GEO & AI Search Statistics (2026)
Every number on this page links to its original source — OpenAI, Google, Microsoft, Pew Research, McKinsey, Bain, Gartner, Adobe, Similarweb, Semrush, Ahrefs, Seer Interactive, BrightEdge, G2 and peer-reviewed research. No recycled "AI will replace Google" guesses. Just what the data actually says about how people search, click and buy when AI writes the answer.
linked to its source
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AI search is no longer an experiment. It's the front door.
If you only have thirty seconds, these four data points explain why generative engine optimization (GEO) has moved from a curiosity to a budget line.
Want to know how your brand shows up in these answers? Request a free AI visibility audit — we'll run your buyer prompts and show you the gaps.
1. AI assistant adoption & usage
The audience is no longer early adopters. ChatGPT alone now reaches a user base comparable to the largest social networks, and Google's own AI products are growing even faster. For brands, the practical question is not whether buyers use AI assistants, but which ones, for what, and how often.
Weekly ChatGPT users, the figure OpenAI gave developers at DevDay 2026 — up from 800M in October 2025.
Paying ChatGPT subscribers reported by OpenAI in February 2026, alongside 900M weekly active users at the time.
Messages sent to ChatGPT per day (about 18B per week) as of July 2025, according to OpenAI's own usage research.
Of ChatGPT messages are non-work, up from 53% a year earlier — consumer research, advice and shopping are driving growth.
Of ChatGPT conversations are "Seeking Information" — search-like queries — alongside Practical Guidance (~29%) and Writing (~24%).
Monthly active users of the Gemini app, with daily active users tripling in a year.
Monthly active users across Microsoft's first-party Copilots, spanning work, coding, security and consumer.
Queries handled by Perplexity in May 2025, growing more than 20% month over month, per its CEO.
Which chatbots do Americans actually use?
Pew Research Center's 2026 survey shows 49% of U.S. adults use AI chatbots (up from 33% in 2024) and 24% use them daily. Adults under 50 are about twice as likely as those 50+ to use ChatGPT (57% vs 28%). Share of U.S. adults using each assistant:
Bars scaled so 50% = full width. Source: Pew Research Center, 2026.
The market is fragmenting
Similarweb's 2026 AI search report shows average monthly web visits to generative AI platforms grew 70% year over year to 9.5 billion (June 2025–May 2026). Over the same period ChatGPT's share of that traffic fell from roughly 76% to about 53%, while Gemini rose from under 9% to around 27–28%. Optimising for one assistant is no longer enough. Source: Similarweb, 2026
That's why our ChatGPT SEO and Gemini SEO work runs on the same entity, content and authority foundations — so gains carry across engines.
2. Google AI Overviews & AI Mode reach
Google didn't lose search to AI — it turned search into AI. AI Overviews and AI Mode now put a generated answer in front of billions of people, which is why the Google AI Overviews surface is the single largest GEO opportunity for most businesses.
Monthly active users of AI Mode since its global expansion in October 2025. Google says AI Mode is driving an incremental increase in overall queries.
Monthly active users of AI Overviews, announced at Google I/O 2026 — up from 2B+ in mid-2025.
Increase in Google usage for the types of queries that show AI Overviews, in its biggest markets — the U.S. and India.
Of tracked queries trigger an AI Overview, up from about 30% a year earlier — a 58% increase. Around 52% still show none.
Average AI Overview height now exceeds 1,200 pixels (+15% YoY), pushing the first organic result below the fold on a standard screen.
Of 21.9M Google searches produced an AI Overview in Conductor's benchmark — from 48.75% in healthcare to 4.48% in real estate.
Of AI Overview queries were informational by October 2025, down from 91.3% in January — AIOs are moving into commercial and navigational searches.
Growth in SERPs showing both ads and an AI Overview: 5.17% of AIO results in March 2025 to 25.56% in October 2025.
