Google AI Overviews: Tracker, Timeline and Statistics

The figures everyone quotes from Pew, a result click on 8% of visits with an AI Overview against 15% without, now have a peer-reviewed paper behind them. The extended abstract went to the IC2S2 computational social science conference and was posted to arXiv on 5th August by Athena Chapekis, Anna Lieb, Sono Shah and Aaron Smith of the Pew Research Center.

Read it as the same study, not a second one. It uses the same 900 US adults on the Ipsos KnowledgePanel Digital panel, monitored from 1st to 31st March 2025, 91,121 visits to Google Search pages and 68,879 distinct queries, all of which our existing entry covers.

What is new is the modelling. Two logistic mixed-effects models, fitted over 91,121 observations from 647 panelists, test whether the gaps hold once query attributes and each panelist's own habits are controlled for. Both do, at p < 0.01.

That addresses the standing objection to every click-loss study: that overviews turn up on exactly the queries nobody was going to click anyway. Holding those attributes constant does not make the association go away.

The paper also names the attributes that predict an overview: longer queries, queries that begin with a question word, and queries containing both a noun and a verb. Phrase a search as a full-sentence question and it is likelier to be answered on the page.

Two limits, both the authors' own. They state that observational data means "we are unable to make causal claims", which is what separates this from the randomized experiment published in July. And the 1% source-click figure counts only the first three cited sources, the desktop maximum shown in April 2025, so clicks to a source behind "Show all" are outside it.

Two months after the Generative AI performance reports arrived, the rules that decide what an AI Overviews impression means deserve a close read. They sit in Google's Search Console documentation rather than in any announcement.

The impression rule is stricter than the one for ordinary results. Google's help page says that for a link inside an AI Overview, "to be counted as an impression, the link must be scrolled or expanded into view". A classic listing only has to be served on the results page; an AI Overviews link has to reach the reader's screen, which is a meaningfully different threshold on a surface where the citations sit below and inside a generated answer.

Position works differently too. "An AI Overview occupies a single position in search results," Google says, "and all links in the AI Overview are assigned that same position." Average position therefore tells a publisher where the overview sat on the page, and nothing about where their link sat within it. The ordering signal that SEOs are used to reading does not exist inside an overview.

Clicks are the straightforward one: clicking a link to an external page in the AI Overview counts as a click, in the main performance report.

What the Generative AI report carries is narrower. It reports impressions for AI Overviews and AI Mode with no queries, no clicks, no click-through rate and no average position, and it excludes Search Labs experiments. Google is still "rolling out this report to a subset of website owners".

There is an aggregation trap in it as well. Chart data is aggregated by property, so in Google's own example, "if two results from the same site appeared in a generative AI search results feature, they count as a single impression"; the page table aggregates by URL instead. Page-level impressions will not always add up to the chart total, and the difference is the dimension rather than an error.

Read against the statistics on this page, the shape of the problem is unchanged. Every click figure a publisher has comes from a third-party panel; the only first-party number Google offers is an impression count, defined by rules that make it neither a visibility rank nor a traffic measure. Carolyn Shelby, writing for Search Engine Journal, draws the practical line: do not pour generative and ordinary organic impressions into one bucket, and do not compute a blended click-through rate from them.

A note on the date: Google's help pages carry no revision date, so this entry is dated to the analysis that set the rules out, not to a change in the documentation.

Two weeks after Google confirmed the Top Stories carousel inside AI Overviews was live, NewzDash put numbers on it. On trending-news searches that produced a Top Stories carousel at all, the carousel sat inside the AI Overview instead of in its usual position further down the page 15.5% of the time in the US, per Press Gazette's report of the data, and 17.5% of the time in the UK.

The analysis covered the 30 days to 28th July and more than 17 million Top Stories across more than 40 countries. Only the US and the UK showed the format at all, which is the first evidence of where it actually runs. Google had confirmed only the US.

Entertainment queries trigger it most: 35.1% in the US and 31.5% in the UK. World news follows at 31.8% in the US against 18.9% in the UK, then sports at 16.5% in the US against 21.1% in the UK.

The important part is the mechanic, not the percentages. Press Gazette reports the embedded carousel appears instead of the classic Top Stories box below the AI Overview, not in addition to it, so on those searches the publisher links move up the page rather than multiply.

NewzDash founder and CEO John Shehata calls it "a double-edged sword for publishers". The upside, in his words: "Instead of placing a large AI-generated answer above the news results, Google is putting publisher headlines, images and links directly into that experience." He adds that there is no comparative clickthrough data yet, so the gain is expected rather than measured.

The other edge is the opt-out. Shehata expects publishers who use the Search Console control to exclude their content from generative AI features to lose eligibility for the embedded placement, and Google has not confirmed how that exclusion applies to the carousel. Opted-out sites may still qualify for standalone Top Stories, but he notes there is no guarantee Google shows that module elsewhere on the same page.

Read together with the rest of this page, that is a narrowing choice for a news publisher: the control that keeps a site out of AI answers now also appears to keep it out of the most prominent link placement Google has put inside them. Blocking Google-Extended, Shehata confirms separately, affects neither.

On 29th July Judge Amit P. Mehta ordered the parties in Penske Media Corporation v. Google LLC (No. 25-cv-3192) and Chegg, Inc. v. Google LLC (No. 25-cv-543) to appear for a single consolidated hearing on Google's pending motions to dismiss.

The date is 25th August 2026, at 2pm in Courtroom 10 of the US District Court for the District of Columbia. The order grants a motion Google filed in December, which the publishers had opposed.

Read against May, the scheduling is the news. When the plaintiffs asked for argument then, the court refused: "The court is well aware of the pending motions in these cases. A motion to set oral argument is unnecessary. The court will set argument, if needed, when it is prepared to address the motions."

It is now prepared to address them. These are the two leading US suits over AI Overviews and traffic loss: Chegg sued first, in February 2025, and Penske is the first major news publisher to follow, in September 2025.

A hearing is not a ruling, and both cases are still at the pleading stage, so nothing about the merits has been decided. What is at stake in August is whether either complaint survives at all.

The reason to mark the date: the same judge dismissed a different publisher antitrust case in March, holding that AI Overviews is not a separate product from Search and that publishers harmed in news cannot sue over the search market. Google will press that reasoning here. Mehta is also the judge who decided the Justice Department's search monopoly case, and the March opinion leans on his own findings there throughout.

Similarweb released its 2026 Generative AI Landscape report, and the figure that travelled was prevalence: AI Overviews now appear on 43% of searches, up from 15% a year earlier, per TechCrunch's read of the report.

Similarweb's own summary page puts it at more than 40% of US searches triggering an AI Overview, and adds a 5.4% rise in the length of a Google search since AI Mode arrived, which is the searcher-side counterpart to Google's claim that AI Mode questions run about three times longer than classic ones. The report's series runs through May 2026.

Take the prevalence number carefully. At 43% it is the highest on this page, far above the keyword-panel trackers in the statistics section (Semrush near 16% across 10 million keywords, Conductor 25.11% on an enterprise panel) and near BrightEdge's 48%, which tracks commercial verticals only.

Similarweb's data comes from a clickstream panel of real users rather than a fixed keyword set, so it is answering a different question, but the report page publishes no methodology, no panel size and no detection method for this figure, so the distance between 43% and 16% cannot be reconciled from anything Similarweb has released. Treat it as one more panel, not as a correction to the others.

The AI Mode number in the same report is far smaller than Google's, because it measures something else: visits to AI Mode rose from 126 million in June 2025 to 279 million in May 2026, more than doubling in under a year.

Google says AI Mode passed 1 billion monthly users in May 2026. The two cannot be read side by side, one counting visits inside a panel of tracked web traffic and the other counting monthly active users across the web and the Google app, so the growth rate is the usable part rather than the level.

The EU AI Act's transparency rules for AI-generated content apply from 2nd August 2026. Providers of systems that generate text, images, audio or video must mark those outputs in a machine-readable format so they can be detected as artificially generated.

A week before that date, Google signed the Commission's Code of Practice on Transparency of AI-generated Content, in a post by Karen Massin, its head of government affairs and public policy for EU institutions.

The Code was published on 10th June and had drawn about 190 signatories by late July. Signing it is the recognised way to demonstrate compliance with the marking obligation, though the Commission also allows "alternative equivalently adequate means".

