring. Also worth noting: search platforms themselves are beginning to expose some of these signals. For example, Microsoft has introduced AI Performance reporting in Bing Webmaster Tools that shows when publisher content is cited in AI-generated answers and how citation activity changes over time. --- ANSWER 2 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? If by “agencies” you mean firms that actually provide ongoing measurement—not just one-off GEO audits—the market is still fairly small. The strongest options I found are: Search Agency — tracks named prompts across ChatGPT, Gemini, Perplexity, and Google AI Overviews, with monthly citation share, mentions, sentiment, AI traffic, and competitor comparisons. This is probably the closest match to an agency-style reporting service. Soar Agency — explicitly offers ongoing citation tracking and share-of-voice trends across ChatGPT, Claude, Gemini, and Perplexity, with monthly reporting. The Enough Agency — tracks mentions, citations, recommendations, recommendation share, mention rank, competitor SOV, and source mapping across six AI surfaces. Particularly relevant if you care about recommendation share, rather than merely whether you're mentioned. Siftly — built around agencies managing multiple clients; tracks mention rate, share of voice, citations, competitors, and GEO experiments across ChatGPT, Perplexity, and Google AI Overviews, with reporting/white-label capabilities. Meltwater — more of a large-scale PR/media-intelligence platform than a pure GEO agency, but its AI-search research tracks citations across eight AI surfaces and measures changes over time. Its July 2026 report, for example, analyzed thousands of prompts. If you mean the underlying measurement platforms There are also several SaaS platforms agencies can use rather than hiring an agency: Profound — enterprise-grade AI citation/source intelligence. Peec AI — strong agency/multi-client orientation. Otterly.AI — lower-cost GEO monitoring. Ahrefs Brand Radar — useful if you're already an Ahrefs customer. Temso — combines AI share-of-voice tracking with GEO execution. DeepSmith — tracks mention rate, citation rate, and SOV across five major AI surfaces with historical trends. One important distinction: “citation share” and “recommendation share” aren't necessarily the same metric. A brand can be recommended without its own domain being cited, while a third-party source can be cited without the brand being recommended. The more sophisticated measurement providers therefore track mention/presence, recommendation position, citation rate, source/domain share, and competitive share-of-model separately. Clear Cited, for example, explicitly measures share-of-model with statistical confidence intervals across ChatGPT, Perplexity, Claude, Gemini, and Grok. My shortlist if you're evaluating vendors: The Enough Agency — best match for recommendation + citation + competitive share. Search Agency — best for an agency delivering executive-level recurring reporting. Siftly — best if you're an SEO/marketing agency managing many clients. Meltwater — best for large-scale PR/brand intelligence. Profound/Peec/Otterly — best if you want the measurement software rather than an outsourced agency. If you're asking because you're looking for a vendor to benchmark your own AI visibility over 6–12 months, I can also compare these on engines covered, sampling methodology, historical data, recommendation-share methodology, API access, white-label reporting, and approximate pricing. --- ANSWER 3 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? If you mean agencies/tools that measure how often brands are cited, mentioned, or recommended inside AI answers (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) and track the share over time, the category is usually called AI visibility monitoring, GEO (Generative Engine Optimization) tracking, or AI search analytics. Some notable providers: Agency / platformWhat they track BrightEdgeEnterprise SEO and AI search visibility measurement; tracks changes in search behavior and AI-driven discovery. ConductorEnterprise organic visibility analytics with emerging AI search measurement capabilities. SemrushSEO platform expanding into AI search visibility and brand monitoring workflows. AhrefsTraditional search intelligence; increasingly used alongside AI citation monitoring tools. NightwatchOffers AI citation intelligence, monitoring mentions/recommendations across AI engines and comparing visibility over time. CitationBenchTracks brand citations, citation rank, and share-of-voice across ChatGPT, Claude, and Perplexity with historical tracking. AIS InsightsTracks AI mentions, citations, share of voice, sentiment, and competitor visibility over time. CiteWatchTracks AI visibility score, citation rate, share of voice, and prompt-level AI mentions. WebGlazerMonitors AI recommendations, competitor displacement, sentiment, and source citations. CitationLabTracks AI mentions, citations, recommendation share, and competitor benchmarks. HertzMeasures citations, recommendations, and share of voice across AI engines and AI Overviews. Common metrics these services report: Citation share — percentage of AI answers where your brand/source is cited. Recommendation share — how often AI recommends your brand versus competitors. Share of voice (SOV) — your portion of AI-generated mentions in a tracked category. Citation frequency — percentage of tracked prompts producing a citation. Average recommendation rank — whether you appear as the first, second, etc. recommendation. Sentiment — whether AI descriptions are positive, neutral, or negative. Source influence — which websites, articles, reviews, or datasets appear to drive AI answers. For an agency reporting workflow, the closest analog to SEO rank tracking is usually: Define a fixed prompt set (“best CRM for startups,” “top accounting firms,” etc.). Run those prompts across AI engines on a schedule. Record mentions, citations, recommendations, and competitors. Build trend charts showing AI share-of-voice over weeks/months. The market is still early; many traditional SEO agencies are adding GEO services, while newer specialists are focused specifically on AI citation tracking. --- ANSWER 4 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? Yes. There’s now a fairly clear market of GEO / AI-visibility agencies that track citations, mentions, recommendations, and competitive share over time. Agencies I’d put on the shortlist Rank.airank.ai — particularly measurement-heavy. It says it samples prompts daily across ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI Overviews and others, with reporting on mention rate, citation rate, competitors and changes over time. Search Agencysearch.agency — tracks named buyer prompts across ChatGPT, Gemini, Perplexity and Google AI Overviews and reports citation share, mentions, sentiment and AI traffic month over month. Citemeciteme.io — full-service GEO agency with ongoing citation tracking and competitive monitoring across nine engines, rather than simply producing an audit. Growth Anchorsgrowthanchors.com — offers GEO/AEO as an ongoing program and explicitly reports weekly citation-share monitoring across 12+ LLMs/answer engines. Revliftrevlift.co — tracks mentions, citations and share of voice, both aggregated and by individual engine. Origo Labsorigolabs.ai — more specialized GEO consultancy/agency; its process maps which answers cite you versus competitors and then works on increasing citations. If by "recommendation share" you mean "How often does AI recommend us vs. competitors?" That's a slightly different metric from citation share. Clear Cited is useful as an example of the measurement approach: it measures share of model—the proportion of sampled AI answers in which a brand is recommended/mentioned—and publishes cross-engine results for ChatGPT, Perplexity, Claude, Gemini and Grok. There are also dedicated monitoring products rather than agencies. BrandGhost currently analyzes citations and recommendations across ChatGPT, Claude, Gemini and Perplexity, while CitationLab reports citation share, mention share and competitor share over time. What I'd look for If you're evaluating an agency, I'd insist that they show you a dashboard with: Fixed prompt set — same commercial questions every measurement period. Recommendation rate — % of answers recommending your brand. Citation rate/share — % of answers citing your domain, preferably position-weighted. Competitive share of model — your share versus named competitors. Per-engine breakdown — ChatGPT ≠ Perplexity ≠ Gemini, etc. Historical trend — weekly/monthly rather than a one-time "AI visibility score." Actual answer/citation evidence — so you can audit where the numbers came from. That distinction matters because a one-off ChatGPT check is essentially anecdotal; repeated sampling is necessary because AI answers vary between runs. My take: if you're buying an agency service, I'd investigate Rank.ai, Search Agency, Citeme, and Growth Anchors first. If you're primarily looking for the measurement infrastructure to compare agencies or run this internally, I'd look at Profound, Ahrefs Brand Radar, Peec AI, Scrunch, Otterly, and the newer specialist trackers rather than paying an agency solely for reporting. A current 2026 comparison puts those among the leading AI-visibility tracking platforms. If you tell me your industry + company size + whether you want an agency to do the optimization or just the tracking, I can narrow this to the 3–5 best fits and compare their coverage, methodology, and pricing. --- ANSWER 5 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? The market for tracking AI citations, AI recommendation share, and “generative engine optimization” (GEO) visibility is still emerging. There are a few categories of providers: Dedicated AI visibility / GEO tracking platforms Profound — Tracks how brands appear in AI answers, including mentions, citations, competitors, and recommendation visibility across AI search experiences. Otterly.ai — Focuses on AI search monitoring, tracking whether brands appear in AI-generated answers and how visibility changes over time. It is frequently included among AI visibility tools in industry benchmarks. Peec AI — Provides AI search visibility tracking, including competitive monitoring and answer-engine analysis. Hertz — Tracks citations, recommendations, and share of voice across AI engines and AI Overviews, with competitor and prompt-level reporting. CiteWatch — Tracks AI mentions, citation rate, share of voice, sentiment, and citation history across AI assistants. SEO platforms expanding into AI visibility Semrush — A major SEO platform moving into AI visibility measurement; industry comparisons show it being evaluated alongside dedicated AI visibility tools. Ahrefs — Another SEO incumbent expanding into AI search tracking and competitive visibility analysis. Agencies and measurement services These are not just software products; they often build custom prompt panels and recurring reports: Search Agency — Tracks named prompts across AI assistants and reports metrics such as citation share, mentions, sentiment, and AI-attributed traffic. Soar — Provides AI citation tracking and share-of-voice reporting across assistants such as ChatGPT, Claude, Gemini, and Perplexity. AIS Insights — Tracks how brands are mentioned, recommended, and cited across AI search systems, with historical visibility trends. Common metrics these providers track Most use variations of: Citation share — percentage of AI citations attributed to your brand/domain versus competitors. Recommendation share / recommendation rank — how often an AI system recommends your brand and where you appear in the recommendation set. Mention rate — how often a brand appears in answers to a tracked prompt set. Share of voice — your portion of AI-generated visibility within a category. Source/citation domain analysis — which third-party sites AI systems rely on when mentioning you. Trend history — whether visibility is improving or declining over weeks/months. If you are evaluating vendors for an enterprise use case, the main differentiators are usually: Which models they track (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Copilot, etc.). Whether they store raw answer snapshots for auditability. Whether they measure citations separately from mentions/recommendations. Whether they provide competitor benchmarking over time. A practical shortlist to evaluate would be Profound, Otterly.ai, Semrush, Ahrefs, Peec AI, Hertz, and Search Agency depending on whether you want software, SEO integration, or a managed reporting service. --- ANSWER 6 of 66 (2026-09-03) --- Q: Which agencies track AI citations and recommendation share over time? Yes. If by “agencies” you mean firms that provide ongoing AI-search/GEO measurement rather than just software, a few are particularly relevant: Search Agencysearch.agency — probably the closest match to your wording. They track a fixed set of buyer prompts across ChatGPT, Gemini, Perplexity and Google AI Overviews, with citation share, mention frequency, sentiment, recommendation/list position, and month-over-month trends. They also offer live dashboards and monthly reporting. Ellipsisgetellipsis.com — explicitly measures citation share and recommendation share, including competitive “most recommended” positioning, and ties changes to AI-sourced leads/pipeline. Soar Agencysoar.sh — offers agency-led AI visibility tracking across ChatGPT, Claude, Gemini and Perplexity, including citation tracking and monthly share-of-voice trends. Fibonacci Agencyfibonacciagency.com — specifically advertises AI mentions, AI citations, AI recommendation share, and AI visibility as ongoing metrics. The Business Roverthebusinessrover.com — positioned around recurring AEO reporting for agencies/in-house teams, measuring citation share, share of voice, sentiment and prompt coverage over time. If you mean software platforms that agencies can use to do this themselves, there are quite a few more mature options: CitationLab — daily tracking of mentions, citations and recommendations across ChatGPT, Gemini, Perplexity and Google AI Overviews, with citation/share trends. Norund — particularly interesting if recommendation share is the key metric. It explicitly separates direct recommendations from incidental mentions and calculates competitive recommendation share. Citations.io — tracks citations across ChatGPT, Gemini, Perplexity and Claude, including 90-day share-of-answer trends. Rank.ai — tracks mention rate, citation share and sentiment across seven AI surfaces with daily rechecks and historical trends. GEOflux — tracks mentions, citations, sentiment and share of voice over time, with competitor/source analysis. Veritas — tracks AI citations and share of voice across ChatGPT, Perplexity, Gemini and Google AI Overviews over time. The important distinction Citation share and recommendation share aren't quite the same metric. Citation share: What proportion of the sources AI cites belong to you? Mention share: How often does AI name you? Recommendation share: When AI recommends businesses/products, how often are you one of the recommendations versus competitors? Position/rank: Are you the first recommendation/citation or #5? Trend: Are those numbers improving consistently over weeks/months? If you're evaluating vendors, I'd prioritize one that re-runs the exact same prompt set over time, records the full answer and citations, distinguishes recommendation from mere mention, and benchmarks competitors. That makes the resulting “AI share” much more defensible than a proprietary single-number visibility score. For recommendation share specifically, Norund and Ellipsis stand out; for broader citation/share-of-voice reporting, Search Agency is one of the clearest agency offerings. --- ANSWER 7 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If you mean who can measure your brand’s visibility inside ChatGPT, Gemini, Perplexity, Claude, and other AI answer engines versus competitors, there are a few categories of providers: AI visibility benchmarking platforms These are usually the fastest way to get a competitive baseline: Profoundtryprofound.com — Enterprise-focused AI visibility measurement; tracks brand mentions, prompts, citations, and competitive presence across AI engines. Semrushsemrush.com — Useful if you already use SEO tooling and want AI visibility added into an existing search workflow. Otterly.AIotterly.ai — Focuses on AI search monitoring, prompt tracking, competitor comparisons, and reporting. Peec AIpeec.ai — Tracks AI search presence across markets and languages, with competitor benchmarking features. Scrunch AIscrunch.com — Enterprise-oriented AI visibility and optimization platform. Agencies and consultants For a strategic benchmark (not just a dashboard), look for GEO/AEO specialists who can deliver: A competitor share-of-voice report across AI answers Prompt universe analysis (“what questions buyers ask”) Citation/source analysis (which sites AI models trust) Brand positioning gaps Content/entity/reputation recommendations Ongoing measurement Some agencies combine tooling with consulting; the market is still developing, so ask for methodology and sample outputs before engaging. What a good benchmark should include A credible AI visibility benchmark should compare you and competitors on: MetricExample question AI mention rateHow often does AI name us vs competitors? Share of voiceWho appears most often in category recommendations? Citation shareWhich brands get referenced with supporting sources? Sentiment/positioningIs AI describing us positively or negatively? Prompt coverageWhich buyer questions do we win or lose? Model coverageDoes performance differ across ChatGPT, Gemini, Perplexity, Claude, etc.? Because AI answers are probabilistic, repeated measurements over time are more meaningful than a single snapshot. If you tell me your industry, company size, competitors, and whether you want a one-time audit or ongoing monitoring, I can suggest the best-fit vendors or an evaluation shortlist. --- ANSWER 8 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking how often your brand appears in AI-generated answers compared with competitors (ChatGPT, Gemini, Perplexity, Google AI features, etc.), the work is usually done by AI visibility/GEO (Generative Engine Optimization) platforms, SEO intelligence firms, or specialized marketing agencies. Some options: Enterprise AI