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120 AI Search Statistics 2026

Sunny Patel

Sunny Patel

SEO Consultant & AI Strategist

120 AI Search Statistics 2026

Last updated: 10 September 2026. Every figure on this page was re-checked against its primary source in September 2026. Stats that could not be traced to a primary source were removed rather than kept on trust.

AI Search Statistics 2026 (Quick Answer)

The fastest-moving numbers in AI search, current as of September 2026:

  • ChatGPT: 900 million weekly active users (OpenAI, 27 February 2026), 1 billion monthly active app users reached in May 2026 (Sensor Tower estimate via Reuters), and 2.5 billion prompts per day (OpenAI, July 2025, the latest daily figure OpenAI has published)
  • AI referral share: ChatGPT sends 74.78% of all AI referral traffic, Gemini 11.56%, Perplexity 7.23% (SE Ranking, 101,574 websites, June 2026)
  • Google AI Overviews: appear on 25.11% of searches in Conductor's 21.9 million query benchmark, and on 48% of the queries BrightEdge tracks; Google says AI Overviews now have 2.5 billion monthly users (Google I/O, May 2026)
  • CTR impact: organic CTR on queries showing an AI Overview fell 61%, from 1.76% in June 2024 to 0.61% in September 2025; cited brands earn 120% more organic clicks per impression than uncited brands on the same results page (Seer Interactive)
  • Zero-click: 68.01% of US Google searches ended without a click in the first four months of 2026, and the UK is higher at 69.5% (SparkToro, Similarweb data)
  • AI vs Google ranking overlap: only 12% of AI-cited URLs rank in Google's top 10 (Ahrefs)
  • Share of traffic: AI referrals are 0.32% of all website traffic (SE Ranking) to 1.08% (Conductor), depending on the sample; Google still holds 91.1% of the search engine market (Statcounter, August 2026)

Is your content being cited by ChatGPT, Perplexity, and AI Overviews? Start with an AI Visibility Audit to measure where your brand appears, which competitors are cited instead, and what to fix. You can also use my free SEO prompts for AI search.


AI referral traffic to the world's top 1,000 websites grew 357% year on year to June 2025 (Similarweb). That is the most-cited growth figure in AI search, and it needs context. In the same month Google sent 191 billion referrals to those sites, against 1.13 billion from all AI platforms combined. AI search is a meaningful new channel for how people find information, and it is still a small one by volume. ChatGPT handles 2.5 billion prompts a day. Google handles more than 5 trillion searches a year, which works out at roughly 13.7 billion a day. Google AI Overviews now reach 2.5 billion monthly users. This page collects every meaningful AI search statistic I could trace to a primary source in September 2026, so you can make decisions on data rather than on vendor slide decks.

AI Search Market Overview

AI referral traffic share by platform in 2026, ChatGPT 74.78%, Gemini 11.56%, Perplexity 7.23%

Three platforms dominate AI search in 2026: ChatGPT, Google AI Overviews, and Gemini, with Perplexity third by referral volume. Each operates differently, but together they represent a fundamental shift in how users interact with search.

ChatGPT Usage Statistics

  • 900 million weekly active users as of 27 February 2026, up from 800 million in October 2025 (OpenAI)
  • 1 billion monthly active app users reached in May 2026, roughly three years after launch and faster than Google Maps, TikTok, Instagram or YouTube managed it (Sensor Tower estimate, reported by Reuters on 2 June 2026)
  • 2.5 billion prompts per day, of which about 330 million come from the United States (OpenAI, reported July 2025)
  • 74.78% of all AI referral traffic to websites in 2026, down from 79.74% in 2025 as Gemini took share (SE Ranking)
  • 400 million weekly active users in February 2025 and 300 million in December 2024, so the weekly user base more than doubled in 12 months (OpenAI)

Gemini, Perplexity and Copilot Usage Statistics

  • Gemini app: 900 million monthly active users, up from 400 million a year earlier (Google I/O, 19 May 2026)
  • Gemini sends 11.56% of AI referral traffic, second to ChatGPT (SE Ranking, 2026)
  • Perplexity: 780 million queries in May 2025, about 30 million a day, growing more than 20% month on month at the time (Aravind Srinivas, Perplexity CEO, June 2025). Perplexity has not published a 2026 figure; DemandSage estimates 1.2 to 1.5 billion queries a month.
  • Perplexity sends 7.23% of global AI referral traffic, 6.85% in the United States and 3.06% in the United Kingdom (SE Ranking, 2026)
  • Microsoft's first-party Copilot family passed 150 million monthly active users (Microsoft FY26 Q1 earnings call, 29 October 2025); Copilot sends 3.51% of AI referral traffic and Claude 2.62% (SE Ranking, 2026)