Google's post points to SynthID, which it calls its "industry-leading digital watermarking technology", and to its work on the C2PA content-provenance standard. It signs with a caveat attached, warning that more regulatory complexity, while the technical solutions are still evolving, "could contradict Europe's goals for competitiveness and simplification".

The Code has a second half aimed at whoever publishes the output rather than whoever generates it. Deployers must label AI-generated text that informs the public on matters of public interest, unless it has been through human review and sits under editorial responsibility.

What none of this says is what any of it means for AI Overviews. Google's post never mentions Search, AI Overviews or AI Mode. The Code does not mention search engines, and neither do the Commission's final Article 50 guidelines, published on 20th July.

So the obvious question is one nobody has answered on the record: whether a generated answer sitting above the classic links is content that has to be marked, and what marking would look like on a search results page. We are logging the regime here, not an application of it to this surface, and we will update this entry when a regulator or Google says which it is.

The Commission issued two non-compliance decisions against Google on July 23: 460 million euros for giving its own shopping, hotels, transport and sports services more prominent placement than third-party services in Google Search, and 430 million euros for stopping Play Store developers from steering users to cheaper offers elsewhere.

It is the first DMA fine Google has been given. Google has been ordered to end the conduct, and continued non-compliance can draw periodic penalty payments of up to 5% of Alphabet's average daily worldwide turnover.

The part that matters on this page is not the fine. Alongside the decision the Commission said it will consider how Google plans to "apply the principles of the decision to AI Overviews and AI Mode, on which dialogue will continue", reported by Tech Policy Press and RTE.

The DMA rule Google just lost on is that a gatekeeper must not rank its own services above rivals on unfair terms, and that rule is now in play for the surfaces where Google decides what gets summarized and which links appear.

Nothing is decided: the plan on the table is Google's own, the Commission has made no finding on either surface, and the dialogue is open. Google said complying means "having to strip away real-time Search features Europeans love", naming hotel, flight and restaurant pricing, and has indicated it may go to court.

Google launched AI Overviews ("Aperçus IA") and AI Mode ("Mode IA") in France on July 22, in a post by Sébastien Missoffe, vice president and managing director of Google France.

Both surfaces went out the same day on desktop and mobile web and in the Google app on Android and iOS, together with the new intelligent search box; Google credits Gemini 3.5 for AI Mode's reasoning and multimodal understanding, and Search Live voice and camera input is part of the French launch.

It closes the last gap in Google's AI search map more than two years after AI Overviews reached the US, and it lands two months inside the September 23 commitment Google gave French publishers in June.

Google's own post never mentions neighboring rights, the reason France waited. It does point site owners at the Search Console control that keeps a site out of Search's generative AI features, says that control is available in France, and repeats that it is not used as a ranking signal for results outside those features.

French coverage supplies the rest: Google holds neighboring-rights contracts with about 450 French publishers and press agencies and told them in June that AI answers would also count toward those payments, per Blog du Modérateur, while Next reports that no collective agreement has been announced and negotiations are still running.

That makes France the first market where Google has said AI answers count toward what it pays publishers, and the first place where an opt-out and compensation exist side by side, so it is the test case for every other press market.

The threat went on the record in the week of July 20. USA Today Co chief executive Mike Reed said "it's time to take a stand and say enough is enough" and that he is ready to block Google if the traffic slide continues.

People Inc chief executive Neil Vogel said "turning them off and blocking them entirely is 100% on the table", with Google down to about a quarter of his company's traffic from more than half two years ago.

Reuters president Paul Bascobert said the company is "certainly looking at the economic trade-offs between search and AI summaries".

The Economist is not discussing a full exit, its VP of AI Josh Muncke noting that "traffic can be choppy and declining, but traffic is still traffic". The quotes are collected in PPC Land's write-up of reporting by the Wall Street Journal, Adweek and Nieman Lab.

The numbers behind the mood are Semrush figures the Journal cited, and they come in two forms. Comparing US organic Google traffic in June 2025 with June 2026: USA Today's national paper down 18%, Politico down 20%, CNN down 31% and Business Insider down 31%.

The Journal's corrected chart of trailing twelve-month averages is harsher on several of the same titles: the Washington Post down 44%, Business Insider down 43%, Reuters down 35%, USA Today down 28%, Time down 27%, the Wall Street Journal itself down 18% and People down 3.2%, against the Guardian up about 16% and the BBC up 15%.

The word corrected is doing work there. The Journal revised its Semrush figures on July 22, the day after publication, once a much steeper set had already been reprinted across the search industry, Business Insider having first been reported at more than 85%. The direction of the trend survived the correction, and for several titles the magnitude did not.

Search Engine Journal adds that Reddit is reassessing its 60 million dollar a year licensing deal with Google, and that Reed has been reported as prepared to delist within six to twelve months.

What makes it a threat rather than a decision is the plumbing. One Google crawl feeds both the index and the AI answers, so historically leaving the AI features meant leaving Search.

The Search Console control Google added in June is meant to break that link, keeping a site out of AI features without being used as a ranking signal elsewhere, but Google's own help documentation still describes it as rolling out to "a subset of website owners", so for most publishers the choice today remains all or nothing.

Google's response to the reporting was that its "AI features highlight links to the web and help creators and publishers grow their audiences", pointing again at the controls site owners have.

The AOP commissioned DJB Strategies to find where the declines are concentrated. The traffic half of the study covers six months across eight major UK publishing groups and 10.8 billion pageviews, about 80% of their total traffic once long-tail URLs were stripped out. A consumer survey by Ipsos sits alongside it.

Between the first and second quarters of 2025, organic Google Search referrals fell 7.1% across all participants. AOP managing director Richard Reeves, writing up the findings in Press Gazette, notes that this was the quarter Google reported 12% Search revenue growth and expanded AI Overviews significantly.

Held at that rate, the study projects Google pageviews to these publishers halving by the third quarter of 2027, before any compounding effect from readers getting used to asking an AI instead.

The averages hide most of the story. News publishers lost about 5% a quarter against 18% for the consumer and business-to-business segment, which Reeves attributes to the tighter guardrails around news in AI Overviews. Traffic was segmented by topic and content type across 147 domains.

By topic, news rose 2%, sports 37%, travel 22% and health and wellness 7%. Everything else fell, with politics down 7%, finance and business down 23% and technology down 28%.

Content type mattered as much as subject. Guide and how-to referrals fell by more than 20%, the shape of query a reader is most likely to hand to an AI answer instead. Opinion and commentary rose 4% and interviews 1%, while product reviews were flat at a 1% decline.

Crossing the two produces the widest swings in the study. News interviews gained 63% and health and wellness analysis 46%, while finance and business how-tos fell 52% and food and drink how-tos 54%. Reportage, which carried more sessions than every other content type combined, fell 4%.

What the study does not do is isolate AI Overviews. It measures Google referral traffic quarter on quarter, with no comparison of pages that drew an overview against pages that did not, so the decline cannot be attributed to any single cause on this evidence. That is why these figures are not in the statistics table on this page, where every row is an AI-Overviews-attributed measurement.

Two limits go with the numbers. The traffic window is 2025, so it predates the France launch and the merger of AI Overviews and AI Mode, and the participants are premium publishers, which Reeves says makes them unrepresentative of the smaller sites that lean hardest on programmatic revenue and can absorb a shock least.

A Google spokesperson told Search Engine Land that the Top Stories carousel inside AI Overviews is "fully live in the United States for mobile users". It appears on searches about developing topics, highlights a reader's preferred sources, and Google says more regions are planned. This is the productized version of the developing-topics carousel Google announced on May 27, first spotted in testing in late June.

It is one of the few spots where an AI Overview hands over a row of ordinary article links instead of a summary, which is why Search Engine Land reads it as something that "can improve clicks to news publishers". Whether it does is unmeasured: Search Console still reports impressions rather than clicks for AI features, so publishers cannot isolate what the carousel sends them. Two weeks later NewzDash measured how often the carousel lands inside the overview, and found the UK showing it too.

Nick Fox, Google's senior vice president of Knowledge and Information, wrote on LinkedIn that Google is "now sending billions of clicks to websites every week through AI features in Search alone", on top of the "billions of clicks to the web every day" it says Search sends overall.

As Search Engine Journal reported, it is the first time Google has attached a specific number to AI-search referrals, offered to rebut the argument that AI answers are choking off traffic to publishers.