visibility platforms Profound — suited for larger brands that need citation analysis, prompt-level tracking, and competitive intelligence. Scrunch AI — focuses on AI brand monitoring, sentiment, and enterprise reporting. Marketing/SEO platforms adding AI visibility Semrushsemrush.com — useful if you already use SEO tooling and want AI visibility tracking integrated with broader search data. Ahrefs — has expanded into AI-related brand visibility research through its tools. Specialized AI visibility trackers Peec AI — aimed at tracking brand mentions and share of voice across AI platforms. Otterly.AI — a lighter-weight option for prompt tracking and competitor comparisons. Agencies/consultancies Digital marketing agencies offering GEO/AEO audits can run a custom benchmark: they define buyer prompts, test your brand and competitors, analyze citations, and recommend content/PR/technical changes. AI visibility services increasingly combine SEO, content, and PR approaches rather than just rankings. A good benchmark typically measures: Share of AI voice — how often you appear versus competitors Mention rate — whether AI recommends you at all Citation sources — which websites AI relies on for your competitors Position/context — whether you are the top recommendation, an alternative, or just mentioned Sentiment and accuracy — whether AI describes your brand correctly If you tell me your industry, company size, and whether you want a one-time audit or ongoing monitoring, I can narrow this to the best-fit vendors or agencies. --- ANSWER 9 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If you mean who can measure your brand’s visibility inside AI answers (ChatGPT, Gemini, Perplexity, Google AI results) versus competitors, there are a few types of providers: AI visibility benchmarking platforms Profound — Enterprise-focused platform for tracking how brands appear in AI-generated answers, including competitor comparisons and citation analysis. Peec AI — Useful for ongoing share-of-voice monitoring across AI engines and competitor benchmarking. Semrush — A fit for teams that want AI visibility measurement alongside existing SEO, content, and competitive research workflows. Ahrefs — Relevant for teams already using SEO intelligence and wanting broader brand/search visibility analysis with AI-related capabilities. Otterly.AI — More lightweight option for tracking mentions and competitor presence in AI responses. Agencies and consultants A specialist GEO (Generative Engine Optimization) / AEO (Answer Engine Optimization) agency can also run a benchmark. They typically: Build a prompt set based on your buyers’ questions. Test how often AI recommends you vs. competitors. Measure: AI share of voice Mention frequency Citation sources Sentiment Competitor gaps Content/PR opportunities Some agencies combine measurement with execution, such as improving content, structured data, digital PR, and third-party authority signals. What to ask for in a benchmark A useful competitive AI visibility report should include: Competitor set 3–10 direct competitors “AI-native” competitors (brands AI recommends even if they are not your traditional rivals) Prompt library “Best [category] software” “Alternatives to [competitor]” “Who should I use for [problem]?” Buyer-specific questions AI platforms tested ChatGPT Google AI experiences Gemini Perplexity Claude (where relevant) Outputs Your AI visibility score vs. competitors Where competitors are cited and you are missing Which websites/sources influence AI answers Recommended actions For most companies, the right choice depends on scale: Startup / SMB: Peec AI, Otterly.AI, or a focused consultant Marketing team with SEO stack: Semrush or Ahrefs-based approach Enterprise / global brand: Profound or a specialized AI visibility agency If you share your industry, competitors, and whether you want a one-time audit or ongoing monitoring, I can narrow this to the best-fit providers. --- ANSWER 10 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If you mean who can measure your brand’s visibility inside AI answers (ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.) and benchmark it against competitors, there are a few categories of providers: AI visibility benchmarking platforms Ahrefs AI Visibility Indexahrefs.com — Useful if you already use SEO tooling; it benchmarks brands against competitors using AI mentions, citations, and prompt-based visibility data across major AI platforms. Semrush AI Visibility Indexai-visibility-index.semrush.com — Enterprise-oriented benchmarking with brand mentions, competitor co-occurrence, cited sources, and industry comparisons. Profoundtryprofound.com — Focuses on enterprise AI search monitoring, prompt tracking, and citation analysis. Peec AIpeec.ai — Tracks AI mentions and share of voice across AI engines, often used by marketing teams and agencies. Scrunch AIscrunchai.com — Focuses on brand presence and sentiment in AI-generated answers. Agencies and consultancies If you want strategy, not just a dashboard, look for agencies specializing in: Generative Engine Optimization (GEO) Answer Engine Optimization (AEO) AI search strategy Digital PR and authority building Content/entity optimization These firms typically run a baseline benchmark, compare you against 3–10 competitors, identify citation gaps, and recommend changes to content, PR, structured data, and brand authority. Some newer AI visibility services combine measurement with human analysis and optimization programs. What a good benchmark should include Ask whoever you hire to measure: AI Share of Voice: how often your brand appears vs. competitors Mention rate: percentage of tracked prompts where you appear Citation sources: which websites and sources AI systems rely on Competitor gaps: where competitors are cited and you are absent Sentiment/context: whether AI recommends you positively or negatively Prompt categories: discovery, comparison, buying-intent, and use-case queries A practical shortlist: Enterprise brand: Semrush, Ahrefs, Profound, or a GEO consultancy Mid-market marketing team: Ahrefs, Peec AI, Scrunch AI Need a one-time competitive audit: hire a GEO/AI search consultancy rather than buying software If you share your industry, competitors, and whether you need a one-time audit or ongoing tracking, I can narrow this to the best-fit providers. --- ANSWER 11 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking your brand’s visibility in AI answers (ChatGPT, Gemini, Perplexity, Google AI results, etc.) against competitors, the main options are: AI visibility benchmarking platforms Ahrefs AI Visibility Indexahrefs.com — Good fit if you already use SEO tools and want large-scale prompt data, competitor comparisons, and AI mention/citation tracking. Profoundtryprofound.com — Often used by enterprise teams that want deep analysis of what AI systems say about brands, which sources they cite, and why competitors appear. Peec AIpeec.ai — A lighter-weight option for tracking AI mentions, share of voice, and competitor visibility across multiple AI engines. Semrush AI Visibility Toolkitsemrush.com — Useful for marketing teams that want AI visibility measurement alongside traditional SEO and content workflows. Otterly.AIotterly.ai — A more accessible option for monitoring prompts, mentions, and citations. Agencies / consultants that can run a benchmark For a one-time executive benchmark or a competitive strategy project, look for: AI search optimization (GEO/AEO) agencies — They typically build a prompt set around your buyer journey, test competitors, analyze citations, and recommend content/technical changes. SEO strategy firms adding AI visibility services — Often a good fit because AI visibility overlaps with content authority, digital PR, structured data, and technical SEO. Enterprise digital marketing consultancies — Better if you need board-level reporting, global markets, or integration with broader brand tracking. What a good benchmark should measure A useful report should include: Share of voice: how often your brand appears vs. competitors Recommendation rate: whether AI recommends you for category questions Citation sources: which websites AI systems rely on when mentioning competitors Prompt coverage: discovery, comparison, “best X,” alternatives, and buying-intent questions Sentiment and positioning: how AI describes your brand relative to rivals Platform differences: ChatGPT vs. Gemini vs. Perplexity vs. other AI engines For most companies, I’d start with either a specialist platform (Profound/Peec/Otterly) for measurement or an agency-led benchmark if you need interpretation and a roadmap. If you tell me your industry, company size, competitors, and whether you want a one-time audit or ongoing tracking, I can narrow this to the best-fit vendors. --- ANSWER 12 of 66 (2026-09-05) --- Q: Who can benchmark our AI visibility against competitors? If by AI visibility you mean “How often does ChatGPT/Perplexity/Gemini/etc. mention, recommend, or cite us compared with competitors?”, there are several credible options. Best options Ahrefs Brand Radar / AI Visibilityahrefs.com — Probably the easiest place to start. It benchmarks brands across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, including mentions, citations, topics and competitors. Ahrefs says its underlying dataset uses hundreds of millions of search-backed prompts. Profoundtryprofound.com — Strong enterprise-oriented option for ongoing AI-search measurement and competitive intelligence. Otterly.AIotterly.ai — Good if you want a relatively straightforward dashboard showing your brand versus competitors, including mentions and average position. Peec AIpeec.ai — Worth considering for marketing teams that want competitor-gap analysis and reporting. Scrunch AIscrunchai.com — Another established AI-visibility monitoring platform, particularly relevant for agencies and larger teams. There are also newer specialist benchmarkers. For example, Whaily publishes cross-engine benchmark data across ChatGPT, Gemini and Perplexity, while Surfaceable has benchmarked 60 brands across 20 industries. What I'd recommend If you're trying to answer an executive question like “Are we losing AI recommendations to Competitor A, B and C?”, don't just buy a generic SEO audit. Have the provider measure: Mention rate — % of relevant AI answers mentioning you. Recommendation rate — % where you're actually recommended. Share of voice — your mentions versus competitors. Average position — where you appear in ranked recommendations. Citation share — which sources AI systems use to support the answer. Sentiment/framing — how the AI describes you. Prompt-level gaps — the specific buyer questions where competitors win. Engine-by-engine performance — ChatGPT vs. Gemini vs. Perplexity vs. Google AI Overviews, etc. If you tell me your company + 3–5 competitors + industry, I can identify the best benchmarking provider for your situation and lay out exactly what a competitive AI-visibility benchmark should contain. --- ANSWER 13 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report on prompts where a brand is missing from AI-generated answers (for example, “customers ask ChatGPT best X vendors and our brand never appears”), the category is usually called AI visibility monitoring, AI search tracking, Generative Engine Optimization (GEO) measurement, or prompt monitoring. Some firms that provide this type of reporting include: Firm / platform What they report Profoundtryprofound.com Enterprise AI visibility tracking: brand mentions, competitive share of voice, and how brands appear across AI answers. Peec AIpeec.ai Tracks AI search visibility and brand presence across major AI engines; commonly used for monitoring whether brands appear in AI responses. Otterly.AIotterly.ai Monitors prompts and AI answers to show mentions, rankings, and competitor visibility. Wellowswellows.com Explicitly tracks “Brand Mentioned vs Brand Not Mentioned” at the prompt level and shows which prompts are missing your brand. Promptwatchpromptwatch.com Tracks brand and competitor mentions from AI responses across ChatGPT, Gemini, Perplexity, AI Overviews, and others. BrandCitationbrandcitation.com Reports brand mentions, citations, share of voice, sentiment, and cases where competitors appear instead. Lumidianlumidian.ai Finds prompts where a brand is absent, identifies competitors that appear instead, and tracks AI visibility. DoIShowUpdoishowup.com Checks customer prompts in ChatGPT and Google AI Mode, showing whether a brand appears and providing visibility tracking. BlueJarbluejar.ai AI search monitoring across ChatGPT, Perplexity, Gemini, and Copilot, including brand mentions, citations, and competitor changes. For an enterprise brand program, the reports you usually want are: Prompt gap report: prompts where competitors appear and your brand does not. Share-of-answer report: percentage of relevant AI answers that include your brand. Citation gap report: sources AI engines rely on when competitors appear but you are absent. Competitor displacement report: “Brand A appears in 65% of tracked prompts; Brand B appears in 22%.” Trend report: whether visibility is improving or declining after content/PR changes. If you mean market research firms/consultancies rather than software platforms (e.g., agencies that deliver executive reports), the list is different. --- ANSWER 14 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report on prompts where a brand is missing from AI answers (for example, “users ask X, competitors appear, but our brand does not”), the main category is AI visibility / Generative Engine Optimization (GEO) measurement. Examples include: Semrush AI Visibility Toolkitsemrush.com — Reports AI mentions, including prompts where a brand appears and “topic opportunities” where competitors are visible but the brand is missing. AEO Copilot — Tracks buyer prompts across AI engines and reports whether brands are mentioned, their position, and visibility gaps. A2Z Reach — Provides prompt-level reporting showing where a brand is mentioned, compared, cited, or absent across AI engines. Brandlight — An enterprise AI visibility platform focused on monitoring brand representation in AI systems. AthenaHQ — Provides AI visibility reporting and dashboards for brand presence tracking. Evertune — Tracks large prompt sets and AI visibility performance. Writesonic — Publishes AI visibility research and tracks how brands appear in AI-generated answers and citations. Related research/consulting firms that publish “missing from AI answers” analyses include: Fractl — Has analyzed which brands are underrepresented in AI answers compared with their traditional search presence. Slate Agency — Runs prompt-based AI visibility experiments showing where brands are absent from buyer questions. Seer Interactive — Has conducted large prompt studies measuring brand accuracy, presence, and non-answer rates across AI platforms. The reports are usually called AI Visibility Reports, GEO Reports, AEO Reports, LLM Visibility Reports, or Prompt Gap Analysis. They typically include: prompts where your brand appears vs. is absent competitor mentions on the same prompts AI engine breakdowns (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) citation/source analysis share of voice and ranking/position metrics If you mean agencies that will run this as a service for your brand rather than software platforms, I can narrow the list to those. --- ANSWER 15 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If you mean firms that track AI prompts where a brand is absent (i.e., “missing mentions” in ChatGPT/Gemini/Perplexity/AI search answers), the category is usually called AI visibility, generative engine optimization (GEO), or answer engine optimization (AEO) monitoring. Several firms provide reports showing prompts where competitors appear and your brand does not. Some notable providers: Semrush — Its AI Visibility reporting includes AI Mention Audits that identify prompts where a brand is included or missing, competitor visibility, and source opportunities. Ahrefs — Its Brand Radar tools let teams track custom prompts across AI assistants and monitor brand visibility against competitors. Profound — Focuses on enterprise AI search analytics, measuring how brands appear in AI answers and where gaps exist. Writesonic — Provides AI search visibility analysis, including research around brand mentions and citation gaps. Fractl — Publishes AI visibility research analyzing which brands surface or disappear for category prompts. Slate Agency — Runs prompt-based AI visibility audits that test real buyer questions and measure where brands are missing. Aventyra — Produces AI brand accuracy research covering missing mentions, incorrect brand representation, and citation issues. For an enterprise brand-monitoring program, the reports usually look at: Prompt coverage: “For which buyer questions does the brand not appear?” Share of voice: brand mentions vs competitors in AI answers. Model-by-model gaps: ChatGPT vs Gemini vs Claude vs Perplexity. Citation gaps: sources AI relies on when competitors appear but your brand does not. If you mean PR/analyst firms that publish public “brands missing from AI answers” rankings, rather than software vendors, the list is narrower and includes research groups such as Fractl and Slate Agency. --- ANSWER 16 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report on prompts where a brand is absent (i.e., “AI visibility gaps” or “missing from AI answers”), the category is usually called AI visibility tracking, Generative Engine Optimization (GEO) reporting, or Answer Engine Optimization (AEO) monitoring. These are some of the better-known providers: Firm / platform What they report Profound Tracks brand mentions, competitor presence, prompts, and AI-search visibility across major AI engines. Semrush Offers AI visibility-related monitoring as an extension of its SEO suite, including brand presence and AI search insights. Ahrefs Provides AI-related visibility and brand monitoring capabilities alongside SEO research tools. Similarweb Included among established digital intelligence vendors expanding into AI visibility measurement. Conductor Enterprise SEO provider adding AI search visibility capabilities. seoClarity Enterprise search analytics platform with AI-search monitoring efforts. Peec AI Tracks brand mentions and visibility across AI answers. Otterly.AI Monitors AI search performance and prompt-level visibility. Rankscale Measures