How AI discovers, crawls, and recommends the web.
Trakkr tracks how brands appear across ChatGPT, Gemini, Perplexity, Claude and more. Trakkr Data opens that telemetry up: rankings, citations, crawlers, models and web adoption, as live, explorable datasets.
Most-recommended brands
Cross-model visibility across ChatGPT, Gemini, Perplexity, Claude and more.
Biggest movers
Largest 24-hour visibility shifts.
Explore the datasets
Every dataset behind the state of AI search.
Leaderboard · industries · movers
Top domains · categories · by intent · trends
Crawl-to-cite · the blueprint · schema lift
The roster · agreement matrix · query divergence
Fan-out explorer · rewrites · injected brands
Behavior · Markdown test · llms.txt effect
llms.txt · cite buttons · AI readiness
Referrals by engine · growth · industry
Common questions
What is Trakkr Data?
Trakkr Data is a free set of open, daily-updated datasets showing how AI search engines like ChatGPT, Gemini, Perplexity and Claude discover, crawl, cite and recommend the web - covering brand rankings, citation sources, crawler behaviour, model agreement, query fan-out and web adoption.
Is Trakkr Data free to use?
Yes. Every dataset is free to explore and reuse under a CC BY 4.0 licence, with attribution to Trakkr. The rankings are also published as the open AI 500 dataset on GitHub.
How often is the data updated?
The core datasets refresh daily (around 7am UTC). The longer-running studies behind pages like crawlers, models and web adoption are re-run periodically.
Where does the data come from?
Trakkr sends thousands of prompts to the major AI models every day and records the brands they recommend, the URLs they cite and the crawlers that fetch the web. The datasets aggregate that observed behaviour - empirical measurement, not editorial opinion.