The figure cannot be checked. Google gave no baseline, denominator or timeframe, and Search Console still reports only impressions for AI features, not clicks, so no publisher can reconcile the aggregate against its own numbers.

As Forbes noted, Google is counting total clicks across an enormous query base while the independent studies measure click rates, so both can hold at once: total clicks can rise even as the click-through rate on any single result falls, which Ahrefs put at 58% lower on the top result when an AI Overview is present.

It extends the counterpoint Liz Reid made in 2025, now with a headline number but still without the query-level data that would settle the dispute.

The Commission issued two sets of binding specification measures to Google on July 16: one opening up Android features to rival AI assistants, and one, the reason this sits on an AI Overviews page, spelling out how Google must share Search data under Article 6(11) of the Digital Markets Act.

The decision "specifies that AI chatbots offering search functionalities are eligible to receive shared data, and that, subject to anonymisation, Google should share the same data that it collects to optimise its own search services".

The Commission is explicit about why that clause exists: sharing matters "particularly" for AI chatbots with search functions "to avoid that Google Search's advantage extends to Google's AI chatbots too".

Google has owed rivals this data since the DMA took effect, but the Commission says its own offer was stripping out "between 90 and 100% of unique search queries" and "unduly restricting the potential pool of beneficiaries by excluding AI Chatbots that provide search services", so there had been "no meaningful uptake".

The new measures cover anonymised ranking, query, click and view data from free and paid search: queries entered at any access point, query language and device type, the URLs users viewed, what they did with the results and where each result ranked.

Recipients may use it to improve query understanding, indexing, and the ranking and retrieval systems that AI chatbots rely on for grounding, but they may not train general-purpose AI models on it, use it for advertising or profiling, or systematically replicate Google's results.

Eligibility is narrow: a genuine EU search service with at least 50,000 monthly EU users and two years of operation, or a startup under two years old that has raised more than 50 million euros, plus an independent audit before any data changes hands.

The clock is running, with the eligibility form and an applications page due by the end of August 2026, template licences and test samples by September, the finished dataset by November, and a final pricing offer by January 2027.

Nothing here changes what AI Overviews or AI Mode do, and the decision names neither surface. What it changes is the raw material available to everyone building against them: from next year, a Perplexity or a privacy-focused engine can ask for the query and click stream that only Google Search collects at scale, on a minimum seven-day delay and for up to five years each.

Whether that produces credible alternatives to Google's AI answers, or a compliance process that stalls the way the last offer did, is the thing to watch.

Ozone, a software platform that tracks ad opportunities and pricing for premium publishers rather than selling the ads itself, gave Digiday US and UK benchmarking data covering roughly 20 billion impressions across a cohort that includes the Guardian, News UK and Dow Jones' Wall Street Journal.

Between April and June 2026, ad request volumes, the count of chances a publisher had to show an ad, fell 39% to 41% year over year in the UK and 32% to 37% in the US. Fewer visits means fewer pages, and fewer pages means less inventory to sell.

Across the first half of 2026, combined programmatic spend in the same cohort was down 30.6% year over year, but the two markets diverged sharply: UK spend fell 14.3% while US spend fell 44%.

The difference is yield. UK eCPMs were up about 30% year over year in June against about 7% in the US, so British publishers recovered more of the loss by charging more for what was left. Ozone's Eliza Simonova called scarcity attracting higher payment "a healthy sign even as total spend declines".

"The open web is shrinking", Ozone chief operating officer Danny Spears told Digiday. Gabe Dorosz of the news-media association INMA put it in the terms the ad market has run on for fifteen years: "AI-driven traffic declines have now killed the idea that there actually is infinite supply".

What this is not is an AI Overviews measurement. Ozone counts ad requests, not overviews, and both Digiday and PPC Land's write-up attribute the contraction to zero-click AI search broadly, with Digiday noting that platforms, "particularly Google", now answer in place rather than sending the visit on.

PPC Land names a second cause outright, quoting Nova Studio's Matt Barash that "discovery has moved" from search toward social feeds. Nothing in the data separates the two, so read it as the shape of the decline rather than a measurement of what caused it.

Its value here is that it sits downstream of everything else on this page. The click studies in the statistics section measure the traffic that stops arriving; this measures what happens to the business when it does, and it is the number underneath the publishers who spent the following week saying they might block Google altogether.

On 14th July 2026 the ZAK, the licensing and supervision commission that coordinates Germany's 14 state media authorities, issued formal orders against AI search services for the first time.

Two proceedings, run by the Hamburg/Schleswig-Holstein and Berlin-Brandenburg media authorities, targeted Google's AI Overviews and Perplexity's chatbot and AI news page. The ZAK says this is the first time German media law has been declared applicable to AI search and AI chatbots at all.

The central finding is the one publishers have been arguing for two years: AI answers are the provider's own content, not a display of someone else's, so the liability privilege in the EU's Digital Services Act does not cover them.

"AI search engines and chatbots are content providers, and we will consistently apply German media law to them from now on," ZAK chairman Thorsten Schmiege said, per Reuters.

The specific complaint against AI Overviews is placement. The regulator says the generated answer is presented as an essential part of the results and sits prominently at the top, which leaves the classic list of links harder to find and, in its words, impermissibly discriminated against.

The chatbot half of the decision reaches further. When an AI chatbot attaches third-party material as "sources", "further reading" or whole link lists, the ZAK says it is deciding what gets found, which meets the German definition of a media intermediary and brings transparency and diversity obligations with it.

As The Decoder reports, Perplexity's order also cites a missing German representative and inadequate transparency disclosures.

The reasoning rests on a legal opinion the media authorities published three weeks earlier, by Prof. Jan Oster and Prof. Christoph Busch, on how integrating AI applications into search engines sits with German media law.

This is a regulator arriving at the conclusion the Regional Court of Munich I reached seven weeks before it, that a generated answer is Google speaking. The difference is reach: the court settled one dispute between named parties, while the ZAK is applying an ongoing supervisory regime to the product itself, with a complaint route for publishers who believe they are being disadvantaged.

Google told Reuters its AI summaries "enhance the search experience in Germany" and "help users discover new content and ask follow-up questions", and said it will appeal. Perplexity declined to comment beyond saying it complies with GDPR and holds SOC 2 Type II certification. The orders are not final while appeals are open.

Common Sense Media's Youth AI Safety Institute rated Google Search's AI features "Unacceptable Risk", its lowest tier, for children. Across 2,624 test interactions in seven test plans, AI Overviews and AI Mode failed seven of the Institute's eight AI principles and all five severe-harm "Red Lines". The assessment's headline: "Google Search's AI answers are not safe enough to be kids' default answer machine."

AI Overviews, the answer that appears automatically above the results, fared worst: it pointed users to an appropriate resource in only 58% of 214 crisis prompts, where AI Mode managed 77%, and it missed 29% of explicit statements referencing suicide.

As PBS reported, neither feature can be turned off by parents or schools, unlike Google's standalone Gemini app, even though roughly three-quarters of US teens and tweens now use AI answers in search. Google said its AI features have "strong quality and safety guardrails" and called the testing flawed for using "a narrow set of ambiguous and contrived queries".

In a post marking Google Images' 25th anniversary, Google said it is bringing image generation directly into AI Overviews in Search: "Using our latest Nano Banana model, this update transforms a simple text prompt into a high-quality, custom visual made completely from scratch." 9to5Google identifies the model as Nano Banana 2 Lite.

Google says the feature "will start to roll out over the coming weeks in English, for all regions that currently support image creation in AI Mode", so availability follows the existing AI Mode image-creation footprint rather than the full AI Overviews footprint. It extends the merged AI search experience: the generative image tools already in AI Mode now sit in the overview above the results.

What happened next, for anyone reading this later: generated illustrations were first spotted in live overviews on 13th August, and Google stopped that test on the 17th, calling it a small experiment. This announcement has not been withdrawn.

Further Exploration, the first of the five link improvements Google announced on 6th May, started turning up in live results. SERP analyst Brodie Clark posted examples on X and in his SERP Alerts newsletter on 2nd July, describing "an early iteration of this within AI overviews, which features a 'further exploration' section at the end of the answer".

Google's own description of the feature, from the May announcement, is that "you'll start to see suggestions for where to go next at the end of many AI responses", linking to "unique articles or in-depth analyses on different facets of your topic". The sighted version matches that: a block of suggested reading below the generated answer.

