Dwell Time

Dwell time is the time between a user clicking a search result and returning to the search results page. A long dwell time suggests the page satisfied the query; a very short one, often called pogo-sticking, suggests it did not. It differs from bounce rate, which counts single-page sessions regardless of duration, and from session duration, which covers a whole visit across many pages.

Only the search engine can measure dwell time precisely, because only it sees both the click and the return. Site owners can approximate it: GA4 reports average engagement time and engaged sessions, and scroll-depth or time-on-page events can be filtered to search-referred visits. None of these is the same thing, but together they show whether search visitors stay.

Whether Google uses dwell time has been argued for over a decade. Google representatives long dismissed it; in 2019 Google's Gary Illyes called dwell time and CTR theories 'generally made up crap' on Reddit. Evidence since then has complicated that picture. In the US antitrust trial in 2023, Google engineers testified about NavBoost, a system that stores roughly 13 months of aggregated click data per query and document, and Google's Pandu Nayak called it 'one of the important signals that we have'. Leaked Google API documentation published in 2024 listed click attributes such as goodClicks, badClicks and lastLongestClicks. None of this confirms a 'dwell time' ranking factor as SEOs usually describe it, and the documents do not reveal weights. It does show that Google records how users interact with results, including which click ended a search, and uses aggregated click data in ranking.

The practical takeaway has not changed much: a page that quickly gives searchers what they came for, and keeps them reading when they want depth, tends to perform better in the systems that learn from clicks.

In AI search, dwell time works differently. ChatGPT, Perplexity and Claude cannot see what a user does after clicking a citation, so dwell time on your site does not feed back into their source selection. Google is the exception, since it observes clicks from AI Overviews and AI Mode in the same way as from regular results. Google says in its documentation on AI features that clicks from results pages with AI Overviews are 'higher quality', meaning users are more likely to spend more time on the site. That fits a pattern many sites see: fewer clicks from zero-click AI answers, but longer, more engaged visits from the people who do click, because the AI answer already covered the basics.

That shifts what a page needs to do for AI-referred visitors. They arrive having read a summary, often with a specific follow-up in mind: a price, a spec, a comparison, a way to buy. Pages that answer that next question immediately, rather than restating the basics the AI already gave, keep these visitors longer. Segment engagement time by AI-referred traffic sources to see whether your cited pages are delivering on the click.