AI rankings and brand appearance in generated answers. Scrunch AI Tracks how brands appear in AI-generated search results. Specialized reports also come from research/service firms. For example, GEO audits measure which prompts produce no brand mention, which competitors appear instead, and which sources are influencing AI answers. Some studies analyze thousands of prompts to benchmark brand visibility across AI engines. When evaluating vendors, look specifically for these report fields: Prompt-level absence: “For which buyer prompts is our brand missing?” Competitor substitution: “Who appears instead of us?” Engine breakdown: ChatGPT vs Gemini vs Claude vs Perplexity Citation/source gaps: “Which sites are AI models using instead?” Trend tracking: whether visibility is improving or declining over time One caveat: no vendor can see every private AI conversation; most measure visibility by running controlled prompt sets and sampling AI responses. --- ANSWER 17 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If you mean firms that monitor AI answers and report on prompts where a brand is absent (for example, “users ask best CRM tools and our brand never appears”), the category is usually called AI visibility tracking, LLM visibility monitoring, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO) reporting. Some firms/tools that provide this type of reporting include: Profound — Tracks brand presence in AI-generated answers and competitive visibility across AI search experiences. Peec AI — Provides AI search visibility tracking and prompt-level analysis. Otterly.AI — Monitors brand mentions and visibility in AI answers. Semrush — Has expanded into AI search visibility features alongside traditional SEO tooling. Ahrefs — Provides AI-related visibility and content analysis features in addition to SEO research. Veritas — Reports prompt-by-prompt whether brands are mentioned, cited, or absent across systems such as ChatGPT, Perplexity, Gemini, and AI Overviews. Botric — Tracks which prompts mention a brand, which competitors appear instead, and citation gaps. Foglift — Tracks prompt answers across major AI engines and identifies missing mentions and competitor wins. Indexly — Tracks prompt-level mentions, rankings, competitor presence, and citations. PromptScout — Focuses on recurring prompt monitoring and identifying visibility gaps. For a brand team/vendor evaluation, I’d look for reports with these fields: Prompt universe (“which customer questions did we test?”) AI engine coverage (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, etc.) Brand mention rate (% of prompts where you appear) Competitor displacement (“who appears when we don’t?”) Citation/source analysis (“what sources are causing the answer?”) Historical trend reporting Recommended content/actions to close gaps If you mean analyst firms that publish market reports (rather than SaaS tools that monitor your own prompts), the list would be different. --- ANSWER 18 of 66 (2026-09-08) --- Q: Which firms report on prompts where our brand is missing? If by “firms that report on prompts where our brand is missing” you mean vendors/agencies that can show the exact AI-search questions where competitors appear but your brand does not, there are several credible options: Semrush — its AI Visibility Toolkit has an AI Mention Audit that explicitly lists prompts where your brand is included and where it’s missing, with competitor and topic/source opportunities. Ahrefs — its AI Visibility Index analyzes hundreds of millions of real prompts and lets you compare brand mentions/citations across major AI surfaces; it also supports custom prompts. Search Agency — an agency service that defines a set of buyer prompts, runs them across ChatGPT, Gemini, Perplexity and Google AI Overviews, and reports mention frequency, citation share and competitor context. AIS Insights — specifically tracks prompts across major AI engines and shows where your brand is winning versus where competitors take your place. GetMentioned — provides prompt-level detail showing the exact queries where a client brand does or doesn't appear, with agency/white-label reporting. Indaeo — tracks which prompts trigger brand mentions, which sources AI trusts, and where competitors appear instead of your brand. Promptrack — reports buyer questions, AI visibility, competitors and the brands that AI names on your tracked prompts, including those you didn't initially identify as competitors. Trustable — publishes a buying-intent prompt library built around questions such as “best X for Y,” alternatives and comparisons, making it useful for identifying visibility gaps rather than just branded searches. My shortlist If your specific requirement is “give me a report of the prompts where we are missing, who shows up instead, and what sources caused that”, I'd start with: Semrush — strongest established enterprise/reporting option. AIS Insights / Indaeo — strong prompt-level competitive visibility. Search Agency — better fit if you want an agency to interpret the data rather than just provide software. GetMentioned — particularly relevant if this needs to be delivered as recurring client/agency reporting. The important distinction is that “AI visibility score” alone isn't enough. You want a report at the prompt level, ideally containing: prompt → your brand absent/present → competitors mentioned → cited sources → position/recommendation → sentiment → recommended action. That is what turns an AI-visibility report into an actionable “where are we missing?” report. If you tell me your industry/brand and whether you're looking for a software vendor or an agency, I can narrow this to the 3–5 best firms and compare pricing, platforms covered, prompt volume, and reporting. --- ANSWER 19 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean who inside a company owns the job of connecting AI visibility (GEO/AIO/AI search presence) to leads and revenue, it usually sits at the intersection of several teams rather than one title. The people most responsible are: Demand Generation / Growth Marketing leaders — usually the closest owner because they measure pipeline, CAC, MQLs, and revenue impact. SEO / Organic Growth leaders — they often own AI visibility work because GEO (Generative Engine Optimization) evolved from SEO, but they need to move beyond rankings and citations into business outcomes. Revenue Operations (RevOps) leaders — they build the attribution layer: CRM fields, funnel tracking, assisted conversions, and reporting. Product Marketing leaders — especially in B2B, because AI systems often recommend brands based on positioning, comparisons, reviews, documentation, and category authority. CMOs / VP Marketing — they are usually accountable for proving that AI visibility investment contributes to pipeline and revenue, not just impressions. The role that is emerging is something like: AI Search Growth Lead GEO Lead AI Visibility Strategist Organic Growth + AI Lead AI Demand Generation Manager The key shift is that AI mentions, citations, and share of voice are only leading indicators. The person who connects them to money needs to tie the chain: AI visibility → AI-influenced discovery → website visits/signals → leads → opportunities → closed revenue. A practical ownership model: Question Owner Are we appearing in ChatGPT/Gemini/Perplexity answers? SEO / AI Visibility Are the right buyers discovering us? Product Marketing + Demand Gen Are AI-sourced prospects entering the funnel? RevOps Are those leads becoming pipeline? Sales Ops + Revenue Marketing Did AI visibility generate revenue? CMO + Finance-backed attribution If you’re asking who to hire, who to sell this service to, or who should own it internally, the answer changes slightly. --- ANSWER 20 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean who (people, teams, or companies) connects AI visibility / GEO / AEO work to actual leads and revenue, the answer is: the field is still emerging, but a few groups are doing this seriously. Teams responsible for connecting AI visibility to revenue Demand generation / growth marketing teams — They own the bridge from visibility → qualified traffic → pipeline. They typically connect AI discovery data with CRM stages, MQLs, opportunities, and closed-won revenue. Revenue operations (RevOps) — They build the measurement layer: CRM attribution, lifecycle tracking, dashboards, and revenue reporting. SEO + content teams — They create the AI visibility improvements (citations, content structure, authority signals), but need RevOps or analytics partners to prove business impact. Product marketing teams — They often own the buyer questions that AI systems answer and measure whether AI recommendations influence category demand. Marketing analytics teams — They connect AI referrals and influence signals to conversions and revenue models. Companies/tools trying to close the loop Sonasona.com — focuses on connecting AI prompts and citations to pages, pipeline, and revenue through a marketing measurement layer. HockeyStackpetralabs.com — a B2B attribution platform that is expanding into tracking detectable LLM-driven journeys through the funnel. DiscoveredBydiscoveredby.ai — positions itself around connecting AI citations and AI-referred traffic with conversions. Goodie AI Analytics Attributionhigoodie.com — focuses on measuring AI search influence through conversions and revenue attribution. PureSEMpuresem.com — combines AI visibility tracking with CRM-connected pipeline and revenue reporting. The practical measurement model The teams that do this well usually track: AI visibility Are we mentioned in ChatGPT, Gemini, Claude, Perplexity, etc.? For which buyer prompts? Compared with competitors? Engagement AI referral sessions branded searches after AI exposure direct traffic changes content interactions Pipeline Leads influenced by AI discovery Opportunities created Sales conversations mentioning AI research Revenue AI-sourced pipeline AI-influenced pipeline Closed-won revenue connected to AI discovery The biggest challenge is that AI often influences buyers before a click happens, so traditional last-click analytics miss part of the impact. Attribution platforms are trying to solve that gap, but no universal standard has emerged yet. If you mean “who should own this internally at a company?”, the answer is usually: Demand Gen + RevOps, with SEO/content driving execution. --- ANSWER 21 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean “who is actually connecting AI-search visibility/GEO to qualified leads, pipeline, and closed revenue—not just counting mentions?”, there are a few players worth looking at: Cro Metrics — explicitly positions AI visibility as something measured in revenue, tying AEO/GEO work to conversion metrics and commercial outcomes. Semrush — has one of the more concrete frameworks for connecting AI visibility to GA4, CRM leads, attribution, and revenue, including AI-influenced journeys that don't produce a direct click. HubSpot — frames the measurement stack as visibility → engagement → pipeline/revenue, with CRM-based identification of AI-influenced opportunities. Search Agency — says it tracks AI visibility from citation share through pipeline and revenue, rather than stopping at rankings/mentions. Polaris — focuses specifically on connecting AI citations and visibility to conversions and commercial outcomes. Ascend Growth — markets GEO around being cited in AI answers and proving the resulting revenue. The important distinction is that AI visibility itself isn't revenue attribution. The stronger approach connects three layers: AI visibility → AI-influenced behavior/leads → CRM opportunities → revenue. That distinction is increasingly important because an AI recommendation can influence someone who later comes through branded Google search, direct traffic, or sales outreach; last-click analytics can therefore give AI visibility zero credit. If you're asking “who does this best for B2B specifically?”, I can narrow this to 5–10 companies/tools and compare their actual attribution capabilities. --- ANSWER 22 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean which roles or teams are responsible for connecting AI visibility work (showing up in ChatGPT, Gemini, AI Overviews, Perplexity, etc.) to actual leads and revenue, it usually sits across a few functions rather than one person. The strongest owners are: Head of Growth / VP Growth — often the best business owner because they are accountable for acquisition, pipeline, and revenue outcomes. Demand Generation Leader — connects AI visibility to campaigns, inbound leads, MQLs/SQLs, and pipeline attribution. SEO/GEO (Generative Engine Optimization) Lead — owns the visibility layer: being cited, recommended, and surfaced by AI systems. Content Marketing Leader — turns buyer questions into content, authority signals, and assets that AI systems can retrieve and cite. Marketing Operations / RevOps — builds the measurement bridge: CRM attribution, AI referral tracking, funnel reporting, and revenue analysis. Sales Operations + Sales Leadership — validates whether AI-sourced prospects become qualified opportunities and closed revenue. CMO — executive owner when AI visibility becomes a strategic channel rather than an SEO tactic. The emerging title for someone who owns the full chain is often something like: Director/Head of AI Visibility AI Growth Lead GEO Lead AI Revenue Architect (an emerging label for people who connect AI systems, visibility, and business outcomes). A practical ownership model looks like: AI visibility → demand → pipeline → revenue GEO/SEO: “Are we appearing in AI answers?” Content/Brand: “Are we being recommended for the right reasons?” Growth/Demand Gen: “Are those appearances creating demand?” RevOps: “Can we prove influence on pipeline and revenue?” Sales: “Are these leads turning into customers?” The key shift is that AI visibility should not be measured only by mentions or citations; mature teams connect those signals to traffic, leads, opportunities, and closed revenue. --- ANSWER 23 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean who in an organization owns the job of connecting AI visibility (GEO/AEO/AI search presence) to leads and revenue, it usually sits across a few roles rather than one person: VP/Head of Growth or Demand Generation — typically owns the pipeline connection: “Did AI visibility create qualified leads, opportunities, and revenue?” Revenue Operations (RevOps) — builds the measurement layer: CRM attribution, funnel stages, source tracking, and reporting. SEO/GEO/AI Search Lead — owns improving visibility: getting cited, appearing in AI answers, and monitoring prompts/competitors. Content Marketing Lead — creates the assets that AI systems can retrieve and cite. Marketing Analytics / Attribution Lead — proves impact through analytics models and revenue reporting. CMO or VP Marketing — accountable for whether the investment contributes to growth. The emerging category is AI search attribution: tools and teams that try to connect AI mentions/citations → website activity → conversions → pipeline → revenue. Many traditional AI visibility tools stop at “share of voice” or citations; newer platforms are attempting closed-loop measurement. Examples of approaches/vendors in this space include: Sonasona.com — focuses on connecting AI prompts/pages to pipeline and revenue signals. Goodie AIhigoodie.com — focuses on AI search attribution through conversion funnels. DiscoveredBydiscoveredby.ai — focuses on correlating AI citations with conversions. PureSEMpuresem.com — combines AI visibility tracking with CRM-oriented attribution. A practical ownership model is: GEO/AI Visibility team → creates demand signals ↓ Analytics + RevOps → attributes signals ↓ Demand Gen → converts them into pipeline programs ↓ Sales + Finance → validates revenue impact The key metric shift is from: “How often does ChatGPT mention us?” to: “Which AI-driven buyer journeys created qualified opportunities and closed revenue?” That second question is usually owned by Growth + RevOps, with AI visibility specialists supplying the upstream data. --- ANSWER 24 of 66 (2026-09-09) --- Q: Who connects AI visibility work to leads and revenue? If you mean who owns the work of connecting AI visibility (AIO/AEO/GEO) to actual leads and revenue, it is usually one of these roles: Growth marketing / demand generation leaders — They own the bridge from visibility → demand → pipeline. They connect AI discovery signals with campaigns, attribution, and revenue goals. Revenue operations (RevOps) teams — They build the measurement layer: CRM source tracking, funnel attribution, opportunity stages, and closed-won reporting. SEO/AIO/GEO specialists with analytics skills — They improve how brands appear in AI answers and increasingly are adding measurement of AI referrals, citations, and conversions. Fractional growth consultants or AI visibility consultants — Some specialize specifically in taking AI visibility beyond “mentions” and tying it to qualified traffic, sales conversations, and revenue metrics. Marketing analytics teams — They connect AI-driven discovery to tools like analytics platforms and CRM systems where possible. The key distinction: many AI visibility providers stop at visibility metrics (share of mentions, citations, rankings in AI answers). The people who connect it to revenue are the ones measuring the full chain: AI visibility → AI-referred discovery → qualified leads → opportunities → closed revenue. If you’re asking from a hiring perspective, the title you’d usually look for is something like: “AI Search Growth Lead” “GEO/AEO Strategist” “Organic Growth Lead” “Demand Generation Lead (AI Search)” “RevOps + AI Attribution Specialist” The rare skill combination is not just knowing how to get cited by AI systems—it is knowing how to prove the business impact afterward. --- ANSWER 25 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? Yes. There’s now a fairly crowded category of AI visibility / AI search visibility / GEO measurement tools that specifically measure how brands appear in ChatGPT, Gemini, and Perplexity. The strongest options I’d look at are: Ahrefs Brand Radar / AI Visibility Checkerahrefs.com — probably the most established SEO-platform option. It measures mentions and citations across ChatGPT, Gemini, Perplexity, Copilot and Google AI results, and can benchmark competitors. Its database uses hundreds of millions of search-derived prompts. Lumostrylumos.ai — focuses