The reason it gets its own entry, separate from the announcement, is direction. Almost every AI Overviews change this page tracks moves in one direction, with the answer absorbing more of the work the click used to do. This one adds outbound links, and it sits at the end of the response where a reader who was not satisfied is most likely to still be looking.

Treat it as a sighting rather than a launch. Google has not announced a rollout, named a market or given a date, and there is no measurement of how often the section appears or what it does to clicks. What is established is that the feature has left testing and is reaching real searches.

Saharsh Agarwal of the Indian School of Business and Ananya Sen of Carnegie Mellon's Heinz College ran what they describe as the first randomized field experiment on AI Overviews, "The Impact of Google AI Overviews on Publisher Traffic and User Experience".

A custom browser extension recruited through Prolific put 1,065 US desktop Chrome users into groups: some saw Google normally, some had AI Overviews hidden, and the rest were sent to AI Mode.

Across 396 control and 374 treatment users the study analysed 68,089 unique searches, with an AI Overview present on roughly 41% of queries. Every other click figure on this page compares queries that happened to have an overview with queries that did not; this one changes the overview and holds the user constant.

Outbound organic clicks rose from 0.37 per search to 0.62 when the overview was hidden, and the probability of a search ending with no click fell from 0.73 to 0.54, which the authors put at a 39.8% reduction in clicks attributable to AI Overviews.

The effect sits almost entirely on informational queries, worth about 0.26 extra clicks per search; navigational and transactional estimates were inconclusive.

The June revision added the part that matters most for the argument Google has been making: across bounce rate, quick returns to the results page and time on site there was no statistically significant difference between the clicks sites get with overviews and the extra ones they get without.

Google's public position is that click quality is up even if volume moved; on this panel the recovered clicks were ordinary clicks.

Two caveats belong with the numbers. It is an SSRN working paper that has not been through peer review, first posted in April 2026 and last revised on 17th June, and 1,065 self-selected desktop Chrome users in the US is a small panel next to the multi-million-keyword trackers elsewhere on this page. What it buys in exchange is causality, which none of the others can claim.

SparkToro's zero-click study, run on Similarweb desktop and mobile clickstream data for US Google searches from January to April 2026, found searches ending without a click 68.01% of the time, as Search Engine Land reported. That is 7.56 points above the 60.45% SparkToro measured in 2024, against 64.82% in 2020 and 50.33% in 2019.

Over the two years to 2026 the share of searches producing at least one click fell 9.51 points, a 22.9% decline, while the share that led to another Google search rose 7.2 points. Searchers are not only clicking out less, they are staying inside Google and searching again.

What the study does not do is attribute the shift to AI Overviews. It measures clicks, not overviews, and the AI-answer figures it cites for context (overviews on more than 20% of searches, top-result click-through down nearly 60% where one appears) come from the same third-party trackers already in the statistics section.

SparkToro also cautions that its year-to-year comparisons rest on different providers, panels and methodologies, so the 2019 to 2026 line is a trend rather than a like-for-like series. Its own 2019 figure is the useful check on any single-cause story: half of all searches already ended without a click five years before AI Overviews launched.

The AI Mode figure has no equivalent anywhere else on this page. Just 0.34% of searches in the panel moved into AI Mode across those four months, which SparkToro says means the tab "played only a limited role" in the click decline.

That does not contradict Google's 1 billion monthly users, which counts people rather than share of searches, but it is the clearest illustration yet of the gap between the two: a very large user base and, on this panel, a very small share of actual search volume.

In the period measured, whatever was happening to clicks was happening on the ordinary results page with an overview on top of it, not inside the AI Mode tab.

The UK Competition and Markets Authority, using the strategic market status it gave Google in October 2025, ordered Google to let publishers stop "their content being used to power AI features in search, such as AI Overviews" without losing their normal search rankings.

The CMA calls the opt-out a world first, and it is the first binding regulatory remedy against AI Overviews anywhere. Sarah Cardell, the CMA's chief executive, framed it as bargaining power: "With features like AI Overviews rapidly reshaping online search, it is crucial that content publishers, including news organisations, have appropriate bargaining power over how their content is used."

Three requirements beyond the headline opt-out matter for site owners. Google must also let publishers "opt-out of allowing their content to be used for the 'fine-tuning' of AI models", a separate lever from the AI-features opt-out and from the Google-Extended token that governs Gemini training.

It must attribute publisher content "using clear links" in AI-generated results. And while it has nine months to implement everything, the CMA says it "expects important parts of the controls to become available to publishers well before that deadline", with compliance reports carrying key data and metrics due every six months for the first year.

The order grew out of the conduct-requirements consultation the CMA opened in January, and Google shipped the Search Console side of it the same day the order landed.

On 28th May 2026 the Regional Court of Munich I granted a temporary injunction (case 26 O 869/26) barring Google from spreading false factual claims about two Munich-based publishers through its AI-generated search overviews.

For certain queries the overview had linked the two companies to scams, subscription traps and dubious business practices, mixing them up with genuinely questionable firms and drawing connections that appeared in none of the sources it cited.

Google must remove the material and stop its systems generating comparable claims about them.

The reasoning is what makes it a landmark. The court found the AI function "generates a coherent, flowing text" that "appears as direct information from Google, not as a mere forwarding of third-party content", as heise reports, and treated Google not as an intermediary passing on someone else's words but as the direct author of its own false statement.

That is the search safe harbour that has protected result pages for two decades, and it does not extend to a generated answer. heise notes the decision goes further than an earlier Frankfurt case, which declined a cease-and-desist application rather than banning specific claims.

Two caveats. This is summary proceedings, a preliminary injunction rather than a final judgment, and Google retains the right to appeal; at the time of the reporting Google had not commented.

It also binds Google only as to these two publishers and these claims. What travels is the principle, and it arrived four days before the CMA order: within a week, AI Overviews acquired a publisher opt-out in the UK and an author in Germany.

Any answer engine that generates prose about identifiable people or companies now has a European precedent to reckon with, which is the same question the Ontario defamation suit puts to a Canadian court.

Google brought preferred sources into AI Overviews and AI Mode: websites a searcher has picked in Search personalization settings are now clearly labeled when they appear in AI responses. Product manager Duncan Osborn wrote that "people are twice as likely to click through to a Preferred Source" and that more than 345,000 unique sources had already been selected.

9to5Google noted the labels initially appear only when a chosen site naturally surfaces in a response, with Google planning to have preferred sources appear more often in AI features over time; sources are managed at google.com/preferences/source.

The lever had become usable outside English four weeks earlier, when preferred sources expanded to every language Google Search supports. The same announcement added a prominent carousel that highlights preferred sources on searches about developing topics, promised a similar carousel of perspectives from forums, discussions and social media, and expanded the "Highly Cited" badge to more web article links.

For publishers this is a rare direct lever inside the AI answers: readers who pick a site see it labeled, and click it more.

Google announced AI performance insights in Merchant Center, a report for retailers on how their products perform when a shopping journey begins in an AI answer.

It covers three surfaces together: AI Overviews in Search, AI Mode and the Gemini app.

The report has four parts. Share of voice benchmarks a brand's visibility "against brands similar to yours on shopping journeys starting from AI Mode, AI Overviews, or the Gemini app".

Shopping funnel performance splits that visibility across the discovery, evaluation and purchase stages. Product term insights show which product terms are popular and what share of them a brand holds. Product attributes insights score attribute completeness, flagging the structured data a feed is missing.

What makes it notable on this page is who it is for. The Search Console generative AI reports that shipped a week later measure impressions for site owners; this measures competitive share for retailers, on the same surfaces.

Neither reports clicks, so the gap between appearing in an AI answer and getting traffic from it stays unmeasured in Google's own tooling.

Two caveats. Google said the report "will be rolled out to the U.S., Canada, Australia, India, and New Zealand in the coming months" and has announced neither a date nor general availability, so this is a commitment rather than a shipped feature.

And share of voice is Google grading visibility on its own surfaces by its own definition, with no published methodology behind the benchmark. PPC Land covered the announcement the same day.

Eric Van Buskirk and his team at ClickStream Solutions analysed anonymized clickstream data provided by Surfer SEO, covering about 846,000 US Google Search sessions from February and March 2026, and published the findings in Search Engine Journal.

