See visits and revenue from ChatGPT, Perplexity and Claude as their own channel, separate paid from organic AI, and measure what each engine takes vs sends back.
AI referral traffic grew 357% in a year and converts better than almost any channel, yet most analytics still files ChatGPT visits under Referral or Direct, and now that ChatGPT has ads, "AI traffic" secretly blends earned citations with paid placements. Datalenk treats AI as the first-class channel it has become.
GA4 added an AI Assistant channel in May 2026, but it sees only the click, loses blocked and consent-refused sessions, and ties nothing to revenue. GEO tools (Profound, Otterly) watch the assistant, not your site, and start at enterprise prices. Datalenk measures what reaches your site, separates paid from earned, and ties it to money, at web-analytics pricing. It is also resilient by design: when a platform removes a tracking signal (as Google did with AI Overviews), first-party measurement does not go dark.
The full money-side guide: ↗. How to track ChatGPT specifically: ↗. The metric we coined for the take-vs-give question: ↗. What ChatGPT ads change: ↗.
See what the AI era actually sends you. AI traffic as its own channel, tied to revenue. Free tier. Try Datalenk free.
Can I see ChatGPT traffic in Datalenk? Yes, classified into the AI channel automatically and split by engine, with conversions and revenue attached, including the crawl-to-refer picture GA4 cannot give you.
Does it separate paid ChatGPT ads from organic citations? Yes. Tagged paid placements are measured apart from earned citations, so your AI channel stays a number you can trust as ads expand across AI surfaces.
What is a crawl-to-refer ratio? AI crawler requests divided by human visits an engine refers back, per engine: it tells you whether an AI engine is buying distribution with your bandwidth or just taking.
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