Total AI Search Traffic

  • 1.13 billion referral visits from AI platforms to the top 1,000 websites in June 2025, up 357% from June 2024, with ChatGPT responsible for more than 80% of them (Similarweb)
  • Google sent 191 billion referrals to the same sites in the same month (Similarweb)
  • AI referral traffic was 0.32% of all website traffic in 2026 across 101,574 sites, a 16x increase from 0.02% in 2024 (SE Ranking)
  • Conductor measures AI referrals at 1.08% of visits across 13,770 domains and 3.3 billion sessions (Conductor, 2026 AEO/GEO Benchmarks)
  • AI referrals to websites plateaued at 240 to 280 million visits a month from mid-2025 through January 2026, even as visits to the AI platforms themselves climbed toward 1.5 billion a month (Similarweb, June 2026)

The trajectory matters more than the current share. The referral plateau in the Similarweb data is the most important number in this section: AI platforms are growing faster than the traffic they send out, because they answer more questions in place. Being cited inside the answer is now the visibility, whether or not a click follows.

Google search market share vs AI search in 2026

Google is not losing the search engine market to AI in 2026. Statcounter's August 2026 data puts Google at 91.1% of worldwide search engine usage, with Bing at 4.5%. AI platforms are growing alongside search rather than replacing it, and the query volumes below show the gap.

PlatformMarket share or volumeWhat it measuresSource, date
Google91.1% worldwide search shareShare of search engine page referralsStatcounter, August 2026
Bing4.5% worldwide search shareShare of search engine page referralsStatcounter, August 2026
Yahoo1.23% worldwide search shareShare of search engine page referralsStatcounter, August 2026
Googlemore than 5 trillion searches a year (about 13.7 billion a day)Searches, company statementGoogle, March 2025
ChatGPT2.5 billion prompts a dayPrompts, company statementOpenAI, July 2025
Perplexity780 million queries in May 2025 (30 million a day)Queries, company statementPerplexity CEO, June 2025
Google AI Overviews2.5 billion monthly usersUsers (no query figure published)Google I/O, May 2026
Google AI Mode1 billion monthly usersUsers (no query figure published)Google I/O, May 2026

Statcounter measures search engines only, so ChatGPT and Perplexity do not appear in the share column. Comparing volumes directly, ChatGPT's 2.5 billion daily prompts are about 18% of Google's 13.7 billion daily searches, and a prompt is not the same thing as a search.

How many AI searches happen per day?

Roughly 2.5 billion prompts a day go to ChatGPT alone (OpenAI, July 2025), and Perplexity's last published figure was 30 million a day (June 2025), against roughly 13.7 billion Google searches a day. Google has not published a per-day figure for AI Overviews, Gemini or AI Mode, so the table below shows the closest official number for each platform and labels exactly what it measures.

PlatformDaily volumeWhat the figure measuresSource, date
ChatGPT2.5 billion prompts a dayPrompts sent by all usersOpenAI via Axios and TechCrunch, 21 July 2025
Google (all search)about 13.7 billion searches a day5 trillion searches a year divided by 365Google, 3 March 2025
Google AI Overviewsno daily query figure published; 2.5 billion monthly usersUsers who see an AI OverviewGoogle I/O, 19 May 2026
Gemini appno daily query figure published; 900 million monthly active usersUsers of the Gemini appGoogle I/O, 19 May 2026
Perplexity30 million queries a day (780 million in May 2025)Queries, company statementPerplexity CEO at Bloomberg Tech Summit, 5 June 2025
Microsoft Copilotno daily query figure published; 150 million monthly active usersFirst-party Copilot familyMicrosoft earnings call, 29 October 2025

Two cautions. First, "prompts" and "queries" are counted differently by each company, and none of them audit each other's numbers. Second, every AI figure here comes from a company statement rather than an independent measurement, which is why the referral data from Similarweb and SE Ranking above is the better guide to how much traffic these platforms send to websites.

Google AI Overviews Statistics

AI Overviews CTR impact, organic CTR on AI Overview queries fell 61% from 1.76% in June 2024 to 0.61% in September 2025

Google AI Overviews (formerly Search Generative Experience) are the most consequential development for SEO since featured snippets. They appear directly in Google search results, answering queries before users reach organic listings.

Appearance Rates

  • AI Overviews appeared on 25.11% of the 21.9 million US Google searches Conductor analysed between 15 September and 12 October 2025 (Conductor, 2026 AEO/GEO Benchmarks Report)
  • BrightEdge reports 48% of the queries it tracks now show an AI Overview, up from roughly 30% a year earlier (BrightEdge, February 2026)
  • SparkToro puts AI Overviews on 20%+ of all US Google searches in the first four months of 2026 (SparkToro, June 2026)
  • Appearance rates vary widely by sector in Conductor's data: Health Care 48.75%, Financials 25.79%, Utilities 25.4%, Consumer Staples 6.82%, Real Estate 4.48%
  • AI Overviews are available in more than 200 countries and territories and more than 40 languages (Google, May 2025)

The spread between 20%, 25% and 48% reflects different query sets rather than a disagreement about the trend. Conductor and SparkToro sample all searches; BrightEdge tracks the commercial and informational queries its customers care about, where AI Overviews are more common.

