The typical Netflix person spends 18 minutes looking the house display earlier than choosing what to observe. They scroll previous tiles, hover for trailers, scroll again to a present they nearly picked, then circle again to the row they began in. The browse is the expertise.
Search isn’t that completely different anymore. We simply lacked the information to see it till now.
This week:
- 4 behavioral shifts that present up when an AI Overview is on the web page, measured throughout 846,000 actual Google classes.
- Why brand-name searches not provide the shortcut they used to.
- One discovering that ought to change the way you write title tags and meta descriptions this quarter.
Eric Van Buskirk of Clickstream Solutions analyzed anonymized clickstream knowledge supplied by Surfer SEO, drawing findings from roughly 846,000 U.S.-based Google search classes collected in February and March 2026.
It’s the fifth user-behavior examine on Google’s AI options within the final 12 months. The 70-user UX study from May 2025 used think-aloud and display recording. The 250-session AI Mode study from October 2025 captured how customers behave inside AI Mode itself. This one trades qualitative depth for the size to seek out behavioral patterns the smaller research couldn’t see.
For context: Prior public Google SERP mouse-tracking research measured dozens of individuals. The most important had a number of thousand duties. This examine analyzed queries from a panel of tens of hundreds of Google Search customers.
Essentially the most important sample proven: Customers behave in reverse methods in AI Overviews and AI Mode. AI Mode is autoplay. AI Overviews is the Netflix browse.
This text covers 4 findings from the brand new examine (full methodology here) and what they imply for the way you write title tags and meta descriptions in 2026.


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1. Identical person, reverse behaviors
In AI Mode, customers typically settle for the reply whereas persevering with to guage the SERP in AI Overviews.
The April 2026 study of 185 high-stakes purchases discovered that in 88% of AI Mode duties, customers took the AI’s shortlist as-is, 74% picked the merchandise ranked first, and 64% clicked nothing in any respect. AI Mode typically behaves like a closed loop: The person reads the reply, picks from inside the reply, and strikes on.


Observe: N/A way the habits doesn’t apply to that floor. AI Overviews don’t ship shortlists like AI Mode does, and cursor/scroll metrics had been solely measured in AI Overview comparability environments.
New cursor monitoring knowledge on AI Overviews reveals a special habits sample. Cursor positions unfold throughout the equal of 83% of a viewport, in contrast with 66% when no AI Overview appeared. Customers saved their cursors nonetheless 44% of the time, in contrast with 29% with out an AIO. And within the median session, reverse-direction scrolling accounted for almost half of scroll motion.
Taken collectively, this means that AI Overviews flip the SERP into extra of a comparability atmosphere. The person reads, pauses, weighs, returns to earlier content material, and reconsiders earlier than clicking.
The implication for technique: AI Mode optimization and AI Overview optimization are usually not the identical job. Exhibiting up in an AI Mode shortlist is a visibility downside on the mannequin layer. Exhibiting up in an AI Overview is a comparability downside on the SERP itself.
Amongst customers who reverse course in an AI Overview SERP, the median person spends 47.5% of whole scrolling going again up the web page. With out an AI Overview current, that determine is 27%.


The cursor knowledge reveals scrolling isn’t a one-way journey. On AI Overview SERPs, scrolling is roughly a 50/50 cut up between happening and going again up. That’s the habits of somebody re-reading, not somebody scanning.
The 70-user examine from Could 2025 discovered this sample qualitatively. 38% of AI Overview sessions in that study confirmed reassurance-seeking clicks the place customers opened a second hyperlink “simply to make sure.” The brand new clickstream knowledge reveals that the validation work has now moved onto the SERP itself. Customers used to go away Google to validate a outcome. Now they validate by reversing again over outcomes they already noticed.
That is precisely the Netflix browse sample. You hover on a tile. You scroll previous it. One thing pulls you again, so that you scroll as much as learn the outline once more. The choice occurs throughout the reversal, not the primary cross.
For e-commerce and high-consideration determination classes, that is essentially the most consequential discovering within the examine. Your itemizing in an AI Overview SERP isn’t getting one impression anymore. It’s getting 2 or 3, and the second impression is when comparability occurs.
3. Search kind not predicts habits
For two a long time, search intent has been the foundational segmentation framework in search engine optimization. You might predict how lengthy a person would keep on a Google SERP by figuring out what sort of search they did. The cursor knowledge reveals that’s not true when an AI Overview is on the web page.


