What AI Overviews Did to the Click Curve
When an AI Overview sits above the search results, fewer people click the links beneath it — on the queries where it appears. How much fewer depends on what you measure. Published studies report a lower click-through rate on affected keywords, a smaller share of searches that end in any click, and a click rate that dropped and later steadied. They differ because they measured different things. This piece lays the three side by side, and reads them honestly.
What Changed at the Top of the Page?
The ordinary click curve is steep and top-heavy: in published research, the first organic result on Google takes about 39.8% of clicks, and the share falls sharply below it. An AI Overview does not rewrite that curve. It sits above it — a block of generated answer at the top of the page, on the queries where Google shows one — so the links beneath compete for the clicks left after a reader has already been handed an answer.
That is the whole mechanism, and it is why the effect is uneven. On a search with no Overview, the position curve still governs, and a page-one ranking is worth what it always was — priced in What Page One Is Worth. On a search where an Overview appears, a narrow, measurable question opens: how much of the click does it take? Several groups have measured it, and their answers only look contradictory until you read what each one counted.
What Do the Studies Actually Say?
Three independent groups measured the click impact of AI Overviews, and they reported different numbers. The reason is not that one is right and the others wrong: they measured different things — a keyword click-through rate, a share of real search visits, and a click rate tracked month by month. Here is each, with what it counted kept next to what it found.
| Study | Sample | What it measured | What it found |
|---|---|---|---|
| AmsiveApril 2025 | 700,000 keywords across 10 sites in five industries; the ~10,000 that both triggered an AI Overview and already ranked organically. | Average organic CTR on keywords that now trigger an AI Overview, split branded vs non-branded. | Average CTR fell 15.49%; 19.98% lower on non-branded keywords, while branded keywords (an AI Overview shows on only 4.79% of them) rose 18.68%. |
| Pew Research CenterJuly 2025 | 900 U.S. adults on a real browsing panel; 68,879 Google searches in March 2025, of which 12,593 produced an AI summary. | Share of search visits ending in a click on a result link, with vs without an AI summary present. | A result was clicked in 8% of visits with a summary versus 15% without; a link inside the summary in 1% of visits. |
| Seer InteractiveApril 2026 | 53 brands, 5.47 million queries and 2.43 billion organic impressions, tracked monthly January 2025 to February 2026. | Organic CTR per impression on results with vs without an AI Overview, and for brands cited inside one vs not. | Click rate on AI-Overview results was near 1.3% in December 2025 and about 2.4% by February 2026 (a leveling off, not a recovery); cited brands earned about 120% more per impression than uncited. |
Each row is read from that study’s own published, dated report and stated only for what the study measured. The three are not blended into a single figure.
Do the Studies Agree, and Where Do They Differ?
On the exact number, no — and the gap between them is the most useful thing on this page. On the shape, they line up closely.
- On the queries where an AI Overview appears, clicks to the links below it fall.
- The loss lands hardest on informational, non-branded searches — the kind Overviews appear on most.
- Being cited inside the answer is its own advantage: a named page keeps more of the clicks than a merely present one.
- The size of the drop — because a keyword CTR, a share of search visits, and a click rate over time are different units.
- The baseline — the same keywords before and after, versus one keyword group weighed against another.
- The period — a single month of browsing, versus a fourteen-month trend line.
The newest data adds a wrinkle the alarming headlines tend to drop. In the longest-running series here, the click rate on AI-Overview results fell through 2025 to about 1.3% in December, and by February 2026 had climbed back toward 2.4%. Its own authors call that a leveling off, not a recovery, and caution against forecasting from two months of data. Over the same stretch, the click rate on results with no Overview rose. That is not a collapse to zero; it is a curve finding a new level — a very different story from the one that says search clicks are ending.
How to Read Any CTR-Impact Claim
The figures in this topic travel fast and lose their footnotes on the way. Four questions tell you whether a click-impact number means anything — ask them of every claim you meet, including the ones on this page.
Which Queries?