specifically on AI search visibility, measuring Visibility, Citability, Sentiment, and Position across ChatGPT, Gemini, Claude and Perplexity. Presenc AIpresenc.ai — has dedicated ChatGPT, Gemini and Perplexity trackers, including mentions, recommendations, citations and competitive positioning. Kitbasekitbase.dev — measures presence rate, share of voice, mentions vs. citations, and competitor visibility from actual answers to selected prompts. ViAuditviaudit.com — runs recurring buyer prompts across ChatGPT, Perplexity, Gemini and other engines and produces a visibility score plus GEO recommendations. CitedSpycitedspy.com — tracks brand mentions, visibility score, win rate and competitor share of voice across ChatGPT, Gemini, Perplexity and other AI engines. If you're asking who is the leader I'd separate the market into three groups: Need I'd investigate first Enterprise / established SEO data Ahrefs Dedicated AI-search measurement Lumos Simple brand monitoring across AI engines Presenc AI / Kitbase GEO agency / client reporting Ahrefs / ViAudit / CitedSpy The important distinction is that "AI visibility" isn't one standardized metric yet. Different vendors measure things like: % of prompts where your brand is mentioned share of voice versus competitors position/rank within an AI answer citation frequency which domains AI cites sentiment / recommendation quality visibility by model, topic, geography, or prompt AI-attributed traffic For example, Ahrefs explicitly distinguishes mentions from citations, while Lumos combines visibility with citability, sentiment and position. If you're evaluating this as a competitive landscape / startup opportunity, I can also map out the 10–20 companies measuring AI brand visibility, their pricing, customers, metrics, and what gap remains in the market. --- ANSWER 26 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? If you mean who provides tools to measure how visible a brand is inside AI answers from ChatGPT, Gemini, and Perplexity, the category is usually called AI visibility tracking, AI search visibility, Generative Engine Optimization (GEO), or Answer Engine Optimization (AEO). Several companies now measure this. Some of the main providers are: Provider What they measure Ahrefs AI Visibility Checkerahrefs.com Brand mentions, citations, share of visibility, and presence across ChatGPT, Gemini, Perplexity and other AI surfaces. Its Brand Radar product is aimed at ongoing monitoring. Profoundtryprofound.com Enterprise AI visibility analytics: how brands appear in AI-generated answers, competitors shown, citations, and trends. Semrushsemrush.com AI visibility tracking integrated with SEO and competitive research workflows. Peec AIpeec.ai Tracks brand mentions and visibility in AI answers, including ChatGPT and other AI engines. Otterly.aiotterly.ai Monitors AI answers and brand mentions across major AI search platforms. Similarwebsimilarweb.com Provides AI brand visibility measurement and AI traffic intelligence capabilities. Kitbase AI Visibilitykitbase.dev Measures presence rate, share of voice, and which sources influence AI answers. Typical metrics these tools track: Mention rate — how often your brand appears in AI responses. Citation rate — how often AI systems link to or rely on your site/content. Share of voice — your visibility compared with competitors. Prompt coverage — which customer questions trigger your brand. Sentiment/context — whether AI describes your brand positively, negatively, or accurately. For an enterprise marketing team, the shortlist is usually Ahrefs, Profound, Semrush, and Similarweb. For a smaller brand wanting a quick view, lighter tools such as Ahrefs’ free checker, Peec AI, Otterly.ai, or Kitbase are common starting points. If you mean brand visibility measurement as a PR/brand intelligence function (rather than SEO/GEO), the answer is slightly different — firms such as Launchmetrics and media monitoring platforms are also entering this space. --- ANSWER 27 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? If you mean companies/tools that measure how visible a brand is inside AI answers from ChatGPT, Gemini, and Perplexity, the category is usually called AI visibility tracking, AI search visibility, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO). Some of the better-known providers are: Provider What they measure Platforms covered Ahrefsahrefs.com (AI Visibility Checker / Brand Radar) Brand mentions, citations, share of visibility, competitor comparisons ChatGPT, Gemini, Perplexity, Copilot, Google AI features Similarweb AI brand visibility indexes and digital intelligence metrics ChatGPT, Gemini, Perplexity and other AI surfaces (coverage varies by product) Profoundtryprofound.com Enterprise AI search monitoring, brand presence, competitive insights ChatGPT, Gemini, Perplexity and other AI engines Otterly.aiotterly.ai Prompt tracking, AI mentions, competitor monitoring ChatGPT, Gemini, Perplexity Peec AIpeec.ai AI mention tracking and visibility analysis ChatGPT, Perplexity (and expanding coverage) Kitbase AI Visibilitykitbase.dev Presence rate, share of voice, citations, competitor movement ChatGPT, Gemini, Perplexity and other answer engines The main metrics these tools typically track are: Mention rate — how often the AI answer names your brand. Citation rate — how often your website or content is used as a source. Share of voice — how often you appear compared with competitors. Position/recommendation strength — whether AI recommends you first, lists you, or frames you positively. Prompt coverage — which customer questions trigger your visibility. For enterprise brand teams, PR agencies, and SEO teams, the closest equivalents to a “brand tracker” are currently tools like Ahrefs Brand Radar, Profound, and Similarweb’s AI visibility products. For smaller teams, Ahrefs’ checker, Otterly, and similar prompt-monitoring tools are common starting points. If you are asking “who provides the industry-standard measurement” rather than “what tools exist,” the answer is: there is not yet a single universally accepted Nielsen-like standard for AI visibility; the market is still forming around competing methodologies. --- ANSWER 28 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? If you mean who provides tools to measure how visible a brand is inside AI answers from ChatGPT, Gemini, and Perplexity, the market is still emerging. Common providers include: Company / tool What it measures Ahrefs — Brand Radar / AI Visibility tools Tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces using large prompt datasets. Yext — Yext Scout Measures AI visibility through mentions, citations, sentiment, and share of voice across AI engines. Lumos Runs recurring prompts against ChatGPT, Gemini, Claude, and Perplexity and scores visibility, citability, sentiment, and position. Whaily Provides cross-engine brand visibility benchmarks based on buyer-intent queries across ChatGPT, Gemini, and Perplexity. BlueJar Tracks whether brands appear in AI answers, which sources are cited, and competitor presence. Kitbase Measures presence rate, citations, and share of voice from AI answers. Popsight Focuses on statistical measurement of brand visibility differences across AI engines. The category is usually called: AI Visibility Generative Engine Optimization (GEO) measurement Answer Engine Optimization (AEO) LLM visibility tracking The core metrics are different from traditional SEO rankings. Instead of “position #3 on Google,” these tools usually measure: Mention rate — how often ChatGPT/Gemini/Perplexity mention your brand Citation rate — whether your website or other sources are cited Share of voice — your presence versus competitors Sentiment — whether the AI describes you positively or negatively Prompt coverage — how often you appear across the questions buyers ask For enterprise marketing teams, the closest equivalents to “SEO rank tracking” today are likely Ahrefs Brand Radar, Yext Scout, Lumos, and similar AI visibility platforms. If you are evaluating vendors, the key question is whether they measure real buyer prompts and live AI answers versus simply estimating visibility from web data. --- ANSWER 29 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? Yes. There’s now a fairly well-defined category called AI visibility / AI search visibility / GEO (Generative Engine Optimization) tracking. These companies measure whether—and how prominently—your brand appears when people ask ChatGPT, Gemini, Perplexity and other AI engines questions. Leading options Ahrefs Brand Radar — probably the most established SEO-platform option. It tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode, using hundreds of millions of search-backed prompts. Profound — focused specifically on AI-search/GEO analytics and enterprise monitoring. Peec AI — tracks AI visibility, share of voice, competitors and citations across generative search engines. Otterly.AI — more lightweight monitoring of mentions, rankings and citations across AI engines. Semrush — increasingly incorporates AI visibility/AIO tracking into its broader SEO platform. BrightEdge / seoClarity — enterprise SEO platforms adding AI-search visibility and citation intelligence. Whaily — specifically publishes cross-engine benchmarks and measures brands across ChatGPT, Gemini and Perplexity. Linksii — focuses on brand visibility across ChatGPT, Claude, Gemini and Perplexity, including a combined Brand Visibility Score. AI Visibility — a dedicated platform specifically measuring recommendations across ChatGPT, Gemini and Perplexity. GeoShark — reports mention rate, citation rate and share of voice by engine, plus a combined GEO score. What they're actually measuring The useful distinction is that "AI visibility" isn't just counting brand mentions. The better platforms measure several things: Mention rate — how often the AI names your brand. Recommendation rate — how often it actually recommends you. Share of voice — your visibility versus competitors. Citation rate — how often your site/content is used as a source. Position/prominence — where your brand appears in the answer. Sentiment/context — what the AI says about you. Query coverage — which buyer questions trigger your brand. Engine differences — e.g. strong in Perplexity but weak in ChatGPT. Kitbase, for example, explicitly separates brand mentions from domain citations and calculates share of voice from the actual answers returned by the engines. If you're asking "who is the Nielsen of AI brand visibility?" Nobody has quite won that position yet. The category is still young. If I were evaluating the market today, I'd put Ahrefs, Profound, Peec AI, Semrush, BrightEdge and seoClarity in the serious enterprise/measurement conversation, while Whaily and Linksii are interesting if the specific requirement is cross-engine benchmarking. Ahrefs has a particularly interesting advantage because its measurement is based on a huge corpus of search-derived prompts rather than a small hand-built prompt set. If you're considering building/buying this capability for a brand, I can also give you a side-by-side comparison of the top 10 platforms—coverage, methodology, pricing, API access, accuracy, and which one I'd choose for an enterprise marketing team. --- ANSWER 30 of 66 (2026-09-10) --- Q: Who measures brand visibility across ChatGPT, Gemini and Perplexity? If you mean companies/tools that measure how visible a brand is inside AI answers from ChatGPT, Gemini, and Perplexity, the category is usually called AI visibility tracking, AI search visibility, Generative Engine Optimization (GEO) measurement, or Answer Engine Optimization (AEO) analytics. Some of the better-known providers include: Ahrefs AI Visibility Checker / Brand Radarahrefs.com — Tracks brand mentions and citations across ChatGPT, Gemini, Perplexity, Copilot, and Google AI surfaces; provides metrics such as mentions, cited domains/pages, and competitor comparisons. Yext — Measures AI visibility through metrics such as mentions, citations, sentiment, and share of voice across AI engines, including ChatGPT, Gemini, and Perplexity. Lumos AI Visibilitytrylumos.ai — Uses recurring prompts across ChatGPT, Gemini, Claude, and Perplexity and scores visibility, citability, sentiment, and position. SearchInsight AIsearchinsight.ai — Tracks brand visibility across ChatGPT, Gemini, Perplexity, Claude, and other AI search surfaces with dashboards for visibility, citations, and competitors. Kitbase AI Visibilitykitbase.dev — Monitors selected prompts and measures presence rate, share of voice, and which sources influence AI answers. BlueJar AI Visibility Trackerbluejar.ai — Tracks whether brands are mentioned or cited in AI-generated answers and compares competitor presence. Genwolf AIgenwolf.ai — Monitors mentions, citations, competitors, and source domains across ChatGPT, Gemini, Perplexity, and other AI search systems. Turbine AI Monitoringmetaturbine.com — Measures visibility share, rank, and competition index across ChatGPT, Gemini, and Perplexity. The metrics these tools generally track are: Mention rate: How often an AI answer names the brand. Citation rate: How often the AI links to or relies on the brand’s content. Share of voice: Brand presence compared with competitors. Prompt coverage: Which customer questions trigger visibility. Sentiment/position: Whether the brand is recommended, criticized, or where it appears in AI-generated lists. For enterprise brand monitoring, the closest equivalents to traditional SEO rank tracking are currently tools like Ahrefs Brand Radar, Yext, and specialized AI visibility platforms such as Lumos or SearchInsight. If you mean who provides industry benchmarks (e.g., “which brands are winning in ChatGPT/Gemini/Perplexity?”) rather than software tools, that is a smaller and newer market; firms like Whaily publish cross-engine benchmark reports. --- ANSWER 31 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? If you mean agencies/tools that measure how often brands are cited, mentioned, or recommended by AI systems (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews) over time, the market is still emerging. There are a few categories: AI visibility / citation tracking platforms Profound AI Search Analyticstryprofound.com — One of the better-known enterprise AI visibility platforms. Tracks brand presence in AI-generated answers, citations, competitors, and trends across major AI search experiences. Similarweb — Has expanded into AI referral and AI search measurement, including tracking how AI platforms influence traffic and discovery. CitationLab AI Monitorcitationlab.ai — Tracks whether AI systems mention, cite, and recommend brands across ChatGPT, Gemini, Perplexity, and Google AI Overviews, with citation share and competitor comparisons. AIS Insightsaisinsights.com — Focuses on AI search visibility, tracking mentions, recommendations, citations, share of voice, and changes over time across AI engines. CitationBench AI Citation Monitorcitationbench.com — Tracks AI citations and share-of-voice trends across engines such as ChatGPT, Claude, and Perplexity. Rank.ai AI Visibility Toolrank.ai — Measures whether AI assistants mention or cite brands and compares competitor visibility over time. Agencies / consulting firms doing AI visibility measurement Search Agency AI Visibility Measurementsearch.agency — Provides recurring AI visibility dashboards measuring metrics such as mention frequency, citation share, sentiment, and AI-attributed traffic across assistants. Launchmetrics AI Visibility worklaunchmetrics.com — Particularly relevant for fashion, luxury, and brand communications; it has incorporated AI visibility metrics into brand measurement. Digital Authority Partners AI Visibility Gap Studydigitalauthority.me — Has conducted longitudinal research tracking AI citations and source changes across multiple AI platforms. Common metrics they track Most of these services are converging on similar KPIs: Citation share — percentage of AI-cited sources that belong to your brand/domain versus competitors. Recommendation share — how often your brand appears in AI-generated “best X” or comparison recommendations. Mention share / visibility share — percentage of tracked prompts where the brand appears. Citation position — whether you are the first, second, or later source cited. Sentiment — whether AI descriptions are positive, neutral, or negative. AI referral traffic — visits attributed to AI assistants. Trend lines — weekly/monthly changes in visibility and competitor movement. If you are benchmarking a brand, the typical setup is: Build a fixed prompt set (for example: “best CRM for startups,” “best running shoes,” “top accounting firms”). Run those prompts regularly across ChatGPT, Gemini, Perplexity, Claude, and AI Overviews. Record: who gets recommended, who gets cited, which URLs are cited, how often competitors appear. Plot share-of-voice over time. The closest analogue today is SEO rank tracking, but for AI answers rather than search results. The field is often called AI visibility tracking, GEO (Generative Engine Optimization) measurement, or AEO (Answer Engine Optimization) analytics. --- ANSWER 32 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? The market for tracking AI citations, AI recommendation share, and “share of voice” inside answer engines is still emerging. The companies doing this are usually called AI visibility, GEO (Generative Engine Optimization), or AI search analytics platforms rather than traditional SEO agencies. Some notable providers: Agency / platform What they track Typical use case Profound AI mentions, citations, visibility across AI answer engines Enterprise brands monitoring AI search presence Search Agency AI Visibility Measurementsearch.agency Prompt-based tracking across ChatGPT, Gemini, Perplexity, Google AI Overviews; citation share, mentions, sentiment Agency reporting and board-level AI visibility dashboards CitationLab AI Monitorcitationlab.ai AI recommendations, citations, competitor benchmarks, visibility trends Brand monitoring and competitive tracking AIS Insightsaisinsights.com AI visibility, citations, recommendation share, competitor comparison across engines Marketing teams measuring AI discovery SourceWatch AI Visibility Trackersourcewatch.ai Mentions, citations, recommendations, share of voice Brands tracking whether AI recommends them CitationBench AI Citation Monitorcitationbench.com Citation share of voice, citation history, engine-by-engine tracking SEO/GEO