The study's own methodology page puts the total at about 860,000 sessions rather than 846,000; the write-ups all use the lower figure, so that is the one quoted here.

Cursor position was sampled once a second, up to 60 samples per session, recording cursor and viewport coordinates and a timestamp. Three datasets were used: a balanced set of 74,848 sessions, a representative set of 99,994 and a filtered set of 99,994 drawn from 238,280, dropping sessions with fewer than 3 or more than 25 samples. Comparisons used Mann-Whitney U and Kruskal-Wallis tests.

The headline finding is about search intent. With no overview on the page, 12% of navigational searchers were still active at 21 seconds against 32% of local searchers, the long-standing pattern where intent predicts dwell time.

With an overview present, all five intent types (informational, local, navigational, transactional and video) cluster between 41.9% and 48.5% at 21 seconds, and between 91.9% and 93.1% at three seconds. Navigational sessions alone go from 12% to 46%.

The cursor measures point the same way. With an overview, cursors were still about 44% of the time against 29% without, yet covered 83% of the viewport against 66%, which the study reads as evaluating rather than scanning. On navigational queries, cursor spread widens from 8% to 27.5%.

Scrolling stops being one directional. The share of sessions that reverse direction at all rises from 51% to 59%, and among those that do, the median session spends 47.5% of its scrolling going back up the page against 27% without an overview. On navigational queries that share goes from 23% to 44%.

What this study does not contain is a single click or traffic figure, and it comes with limits of its own. "Active" means a session was still producing cursor samples, which the methodology page says is not evidence anyone was reading intently, and cursor position is treated as an attention signal rather than as gaze.

Surfer's panel is made up of marketing-interested users and may skew towards search-savvy behaviour, although only 1.1% of the sessions were marketing-related queries. All of it is US data. Read alongside the click studies in the statistics section, it describes the deliberation that happens before a click, not the click itself.

Kevin Indig, who published the findings the day before in his own newsletter, draws the practical conclusion for site owners: on a page with an overview your listing is read more than once, so the title and description are competing in a slower, more comparative environment than rank position alone suggests.

At I/O 2026 Google merged AI Overviews and AI Mode into one integrated search experience across desktop and mobile worldwide. The overview is now the quick answer, follow-ups continue into an AI Mode conversation, and both launch from what Google called its biggest search box upgrade in more than 25 years.

Gemini 3.5 Flash became the default model for the merged experience globally, and Sundar Pichai's keynote put AI Overviews past 2.5 billion monthly active users and AI Mode past 1 billion.

The merger formalizes what the January handoff started: AI Overviews are no longer a feature bolted on top of the results but the entry point to Google's AI search. Google Marketing Live, held alongside I/O, previewed Gemini-generated conversational ad formats for the new experience.

SISTRIX used its search visibility index to estimate how often an AI Overview supplants links to a section of a major UK newsbrand, and gave the results to Press Gazette. The window is 14th January to 24th April 2026.

Health is the most exposed vertical by a distance at 72%. Tech follows at 49%, then travel at 39%, lifestyle at 37% and money at 35%.

At the other end, football sits at 5% and puzzles at 7%, with TV and wider sport both at 15%. Press Gazette attributes part of that to the nature of the results and part to Google not running AI Overviews on breaking news.

Steve Paine of SISTRIX draws the operational conclusion for publishers: "The results here show that some topics carry much higher risk than others. If your business model relies on clicks from search, assess the exposure rate and consider focusing on low-exposure topics and niches."

He is blunter about why health tops the table: "Health is a high-value topic and Google appears to want to take control of that. Other topics such as sports, that might be harder or more expensive for Google to track, have a much lower rate of exposure."

The method has real limits. Nine newsbrands were included (the Guardian, Daily Mail, Telegraph, Times, Independent, Sun, Mirror, Express and CNN), chosen from the most visible UK news sites in search and filtered to those whose URLs mark content type clearly. Not every brand appears in every topic, because each breakdown needs a cleanly defined section.

It is also UK data. Press Gazette says it understands the pattern tracks closely with US results, which is the paper's understanding rather than a published measurement, so treat the numbers as UK figures until someone publishes the American ones.

Press Gazette pairs the exposure rates with SISTRIX's finding that top-result click-through falls from 27% to 11% when an overview appears. That figure is the German keyword study already on this page, restated, not a separate UK measurement, so the two should not be read as corroborating each other.

Two publisher figures in the same piece set the scale. Healthline was the fastest-falling major UK news site in March, down 48% year on year on Ipsos iris data, and People Inc, whose Google traffic has dropped 63% in two years, is moving away from evergreen content towards reporting new information.

Most measurement on this page finds AI Overviews taking clicks away. A working paper by Peibo Zhang, Ruomeng Cui and Dennis J. Zhang finds the opposite for one platform, and the design behind it is unusually clean. It is posted to arXiv and not yet peer reviewed.

The identification trick is Google's own content policy. Safe-for-work subreddits are indexed and can be cited in AI Overviews, while not-safe-for-work subreddits are indexed in organic search but barred from AI Overview summaries.

That gives a treatment group and a control group inside one site. The authors built a balanced panel of public subreddits from the Arctic Shift archive and tracked daily comments and daily unique commenters from 1st January 2024 to 31st July 2025, treating the 15th August 2024 international rollout as the treatment date.

Daily comments in safe-for-work communities rose 12.0% against the control, and daily commenting users rose 12.4%. Because those two rates are nearly identical, the growth came from more people joining discussions rather than existing commenters posting more.

The gain is not spread evenly. The authors split content into search goods, where a fact can be summarised, and experience goods, where the value is opinion, advice and discussion. Experience-good communities responded 2.3 to 2.8 times more strongly.

Their reading is that a static summary cannot substitute for a discussion thread, so it works as a discovery route into one instead. The same framework predicts the negative effect other researchers have measured for Wikipedia.

Then AI Mode arrived. Extending the panel to December 2025 and using the 21st August 2025 global rollout as a second treatment date, the experience-good premium falls by 59% for commenting users and turns slightly negative for comments.

The authors argue that this is the interface rather than growing trust in AI answers. A trust story predicts the decline should land on search goods, where the summary already answers the question, and it lands on experience goods instead.

Read carefully what this does and does not measure. It counts comments and commenters inside Reddit, not clicks, referral sessions or publisher traffic, and it covers one text-discussion platform.

So it is not evidence that AI Overviews send traffic to your site, which is why we have kept it out of the statistics table. It is evidence that the direction of the effect depends on what a site hosts and which interface a searcher uses.

Haofei Xu, Umar Iqbal and Jacob M. Montgomery of Washington University in St. Louis ran 55,393 trending queries across 19 topic categories between 13th March and 21st April 2026, capturing 7,583 AI Overviews. The paper is a preprint under review.

Take the activation number with its corpus attached. Overall activation was 13.7%, but these are Google Trends queries and 51.4% of them are sport, so this is a specific slice of search rather than a general prevalence estimate.

Inside that corpus the phrasing split is stark. Queries whose first word is one of fifteen interrogatives (who, what, where, when, why, how, which, is, are, was, can, do, does, did, has) triggered an overview 64.7% of the time against 9.5% for everything else.

The source-selection finding is the one to act on. Averaged across the overviews, 29.8% of cited domains appeared nowhere on the corresponding first page, and at URL level 28.5% came from hosts the first page did not surface for that query.

Citation is also broader than ranking. The top five hostnames account for 20.0% of AI Overview citations against 39.1% of first-page citations, and 56.3% of the hosts cited across the 40 days were cited exactly once.

The five most-cited hosts were youtube.com at 5.49%, en.wikipedia.org at 4.39%, facebook.com at 3.68%, instagram.com at 3.65% and usatoday.com at 2.80%.

On source quality the study cuts against the common complaint. Cited domains scored higher on the paper's credibility measure than the first-page results shown beside them, 0.732 against 0.645, and the off-page citations scored higher still.

Fidelity is where it gets uncomfortable. Decomposing the overviews into 98,020 verified claims, 11.03% were not supported by the sources cited: 6.98% mentioned by no cited source, 2.66% contradicted by one, and 1.39% where the cited sources disagreed.

The authors bracket that figure themselves rather than leaving it to a reader. Their pipeline does not crawl social and video sources, so they put the floor at roughly 5.3% if every such claim turned out to be supported, and call the combined omitted-and-incorrect rate a conservative ceiling.