AI Overview frequency over 2025 (share of 10M+ keywords)
Semrush tracked more than 10 million keywords through 2025. Coverage roughly quadrupled in six months, then Google pulled back — a reminder that AIO exposure is volatile and must be monitored, not assumed.
Bars scaled so 25% = full width. Source: Semrush AI Overviews Study, 2025. Different tools measure different keyword sets, which is why BrightEdge, Conductor and Semrush report different prevalence rates.
3. Click-through impact
This is where the debate gets heated — and where the evidence is now fairly consistent. When an AI answer appears, fewer people click through to websites. The size of the drop varies by study, query type and industry, but the direction does not.
Visits with a Google AI summary led to a click on a traditional result 8% of the time, versus 15% without one (900 U.S. adults, 68,879 searches).
Of visits to a page with an AI summary included a click on a link inside the summary itself.
Users ended their browsing session after a results page with an AI summary 26% of the time, versus 16% with only traditional results.
Lower CTR for position 1 when an AI Overview is present (Dec 2025 vs Dec 2023, 300,000 keywords) — up from a 34.5% reduction in Ahrefs' 2025 study.
More organic clicks per impression when a brand is cited inside the AI Overview versus when it isn't.
Of searches end without the user progressing to another destination site, and organic web traffic is estimated to fall 15–25% as a result.
Of consumers rely on "zero-click" results in at least 40% of their searches.
Zero-click news searches on Google rose from 56% at AI Overviews' launch (May 2024) to almost 69% in May 2025.
Organic vs paid CTR, with and without an AI Overview (February 2026)
53 brands, 5.47M queries, 2.43B organic impressions. Source: Seer Interactive, 2026.
The counter-evidence worth knowing
Seer also found organic CTR on AIO queries rebounded from a 1.3% floor in December 2025 to 2.4% in February 2026, and Semrush observed the zero-click rate on keywords that gained an AI Overview fell slightly, from 33.75% to 31.53%. The lesson isn't "clicks are dead" — it's that being cited in the answer is now what protects clicks. Sources: Seer Interactive, 2026; Semrush, 2025
4. AI referral traffic
AI assistants send far less traffic than Google — for now. But the traffic they send is growing quickly and, in several datasets, converts better. Treat it as a small, high-intent channel that is compounding, and measure it properly with AI visibility tracking.
Referral visits generated by AI platforms in June 2025 alone — a 357% year-over-year increase.
Of all website traffic comes from AI referrals across 13,770 domains — highest in IT (2.8%). ChatGPT drives 87.4% of it.
Growth in AI referral traffic in a year across 81,947 websites, though AI was still ~0.25% of an average site's traffic.
Year-over-year growth in AI traffic to U.S. retail sites in Q1 2026, after a 693% surge over the 2025 holiday season.
Better conversion for AI-referred retail visitors in March 2026 — a reversal from March 2025, when AI traffic converted 38% worse.
Longer time on site for visitors arriving from AI sources, who also viewed 13% more pages per visit.
Of Ahrefs' signups came from AI search, which drove only 0.5% of its traffic — a 23x higher conversion rate than traditional organic.
Higher value of an AI search visitor versus a traditional organic visitor, measured by conversion rate.
Two caveats keep this honest. Ahrefs' cross-site study found AI visitors viewed 4 pages per session vs 5.2 for search and bounced slightly more (67.8% vs 63.7%) — engagement varies widely by site type. Source: Ahrefs, 2025 And after ChatGPT's May 2026 link change, homepage referrals jumped from ~26–29% to ~62–63% of ChatGPT referral traffic — so landing-page reports may undercount the pages that earned the citation. Source: Similarweb, 2026
Where does your brand sit in these numbers?
Most businesses have no idea how much AI traffic they get, or which prompts name their competitors instead. Our free audit runs your top buyer questions across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews and shows you the gap.
5. Consumer trust & behaviour
People use AI answers heavily — and trust them cautiously. That gap matters for brands: AI gets buyers to a short list, but third-party proof (reviews, press, expert sources) is what makes them comfortable acting on it.