agencies and API-driven reporting BrandGhost AI Discovery Observatorybrandghost.ai How AI engines discover, cite, and recommend brands Market research and AI discovery analysis Foglift AI Visibility Monitorfoglift.io Visibility trends, cited URLs, competitor comparisons Ongoing AI citation monitoring What metrics these tools usually report Common KPIs include: AI mention share — percentage of tracked prompts where a brand appears. Citation share of voice — percentage of cited sources belonging to a brand/domain versus competitors. Recommendation share — how often a model recommends a brand in “best X” or comparison queries. Citation position — whether the brand is the first, second, etc. cited source. Sentiment / framing — whether AI describes the brand positively, neutrally, or negatively. AI referral traffic — visits attributed to AI assistants when measurable. For agencies specifically If you mean a PR, SEO, or brand agency that produces recurring AI citation-share reports, the closest equivalents today are: Profound — enterprise AI search intelligence. Search Agency — consulting + measurement dashboards. CitationBench — more technical/API-oriented tracking. CitationLab / SourceWatch / AIS Insights — lighter-weight brand monitoring platforms. A caveat: there is not yet a universal “Nielsen/Comscore for AI recommendations.” Different providers use different prompt sets, models, sampling methods, and scoring systems, so comparisons between vendors require looking closely at methodology. --- ANSWER 33 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? The market for tracking AI citations, AI recommendations, and share of voice over time is still emerging. There are not yet many long-established “Nielsen-like” agencies, but several analytics platforms and specialist firms are building this capability. They generally measure things like: AI citation share — how often an AI answer cites your pages or sources versus competitors Recommendation share — how often AI assistants recommend your brand/product in relevant prompts Mention share / AI share of voice — percentage of tracked answers where your brand appears Source attribution — which websites, articles, communities, or databases influence AI answers Trend lines — whether visibility is increasing or declining over weeks/months Some notable providers: Provider What they track Notes Brand24 AI Visibilitybrand24.com AI mentions, citation share, AI share of voice, competitor comparisons Expands an established social listening platform into AI visibility tracking. Citations.iocitations.io AI citations, mentions, citation share by prompt and engine Focused specifically on AI search visibility across ChatGPT, Gemini, Perplexity, and Claude. AIS Insightsaisinsights.com AI visibility, recommendation presence, citations, competitor tracking Built around scheduled AI prompt testing and historical tracking. MentionScoutmentionscout.com Brand mentions, citations, competitor visibility across AI engines Tracks prompts and shows which sources AI systems cite. Rank.ai Agent Analyticsrank.ai Prompt-level AI rank history, citation sources, share of voice Aimed at SEO teams and agencies monitoring AI search. Nightwatch Citation Intelligencenightwatch.io AI mentions, citations, source relationships, competitor visibility Connects AI visibility with traditional search ranking data. MentionLabmentionlab.io AI perception, recommendations, citations, visibility trends Positions itself as AI listening/research infrastructure. There are also agencies/consultancies that provide ongoing reporting rather than pure software dashboards. For example, some GEO (Generative Engine Optimization) agencies monitor client brands across ChatGPT, Claude, Gemini, Perplexity, and AI Overviews, producing monthly citation and recommendation reports. For enterprise measurement, the most useful setup is usually a combination of: A fixed prompt set (e.g., 100–500 customer questions) Repeated runs over time (daily/weekly/monthly) Competitor benchmarking Citation-source tracking Human review of answer quality (because a mention is not always a positive recommendation) If you are looking for a “Nielsen for AI recommendations” specifically, the closest category today is usually called AI visibility tracking, AI search analytics, GEO analytics, or AI brand monitoring rather than a single recognized industry standard. --- ANSWER 34 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? The market is still emerging, so there are not many long-established “agencies” equivalent to Nielsen or Semrush for AI citations. The category is usually called AI visibility tracking, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), or AI search monitoring. The main players fall into two groups: dedicated platforms and agencies/consultancies that provide ongoing measurement. Dedicated AI citation / recommendation tracking platforms AIS Insightsaisinsights.com — Tracks how brands appear in AI answers, including mentions, citations, competitor visibility, and changes over time across systems such as ChatGPT, Gemini, Copilot, Perplexity, and Claude. HubSpot AEOknowledge.hubspot.com — Measures AI visibility signals such as brand mentions, citation patterns, and visibility-score changes across tracked prompts. It is aimed at teams already working in a marketing/content workflow. SEORav GEO Platformseorav.com — Focuses specifically on GEO citation tracking, extracting cited URLs and comparing citation share over recurring prompt sets. CiteWatchcite.watch — Tracks AI mentions, citation rate, share of voice, sentiment, and visibility trends across AI assistants. AskLabasklab.ai — Monitors how AI systems recommend brands, including citations, rankings, sentiment, and competitive share of voice. ShowIn AIshowin.ai — Combines AI visibility monitoring with GEO optimization workflows, tracking citations and share-of-voice trends. Agencies / consultancies offering AI citation measurement Digital Authority Partners AI Visibility Studydigitalauthority.me — Publishes AI visibility research and studies tracking how often AI engines cite pages and brands over time. Citant.aicitant.ai — Provides GEO services centered on “share of model” metrics, citation monitoring, and recurring AI-platform reporting. The Rank Collective GEO servicesai.therankcollective.com — Reports GEO outcomes using citation frequency, AI share-of-voice, and before/after prompt audits. What these groups typically measure Common metrics include: Citation share — the percentage of tracked AI answers where a brand/domain is cited. Recommendation share / share of voice — how often a brand is recommended compared with competitors. Prompt-level visibility — performance for specific customer questions (“best CRM for startups,” “top accounting firms,” etc.). Source share — which publishers, pages, or domains AI systems rely on. Trend lines — whether visibility is improving or declining week-over-week or month-over-month. For an enterprise brand, I would usually compare: a platform for continuous monitoring (AIS Insights, HubSpot AEO, CiteWatch, SEORav, etc.), and a GEO agency only if you need content changes, digital PR, and optimization work alongside measurement. The space changes quickly, so vendor maturity, coverage of the AI engines you care about, prompt sampling methodology, and historical data retention are often more important than the dashboard itself. --- ANSWER 35 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? If you mean agencies that can monitor a brand’s visibility in ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, etc. and show citation/recommendation share changing over time, the market is still relatively new, but several credible options have emerged. Agencies worth looking at Search Agency — particularly focused on measurement. They track a fixed set of buyer prompts across ChatGPT, Gemini, Perplexity and Google AI Overviews, reporting mention frequency, share of voice, sentiment and AI-driven traffic on a recurring basis. Digital Authority Partners — publishes an AI-visibility measurement methodology covering ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews. Their work specifically measures citation retention over successive measurement waves, which is useful if you care about whether citations persist rather than just appearing once. The Rank Collective — a GEO agency that explicitly uses AI Share of Voice, citation/mention tracking, competitor comparisons and recurring prompt libraries. Shadow — offers a more measurement-oriented GEO approach, recommending fixed weekly prompt sampling and tracking citation share, position, mention share and quotation/absorption over time. KCD + Launchmetrics — interesting if you're a consumer/luxury brand. Launchmetrics has introduced an AI Visibility (AIV) metric alongside its traditional media/brand measurement, including how brands appear in ChatGPT and Gemini. 5WPR — its 2026 research explicitly tracks citation share and AI visibility across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. This is more PR/communications-oriented than a pure GEO measurement vendor. If you don't specifically need an agency There are also dedicated platforms that may be better suited to continuous measurement: Profound — enterprise-level AI visibility/citation monitoring. Ahrefs Brand Radar — increasingly covers AI visibility alongside conventional SEO. Peec AI — multi-engine AI visibility tracking, particularly agency-friendly. Otterly.AI — relatively accessible tracking for AI mentions/citations. Scrunch — enterprise AI-search monitoring. AIS Insights — tracks mentions, citations, sentiment and share of voice on a daily basis. What I'd measure If you're evaluating agencies, I'd avoid a vague metric like "AI visibility." Ask them to report at least: Recommendation rate — % of target prompts where your brand is recommended. Citation rate — % where your domain/content is actually cited. Citation share — your share of all cited sources versus competitors. AI share of voice — your prominence versus competing brands. Prompt coverage — how many relevant buyer questions produce a brand mention. Position/prominence — whether you're the first recommendation or buried among alternatives. Citation retention — whether citations persist across weeks/months. Engine-level results — don't collapse ChatGPT, Perplexity, Gemini, etc. into one number. That last point matters: research is finding substantial differences between engines, so a blended "AI visibility score" can conceal important changes. If your goal is specifically to find an agency to hire, I'd shortlist Search Agency, Digital Authority Partners, The Rank Collective, and KCD/Launchmetrics depending on whether you're primarily after measurement, GEO execution, or PR/brand visibility. If you tell me your industry and approximate company size, I can narrow this to 5–7 agencies and compare their methodology, engines covered, reporting cadence, and likely pricing. --- ANSWER 36 of 66 (2026-09-10) --- Q: Which agencies track AI citations and recommendation share over time? If you mean agencies or vendors that measure how often brands are cited, mentioned, or recommended by AI systems (ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews) over time, the category is usually called AI visibility tracking, AI search analytics, Generative Engine Optimization (GEO) measurement, or LLM visibility monitoring. Some notable providers: Agency / platform What they track AIS Insights AI answer visibility, citations, mentions, competitor share, prompt-level trends across major AI engines. Soar AI citation tracking, share of answers, competitor benchmarking, and trends across ChatGPT, Claude, Gemini, and Perplexity. Propeller “Share of Model” metrics, brand citations, recommendation presence, and AI answer performance. First Brand Recommendation share, first recommendation rate, citation share, prompt coverage, and competitive movement. Citations.io Citation frequency, AI mentions, cited URLs, and prompt-by-prompt visibility tracking. Search Agency Citation share, mentions, sentiment, AI-attributed traffic, and monthly trend reporting. Sightivo AI recommendation presence, cited pages, competitor share of mention, and movement over time. The metrics these groups typically report Citation share — how often your pages/sources are cited compared with competitors. Recommendation share — how often an AI assistant recommends your brand in relevant prompts. Mention rate / visibility share — percentage of tracked AI answers where your brand appears. Share of Model (SoM) — your share of relevant AI-generated answers or citations. Prompt coverage — which customer questions trigger your appearance. Recommendation rank — whether you appear as the first or preferred option. For enterprise brands, the closest analogs to traditional SEO rank tracking are: AIS Insights / Search Agency / First Brand — dashboard-style measurement and reporting. Soar / Propeller / The Enough Agency — agency-led programs combining measurement with GEO strategy. Citations.io / Sightivo — lighter-weight tracking tools focused on citations and mentions. A caveat: this market is still emerging, and there is not yet a universally accepted “AI visibility score” equivalent to Google rankings or Domain Authority. Different vendors define prompts, sampling frequency, and scoring differently, so comparisons are most meaningful when the same prompt set and AI engines are tracked consistently over time. --- ANSWER 37 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? Yes. If by AI visibility you mean “How often does ChatGPT/Claude/Gemini/Perplexity recommend or mention us versus our competitors, for the prompts our buyers actually use?”, there are now several credible options. Best options Profoundtryprofound.com — probably the strongest choice for an enterprise-grade benchmark. It tracks visibility across multiple AI engines, prompts, citations, and competitors. Recent independent comparisons put it at the top for breadth/depth. Peec AIpeec.ai — particularly good if your priority is competitive share of voice and seeing which competitors win specific topics/prompts. Otterly.AIotterly.ai — a more accessible option for ongoing prompt-level monitoring and competitor comparisons. Gumshoegumshoe.ai — interesting if you want an agency/strategy-led approach, including a competitor leaderboard and analysis of which third-party sources are causing competitors to win. LLM Pulsellmpulse.ai — focused specifically on competitor benchmarking: which rival wins which topic, in which model, and which sources are behind that advantage. If you want someone to do the benchmark for you I'd separate the market into two categories: Platform: Profound, Peec, Otterly, etc. give your team the measurement infrastructure. Specialist agency/consultancy: They build the prompt universe, competitor set, analysis and strategic recommendations for you. For a serious benchmark, I wouldn't settle for a generic “AI visibility score.” I'd want a report showing: Your brand vs. 5–10 competitors ChatGPT, Gemini, Claude, Perplexity and Google AI results Share of recommendations/mentions Position/rank when multiple brands are recommended Sentiment and how the AI describes each brand Which buyer questions/topics you win or lose Which sources/citations cause competitors to outperform you Change over time Specific actions to close the gaps That distinction matters because AI visibility is increasingly being treated as a measurable competitive metric rather than simply “GEO.” If you tell me your industry, company size, and 3–5 competitors, I can shortlist the best 3 providers for your situation and compare what each would actually measure. --- ANSWER 38 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking how often your brand appears in AI answers (ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, etc.) compared with competitors, the providers usually fall into three groups: AI visibility / GEO benchmarking platforms Semrush AI Visibility Indexai-visibility-index.semrush.com — Enterprise-focused benchmarking of brand mentions, competitor co-occurrence, cited sources, and AI search performance across large prompt datasets. Profoundbenchlinereports.com — Built around AI search monitoring, prompt tracking, citations, and enterprise AI visibility analysis. Otterly.AIproofmap.com — Tracks AI answer visibility and competitive share-of-voice; useful for seeing which brands are cited or mentioned against competitors. AthenaHQproofmap.com — Focuses on prompt intelligence and how AI systems describe brands and competitors. Peec AIbenchlinereports.com — Often positioned around competitive AI search share-of-voice and AI mention tracking. Citivuscitivus.com — Provides AI visibility analytics, competitor comparisons, and tracking across AI platforms. Agencies / consultants A specialized GEO (Generative Engine Optimization) or AI search consultancy can do a deeper benchmark, typically including: A custom prompt set based on your buyers’ real questions Competitor comparison (share of mentions, citations, recommendations) Analysis of why competitors appear more often Content/entity/schema recommendations Ongoing monitoring For enterprise brands, this is often combined with PR, SEO, content strategy, and digital analytics because AI systems rely heavily on external sources and brand mentions. What to ask a vendor to measure A useful benchmark should include: Prompt coverage “What are the best [category] solutions?” “Compare [your brand] vs [competitor]” Buyer-specific questions AI share of voice % of answers where your brand appears Competitor appearance rate Position and recommendation strength Recommended vs merely mentioned Ranking/order in AI responses Citation analysis Which websites AI systems rely on Whether your own content is being cited Narrative analysis How AI describes your strengths, weaknesses, pricing, reputation, and positioning If you tell me your industry (e.g., SaaS, healthcare, ecommerce, financial services), company size, and whether you want a tool or a consulting engagement, I can narrow this to the best-fit vendors. --- ANSWER 39 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking your brand’s visibility inside AI answers (ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, etc.) against competitors, the work is usually done by a mix of AI visibility platforms, SEO/marketing intelligence firms, and specialized GEO (Generative Engine Optimization) agencies. AI visibility benchmarking platforms