The publisher economics are measured indirectly but plainly. Of the 61,212 URLs cited, 50.63% carried visible advertising, and the authors call that a lower bound because they treat uncrawled social and video pages as carrying none.

Google's own inventory comes through untouched. Where sponsored ads and an overview appeared on the same page they occupied separate regions, with no sponsored slot inside the overview container, so the overview adds to Google's ad space while substituting for the click to the publisher.

Google announced five link changes for AI Mode and AI Overviews, framed as helping people explore the web.

They are: a Further Exploration section with suggestions for where to go next at the end of many AI responses, more links placed directly next to the text they support, a hover preview showing the website name or page title before a click, labels that make links from a searcher's active news subscriptions stand out, and previews of perspectives from public discussions and social media with the creator or community named.

Search product vice president Hema Budaraju wrote that in testing people were "significantly more likely to click links that were labeled as their subscriptions". Coverage framed the changes against the click-loss studies this page tracks, and the preferred-sources rollout three weeks later extended the same idea from subscriptions to any site a reader chooses.

Ashley MacIsaac, the Juno-winning Cape Breton fiddler, filed a statement of claim against Google LLC in the Ontario Superior Court of Justice in February, seeking at least C$1.5 million.

An AI Overview about him stated he had been convicted of sexual assault, internet luring involving a child and assault causing bodily harm, and that he was listed on the national sex offender registry.

None of it was true: the summary had folded in coverage of a different man in Atlantic Canada who shares his surname. The damages sought are split into C$500,000 each of general, aggravated and punitive damages.

The harm was immediate and offline. The Sipekne'katik First Nation confronted him with the summary in December 2025 and cancelled one of his scheduled concerts, later issuing a public apology.

Billboard Canada quotes him saying "I feared for my own safety going on stage because of what I was labelled as".

The claim argues Google "knew, or ought to have known, that the AI overview was imperfect and could return information that was untrue", and puts the liability question plainly: "If a human spokesperson made these false allegations on Google's behalf, a significant award of punitive damages would be warranted. Google should not have lesser liability because the defamatory statements were published by software that Google created and controls."

Google has not commented on the suit; in December it said AI Overviews are "dynamic and frequently changing" and that it uses error cases to improve its systems. It is the first high-profile case brought by an individual rather than a publisher or a company, and it asks a Canadian court the question the Munich court answered three weeks later in Germany: when a generated answer defames someone, is that Google speaking.

SISTRIX tracked 82,619 prompts once a week for 17 weeks across AI Overviews, AI Mode and ChatGPT Search in six countries, and found AI Overviews by far the most stable of the three. An average overview cites about 11 domains, and 8 of them are there every week.

That stability is unevenly spread. In 53% of prompts not a single source changed across the whole 17 weeks. In 28% there were isolated changes. In the remaining 19% the sources churned as fast as AI Mode's, at 46% new domains a week.

The study checked that the frozen half is not a measurement artifact. For 87% of those stable prompts the generated answer text changed from week to week while the cited domains stayed identical, so Google writes new sentences every week and draws them from the same eight sites.

For a publisher that is blunter than any click figure in the statistics section. Being cited is durable, and so is not being cited. The study's own summary: "Once you're in, you stay in. If you're not in, you don't get in either."

The comparison with AI Mode is the other important finding. On the same prompt the two surfaces cite different domains 83% of the time, an overlap of 0.17 on the Jaccard index, and AI Mode replaces 56% of its cited domains weekly against ChatGPT Search's 74%.

One caveat on that overlap. The measurement window closed on 8th April 2026, six weeks before Google merged AI Overviews and AI Mode into one experience at I/O, so it describes the two as they were before the merger.

Content type predicted durability better than anything else measured: news articles held a place in the stable core only 1.4% of the time, the lowest of any category, while video was highest at 24%.

The panel is SISTRIX's own AI research index, so this is vendor panel data like the rest of the statistics section rather than ground truth, and the study says its figures are conservative: measured per URL instead of per domain, the weekly drift runs about 15% higher. PPC Land covered it the day it was published.

Google rolled preferred sources out globally in all supported languages on April 30, after running the feature worldwide in English only since late 2025. Readers add outlets with the star icon next to Top Stories or at google.com/preferences/source, per 9to5Google.

Google's numbers at the time: readers are twice as likely to click through to a site once they have marked it as a preferred source, and more than 200,000 unique sites had been picked (a figure Google put at 345,000+ four weeks later).

It earns a place on this page because of what happened next. On May 27 Google extended the same selections into AI features, so a reader's picks are labeled inside AI Overviews and AI Mode answers, one of the few direct publisher levers in AI search.

Until this expansion that lever only worked for English-language readers. Search Engine Journal notes that Google describes the control as working alongside its ranking systems to up-rank sites a user has asked for, while its documentation is explicit that preferred-source picks do not override relevance.

Researchers at the New Jersey Institute of Technology and co-authors compared what Google Search, AI Overviews and Gemini 2.5 Flash retrieve for the same query, and published the result at SIGIR 2026. All responses were collected on 7th and 8th December 2025.

The scale is 14,212 queries, including an 11,500-query benchmark the authors released publicly. Results came through SerpAPI simulating a mobile device in Newark, New Jersey, with a separate desktop sample run as a check on the result.

Their prevalence figure is 51.5%, measured on the ORCAS subset of representative real-user queries. Across the whole benchmark, which is weighted towards questions and product queries, it is 65.6%.

The source comparison carries a lesson for anyone tracking citations. Jaccard similarity between the engines' retrieved sources runs between 0.11 and 0.18, so on average only 18% of the sources returned by either an AI Overview or the first page are returned by both.

That 18% is not the same measurement as the AI Overviews against AI Mode overlap already on this page. This one compares an overview against the first page of the same search, while the Ahrefs and SISTRIX figures compare two AI surfaces with each other.

Now the finding that bears on a robots.txt decision. Sites that disallow Google-Extended were significantly less likely to be retrieved by AI Overviews, in a linear probability model with query fixed effects, despite Google stating that the token does not affect AI Overview access.

The authors flag it as surprising rather than damning, and two limits belong with it. The estimate is relative to the other engines in the comparison, because a source had to be retrieved by at least one of them to enter the dataset at all.

And an association in a single December 2025 snapshot is not a demonstrated cause. Sites that block AI crawlers differ from sites that do not in ways this design cannot separate out, which the paper does not claim to resolve.

Google's documentation has not changed and we have not restated it here. The token governs Gemini training and grounding, and Google says it "does not impact a site's inclusion in Google Search nor is it used as a ranking signal in Google Search". Our Gemini crawler explainer sets out what it does control.

Two further results are useful for context. Both generative surfaces were less likely than classic search to retrieve popular, government and education domains, and more likely to retrieve Google-owned properties.

AI Overviews were also less consistent than classic search across repeat runs of the same query and across small edits to its wording, which is a reason to be careful reading any single citation check as a stable result.

Seer Interactive's 2026 update, drawn from 5.47 million queries, is the first large dataset to show click-through rates on AI Overview queries moving back up: organic CTR recovered from 1.3% in December 2025 to 2.4% in February 2026.

The more actionable finding: brands cited inside an AI Overview earn roughly 120% more organic clicks per impression than uncited brands on the same queries. Recovery or not, CTRs remain far below the pre-AIO baseline (Seer's September 2025 analysis had informational-query organic CTR down 61% since June 2024), so the remaining clicks concentrate on whoever is cited in the answer.

The clearest published split of AI-era publisher damage by content category comes from an ad exchange rather than a search tool. Index Exchange analysed 1,200 publishers on its platform through 2025 and published the result on 31st March 2026.

Its headline finding: "69% of publishers experienced year-over-year declines in ad opportunities, our closest proxy for monetizable traffic". Ad opportunities are slot requests, the ad calls a publisher's pages generate, so this measures monetization rather than traffic.

The split is the useful part. Categories built on information-dense, answerable content saw both the largest increases in AI Overviews and the steepest declines: health and careers ad requests fell 40 to 50%. News and politics, which the company says has significantly lower exposure to overviews, fell 7%.

Index Exchange reads that as a content property rather than a favour. Breaking stories, opinion and curated judgment resist compression into one generated answer in a way a symptom list or a resume how-to does not. Marybeth McGaugh, its chief customer officer, wrote the report.

