Google AI Overviews Statistics June 2026: Reach, CTR Impact & Regulation

How many people see Google AI Overviews and AI Mode, how much they cut publisher click-through rates, and how the UK just forced Google to let publishers opt out.

Paul

Paul · Co-founder

Key takeaways

  • AI Overviews reach 2 billion+ monthly users across 200+ countries and 40+ languages. AI Mode, the more conversational Search experience, separately crossed 1 billion monthly users by May 2026 — up from 75 million daily active users less than a year earlier.

  • Query coverage estimates vary wildly by tracker — from roughly 20% to 50% of searches — but nearly every study agrees coverage has expanded well beyond informational queries into commercial, transactional, and even shopping searches over the past year.

  • Multiple independent studies confirm AI Overviews cut publisher click-through rates — Pew Research, Ahrefs, and Seer Interactive all found meaningful declines, and a randomized field experiment published in 2026 provided the first causal (not just correlational) evidence, finding a 39.8% drop in outbound clicks.

  • On June 3, 2026, the UK's Competition and Markets Authority became the first regulator in the world to force Google to let publishers opt out of AI Overviews and AI Mode specifically — without losing normal search visibility.

  • Despite the click declines, Google's Search revenue grew 19% year over year to $60.4 billion in Q1 2026. Alphabet maintains AI features are "driving Search growth," a claim publishers and several independent studies directly dispute.

  • Google announced five changes to AI Overviews in May 2026 — including subscription labels and more prominent citations — widely read as a response to mounting publisher pressure, even though Google's own announcement never mentions clicks or lost traffic.

Google AI Overviews are a fundamentally different animal from ChatGPT or Perplexity: nobody chooses to open an "AI Overviews app." It's a feature embedded directly in Google Search results, seen by billions of people who never consciously decided to use an AI product. That makes its statistics less about user growth and more about two questions that matter enormously to anyone who publishes content or runs ads: how many searches does it touch, and how much of the click-through traffic that used to flow to websites is it keeping for itself? For brands, understanding both is central to ranking in AI Overviews and to tracking AI Overview visibility as the feature keeps expanding.

Here is a full breakdown of the numbers as of June 2026.

How many people see AI Overviews and AI Mode?

Google has said AI Overviews reach 2 billion+ monthly users, available in more than 200 countries and territories and 40+ languages since the feature's May 2025 international expansion. Because AI Overviews are embedded in ordinary Search results rather than a separate destination, this "reach" figure counts anyone who ran a search that happened to surface a summary — not necessarily someone who deliberately sought out an AI answer.

AI Mode, Google's more conversational, multi-turn Search experience, is a separate and smaller product that has scaled quickly:

Milestone

Figure

Daily active users, ~2025

75 million

Monthly active users, US + India

100 million+

Monthly active users, worldwide (Google I/O, May 2026)

1 billion+

At Google I/O 2026, Google expanded "Personal Intelligence" in AI Mode — which can draw on a signed-in user's Gmail and other Google app context — to nearly 200 countries and territories across 98 languages, with no subscription required. Google says AI Overviews drive a 10%+ increase in Search usage for the query types that display them, meaning people come back to do more of that type of search once they've seen an AI answer for it.

Which searches trigger AI Overviews?

Query-coverage estimates differ enormously depending on who's tracking and what keyword set they use — a real limitation of this data, not just noise:

  • ~20% of US searches, per Seoprofy's tracking (19–20% range across the US, Canada, and UK)

  • ~30% of US searches, per DemandSage (27.75–28.66% depending on state)

  • ~48% of tracked queries, per BrightEdge — up roughly 58% year-over-year from February 2025

  • ~50% of US queries, per DemandSage's headline figure

What's consistent across every tracker is the direction and shape of the expansion: AI Overviews started out almost entirely on informational queries and have since spread into commercial and transactional territory. Semrush's analysis of 10 million+ keywords found informational queries fell from 91.3% of AI Overview triggers in January 2025 to 57.1% by October 2025, while commercial queries rose from 8.15% to 18.57% and transactional queries from 1.98% to 13.94%.

Trigger rates also vary sharply by query shape:

Query type

Trigger rate

Comparison ("X vs Y")

95.4%

Reviews

86.3%

Question-format

85.9%

"Near me"

76.9%

Health / relationship topics

~60%

Shopping queries

14.0%

Local intent

~7%

Single-word queries

27.3%

Source: Seer Interactive, DemandSage, SearchEngineLand. Longer, more specific queries trigger far more often — seven-plus-word queries at roughly 46%, versus under 10% for one-word queries — and about 81% of AI Overview impressions happen on mobile.

When Google does cite sources, user-generated platforms dominate: YouTube, Reddit, and Wikipedia are consistently the top three citation domains across independent studies, ahead of traditional publisher sites.

The publisher impact: what the click-through data shows

This is the most contested — and most studied — question in AI search. Multiple independent research efforts, using different methods and samples, have all found the same basic pattern: showing an AI Overview reduces the odds a user clicks through to a website.

  • Pew Research Center (July 2025) tracked 68,000 real search sessions and found users clicked a traditional result 8% of the time when an AI Overview appeared, versus 15% without one — a 47% relative decline. Only 1% of users clicked a link inside the AI Overview itself.