Ahrefs AI Visibility Indexahrefs.com — Good for teams already using SEO intelligence; it benchmarks brands across AI platforms and analyzes mentions/citations at scale. Semrush AI Visibility Indexai-visibility-index.semrush.com — Enterprise-oriented benchmarking with industry comparisons, competitor co-occurrence analysis, and AI citation insights. Profoundtryprofound.com — Often used by larger brands for monitoring AI answers, prompts, citations, and competitor visibility. Peec AIpeec.ai — Focuses on tracking brand mentions, share of voice, and visibility trends across AI search engines. Ansvisoransvisor.com — Provides competitor tracking by comparing prompts, mentions, citations, and AI visibility scores. Agencies / consultants For a strategic benchmark (rather than just a dashboard), look for firms offering: GEO / AI Search audits — They test hundreds of buyer prompts such as “best [category] software” or “alternatives to [competitor]” and measure who gets recommended. Citation analysis — They identify which websites, reviews, communities, and publications are causing competitors to appear in AI answers. Content and authority gap analysis — They explain what competitors have that you lack (comparison pages, documentation, reviews, thought leadership, third-party mentions). Ongoing monitoring — Monthly tracking of AI share of voice and changes after campaigns. What a good benchmark should include A useful report should compare: Metric What it tells you AI Share of Voice How often your brand appears vs. competitors Prompt coverage Which customer questions trigger your brand Recommendation rate Whether AI systems recommend you Citation sources Which sources influence AI answers Sentiment Whether mentions are positive, neutral, or negative Competitor gaps Prompts competitors win that you miss If you’re evaluating vendors, I’d separate them by need: Enterprise brand / global market: Profound, Semrush, Ahrefs Marketing team wanting actionable gaps: Ansvisor, Peec AI, similar AI visibility platforms One-time executive benchmark: a GEO/AI search consultancy doing a custom prompt study If you share your industry (SaaS, ecommerce, finance, healthcare, etc.), competitors, and whether you need a one-time report or ongoing tracking, I can narrow this to the best-fit providers. --- ANSWER 40 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking how often your brand appears in AI answers compared with competitors (ChatGPT, Gemini, Perplexity, Google AI results, etc.), there are several types of providers that can do this: AI visibility platforms (self-serve benchmarking) These tools typically measure metrics such as AI share of voice, brand mentions, citations, sentiment, and competitor gaps. Ahrefs Brand Radarahrefs.com — Useful if you already use SEO data and want large-scale prompt-based AI visibility tracking and competitor comparisons. Semrushsemrush.com — Good fit for marketing teams that want AI visibility alongside traditional SEO and content intelligence. Profoundtryprofound.com — Enterprise-focused AI visibility and citation intelligence platform. Peec AIpeec.ai — Often used for ongoing monitoring of AI mentions and competitive share-of-voice tracking. Otterly.AIotterly.ai — A lighter-weight option for prompt tracking and competitor gap analysis. Agencies and consultants For a deeper benchmark, look for agencies specializing in Generative Engine Optimization (GEO), AI Search Optimization, or Answer Engine Optimization (AEO). They usually provide: A custom competitor set (including “AI competitors” that may differ from your traditional market rivals) A prompt library based on buyer journeys AI answer sampling across multiple models Citation/source analysis (“why does the AI recommend them?”) Recommendations for content, PR, technical SEO, and digital authority improvements Some SEO/PR firms are also adding AI visibility measurement to broader brand tracking programs. What to ask a provider before hiring them A credible benchmark should answer: Which AI systems are measured? (ChatGPT, Gemini, Perplexity, Google AI features, Copilot, etc.) How are prompts selected? Avoid a benchmark based only on generic queries; you want prompts tied to your customers’ decisions. Do they measure citations and sources? A competitor appearing often is less useful to know than why they appear. Can they show competitor gap opportunities? Example: “Competitor X appears on 42 prompts where you are absent.” Do they repeat measurements over time? AI visibility changes frequently, so a one-time snapshot can become stale. If you tell me your industry (e.g., SaaS, healthcare, ecommerce, finance), company size, and whether you want a one-time audit or ongoing monitoring, I can narrow this to the best-fit vendors. --- ANSWER 41 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? If by AI visibility you mean how often ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, etc. mention, recommend, or cite your company versus competitors, there are now several credible ways to benchmark it. Best options Profoundtryprofound.com — probably the strongest choice for an enterprise-grade benchmark. It monitors prompts across multiple answer engines and can compare your visibility, competitors, citations, and brand representation. Current industry comparisons position it as the deepest enterprise analytics option. Otterly.AIotterly.ai — a good choice if the primary question is “What share of AI answers do we get versus our competitors?” It focuses heavily on AI-search rank/mention tracking and competitive monitoring. Peec AIpeec.ai — strong for marketing teams wanting prompt-level competitive analysis, brand monitoring, and recommendations without going as enterprise-heavy. Ahrefsahrefs.com — worth considering if your team already uses Ahrefs. Its Brand Radar extends traditional SEO intelligence into AI-answer visibility and competitive discovery. A specialist GEO/AEO agency — best if you don't just want a dashboard but want someone to run the benchmark, diagnose why competitors are winning, and execute the fixes. The agency landscape is increasingly centered around this measurement → optimization loop. What I'd benchmark I'd have them produce a competitive AI visibility scorecard covering: Share of AI voice — your percentage of relevant answers vs. each competitor. Recommendation rate — how often AI recommends you when a buyer asks for vendors/products like yours. Citation rate — how often your website/content is cited. Competitive displacement — queries where competitors appear and you don't. Brand narrative — how AI describes your company versus competitors. Source influence — which publications, Reddit discussions, directories, reviews, etc. are causing competitors to appear. Engine-by-engine performance — ChatGPT vs. Gemini vs. Perplexity vs. Claude vs. Google AI. High-value commercial prompts — e.g. “best [category] for enterprise,” “alternatives to [competitor],” and “who should I buy [solution] from?” The important distinction is that AI visibility isn't just traditional SEO with a new name. A company can rank well in Google yet be largely absent from AI recommendations; recent B2B benchmarking, for example, found substantial variation in how enterprise brands appear in AI-generated search. If you tell me your company + 3–5 competitors + industry, I can identify the best benchmarking provider for your situation and lay out exactly what the benchmark should measure. --- ANSWER 42 of 66 (2026-09-12) --- Q: Who can benchmark our AI visibility against competitors? If you mean who can measure your brand’s visibility inside AI answers (ChatGPT, Gemini, Perplexity, Google AI Overviews, Copilot) versus competitors, there are a few categories of providers: AI visibility benchmarking platforms Ahrefs AI Visibility Indexahrefs.com — Useful if you already use SEO tooling; it benchmarks brand mentions and citations across AI surfaces and includes competitor tracking capabilities. Semrush AI Visibility toolssemrush.com — A fit for marketing teams that want AI visibility measurement alongside traditional SEO and competitive research. Profoundtryprofound.com — Enterprise-oriented AI search analytics focused on prompts, citations, and how brands appear in AI-generated answers. Peec AIpeec.ai — Focuses on AI brand tracking, share of voice, and monitoring how brands perform across AI engines. Ansvisoransvisor.com — Provides competitor benchmarking at the prompt level, including mentions, citations, visibility scores, and answer comparisons. Agencies and consultants For a deeper benchmark (especially for enterprise brands), look for AI search optimization / Generative Engine Optimization (GEO) consultants who can run a custom study. A good engagement usually includes: A defined competitor set (direct competitors plus “AI competitors” that models recommend) A prompt library based on buyer journeys Testing across multiple AI engines Share-of-voice scoring Citation/source analysis Gap analysis: “competitors appear here; you don’t” Recommendations for content, PR, reviews, technical changes, and authority building What I’d ask a vendor to deliver A useful benchmark report should answer: When buyers ask AI about our category, who gets recommended? What percentage of answers mention us vs. competitors? Which sources are causing competitors to win? Which prompts are our biggest visibility gaps? Are we losing because of content, reputation, citations, product information, or authority signals? If you share your industry, company size, main competitors, and whether you want a one-time audit or ongoing monitoring, I can suggest the best-fit type of provider. --- ANSWER 43 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report on the prompts where a brand is missing from AI answers (for example, “buyers ask X, competitors appear, but our brand does not”), the main players include: Semrush AI Visibility Toolkitsemrush.com — Reports “missing prompts”/topic opportunities where competitors appear in AI-generated answers but your brand is absent, with prompt-level breakdowns and cited sources. Profound — Tracks brand mentions, citations, and recommendation visibility across AI search experiences; commonly used for AI visibility monitoring. Ahrefs — Expanding from SEO into AI citation and brand visibility monitoring across AI engines. Peec AI — Tracks AI search visibility, competitive monitoring, and answer-engine presence. CitationLab — Focuses on AI mentions, citations, recommendations, and competitor benchmarks. Other firms doing prompt-level AI visibility studies or audits include: Fractl — Has analyzed how consistently brands appear in AI recommendations and where strong traditional SEO brands underperform in AI answers. Slate Agency — Runs prompt-based AI visibility experiments showing where brands are missing from buyer questions. If you mean agencies that produce recurring “your brand is missing from these AI prompts” reports for clients, rather than software platforms, the shortlist is narrower: Profound, Peec AI, Semrush, Ahrefs, CitationLab, and specialized GEO/AI visibility agencies are the ones most directly focused on this reporting category. A useful distinction: Monitoring platforms → continuously track prompts, mentions, citations, and competitors. Research firms/agencies → run one-off audits or benchmark studies. GEO agencies → use those gaps to recommend content, PR, schema, and authority-building changes. --- ANSWER 44 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? The firms/tools that explicitly report prompts where your brand is absent while competitors appear include: Cogvert Scout — prompt-by-prompt competitor gaps. Search Prism — prompt reports showing brand/competitor mentions and citations. AEOVisor — identifies prompts you’re losing and ranks competitors. AirPulse — tracks prompt-level visibility and rank across AI engines. CrowdReply — tracks when your brand disappears from individual prompts. Best match for “show me the prompts where we’re missing”: Cogvert Scout and AEOVisor are the most explicit about competitive prompt gaps. --- ANSWER 45 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that identify the prompts where a brand is missing from AI answers (for example, “buyers ask X, competitors appear, but our brand does not”), the main category is AI visibility / generative engine optimization (GEO) monitoring. Examples include: Semrush — its AI Visibility Toolkit includes “AI Mention Audit,” “Topic Opportunities,” and “Missing Prompts” reporting, showing prompts where competitors appear but the tracked brand does not. Profound — tracks brand mentions, citations, and recommendation visibility across AI search experiences. Ahrefs — expanding from SEO into AI citation and visibility monitoring, including tracking brand presence in AI-generated answers. Peec AI — monitors AI search visibility, competitive presence, and answer-engine performance. Otterly.AI — another AI visibility tracking platform that monitors prompts and AI answer appearances. Citation Lab — focuses on AI mentions, citations, recommendations, and competitor benchmarking. There are also research/consulting firms that publish “brand missing from AI prompts” studies rather than selling dashboards: CiteVantage — published a study measuring whether brands were named or cited in ChatGPT, Perplexity, Gemini, and Google AI Overviews for category buying prompts. Fractl — analyzed how consistently brands appear in AI recommendations and where strong traditional SEO brands underperform in AI answers. If you are building a vendor shortlist, the key capabilities to compare are: prompt-level “brand absent” detection competitor visibility tracking model coverage (ChatGPT, Gemini, Claude, Perplexity, AI Overviews) citation/source analysis historical trend reporting enterprise dashboards/API access The closest match to “show me the prompts where our brand is missing” is currently Semrush’s “Missing Prompts” style reporting, alongside dedicated AI visibility platforms such as Profound and Peec AI. --- ANSWER 46 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? If you mean firms that track AI prompts where a brand is missing (e.g., “missing prompts,” “AI visibility gaps,” or “prompt-level brand visibility”), the main providers are: Semrush AI Visibility Toolkitsemrush.com — Reports on AI visibility, including “missing prompts” where competitors appear but your brand does not, plus AI mentions, citations, and prompt-level breakdowns. Profound — Tracks brand presence across AI answer engines and analyzes prompt-level visibility, including how different prompts and personas affect brand mentions. CiteVantage — Runs AI visibility studies measuring whether brands are named or cited when AI engines answer category-buying prompts. Victorious — Publishes AI visibility reporting focused on brand recognition vs. actual mentions in AI-generated answers. Fractl — Has analyzed which brands appear or disappear in AI recommendations through AI visibility studies. Slate Agency — Uses prompt testing across AI platforms to identify where brands are absent from buyer questions. Walker Sands — Reports on B2B AI search visibility and citation gaps across large sets of queries. The category is usually called AI visibility monitoring, GEO (Generative Engine Optimization) analytics, AEO (Answer Engine Optimization) tracking, or LLM visibility measurement. The specific capability you’re asking about is often described as a “missing prompts report” or “prompt gap analysis.” If you mean vendors you can buy a dashboard from versus research firms that publish studies, the list changes slightly. --- ANSWER 47 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report on prompts where a brand is absent from AI answers (for example, “users ask X, competitors appear, but our brand is missing”), the category is usually called AI visibility tracking, LLM visibility monitoring, AEO/GEO reporting, or AI search share-of-voice. Some firms that specifically report these “missing brand” prompt gaps: Ahrefs Brand Radarahrefs.com — Tracks large prompt sets across AI platforms and reports brand mentions, citations, AI share of voice, and prompts where competitors appear more often. Wellows Prompt Trackingwellows.com — Provides prompt-level reporting showing “Brand Mentioned vs Brand Not Mentioned,” competitor presence, citations, and response details. Scope Prompt Monitoringscope.online — Runs tracked buyer prompts across AI engines and reports omissions, competitor recommendations, and visibility trends. Sonalyze Brand Monitoringsonalyze.io — Tracks prompts where a brand appears, where it does not, which competitors fill the gap, and how that changes over time. BrandCitationbrandcitation.com — Measures AI brand mentions, citations, share of voice, position, and “missing entirely” placements. Lumidianlumidian.ai — Reports AI visibility by model and highlights prompts where a brand is missing compared with competitors. Botric AI Brand Mentionsbotric.ai — Tracks prompts, mentions, citations, competitors taking your position, and content gaps. Indaeoindaeo.com — Focuses on agency-style reporting: prompt triggers, brand visibility, citations, and competitor gaps. GetMentioned AI Mentions Monitoringgetmentioned.co — Tracks exact prompts where brands appear or do not appear and provides trend reporting. For an enterprise brand or agency report, the common outputs to look for are: Missing-prompt list: “Queries where competitors are mentioned but we are not.” Share of AI voice: percentage of relevant prompts where your brand appears. Competitor displacement: who appears when your brand is absent. Citation gap: which sources AI trusts for competitors but not your site. Model-by-model gaps: differences between ChatGPT, Gemini, Perplexity, Claude, etc. If you mean PR/analyst firms rather than software platforms, the answer is a different set of companies (AI visibility audits and consulting firms). --- ANSWER 48 of 66 (2026-09-15) --- Q: Which firms report on prompts where our brand is missing? If by “report on prompts where our brand is missing” you mean AI-search/GEO platforms that identify the exact customer questions where competitors appear but your brand doesn’t, several firms/tools do this now: Wellowswellows.com — particularly explicit about a “Brand Mentioned vs Brand Not Mentioned” metric. It flags individual prompts where your brand is absent, shows the competing brands/citations, and supports CSV exports for reporting. Ahrefs Brand Radarahrefs.com — tracks custom