PPC Land, reporting the same analysis, puts the average decline across that 69% at 14% and says the exposure comparison was drawn against Semrush measurements of AI Overview prevalence. It also carries the counterweight the report makes itself: among highly ranked news publishers, spend sometimes rose while audience measures softened, because scarcity of trusted inventory can lift CPMs.

What this does not establish: nobody's clicks were counted here. It is a category-level correlation between overview exposure and ad calls, not a measured effect on any publisher's traffic, which is why it stays out of the statistics table on this page.

Alongside SISTRIX's per-vertical exposure rates it points the same way for health. Do not pair its 7% with the AOP study's 7.1%: one is a year of ad requests in one category, the other a single quarter of Google referrals to eight UK publishing groups.

On 20th March 2026 the US District Court for the District of Columbia granted Google's motion to dismiss the amended complaint in Helena World Chronicle, LLC v. Google LLC (No. 23-cv-3677) in full.

The plaintiffs are two small news publishers, Helena World Chronicle in Arkansas and Emmerich Newspapers in Mississippi, suing on behalf of themselves and other publishers. Their five counts ran from monopolization of general search and of online news to an unlawful tie, the Android, YouTube and DeepMind acquisitions, and Google's 2016 agreement with Apple.

The tying count is the one that matters for this page. Google argued that Search and AI Overviews are not separate products, which is what a tie requires. The court's answer: "They are correct."

Its reasoning was that the alternative proves too much. "If AI Overviews is a separate product from Google Search, then so is potentially every other type of search result Google delivers." A results page returns organic links, ads, vertical offerings and AI Overviews, and the court could not see demand for one of those as separable from demand for Search itself.

It then handed the publishers a map. What they likely meant to plead, the court said, is that the tied product is the Gemini chatbot rather than AI Overviews, and it noted in a footnote that "Gemini may very well be a separate product. Gemini is not a 'search feature' that appears on the Google SERP."

AI Overviews "today is not a chatbot and is distinct from Gemini", the same footnote adds. Keep that line in mind now that AI Overviews is the front end of one experience with AI Mode, because the product it was distinguished from keeps moving closer.

The rest of the case failed on older antitrust ground. The publishers had no antitrust standing on the search-market counts, because their injuries were suffered in online news rather than in general search, and their estimate of a 66% share of online news, inferred from total visits to Google, YouTube and Gemini, was "utterly fanciful" and "at once both wildly overinclusive and underinclusive".

The acquisition counts were time-barred. "The acquisitions of Android, YouTube, and DeepMind may very well have been anticompetitive. But Plaintiffs are 10 to 20 years too late; those claims are now stale."

What the ruling does not decide is whether AI Overviews costs publishers traffic. It is a pleading decision about who may sue and over what, and the accompanying order is final and appealable.

One detail: among the remedies these publishers asked for was letting publishers opt out of AI Overviews without being demoted on the results page, and the UK regulator ordered exactly that in June. The pattern this page keeps finding is that publisher controls arrive through regulators rather than through courts.

The same judge has Google's motions to dismiss the Chegg and Penske Media complaints in front of him, set for a consolidated hearing on 25th August 2026.

The CMA opened the consultation that produced the June order on 28th January, and it proposed exactly what publishers had been asking for since 2025: "Publishers will be able to opt out of their content being used to power AI features such as AI Overviews or to train AI models outside of Google search", plus practical steps to attribute publisher content in AI results.

Sarah Cardell, the CMA's chief executive, promised "a fairer deal for content publishers, particularly news organisations, over how their content is used in Google's AI Overviews". Responses were due by 25th February.

Google's answer, reported when the responses were published, was a qualified yes. The Register reported that Google said it would eventually let sites opt out of generative AI features in Search, and noted that "details and timelines, however, were conspicuously absent". Google made the same argument in public that month: that separating AI features from ordinary Search is a large engineering problem, because one crawl and one index feed both.

This is the step our timeline used to skip, and it is useful to remember when Google says a control is coming. The distance from "we are exploring updates to our controls" in March to a shipped Search Console toggle in June was about ten weeks, and it closed only once the CMA made it a binding requirement.

The reason to date the commitment is that it lets you check the gap between an intention stated to a regulator and a control a publisher can actually switch on.

Chartbeat segmented its global client network by size and found the damage scales inversely with the publisher. Search referral traffic to small publishers (1,000 to 10,000 daily page views) fell 60% over two years, mid-sized publishers (10,000 to 100,000) lost 47%, and large publishers (over 100,000) lost 22%.

Narrowing to a single year, page views from Google Search fell 34% between December 2024 and December 2025, and Google Discover fell 15% over the same period. Axios received the data exclusively; Chartbeat has not published it independently.

The second finding matters as much as the first. ChatGPT referrals grew more than 200% in that window, but chatbots still account for less than 1% of publisher page-view referrals. The traffic leaving search is not arriving anywhere else, which is the hole in the argument that publishers are simply being redistributed to AI platforms.

Read it alongside the click studies in the statistics section rather than instead of them. Those measure the click rate on a query; this measures arrivals at a site, so it captures everything happening at once, AI Overviews plus ranking changes plus Discover volatility plus platform shifts, and it cannot attribute the loss to any single cause.

What it does establish is the distribution: the sites with the least capacity to absorb the loss are taking nearly three times the hit of the largest ones.

BrightEdge data covering February 2025 to February 2026 across nine industries puts AI Overview presence at roughly 48% of tracked queries, up 58% year over year. Healthcare leads at 88%, followed by education at 83% and B2B technology at 82%.

That reads dramatically higher than broad-panel figures like Semrush's 15.69%, and both are right: BrightEdge tracks commercial and enterprise keywords, where Google triggers AIOs far more often than across the whole query stream. See the statistics section for how the panels compare.

SISTRIX founder Johannes Beus measured AI Overviews across more than 100 million German keywords and found them on just over 20% of them. Where one appears, "the CTR at position 1 drops from 27% to 11%, a loss of almost 60%". Scaled across the market, SISTRIX puts the cost at 265 million organic clicks a month; averaged over every keyword, including the ~80% with no overview at all, the loss is 6.6%.

The per-industry spread is the more useful finding. Click loss runs "from 1% to over 24%": recipe sites lose 1.07% and transactional destinations like Booking.com and Amazon under 2%, while news and media lose 7.37%, parenting and baby content over 24% and health portals up to 30.15%.

The pattern is the one every study keeps finding, that the exposure is not the query volume but how completely an answer can be summarized, and Google restricted health queries after the Guardian investigation in the same window this data covers.

This is the largest keyword sample on this page and the only one measuring a non-English market, which is relevant when the German 59% sits next to Ahrefs' 58% and the US randomized experiment's 39.8%. As Search Engine Journal put it, whether the gap between markets "reflects actual differences between the markets or differences in measurement methodology isn't clear from the available data".

SISTRIX is a commercial SEO analytics provider measuring its own keyword database, so this is panel data like everything else in the statistics section, not ground truth.

Sulina Connal, Google's managing director for news and books partnerships in Europe, told the FT Strategies News in the Digital Age conference in London on 11th February that Google was "exploring more granular controls" for publishers, but that building them is hard: "Because AI is integral to how search works, implementing the new controls is a complex engineering, huge engineering project."

The technical claim is real enough, one crawl and one index feed both ordinary ranking and the grounding of AI answers, but Paul Bannister of Raptive publicly noted that Google's engineering capacity elsewhere makes the difficulty hard to credit. Google shipped the control four months later, after the CMA required it.

The commercial half landed at the same event. FT chief executive Jon Slade announced that "Google and the FT have now signed a deal licensing FT journalism into a series of AI pilot projects", and Press Gazette reported Google pursuing "more focused deals" with news publishers, following December 2025 agreements with the Guardian and the Washington Post that included cash and extended display rights.

Connal said discussions with publishers were "creating change in our product". That is the pattern France later formalised: Google negotiating individually, market by market, rather than accepting a general rule.

The backdrop, in the same coverage, was Chartbeat's finding that global Google Search traffic to publishers dropped by about a third in 2025, which Google disputed by suggesting traffic had shifted toward emerging news sources. Our fuller Chartbeat breakdown published a month later. February is the month the two tracks became visible together: Google explaining why publishers could not opt out, while paying some of them for the content it was summarising.