At 21 seconds right into a session with out an AIO, solely 12% of navigational searchers are nonetheless on the web page. 32% of native searchers are. In basic search, time-on-page has all the time adopted intent: navigational customers depart quick as a result of they know the place they’re going, native customers keep as a result of the SERP is dense with maps and listings, informational customers fall someplace in between. That 20-point unfold is what each search engine optimization psychological mannequin is constructed round.
With an AI Overview current, the unfold compresses to barely 6 factors. All 5 intent sorts (informational, native, navigational, transactional, video) cluster between 41.9% and 48.5% time-on-page at 21 seconds. Intent stops predicting how lengthy customers will keep within the search outcomes.
That is essentially the most novel discovering within the examine. Nothing in prior analysis has proven AI Overview collapses time-on-page variations between intent sorts right into a single band. The 70-user UX examine segmented by question threat, the 250-session AI Mode examine by process kind. Each confirmed intent issues for engagement. The brand new clickstream knowledge says intent stops predicting how lengthy customers keep on the SERP as soon as an AI Overview seems.
The scoping issues. This can be a time-on-page discovering, not a “habits” discovering. Scroll depth nonetheless varies by intent underneath AIO, and it truly reshuffles: native jumps from third deepest to first, video falls from first to 3rd. That a part of the story is within the subsequent part.
The sensible implication is uncomfortable. Most search engine optimization playbooks suggest completely different optimization patterns by intent. Native pages get one therapy, transactional pages one other, informational pages a 3rd. Nevertheless, our time-on-page knowledge means that when an AI Overview is on the SERP, customers keep for related quantities of time no matter why they searched.
The principle takeaway right here is that intent-based segmentation nonetheless issues for what content material you write, nevertheless it issues much less for predicting how lengthy customers will stick round on the SERP itself.
4. Model searches misplaced their shortcut
Cursor exercise for navigational queries (somebody typing a model identify into Google) elevated 40% when an AI Overview is on the web page. Even customers who got here figuring out the place they needed to go are sweeping the web page first.
With out an AIO, navigational searchers had been essentially the most targeted group within the examine. They scored 19.7 on the cursor scatter measure (primarily, how a lot folks bounce across the web page), the bottom of any intent kind. Solely 12% had been nonetheless lively at 21 seconds. They got here to Google with a vacation spot, discovered it, and left.


With an AI Overview current, that profile adjustments utterly. Cursor scatter for navigational searchers jumps to 27.5. 45.8% are nonetheless lively at 21 seconds. The brand-name shortcut, the quickest path by means of Google seek for the previous 20 years, not works the best way it used to.
The 70-user examine from Could 2025 discovered that model and authority is the primary gate customers apply when studying a SERP. They verify who’s cited earlier than they verify what’s mentioned. The brand new clickstream knowledge reveals that the gate now fires even when there’s nothing to gate in opposition to. A person who typed “Lenovo” remains to be doing the authority verify on the AI Overview content material first.


This is identical Netflix sample once more. You open a present you’ve already determined to observe, however you pause first to learn the synopsis and verify the score. The model recall acquired you to the web page. The browse decides whether or not you click on by means of.
The implication for branded search: Model recall is not sufficient by itself. Even customers who looked for you particularly at the moment are evaluating what’s round you on the SERP earlier than they click on by means of.
This publish first appeared on the creator’s web site and is republished right here with permission.
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