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Does AI traffic show up in analytics? Only 1.1% of post-AI news visits arrive with an AI referrer

A panel study published today by Scrunch links the same people's AI conversations to their subsequent web activity — and finds that after a news-topic conversation with an assistant, readers are 20.5 percentage points more likely to visit a news site in the following week, yet only 1.1% of those visits arrive with an AI referral. About three quarters arrive as direct navigation and about 9% through traditional search. If that pattern generalizes beyond news, the "AI referral" row in an analytics dashboard is reading roughly one percent of the behavior AI actually shapes.

What the study measured

The study, by Scrunch principal data scientist Michael Iannelli and published 2026-08-13, analyzes "a privacy-safe opt-in panel that links people's real AI conversations to the same people's anonymized web activity (i.e., Google searches and news-publisher visits) from February 2026 to June 2026" — millions of search events. Because the panel sees the conversation AND the later visit from the same person, it can measure influence that never carries a referrer. Disclosure worth knowing: Scrunch sells an AI-visibility platform, so the vendor has an interest in AI influence being real; the design, the numbers and the stated caveats are nonetheless the most direct measurement of the AI-to-visit path we have seen published. Search Engine Land covered the study the same day.

The numbers: AI moves visits, referrers miss them

The AI Overviews click gap mostly isn't the overlay

The study also re-examines the most-quoted number in the "clickpocalypse" narrative: news searches with an AI Overview convert to a publisher click about 20% of the time versus about 30% without one. Held to the same query — "the same query, seen sometimes with a generative overlay and sometimes without — the gap shrinks to about 2 percentage points. That's too small for us to tell apart from zero." In the study's framing, Google isn't so much shrinking clicks on a given search as choosing to put overlays on searches that rarely produced clicks anyway. That is a materially different diagnosis than the 10-point headline gap implies, and it echoes what Google's own randomized experiment claimed in July — this time from a third party's panel rather than Google's.

What this means if you care about AI visibility

This is news-publisher data — an opt-in, AI-engaged panel counting page visits, "not subscriptions, ad revenue, or how long anyone reads," as the study itself cautions — so extrapolate to other businesses with care. But two mechanics travel well. First: if AI-shaped visits overwhelmingly arrive as direct navigation, then referral-based measurement — the way nearly everyone currently gauges whether AI matters to their business — undercounts by orders of magnitude. AI referral rows are already tiny; this study says the influence behind them is roughly 90× the visible slice. The measurable asset is whether assistants NAME you when a customer asks, not whether a click carries a referrer. Second: being named is necessary but not sufficient — assistants volunteer mid-sized names 17% of the time, yet 97% of follow-through goes to majors. Familiarity compounds after the answer. For a small business the practical reading is the same one our data keeps producing: check whether AI engines actually name your business when asked like a customer would — because the visit that follows will look like it came from nowhere.

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