  • Ahrefs found the top-ranking organic result lost 34.5% of its expected clicks when an AI Overview appeared (April 2025, 300,000 keywords). By May 2026, that had worsened to a 58% average CTR decline for top-ranking pages — with position-two results losing about half their clicks and even position-ten results down nearly 20%.

  • Seer Interactive's longest-running tracker (42 organizations, 25M+ impressions, June 2024–September 2025) found organic CTR on AI Overview queries fell 61% (1.76% → 0.61%) and paid CTR fell 68% (19.7% → 6.34%). A 2026 update on a different sample showed some recovery — organic CTR climbing from a floor of 1.3% in December 2025 back to 2.4% by February 2026 — suggesting the decline may be stabilizing rather than continuing indefinitely.

  • A randomized field experiment (1,065 desktop Chrome users, published on SSRN in April 2026 and revised on June 17) provided the first causal rather than correlational evidence: showing an AI Overview caused outbound organic clicks to fall 39.8% and zero-click searches to rise 34.5%, while clicks on paid results stayed essentially flat.

  • DMG Media (MailOnline, Metro), in a submission to the UK's competition regulator, reported worst-case declines as steep as 89% for certain searches — desktop CTR falling from 25.23% to 2.79% when an AI Overview appeared above a visible link, with mobile down 87%.

  • Chartbeat data cited by Press Gazette found publishers worldwide have seen roughly 33% fewer search engine referrals overall since AI Overviews rolled out broadly.

Google disputes the framing, not usually the raw numbers. CEO Sundar Pichai and Search VP Liz Reid have both argued publicly that AI Overviews mainly eliminate "low-value" clicks — searches where a user wanted a quick fact, not a page visit — and that overall Search usage and query volume are at all-time highs as a result. Independent studies haven't settled that dispute either way, but the consistent direction of the click-through data across five separate research efforts, using five different methodologies, is difficult to dismiss as noise.

Regulators are starting to intervene

Publisher pressure has moved from complaints to enforcement. Independent Publishers Alliance and the campaign group Foxglove filed a complaint with the UK's Competition and Markets Authority (CMA) in July 2025, later joined by more than 20 major publishers.

On June 3, 2026, the CMA — acting under the UK's new digital markets competition regime, and citing Google's 90%+ share of UK search — announced what it called a "world first": Google must let publishers opt out of having their content used to power AI Overviews and AI Mode specifically, without losing their normal search rankings or visibility. Google must also let publishers opt out of having their content used for AI model "fine-tuning," and must properly attribute publisher content in AI-generated results with clear links. Google had already begun testing opt-out tooling ahead of the ruling, and said it would keep working with regulators as "user preferences evolve."

The order matters beyond the UK because it's the first time any regulator has forced a structural separation between "appearing in Google Search" and "being used to power Google's AI features" — a distinction publishers had been asking for since AI Overviews launched, since ordinary robots.txt rules can't block just the AI summary without blocking search visibility entirely. Italian news publishers have separately demanded a similar investigation, and pressure is building in other EU markets to follow the UK's lead.

Separately, on May 6, 2026, Google announced five product changes to AI Overviews and AI Mode: labeling when a summary draws on a publication a user subscribes to, more prominent inline citations "next to the relevant text," and a new "Further Exploration" links section. Google's own announcement frames these purely as usability improvements and doesn't mention clicks, traffic, or publisher pressure — but independent commentary widely reads the timing, arriving just weeks before the causal CTR study's revision and the CMA ruling both landed, as a response to exactly that pressure.

Revenue and business impact

Whatever AI Overviews are doing to individual publishers, they haven't dented Google's own Search revenue. In Q1 2026, Alphabet reported:

  • Google Search & Other revenue: $60.4 billion, up 19% year over year

  • Total Alphabet revenue: $109.9 billion, up 22% year over year

  • Google Cloud revenue: over $20 billion for the first time in a quarter, up 63% year over year, with backlog nearly doubling to over $460 billion

  • Paid subscriptions across Google products: 350 million, led by YouTube and Google One

Pichai told investors that "AI experiences [are] driving usage, queries [are] at an all-time high, and [there's] 19% revenue growth" in Search — the company's central argument that AI Overviews expand the overall pie rather than cannibalize the clicks publishers used to get. Independent CTR research, summarized above, complicates that story without fully resolving it: query volume and Google's own revenue can rise even as the specific traffic publishers receive per search falls, because the two are measuring different things.

How AI Overviews compares to standalone AI products

By sheer reach, AI Overviews' 2 billion+ monthly users dwarf any standalone chatbot — roughly double ChatGPT's ~1 billion and more than double Gemini's 900 million+ app users. But as covered in more depth in our ChatGPT statistics post, that comparison isn't apples-to-apples: an AI Overviews "user" ran a Google search that happened to surface a summary, while a ChatGPT or Gemini user deliberately opened an app and typed a message. Intent and engagement depth differ enormously between the two categories, even though Google's numbers are the largest by a wide margin.

Sources

Published Jun 21, 2026

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