Most of what you read about AI visibility is modelled, sampled or guessed. Unsourced sits on something rarer: multi-engine citation data and server-side crawl logs from our own monitoring network. We turn that into original field research — and publish the exact numbers so you can check them yourself.
We verified 9,543 AI-crawler visits against operators' published IP ranges and forward-confirmed reverse DNS. 76.9% were genuine; 5.4% were impostors wearing an AI brand's name — matching an independent 5.7% estimate almost exactly.
Read the report →We put the 100 most common everyday questions to the 7 leading AI assistants and inspected every source they cited. 18% of those sources led to dead or unreachable pages — a look at how checkable AI's citations really are.
Read the study →The engineering method: query ChatGPT, Perplexity, Gemini and Grok for your real buyer questions, then read your server logs for AI crawlers — with the exact log lines, the user-agent strings to grep for, and how to prove a crawl is genuine.
Read the guide →Every figure we publish comes from measured data across the sites we monitor — not simulations or illustrative examples. More studies are in progress; methodology and aggregate data are available on request.
See how Unsourced's server-side telemetry compares with the estimate-based approaches:
Unsourced captures which AI assistants cite you, proves which crawlers really fetched your pages, and re-checks after you act — evidence, not a score.
© Unsourced — the evidence layer for AI search.