Of U.S. consumers already use AI-powered search, and 44% of those users call it their primary, preferred source of insight.
Of U.S. adults at least sometimes see AI summaries in search results — but only 6% of those who see them trust them "a lot".
Find AI search summaries extremely or very useful; 52% say somewhat useful and 28% not too or not at all useful.
Of chatbot users use them to search for information — the single most common reason given.
Of U.S. consumers surveyed believe AI tools provide accurate results (5,000+ respondents in Adobe's shopping survey).
Of test queries got wrong answers when eight AI search tools were asked to identify a news article's source — from 37% (Perplexity) to 94% (Grok 3).
The takeaway: AI answers can be confidently wrong about you, too. Monitoring what assistants say about your pricing, features and reputation — not just whether they mention you — is part of brand mention management.
6. B2B buying
B2B is where AI search has moved fastest, because buyers face complex, comparison-heavy decisions that chatbots summarise well. If you sell software or services, the shortlist is increasingly built before anyone visits your website.
Of B2B software buyers begin their purchase process in an AI chatbot rather than a search engine — up from 29% in April 2025 (n=1,076).
Chose a different vendor than initially planned because of an AI chatbot's recommendation; 33% bought from a vendor they had never heard of before.
Of B2B buyers say review-site citations are the most confidence-inspiring signal in an AI-generated answer.
Of B2B buyers use LLMs during their buying journey — yet still average 16 touchpoints with the winning vendor (nearly 4,000 buyers).
What this means for B2B marketers
- Your category comparison and "alternatives to" prompts are now the top of the funnel.
- Review platforms and analyst-style content carry disproportionate weight in AI answers.
- AI doesn't replace sales conversations — it decides who gets invited to them.
7. Citations & the sources AI uses
Ranking on page one is no longer a reliable proxy for being cited. AI engines pull from a wider set of pages and lean heavily on what other people say about you. This is the data behind our AI citation optimisation approach.
Of AI Overview citations rank in Google's top 10 for the same query (863K keywords, 4M URLs) — down from 76% in Ahrefs' July 2025 study.
Of AIO-cited sources also rank in the organic top 10 in BrightEdge's tracked set — roughly 5 in 6 citations come from beyond page one.
Correlation between brand web mentions and AI Overview visibility across 75,000 brands — versus 0.218 for backlinks.
Of AI citations come from earned media across ChatGPT, Claude and Gemini (25M+ links). Journalism is 27%; paid and advertorial just 0.3%.
Of the sources AI search references are a brand's own websites; in CPG and financial services, 65%+ are publishers, UGC and affiliates.
Fresher content is cited by AI assistants than by organic Google results (17M citations). ChatGPT cites pages 393 days newer on average.
Of AI summary sources were Wikipedia, YouTube or Reddit — the three most-cited sites in Google's AI summaries.
Of webpages ChatGPT cites rank at position 21 or lower in traditional organic search for the related query.
Why do Ahrefs (38%) and BrightEdge (~17%) disagree on top-10 overlap? Different keyword sets, industries and definitions of "top 10". Both point the same way: page-one rankings help, but they're not enough.
8. GEO research findings
Generative engine optimization has an academic foundation as well as an industry one. The research is young, and results from controlled experiments don't map one-to-one onto live engines — but it gives useful direction.
Visibility boost from GEO methods in generative engine responses, in the research paper that coined the term, presented at KDD 2024.
Of journalism citations in AI answers come from articles published within the past 12 months — recency and fresh coverage matter.
The GEO paper tested tactics such as adding citations, quotations and statistics to source content and found they materially increased how visible that content was in generated answers. Combined with the correlation data above — mentions over links, freshness, earned media — the pattern is consistent: specific, well-sourced, frequently referenced content wins. We test these levers on live engines in our AI search experiments.
9. Market & investment
Money is following the behaviour. Consultancies are sizing the revenue at stake in the hundreds of billions, and AI visibility software has become one of the fastest-funded categories in martech.
