Zero-click search is a Google query that ends without a click to any result. In the first four months of 2026, 68.01 percent of US Google searches ended that way, up from 60.45 percent in 2024. AI Overviews now expand into full AI Mode answers by default on some queries, pushing the ten blue links further down the page.
The number matters less than the mechanism. Google is resolving more questions on the results page and keeping the follow-up there too. That reshapes which queries are worth writing for, what a ranking is worth once you have it, and which reports still tell you the truth about organic performance.
Zero-click search, explained
A zero-click search ends on the results page. The searcher reads an answer, refines the query, or leaves, and no website gets the visit. SparkToro put US zero-click searches at 68.01 percent for January through April 2026 using Similarweb desktop and mobile panel data, against 60.45 percent in 2024 (SparkToro).
Two caveats keep that figure honest. The count includes clicks to paid ads and to Google properties like Maps and YouTube, so the organic share is smaller still. And it excludes follow-up searches inside Google, which rose 7.2 percentage points over the same two years (Search Engine Land). Searchers are not giving up. They are staying put, which is the premise behind answer engine optimization as a discipline.
The AI Overview expansion that pushed organic results down the page
Google confirmed in late August 2026 that AI Overviews now expand on their own for some queries, without the searcher clicking "Show more." The expanded unit reads like an AI Mode answer and loads the follow-up "Ask anything" box open, which moves the standard results well below the fold (Search Engine Roundtable).
A Google spokesperson framed it as selective: "For some queries, AI Overviews may dynamically expand for topics where our systems determine it's most useful for people." Robby Stein added that the expansion stops if the searcher has already begun scrolling. So the behavior is query-dependent and interruptible, which means impression-level averages will hide it. Segment by query type instead, the same way we treat ranking data in AI Mode SEO.
Inside the click-through numbers from position one to position ten
Ahrefs re-ran its AI Overview study on December 2025 data across 300,000 keywords and found the presence of an AI Overview correlated with a 58 percent lower average click-through rate for the position-one result, up from 34.5 percent in the April 2025 version of the same analysis (Ahrefs).
The damage is not uniform down the page. Ahrefs measured a 50.8 percent CTR hit at position two, 38.8 percent at position four, and 19.4 percent at position ten. Position one loses the most in absolute and relative terms, which inverts an old assumption: on an AI Overview query, the top slot is now the most exposed rather than the safest. That is a different calculation from ranking work on queries with no AI unit, a split we mapped in GEO vs SEO.
Google's own guidance narrows the list of things worth doing
Google published an official optimization guide for its generative AI features and used it to rule several popular tactics out. The guide states plainly that Google Search ignores llms.txt files, that content chunking is not required, that rewriting pages specifically for AI systems is unnecessary, and that structured data is not required for generative AI search (Google Search Central). It also treats AEO and GEO as labels for SEO rather than separate disciplines.
One eligibility detail in that guide deserves more attention than it gets. A page has to be indexed and eligible to appear with a snippet, and the site has to be included in Search generative AI features in Search Console, before it can show up in an AI Overview or AI Mode answer at all. Check that setting before commissioning any content meant to be cited. Our read on the llms.txt question ran in the llms.txt explainer, and the content side of this sits in the AEO playbook.
The query types that still send a click
Short queries still behave like old Google. Pew Research Center tracked 68,879 real Google searches from 900 US adults in March 2025 and found AI summaries on 8 percent of one- and two-word searches, rising to 53 percent of searches with ten words or more, and 60 percent of queries starting with a question word (Pew Research Center).
The same study measured the cost when a summary does appear: searchers clicked a traditional result on 8 percent of those visits against 15 percent without a summary, and clicked a link inside the summary itself on just 1 percent. Read those two findings together and the practical move is clear. Explainer content aimed at long question queries is the most exposed category you own, while branded, local, and transactional terms hold up better. Rebalancing a content plan on that basis is standard work for our digital marketing and technology team, and it is the first thing our Next Best Action engagements re-sequence.
A zero-click search measurement plan for the next quarter
Three changes to reporting, in order. First, split Search Console performance by whether a query triggers an AI unit, and use the Generative AI performance report Google now points to in its own guide rather than inferring from totals. Second, treat impressions and clicks as separate trend lines; rising impressions with flat clicks is the signature of this shift, not a tracking bug. Third, add citation share by engine as a standing metric, because a page can be quoted without being visited.
Then check the referral side, since AI assistants send traffic that lands in odd channel buckets by default. The setup for that is in our guide to tracking AI traffic in GA4. If you would rather run this as a standing program than a quarterly scramble, start a conversation and we will scope the measurement build with you.
