TheShortlist Report

Measured research on who gets recommendedLatest reading

Counts, not opinions · No paid placement · Method published

Head to head

Outlandish vs Pattern

Named side by side in 4 TikTok Shop agencies questions, and the sample does not separate them on the balance of results.

33.9%Outlandish
31.0%Pattern
1–1Questions led
2Too close to call

Outlandish and Pattern were named in 4 TikTok Shop agencies questions measured by The Shortlist Report over 759 AI responses: Outlandish in 33.9% of responses and Pattern in 31.0%, with neither ahead of the other on more questions than the reverse.

How Outlandish and Pattern differ

This data does not establish which firm is better. Outlandish’s strongest result relative to Pattern was on “What are the best TikTok Shop agencies?” (61.4% versus 41.7%), while Pattern’s strongest result relative to Outlandish was on “Which TikTok Shop agencies work with enterprise consumer packaged goods brands?” (42.2% versus 25.4%).

Those are the clearest differences in the shared sample. They measure which firm AI assistants surfaced more often for each buyer question, not service quality or client results.

Question by question

QuestionOutlandishPatternAhead
What are the best TikTok Shop agencies?295 responses61.4%41.7%Outlandish
Which TikTok Shop agencies work with enterprise consumer packaged goods brands?185 responses25.4%42.2%Pattern
What are the best agencies for TikTok Shop creator sourcing and management?117 responses13.7%13.7%Same tier — too close to call
Which agencies work with supplement, apparel, food and home goods brands on TikTok Shop?162 responses8.0%11.1%Same tier — too close to call

How to read this

Share is the percentage of sampled ChatGPT responses to a question that named the firm at all — a measure of visibility, not of the work. A capable firm little has been written about will score low, which is a fact about how often it gets named and not a verdict on whether to hire it.

"Too close to call" is a result, not a gap in the data. Firms are grouped into tiers holding every firm the sample cannot statistically separate from that tier's leader, so two firms in one tier are reported as level however their percentages happen to fall. On 2 of these 4 questions that is what the measurement supports, and saying otherwise would be inventing precision.

Nothing here is our judgement of who is good. It is a count of who gets named. Both firms are measured over the same questions and the same 759 responses, so neither is being scored on a sample the other did not face.

The full picture on each

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