Of brands systematically track AI search performance today; unprepared brands face a 20–50% decline in traffic from traditional search channels.
Predicted drop in traditional search engine volume by 2026, as search marketing loses share to AI chatbots and virtual agents.
Valuation of AI visibility platform Profound after a $180M Series D in September 2026; it serves 1,000+ enterprise brands.
Series A raised by Peec AI in November 2025, after onboarding 1,300+ brands and agencies within months of launch.
Of ChatGPT responses now contain an ad, with about a third concentrated in the first response of a session.
Higher conversion rate for AI-referred retail traffic in May 2026, with AI referrals up 1,324% since October 2024.
Gartner's 25% figure is a 2024 prediction, not a measurement — we include it because it's widely quoted, not because it has been confirmed. Want to compare the tools these companies sell? See our AI SEO & GEO tools guide.
Six things the 2026 data tells you to do.
Statistics are only useful if they change a decision. Here's how we read the numbers above for a marketing head planning next quarter.
Optimise for being cited, not just ranked
Cited brands earn far more clicks per impression on AI Overview queries, while uncited ones lose most of theirs. Citation share is the new position #1.
Invest in what others say about you
Mentions out-correlate backlinks, earned media dominates citations, and brand sites are only 5–10% of sources. Digital PR and reviews are GEO work.
Go multi-engine
ChatGPT's share is shrinking as Gemini grows, and AI Mode passed a billion users. One-platform strategies leave visibility on the table.
Keep money pages fresh
AI assistants cite noticeably fresher content than organic search. Build a quarterly refresh cycle with real updates, not just new dates.
Measure AI traffic separately
It's ~1% of traffic but growing fast and often converts better. If it's lumped into "referral" or "direct", you can't prove its value.
Audit what AI says about you
AI search tools frequently get sources wrong, and buyers act on what they read. Monitor accuracy and sentiment, not just mentions.
Turn these statistics into your own baseline.
Industry averages are a starting point. We'll measure your mention rate, citation share and AI traffic across five engines — free, in a single audit.
How we picked these statistics.
Most "AI search statistics" pages copy each other. Numbers drift, sources disappear, and a vendor blog becomes "a study". We built this page the other way round.
- Primary or reputable sources only. Platform announcements (OpenAI, Google, Microsoft), independent research (Pew, Columbia's Tow Center, peer-reviewed papers), consultancies (McKinsey, Bain, Gartner) and large-dataset industry studies (Ahrefs, Semrush, Similarweb, Adobe, Seer, BrightEdge, Conductor, G2, Muck Rack, 6sense).
- Every figure checked against its source. We read the original page for each statistic. Where we couldn't confirm a number, we dropped it — however often it's repeated elsewhere.
- Dates and samples stated. AI search moves monthly, so we note the period and dataset size wherever the source gives one.
- Vendor data labelled as vendor data. Tool companies have an interest in the story. Their datasets are large and useful, but read them as one view, not the final word.
- Contradictions shown, not hidden. Where studies disagree (top-10 overlap, zero-click rates), we show both.
Last updated October 2026. We review this page quarterly. Spotted a newer figure or an error? Email info@eliteinformationtech.com.
Using these numbers? Please credit the source.
Journalists, students and marketers are welcome to use this page. Please cite the original source for each statistic, and link here if our compilation helped.
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How we turn the numbers into your plan.
These statistics describe the market. A GEO engagement with us measures your slice of it — then moves it.
Baseline
We run 50–200 buyer prompts across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews and record mentions, citations and sentiment against 3–5 competitors.
Source map
We list every page the engines cite in your category and score each for placement opportunity — the earned-media layer the data says matters most.
Fix & publish
Entity and schema engineering, crawler access, and answer-first pages built for the prompts where you're missing.
Track & report
Monthly visibility reports plus properly segmented AI referral traffic in GA4, tied to leads and revenue.