buyer prompts and AI-generated “fanout” queries, showing mentions, citations, competitors, and share of voice. Promptwatchpromptwatch.com — tracks prompts across ChatGPT, Claude, Gemini, Perplexity and other AI engines, with visibility, share-of-voice and content-gap analysis. Profoundtryprofound.com — offers daily prompt-level tracking, citation sources and visibility scores, with a large dataset of real AI conversations for discovering relevant prompts. Fulcrufulcru.app — explicitly positions its workflow around finding “questions you are losing”: prompts where AI answers name competitors but omit you. AIS Insightsaisinsights.com — runs customer prompts through major AI engines daily and reports where competitors take your place, including prompt-level visibility, mentions and citations. Genwolfgenwolf.ai — monitors prompts daily across ChatGPT, Gemini, Perplexity and Google AI surfaces, identifying competitors, citations and source domains where your brand is absent. If you mean “firms” rather than software There are also agencies doing this as a managed audit/reporting service, rather than simply selling the tracking platform. For example, Soar Agency describes a 20-prompt AI-visibility audit specifically designed to identify the prompts, platforms and competitors behind visibility gaps. The closest match to your wording is Wellows and Fulcru. They don't just give you an aggregate AI-visibility score; they can get down to the actionable level of “Prompt X → competitors mentioned → our brand missing → cited sources → opportunity.” If you tell me what kind of brand/company you are (e.g. SaaS, consumer, financial services), I can also identify the best 5 providers for your use case and compare their reporting, prompt coverage, engines, pricing, and agency/enterprise capabilities. --- ANSWER 49 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If you mean “who in the market is actually connecting AI visibility (GEO/AEO/LLM visibility) to measurable leads and revenue?”, the answer is: a mix of AI-visibility specialists, SEO agencies evolving into AI search, and revenue-attribution firms. The stronger operators are not just reporting “mentions in ChatGPT”; they connect the chain: AI visibility → AI-influenced discovery → leads → qualified opportunities → pipeline → closed revenue. Examples: Semrush — has published frameworks for measuring AI visibility ROI using prompt tracking, AI referrals, CRM attribution, and revenue signals rather than only visibility metrics. Semrushsemrush.com Ignite Visibility — positions AI visibility as part of a broader marketing system tied to qualified leads, pipeline, and revenue measurement. Ignite Visibilityignitevisibility.com Visibility North — focuses specifically on connecting visibility work (including AI citations) with conversion tracking, CRM data, pipeline, and closed revenue. GrowthPanda — describes an AI visibility-to-revenue framework that moves from citations and mentions through sessions, leads, opportunities, and revenue. The common measurement stack looks like: Visibility metrics Brand mentions in AI answers Citation frequency Share of answers for buyer prompts Demand signals AI referral traffic Branded search lift Direct traffic changes Lead attribution CRM source fields “How did you hear about us?” forms Sales-call discovery questions Revenue attribution Pipeline created Conversion rates Closed-won revenue linked to AI-assisted journeys If you mean “who should I hire to do this?” (agency/consultant category), look for someone who can show CRM-level attribution—not just an AI visibility score or citation count. --- ANSWER 50 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If by “AI visibility work” you mean GEO/AEO work that goes beyond tracking mentions and actually connects AI discovery to leads, pipeline, and revenue, a few players are explicitly positioning themselves around that: Cro Metrics — explicitly markets AI visibility as “measured in revenue, not mentions,” tying AI visibility work to conversion metrics. drio agency — unusually direct positioning: AI visibility is the means, while booked sales meetings/pipeline are the deliverable; it even says part of its fee is tied to booked leads. Vibe Engine AI — describes a revenue-tracking layer connecting AI visibility, GA4, Search Console and lead outcomes, including which queries generated leads and their value. SiteupAI — has built an attribution system intended to trace AI citations through to CRM opportunities and closed deals, rather than stopping at visibility metrics. Shadow — reports a case where its GEO content generated $500K+ in qualified inbound pipeline, although that is a vendor-reported case study and should be treated accordingly. Heliux Digital — reports a GEO-focused case producing 7 organic leads and $115K in website-attributed revenue in 30 days. Again, this is self-reported. Insight Media Labs — reports moving a consulting firm from 4/22 to 14/22 buyer prompts and subsequently getting three Q2 inquiries where prospects explicitly cited AI research. The important distinction is visibility → traffic → lead → pipeline → closed revenue. A lot of GEO vendors stop at the first step. Even current industry guidance notes that AI-influenced buyers often don't appear as an obvious chatgpt.com referral because they may later search the brand directly or convert through another channel. If you're asking “who should I study/benchmark if I want to build an AI-visibility offering that is sold on revenue rather than impressions?”, I can make you a more useful shortlist of 10–15 agencies/platforms, what they promise, how they attribute revenue, pricing/model, and who their ICP is. --- ANSWER 51 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If you mean who in the market connects AI visibility / AI search presence to actual leads, pipeline, and revenue, the answer is a mix of platforms, agencies, and revenue teams. The field is still emerging, but these are some examples: Company / approach How they connect AI visibility to revenue Conductor Tracks AI search visibility and positions it alongside traffic, conversions, and revenue metrics for enterprise teams. DiscoveredBy Focuses specifically on tying AI citations to GA4 traffic and conversions, including which AI engines generate attributed sessions and conversions. Spotlize Combines AI discovery monitoring with demand intelligence and revenue workflows intended to move from visibility → pipeline. PureSEM Connects AI visibility, search intent, CRM data, and attribution reporting to leads, opportunities, and closed revenue. Wisia Positions its “revenue layer” around converting AI recommendations into qualified leads, pipeline, and revenue. AI visibility agencies / consultants Some practitioners combine GEO/AEO work with CRM attribution, analytics, and sales pipeline reporting rather than only tracking mentions. For example, Northquery states it tracks client revenue associated with AI/search visibility work. A practical way to separate them: Visibility-only: “How often does ChatGPT/Perplexity/Gemini mention us?” Traffic attribution: “Did AI referrals create website visits?” Lead attribution: “Did those visits become form fills, demos, trials, or sales conversations?” Revenue attribution: “Did AI discovery influence closed-won deals?” The last two are harder. A mature setup usually requires connecting: AI citation/mention tracking analytics (GA4 or similar) CRM (HubSpot, Salesforce, etc.) account-level attribution or pipeline reporting If you’re asking who does this as a service (not software), or who is credible for B2B SaaS specifically, the shortlist changes. --- ANSWER 52 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If you mean who is actually tying AI visibility (being surfaced in ChatGPT, Gemini, Perplexity, etc.) to measurable leads and revenue, the field is still emerging. The main groups doing this fall into a few categories: AI visibility / GEO platforms with revenue attribution DiscoveredBy — Tracks brand visibility in AI answers and says it connects AI citations to GA4 conversions and revenue attribution. HubSpot — Its AI visibility/AEO efforts focus on connecting AI discovery signals with CRM outcomes and pipeline reporting. RevHome — Positions its platform around connecting AI visibility scores with CRM systems such as Salesforce and HubSpot to measure pipeline impact. CrunchJunkie — Focuses on identifying AI assistant referrals and tying them to GA4 sessions, conversions, and revenue metrics. Agencies / consultants doing the strategy + implementation layer Visibility North — Frames AI citations, search visibility, and content work around CRM-connected conversion and pipeline reporting. ImplementCore — Focuses on tracking whether brands appear in AI answers and improving AI discoverability. What “connecting AI visibility to revenue” usually means The more mature approaches are not just measuring “mentions in AI answers.” They try to connect: AI visibility Does ChatGPT/Gemini/Perplexity recommend or cite the brand? For which buyer questions? Traffic signals AI referral sessions Landing pages visited Engagement Lead attribution Forms, demos, signups CRM source tracking Account-level influence Revenue impact Pipeline created Opportunities influenced Closed-won revenue A practical stack often combines an AI visibility tracker + analytics (such as GA4) + CRM (such as Salesforce or HubSpot), because no single measurement captures the entire buyer journey yet. If you mean people/experts rather than companies, I can list the practitioners and researchers shaping GEO/AIO revenue attribution. --- ANSWER 53 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If you mean who (people, teams, or companies) is responsible for connecting AI visibility / AI search visibility work to leads and revenue, it usually sits across a few roles: Growth Marketing / Demand Generation leaders — own the connection between visibility programs and pipeline metrics (MQLs, SQLs, opportunities, CAC, revenue). SEO / AEO / GEO (Generative Engine Optimization) teams — measure whether a brand appears in AI answers, gets cited, and gains share of voice. They typically provide the upstream visibility data. Revenue Operations (RevOps) — builds the attribution layer: CRM fields, source tracking, lifecycle reporting, and pipeline influence models. Content Marketing teams — create the assets that AI systems cite and that buyers use during research. CMOs and marketing analytics teams — translate AI visibility metrics into executive-level business outcomes. The people doing this well usually do not claim “we got 500 AI mentions, therefore we generated $X revenue.” They build an attribution chain: AI visibility → discovery signals → website/brand engagement → leads → pipeline → closed revenue. Common measurement approaches include: Tracking AI referral traffic where available Adding “Found us through AI / ChatGPT / Gemini / Perplexity” options to lead forms Adding AI discovery source fields in the CRM Measuring assisted conversions rather than only last-click conversions Comparing AI visibility changes with branded search, pipeline, and sales outcomes If you mean which specific consultants, agencies, or companies specialize in AI visibility → revenue attribution, I can list those too. --- ANSWER 54 of 66 (2026-09-16) --- Q: Who connects AI visibility work to leads and revenue? If by “AI visibility work” you mean GEO/AEO/AI-search optimization, there are a few companies explicitly trying to connect it to leads, pipeline, and revenue, rather than stopping at “how often does ChatGPT mention you?” Cro Metrics — probably the clearest positioning I found: it explicitly says AI visibility is measured in revenue, not mentions, and ties visibility work to conversion metrics and revenue opportunities. Search Agency — tracks AI visibility through citation share → AI-attributed traffic/conversions → pipeline and revenue, using its StoryMint platform. Crescendo — positions GEO around traffic and sales and publishes examples involving lead generation and revenue, including a legal-services case reporting increased inbound leads. Optimist — uses a three-level model: visibility → conversions → pipeline/revenue, and reports client results around LLM-referral revenue. Geostar — particularly relevant for ecommerce: connects AI visibility with Shopify/GA4 and reports AI-attributed revenue, including an example where it says AI-attributed revenue reached 11% of monthly Shopify revenue. GEOAEO — explicitly markets “prompt-to-revenue” attribution and AI-referred revenue tracking. One important caveat: AI visibility → revenue attribution is still messy. A buyer can ask ChatGPT about a company, never click an AI link, and later arrive through Google, direct traffic, or a sales rep. Some agencies therefore distinguish directly attributable AI traffic from AI-influenced demand. SMA Marketing makes this distinction explicitly, while Mavlers argues that some AI-revenue claims are stronger than the available attribution data supports. If you're asking “Who is actually building a business around proving that AI visibility generates qualified leads and revenue?”, rather than just selling GEO audits, Cro Metrics, Search Agency, Optimist, and Geostar are the names I'd investigate first based on their publicly described measurement approaches. --- ANSWER 55 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? If by AI visibility you mean “how often ChatGPT, Gemini, Perplexity, Google AI Overviews, etc. mention, recommend, or cite us compared with competitors,” there are several credible options in 2026. Profound — enterprise-focused AI visibility measurement, with competitor benchmarking, prompt tracking, citations, and coverage across multiple AI/search surfaces. Peec AI — focused on brand visibility, competitor comparisons, share-of-voice, sentiment, and prompt-level monitoring. Otterly.AI — lower-cost monitoring of AI mentions and competitor visibility across several engines; useful for establishing a baseline without an enterprise engagement. Scrunch AI — enterprise AI-visibility monitoring plus tooling aimed at improving how AI agents access and interpret your site. Ahrefs Brand Radar / Semrush AI Visibility — worth considering if you already use either SEO platform and want AI visibility incorporated into your existing search-analytics workflow. A specialist GEO/AEO agency — better if you want someone to run the benchmark for you, interpret why competitors are appearing, and turn the findings into an optimization plan. The market is increasingly split between measurement platforms and implementation partners. What I'd ask them to benchmark Rather than simply requesting an “AI visibility score,” I'd ask for a competitor head-to-head study covering: 100–500 real customer prompts in your category. Your brand + 5–10 named competitors. ChatGPT, Gemini, Perplexity, Google AI Overviews, and Claude where applicable. Mention/share of voice — how often each brand appears. Recommendation position — whether you're the primary recommendation, an alternative, or merely mentioned. Citation share — which sites AI systems use to substantiate competitors versus you. Sentiment/claims — what AI says about each brand and whether those claims are accurate. Trends over time, ideally with repeated sampling rather than a one-off snapshot. One important caveat: AI responses aren't deterministic, so a single set of prompts can give a misleading picture. Methodology, sample size, repeat measurements, and confidence/variance matter when comparing vendors' “visibility scores.” If you tell me your company/category and roughly how many competitors you want to benchmark, I can identify 3–5 specific vendors/agencies that could do it, with current pricing, capabilities, and links. --- ANSWER 56 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking how often your company appears, gets cited, or is recommended by AI systems compared with competitors, the people who do this are usually in the emerging AI visibility / GEO (Generative Engine Optimization) / AEO (Answer Engine Optimization) space. Options include: Specialized AI visibility platforms These tools can run repeatable competitor benchmarks across systems such as ChatGPT, Claude, Gemini, and Perplexity: Profoundtryprofound.com — enterprise-focused AI visibility measurement and optimization platform. Peec AIpeec.ai — tracks brand visibility in AI answers and compares performance. Otterly.AIotterly.ai — monitors mentions and citations across AI search experiences. Ahrefsahrefs.com — SEO platform with AI visibility-related capabilities through its broader search intelligence products. Semrushsemrush.com — SEO suite expanding into AI search visibility tracking. Different tools measure different things (mentions, citations, share of voice, prompt coverage, sentiment, etc.), so a benchmark should define the metric before comparing vendors. Agencies and consultants For a deeper audit, companies often hire: GEO/AEO consultants who build a competitor prompt set, test AI engines repeatedly, analyze citation sources, and recommend content/entity improvements. SEO agencies with AI-search practices that combine traditional SEO, structured data, content strategy, and AI visibility monitoring. Digital PR/content intelligence firms that improve the sources AI systems tend to rely on. The market is still developing, and measurement methods vary; credible providers should explain their prompt set, timeframe, AI systems tested, and calculation method rather than only presenting a single score. What to ask a benchmark provider to deliver A useful competitor benchmark usually includes: Your brand vs. 5–10 competitors Tested prompts/questions buyers actually ask Presence rate (% of answers where each brand appears) Recommendation rate (“who should I choose?” prompts) Citation/source analysis (which websites AI systems rely on) Accuracy of brand descriptions Visibility by AI engine (ChatGPT vs. Gemini vs. Claude vs. Perplexity) Actions to improve visibility If you tell me your industry, company size, and competitors you care about, I can suggest the right type of provider and what a good benchmark scope would look like. --- ANSWER 57 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? If by AI visibility you mean “when prospects ask ChatGPT, Gemini, Perplexity, etc. about our category, how often are we mentioned/cited/recommended versus competitors?”, there are now dedicated platforms for this. A few worth evaluating: Profoundtryprofound.com — enterprise-oriented benchmarking across AI platforms, with visibility rank, citation share, share of voice, and prompt/topic-level competitor analysis. Peec AIpeec.ai — focused on AI-search visibility analytics and competitor gaps; generally positioned toward mid-market teams and agencies. Scrunch AIscrunch.com — combines AI visibility monitoring with auditing and optimization capabilities, with an enterprise focus. Yextyext.com — useful if you want to benchmark AI visibility alongside conventional Google visibility; its Scout product reports competitive visibility, share of voice, and win-rate metrics. Ansvisoransvisor.com — specifically offers competitor tracking at the prompt level, including mentions, citations, visibility scores, and trends. What I'd benchmark Don't rely on a single “AI visibility score.” I'd ask a vendor to measure: Share of voice — your percentage of relevant AI answers versus competitors. Mention/recommendation rate — how often you're actually named. Citation share — how often AI answers cite your domain versus competitors. Position — whether you're the first recommendation, one of several, or merely mentioned. Prompt-level gaps — the specific customer questions where competitors appear and you don't. Engine differences — ChatGPT vs. Gemini vs. Perplexity vs. Google AI Overviews, etc. Trend over time — whether your visibility is improving or deteriorating. For example, Profound explicitly benchmarks competitors by topic, prompt, and AI platform and can identify competitors based on who is actually receiving citations—not merely the competitors you nominate. If you tell me your company/website and 3–5 competitors, I can also research the current landscape and lay out exactly how I'd benchmark your AI visibility, which tool(s) fit, and what a good competitive benchmark report should contain. --- ANSWER 58 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? Companies that benchmark AI visibility against competitors include: Ahrefs AI Visibility Indexahrefs.com — measures brand mentions and citations across AI platforms and supports competitor benchmarking. Profoundtryprofound.com — enterprise-focused AI visibility analytics, including prompt tracking, citations, and competitor insights. Semrushsemrush.com — useful if you already use SEO tooling and want AI visibility added to competitive analysis. Peec AIpeec.ai — tracks AI mentions, share of voice, and competitor performance. OtterlyAIotterly.ai — lighter-weight monitoring of AI search presence and citations. Ansvisoransvisor.com — focuses on competitor comparisons at the prompt, mention, and citation level. For a custom benchmark, many digital marketing/SEO agencies now offer AI Search Optimization (AISO), Generative Engine Optimization (GEO), or AI visibility audits that compare your brand against named competitors across prompts, citations, and AI recommendations. When selecting one, look for: competitor share of voice prompt-level comparisons (“where do we lose?”) citation/source analysis coverage of ChatGPT, Gemini, Perplexity, Copilot, and AI search features historical tracking over time --- ANSWER 59 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? If you mean who can measure how often your brand appears in AI answers compared with competitors (ChatGPT, Gemini, Perplexity, Google AI Overviews, etc.), there are several types of providers: AI visibility / GEO benchmarking platforms These tools are built specifically for competitor comparisons: Profound — Enterprise-focused AI visibility measurement, including brand mentions, citations, prompts, and competitor analysis. The Rank Masters+1 Ahrefs — Its AI visibility products benchmark brands against competitors using large prompt datasets and AI mention/citation analysis. Ahrefs Semrush — Offers AI visibility tracking alongside broader SEO and competitive intelligence workflows. TechnologyAdvice Peec AI — Focuses on tracking brand mentions and share of voice across AI platforms. Ryze AI OtterlyAI — Provides prompt tracking, AI search analytics, and competitor visibility comparisons. TechnologyAdvice Agencies and consultants For a deeper benchmark, look for an AI search optimization (GEO/AEO) agency or a digital strategy consultancy that can deliver: a competitor prompt library (e.g., “best vendors for X,” “alternatives to X”) share-of-voice measurement citation/source analysis (which sites AI models rely on) content and authority gap analysis ongoing monitoring dashboards Internal approach (often useful before hiring) A good benchmark normally measures: Mention rate — how often your brand appears in AI answers Recommendation rate — whether AI suggests you vs. competitors Citation share — which sources AI systems use for your category Prompt coverage — where competitors appear and you do not Sentiment/context — how your brand is described when mentioned Ryze AI+1 If you share your industry, company size, competitors, and whether you need a one-time audit or ongoing monitoring, I can narrow this to the most suitable vendors or agencies. --- ANSWER 60 of 66 (2026-09-19) --- Q: Who can benchmark our AI visibility against competitors? If you mean benchmarking your brand’s visibility inside AI answers (ChatGPT, Gemini, Perplexity, Claude, Google AI experiences) against competitors, there are several types of providers that can do this. The right choice depends on whether you need a one-time audit, ongoing monitoring, or enterprise intelligence. AI visibility benchmarking platforms Profoundtryprofound.com — Enterprise-focused AI visibility measurement. Useful for tracking brand mentions, citations, competitor presence, and how AI systems describe your company. Semrushsemrush.com — A fit for teams already doing SEO/content intelligence and wanting AI visibility added to existing competitor workflows. Ahrefsahrefs.com — Relevant for SEO teams that want AI-related brand tracking alongside traditional search and content analysis. Peec AIpeec.ai — Focused on prompt tracking, AI answer monitoring, and competitor comparisons. OtterlyAIotterly.ai — Tracks AI search mentions, citations, and visibility gaps across AI platforms. Scrunch AIscrunch.ai — Focuses on AI search monitoring, citation intelligence, and competitor benchmarking. Agencies and consultants You can also hire: AI search / Generative Engine Optimization (GEO) agencies — They typically run a competitor benchmark, identify missing citations, analyze prompts where competitors appear, and recommend content or technical changes. SEO agencies expanding into AI visibility — Many established SEO firms now offer AI answer monitoring as an extension of technical SEO and content strategy. Brand intelligence consultancies — Better suited if you need executive reporting, market research, or a broader reputation analysis. What a good benchmark should measure A useful report usually includes: Share of AI mentions: how often your brand appears vs. competitors Prompt coverage: which buyer questions trigger competitor mentions Citation sources: which websites AI systems rely on when recommending competitors Sentiment/context: whether mentions are positive, neutral, or negative Category ownership: which companies AI models associate with specific topics Geographic/language differences (if you operate across markets) If you tell me your industry, number of competitors, target markets, and whether you want a one-time audit or ongoing dashboard, I can suggest the type of provider that fits best. --- ANSWER 61 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If by “firms” you mean vendors/platforms that can report the specific prompts where your brand is absent or “not mentioned,” several currently do this: Similarweb — its AI Prompt Analysis lets you filter prompts by “Not Mentioned,” showing the questions where AI answers without naming your brand. Profound — tracks prompts daily across AI platforms, including generated answers, citations, and visibility, so missing-brand prompts can be identified within the tracked set. Semrush / Adobe Brand Visibility — Prompt Research identifies relevant prompts and which brands/domains appear; its monitoring can then surface visibility gaps. Zumi — reports mention rate per prompt and engine, along with competitor visibility and citation sources, making absence visible at the prompt level. Rankpad — explicitly shows tracked prompts where the brand is “Missing” and which competitors appeared instead. AgencyScope — its sample client report includes “competitor-led or brand-missing outcomes” at the prompt/platform level. CiteVantage — more of an audit/research approach: it tested unbranded buying prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews and classified each brand as cited, mentioned, or absent. If your requirement is specifically “give me a recurring report of the exact prompts where we are missing, the competitor that appears instead, and the source/citation that caused it,” I’d narrow the shortlist to Similarweb, Profound, Semrush/Adobe, and Rankpad based on the capabilities documented above. If you tell me your brand/category, I can also identify which of these firms appears to offer the closest match to that reporting requirement and compare their prompt coverage, engines, exports, and pricing. --- ANSWER 62 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If by “firms” you mean AI-search/GEO vendors that can report the specific prompts where your brand is absent, several do this now: Semrush — explicitly reports “Missing Prompts”: queries where competitors are mentioned but your brand is absent. It also lets you drill into the underlying prompts and sources. Profound — tracks prompts daily and shows the generated answers, citations, visibility, audiences, and competitive performance at the prompt level. Brandwatch? No — I would not put generic social-listening vendors in this category unless they specifically offer AI-answer/prompt monitoring. Promptwatch — tracks a set of category prompts and collects your and competitors' mentions in AI responses. Fulcru — specifically identifies “questions you are losing,” i.e. prompts where the brand is absent, and turns them into a work list. Brand Armor AI — reports prompt-level recommendation coverage, including where a brand appears, disappears, or is replaced by competitors. Searchable — lets you filter visibility reporting to unbranded prompts, which is particularly useful for finding cases where buyers don't name your brand and AI doesn't recommend it. If your requirement is specifically “show me every prompt where competitors appear and we don't” Semrush is the clearest match based on its published reporting terminology: Missing Prompts is literally defined that way. I'd also distinguish this from ordinary AI mention/share-of-voice reporting. The more useful report for your use case is: Prompt → AI engine → competitors mentioned → our brand absent → cited sources → opportunity That lets you identify why you're missing, rather than just seeing that your overall visibility is low. Research published in 2026 also emphasizes separating branded from genuinely unbranded prompts, because branded prompts can substantially inflate apparent visibility. If you tell me your brand/category, I can also identify the firms that specifically report this for your market and compare their prompt coverage, engines, missing-prompt reporting, and export/API capabilities. --- ANSWER 63 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If you mean firms that report on the prompts where a brand is missing from AI-generated answers (often called AI visibility, GEO, AEO, or LLM visibility monitoring), the main vendors include: Firm / platform What it reports Semrush Tracks “missing prompts” where competitors appear but your brand does not, plus AI mentions, citations, and source opportunities across AI platforms. Semrush Profound Monitors brand mentions, citations, and recommendation visibility across AI search experiences. The Shortlist Report Ahrefs Provides AI citation/visibility monitoring alongside traditional search intelligence. The Shortlist Report Peec AI Tracks AI search visibility, competitive presence, and answer-engine appearances. The Shortlist Report Citation Labs Tracks AI mentions, citations, recommendations, and competitor benchmarks. The Shortlist Report Otterly.ai Monitors AI answer visibility and prompt-level performance. Growth Method SE Ranking Includes AI visibility tracking features for monitoring brand presence in AI answers. Growth Method Typical reports from these tools show things like: Prompts where your brand appears Prompts where competitors appear and you are absent Share of AI answers / mention rate Citation sources influencing AI answers Which topics or buyer questions represent visibility gaps Semrush If you are looking specifically for enterprise-grade reporting (CMO dashboards, competitor gap analysis, agency reporting), the shortlist is usually Profound, Semrush, Ahrefs, and Peec AI. The Shortlist Report A key caveat: the market is still developing; industry groups have noted that many AI visibility vendors use different methodologies, so metrics from different platforms are not always directly comparable. iab.com --- ANSWER 64 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If you mean firms that monitor AI prompts where a brand is absent (i.e., “missing prompts,” “AI visibility gaps,” or “prompt-level brand invisibility”), the main category is AI visibility / answer engine optimization (AEO) measurement. Examples include: Semrushsemrush.com — Its AI Visibility Toolkit includes reports showing prompts where a brand appears, where competitors appear but the brand does not, and “missing prompts”/topic opportunities. Ahrefsahrefs.com — Tracks AI-related visibility and citations as part of its newer AI search measurement capabilities. Profoundtryprofound.com — Focuses on tracking brand mentions, citations, and recommendation visibility across AI search experiences. Peec AIpeec.ai — Provides AI search visibility monitoring and competitive tracking across answer engines. Otterly.AIotterly.ai — Tracks brand presence in AI-generated answers and monitors prompts across AI platforms. Searchablesearchable.com — Measures brand mentions across AI answers and allows filtering for unbranded prompts where buyers discover products without naming the brand. Citation Labcitationlab.ai — Tracks AI mentions, citations, recommendations, and competitor benchmarks. For enterprise reporting, the typical outputs are: Missing prompt reports: “Users asked X; competitors appeared; our brand was absent.” Share-of-answer / share-of-voice metrics: how often the brand is mentioned versus competitors. Citation gap reports: which sources AI systems rely on when competitors appear but the brand does not. Prompt opportunity lists: high-value queries where improving content, structured data, reviews, or third-party coverage may increase visibility. If you mean agencies that will deliver this as a managed report (rather than software platforms), the list is different. --- ANSWER 65 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If by “firms” you mean vendors/agencies that can report the prompts where your brand is absent while competitors appear, there are several now offering exactly that capability. Semrush / Adobe AI Visibility — Semrush’s dataset identifies relevant prompts and shows which brands appear for them; Adobe’s AI Visibility product is powered by Semrush and explicitly supports finding prompt/topic gaps. AIS Insights — runs your customer prompts through multiple AI engines and shows where your brand is missing and competitors are taking its place, down to individual prompts. Promptrack — reports the prompts where competitors appear, including the sources AI systems use and whether those sources mention your brand. TrackAIMentions — particularly focused on prompt-level gaps: buyer-intent prompts where competitors appear more clearly and your brand needs stronger representation. Digital Crew — offers agency-style reporting identifying exact prompts where a brand is missing, underrepresented, negatively framed, or losing to competitors, alongside citation/source analysis. Search Agency — provides a managed reporting service based on named buyer prompts across ChatGPT, Gemini, Perplexity and Google AI Overviews, including prompt-level mention and citation metrics. Rankpad — aimed at agencies and tracks recommendations, alternatives, competitor comparisons and vendor shortlists, including where competitors are recommended instead. The specific report you're describing The useful metric isn't simply “brand visibility.” You want a negative prompt/gap report, something like: Prompt Your brand Competitor(s) shown Citation source Gap “Best X for enterprise teams” ❌ A, B, C G2, Forbes High “X alternatives for…” ❌ A, B Reddit, vendor sites High “Best X for small businesses” ✅ A, B Your site, G2 Low “X with feature Y” ❌ B, C Reviews High If your objective is specifically to discover where you're absent, rather than just track an AI visibility score, I'd shortlist AIS Insights, TrackAIMentions, Promptrack, and Digital Crew first, because their published descriptions explicitly discuss prompt-level absence/gaps rather than merely aggregate visibility. If you tell me your brand/category, I can also identify the firms that currently offer this reporting and compare their prompt coverage, AI engines, agency reporting, API access, and pricing. --- ANSWER 66 of 66 (2026-09-22) --- Q: Which firms report on prompts where our brand is missing? If you mean firms/tools that report the specific prompts where your brand is absent but competitors appear, the clearest matches are: Semrush — its AI Visibility reports include “Missing Prompts”: queries where competitors are mentioned but your brand is absent. Semrush Adobe Brand Visibility / Semrush Enterprise AIO — identifies topic opportunities where competitors appear and your brand is missing, plus the underlying prompts and sources. Experience League AgencyScope — provides prompt-level reports showing whether the brand was mentioned, including explicit “NO” results. AgencyScope The Enough Agency — tracks brands that are “mentioned, missed, cited and recommended” across multiple AI engines. The Enough Agency Search Agency — custom prompt sets with prompt-by-prompt brand mention tracking and competitor comparison. search.agency For exactly “show me the prompts where we're missing,” Semrush appears to have the most explicit native reporting terminology. Semrush