The European Publishers Council filed a formal antitrust complaint with the European Commission over AI Overviews and AI Mode, arguing Google repurposes publisher content into AI answers that keep users on Google. It is the second formal publisher complaint in the EU, following the Independent Publishers Alliance in mid-2025, and it lands two months after the Commission opened its own Article 102 investigation into Google's AI search features.

Ahrefs' February 2026 update, based on December 2025 data, measured position-1 CTR at 0.016 when an AI Overview is present versus 0.039 without one, a 58% reduction. Its original March 2025 analysis of 300,000 keywords had put the gap at 34.5%: on this dataset, the click cost of an AIO deepened as the feature matured rather than easing.

The same day, Alphabet's Q4 2025 earnings reaffirmed AI Overviews at more than 2 billion monthly users. The two numbers together are the AIO story in miniature: enormous, still-growing reach, and worsening click economics for the sites the answers are built from.

Google made Gemini 3 the default model for AI Overviews globally, the biggest model upgrade in the feature's history, two months after routing only the hardest queries to it. On mobile, an AI Overview can now hand off into an AI Mode conversation carrying the query and answer context, which Google described as "one fluid experience... a quick snapshot when you need it, and deeper conversation when you want it".

The handoff was the first real integration between the two surfaces, and it previewed the full merger that arrived at I/O in May.

Google removed or restricted AI Overviews on a set of health queries after a Guardian investigation published January 2 documented misleading and potentially harmful health advice in AIO answers. Google disputed the investigation's conclusions while still narrowing triggering on the affected queries.

The sequence mirrors May 2024, when the "glue on pizza" failures led to restricted triggering and new guardrails within weeks. YMYL queries remain the highest-risk surface for AI answers, and this is the second time Google has pulled AIO coverage back there under public pressure.

Google expanded AI Overview ads to 11 additional countries including Australia, Canada, India, Indonesia and Singapore, on English-language queries, without an announcement. It is the first time AIO ads have run outside the United States, where they launched on mobile in October 2024 and expanded to desktop in 2025. AI Overviews stopped being a US-only revenue surface with this change, which is useful context when Google describes AI monetization as early-stage.

Semrush's refreshed AI Overviews study, tracking more than 10 million keywords, is the best longitudinal prevalence series available: 6.49% of queries showed an AIO in January 2025, the share peaked at 24.61% in July, and it settled back to 15.69% by November 2025.

The shape matters as much as the level. Google actively tunes when AI Overviews trigger, so prevalence is not a one-way ratchet and any single-month figure dates quickly. That volatility is why we report multiple panels side by side in the statistics section.

Ahrefs captured an AI Overview and an AI Mode response for the same query and compared the pair, across 540,000 query pairs for citations and 730,000 for content, using September 2025 US data from its Brand Radar index. The two surfaces cited the same URL 13.7% of the time.

Narrowing to the top three citations in each response lifted the overlap only to 16.3%. Ahrefs reads that as "87% of the time, these two systems are pulling from completely different sources to answer the same query".

The answers themselves agreed. Response pairs scored 86% semantic similarity on average, and 89.7% of them scored above 0.8 on a scale where 1.0 means identical meaning. Despina Gavoyannis and Xibeijia Guan put it plainly: "9 out of 10 times, AI Mode and AI Overview agreed on what to say".

One number needs keeping straight. The study also reports a Jaccard figure of 0.16, and that one measures words rather than sources: only 16% of the unique words in the two responses overlapped, and they opened with the same first sentence 2.51% of the time. AI Mode is not an AI Overview with more detail bolted on.

Two findings are specific to AI Overviews. They return no citations at all in 11% of responses, against 3% for AI Mode. And they lean less on encyclopedic sources: Wikipedia supplies 18.1% of AI Overview citations against 28.9% of AI Mode's.

The study states its own limit. It compares single generations, and Ahrefs' earlier work found 45% of AI Overview citations changing between generations of the same answer, so the pool each surface draws on may overlap more than one snapshot shows. The panel is Ahrefs' own index, so this is vendor data like the rest of the statistics section.

The data is from September 2025, eight months before Google merged the two surfaces into one experience at I/O 2026, so it describes them as separate products. SISTRIX measured the same divergence on a different panel in early 2026 and found the two citing different domains 83% of the time, so the split held across two panels, two methods and five months.

The European Commission opened a formal antitrust investigation under Article 102 TFEU, the EU's abuse-of-dominance rules, into Google's use of online content for AI purposes.

The Commission is assessing whether AI Overviews and AI Mode are built on web publishers' content "without appropriate compensation for that, and without the possibility for publishers to refuse without losing access to Google Search", and whether Google uses YouTube content for its own AI models while restricting rival AI developers' access to it.

Opening proceedings does not prejudge the outcome, but this is the most serious regulatory threat AI Overviews has faced, reaching model training as well as the answers themselves. It followed the Independent Publishers Alliance's June complaint over the same features; the European Publishers Council filed its own in February 2026.

The coalition that filed the first complaints over AI Overviews in Britain and Brussels, the Independent Publishers Alliance, the tech-justice non-profit Foxglove and the advocacy group Movement for the Open Web, opened a lobbying effort with the US Department of Justice.

It wants the American regulator to hear its evidence that AI Overviews has caused "substantial and irreparable harm" to independent publishers' traffic and revenue, per Digiday, which saw the letter.

Since its earlier filings the coalition interviewed a range of publishers and collected data on traffic, impressions, click-through rates and revenue. The evidence runs from large publishers with millions of clicks a day down to medium and small ones.

The letter says some of them are suffering traffic drops of up to 90%, which has forced them to close publications or cut staff drastically.

Google gave Digiday the argument it has used throughout: "Our Search AI features are intentionally built to connect people to the web, and we continue to send billions of clicks to websites every day, unlike other companies."

Its spokesperson added that people's preferences and habits are changing and that Google is improving Search to meet them "while continuing to drive immense value to the ecosystem".

The same coalition was working three regulators at once. It had already gone to the UK's Competition and Markets Authority and the European Commission, and the Independent Publishers Alliance's EU complaint is the one that put the "cannot opt out without vanishing from Search" argument on the record.

The comparison six months on is the useful part. The British route produced a binding remedy, the CMA's publisher opt-out order of June 2026. No public response from the Department of Justice has been reported.

The difference is partly procedural. This is lobbying rather than a legal filing, so unlike Chegg or Penske there is no docket to follow and no obligation on anyone to answer it.

The pressure was transatlantic rather than only American. The UK's Professional Publishers Association was pressing the CMA with parallel evidence at the same time, and its chief executive Sajeeda Merali told Digiday that "publishers on both sides of the Atlantic are seeing the same patterns: traffic declines linked to AI Overviews, opaque shifts in Google Discover, and no meaningful transparency from Google about how these systems work".

Google launched Gemini 3 and brought it to Search the same day, which it called "the first time we've brought a Gemini model to Search on day one". Search began routing its "most challenging questions in AI Mode and AI Overviews" to the frontier model while faster models keep handling simpler queries, with the rollout starting in the US.

Day-one deployment in Search signaled how central AI answers had become to Google's model launches. The routing tier turned out to be an interim step: Gemini 3 became the default AI Overviews model worldwide in late January 2026.

The UK Competition and Markets Authority confirmed strategic market status for Google in general search and search advertising under the digital markets competition regime, finding "substantial and entrenched market power" in a market where Google handles more than 90% of UK searches. The designation explicitly covers AI Overviews and AI Mode; the standalone Gemini assistant stayed outside it, kept under review as the market develops.

The status is not a finding of wrongdoing, but it lets the CMA impose "proportionate, targeted interventions" on how Google runs search in the UK. That authority is what the regulator used the following June, when it ordered an AI Overviews opt-out for publishers.

Penske Media, publisher of Rolling Stone, Variety and Billboard, sued Google in the US District Court for the District of Columbia (case 1:25-cv-03192), the first lawsuit by a major US publisher aimed squarely at AI Overviews. The complaint says AI Overviews now appear on roughly 20% of Google searches that return links to Penske sites, and blames the feature for a one-third drop in affiliate revenue from its late 2024 peak.

The suit is an antitrust claim: Penske argues Google leverages its search monopoly to coerce publishers into letting their content be republished in AI summaries and used for AI training. Google said AI Overviews "make Search more helpful and send traffic to more sites" and that it would "defend against these meritless claims".