What's included in the free audit
- Your mention rate on 20+ priority buyer prompts
- Competitor share of voice across five AI engines
- The sources AI cites in your category
- Crawler-access and schema check (OAI-SearchBot, Bingbot, Google)
- A prioritised list of quick wins
Why Elite Information Tech
We've done search since 2008 for 98+ industries, with ~300 specialists across SEO, content, digital PR, web development and analytics. That matters, because the data on this page says GEO is a team sport: technical access, content and third-party authority all have to move together.
We're a Google Ads Certified Partner rated 4.9/5 on DesignRush — and we publish our methods in our case studies and prompt library.
AI search statistics, explained.
How many people use ChatGPT in 2026?
OpenAI referred to 1.2 billion weekly ChatGPT users at DevDay in September 2026, up from 900 million weekly active users it reported in February 2026 and 800 million in October 2025. Pew Research found 44% of U.S. adults use ChatGPT.
How many people see Google AI Overviews?
At Google I/O 2026, Google said AI Overviews had passed 2.5 billion monthly active users (up from 2 billion in mid-2025) and AI Mode had passed 1 billion. How often an AI Overview appears depends on the keyword set: BrightEdge measured around 48% of tracked queries in early 2026, Conductor about 25% of 21.9 million searches.
Do AI Overviews reduce clicks to websites?
Most large studies say yes. Pew found users clicked a traditional result on 8% of visits with an AI summary versus 15% without. Ahrefs measured a roughly 58% lower click-through rate for the top result when an AI Overview appears, and Seer Interactive saw organic CTR fall from 3.82% to 2.36%. Brands cited inside the AI Overview fare much better than those that aren't.
How much website traffic comes from AI assistants?
Still a small share: Conductor's 2026 benchmark puts AI referrals at 1.08% of all website traffic, and Ahrefs measured about 0.25% for an average site in 2025. But it's growing fast — Similarweb counted 1.1 billion AI referral visits in June 2025, up 357% year over year — and several studies show it converts better than average traffic.
Does AI search traffic convert better?
Often, yes. Adobe found AI-referred retail traffic converted 42% better than non-AI traffic in March 2026; Semrush estimates an AI search visitor is worth 4.4x a traditional organic visitor; Ahrefs saw AI search drive 12.1% of its signups from 0.5% of traffic. Results vary by site, so measure your own.
Do I need to rank on page one to be cited by AI?
It helps, but it's no longer enough. Ahrefs found just 38% of AI Overview citations rank in Google's top 10 in 2026, down from 76% in 2025, and Semrush found about 90% of pages ChatGPT cites rank at position 21 or lower. Brand mentions, earned media and fresh, specific content all play a larger role.
Where do AI engines get their information about brands?
Mostly from third parties. McKinsey found brands' own websites make up only 5–10% of the sources AI search references, and Muck Rack found 84% of AI citations come from earned media. Reviews, press coverage, Wikipedia, YouTube and Reddit all feature heavily.
Are these statistics verified?
Yes. Every number on this page was checked against its original source, which is linked next to it. If we couldn't verify a figure, we left it out. Some sources are tool vendors with commercial interests, and we label predictions (such as Gartner's 2024 forecast) as predictions.
How often is this page updated?
We review it quarterly. It was last updated in October 2026. If you know of a newer or better-sourced figure, email info@eliteinformationtech.com and we'll review it.
How can I find out my own AI search visibility?
Request our free AI visibility audit. We run your priority buyer prompts across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews, then show where you're mentioned, where competitors win, which sources are cited and what to fix first.
Keep exploring generative engine optimization
Every AI platform rewards slightly different signals. Dive into the playbook for each one — or let our GEO team run all of them for you.
Find out what ChatGPT, Gemini & Google AI say about you today.
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- Share-of-voice snapshot across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews
- Prompt-level gaps where competitors are named and you aren't
- Citation sources each AI engine leans on in your category
- A prioritised 90-day GEO plan you can run in-house or with us