Every search, or only the ones an AI Overview actually appears on? Branded or non-branded? A number for “all searches” and a number for “affected keywords only” are not the same claim, and the second is almost always the larger drop.
Which Baseline?
Measured against what — the same keywords before Overviews existed, a different group of keywords without one, or a forecast of what might have happened? The baseline chosen decides how big the drop looks.
Which Period?
One month or a full year? A single snapshot or a trend? A figure from a two-month window can move a great deal, and a decline measured at one moment can read very differently a quarter later.
Cited, or Merely Present?
A page named inside the answer and a page merely sitting in the results below it earn very different click rates. A blended average buries that divide, which is often where the real story lives.
A percentage quoted with none of these attached — a lone figure that travels from article to article, detached from the study that produced it — tells you almost nothing. In this subject the most-repeated numbers are often the ones whose method no one can name. A figure you cannot trace is not evidence; it is a rumour with a decimal point.
What Does This Mean for Your Traffic?
Not that search is over, and not that clicks have vanished. The measured read is narrower and more useful: the click compresses on one kind of query — the informational, non-branded question an AI Overview is built to answer outright — and holds up elsewhere.
Two consequences follow, both measured rather than predicted. One: on the affected queries, being the page cited inside the answer matters more, because a named source keeps a share of a smaller pool — the same divide the studies above already show. Whether an assistant can reach, read, and name your site at all is the visibility question, walked in Is Your Website Visible to AI? and diagnosed layer by layer in Why Doesn’t ChatGPT Recommend My Business? The other: on the many searches where no Overview appears, nothing here changes — the position curve still rules, and page one is worth what it was.
How Can You Check Your Own Exposure?
You do not have to take an industry average on faith. You can read your own exposure from your own data, free, today — no tool to buy, no software to download.
In a private browser window, run a handful of the search terms you rank for and note which of them now show an AI Overview above the results.
In your Search Console Performance report, read clicks, impressions, and average CTR for those same queries over a recent stretch.
Put the CTR on your AI-Overview queries beside the CTR on queries that show none. The gap between them is your own exposure — not a headline’s.
Read it as a signal, not a verdict. Search Console does not separate AI-Overview impressions from the rest of your search data, so the gap is directional, not a clean measurement — the same honest limit behind every figure on this page. The free scan reads the mechanical side of your visibility the same way: what it can measure, it measures; where a thing cannot be known, it says so.
Notes on Sources
Every figure above is traced to a named, dated study, cited here in full. The baseline curve is the same published research behind our companion piece.
- Amsive — April 2025. Google AI Overviews: New CTR Research. Average organic CTR across 700,000 keywords, split branded versus non-branded. A 15.49% average fall where an AI Overview appears, 19.98% on non-branded keywords, against an 18.68% rise on the branded keywords that rarely trigger one.
- Pew Research Center — July 2025. Google Users Are Less Likely to Click on Links When an AI Summary Appears. A real browsing panel of 900 U.S. adults over 68,879 searches in March 2025. A search result was clicked in 8% of visits with an AI summary present versus 15% without, and a link inside the summary in 1%.
- Seer Interactive — April 2026. AIO Impact on Google CTR: 2026 Update. Organic CTR per impression across 53 brands and 2.43 billion impressions, January 2025 to February 2026. Click rate on AI-Overview results near 1.3% in December 2025 and about 2.4% by February 2026, with cited brands earning roughly 120% more organic clicks per impression than uncited ones.
- The baseline curve — the position-one click-through figure used above is the same published click-through research cited in What Page One Is Worth, read from the same sourced-data library so the two pages can never disagree.
- On method — each figure is read from the named study’s own report, dated, and stated only for what that study measured. The three are not merged into one number, because they measured different things: a keyword click-through rate, a share of search visits, and a click rate over time. Where a study does not publish a detail, we do not fill the gap with a guess.
- On what cannot be isolated — no public tool yet separates AI-Overview clicks and impressions from the rest of a site’s search data, which is why the self-test above reads as a directional signal and is labelled that way.
Published 3 September 2026. These studies are dated; where a newer reading exists, the date on this page is how we keep the comparison honest.
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