Click-Through Rate Impact

The impact on organic click-through rates is substantial and well-documented:

  • Organic CTR on queries showing an AI Overview dropped 61%, from 1.76% in June 2024 to 0.61% in September 2025, across 3,119 queries and 42 organisations (Seer Interactive)
  • Paid CTR on the same queries dropped 68%, from 19.70% in June 2024 to 6.34% in September 2025 (Seer Interactive)
  • Brands cited within the AI Overview earned 35% more organic clicks and 91% more paid clicks than uncited brands in that study (Seer Interactive)
  • Seer's April 2026 update, covering 53 brands, 5.47 million queries and 2.43 billion impressions, found organic CTR on uncited informational queries fell 67% over 2025, while cited brands earned 120% more organic clicks per impression than uncited brands on the same results page
  • Even cited brands still underperform a results page with no AI Overview by 38% (Seer Interactive, April 2026)
  • Pew Research Center's tracking of 900 US adults and 68,879 searches found users clicked a traditional result on 8% of visits when an AI summary appeared, against 15% without one, and clicked a link inside the AI summary on just 1% of visits (Pew, July 2025)

The data reveals a critical distinction: AI Overviews hurt sites that are not cited but significantly benefit sites that are. Being referenced inside the AI Overview is now arguably more valuable than ranking in position 1 below it.

AI Overview Source Patterns

  • ChatGPT cites an average of 15 sources per response, Gemini an average of 3 (Semrush, 126 million US prompts, January to April 2026)
  • Google AI Overviews cite the freshest content least: the average AI Overview citation is 1,432 days old, matching Google's organic top 10, while ChatGPT's average citation is 958 days old (Ahrefs, 16.975 million cited URLs, July 2025)
  • About 85% of AI Overview citations were published between 2023 and 2025 (Seer Interactive, 5,000+ URLs, June 2025)
  • Content with specific data points and statistics earns citations at a higher rate than opinion-based content, which is consistent with what I see across my own portfolio (see the citation section below)

Zero-Click Search Statistics

Zero-click Google searches January to April 2026, UK 69.5%, US 68.0%, Canada 63.8%, Germany 62.1%

Zero-click searches, queries where the user gets their answer directly on the search results page without clicking through to any website, have been rising for years. AI Overviews are accelerating this trend.

Current Zero-Click Rates

  • 68.01% of US Google searches ended without a click in the first four months of 2026, up from 60.45% in 2024 and the steepest two-year rise SparkToro has recorded (SparkToro, June 2026, Similarweb clickstream data)
  • The share of searches sending at least one click fell 9.51 percentage points between 2024 and 2026, a 22.9% decline, so fewer than one in three Google searches now sends a click to any website (SparkToro)
  • The UK has the highest zero-click rate of the six countries SparkToro measured: 69.5% of UK Google searches ended without a click between January and April 2026, against 68.0% in the US, 63.8% in Canada and 62.1% in Germany (SparkToro, 17 June 2026)
  • When an AI Overview appears, it reduces click-through rate by nearly 60% (SparkToro, June 2026)
  • The decade-long trend runs from roughly 45% zero-click in 2016 to 60.45% in 2024 to 68.01% in 2026 (SparkToro)
  • Pew found 26% of Google visits with an AI summary ended the browsing session entirely, against 16% without one (Pew Research Center, July 2025)

What Zero-Click Means for SEO

The 68% zero-click figure is frequently cited out of context. Important nuances:

  • Many zero-click searches are navigational (users searching "Facebook login" or "BBC weather"), these were never going to produce exploratory clicks
  • Informational zero-click searches include users getting answers from featured snippets, Knowledge Panels, and now AI Overviews
  • Commercial and transactional queries still produce high click-through rates, users researching purchases still click through to product pages and reviews
  • The "fewer than one in three" click figure covers all query types. For B2B, e-commerce, and professional services, organic click rates remain substantially higher

Zero-click search reinforces the importance of being the cited source. If a user's query is answered on the search results page, the brand cited in that answer receives the visibility, even without the click. This directly parallels how entity SEO builds brand recognition through search presence rather than clicks alone.

AI Citation Patterns

Understanding which content AI platforms cite, and which they ignore, is essential for planning where content effort actually pays off. The data reveals surprising patterns.

AI Citations vs Google Rankings

  • Only 12% of URLs cited by ChatGPT, Gemini and Copilot rank in Google's top 10 for the same query (Ahrefs, 15,000 long-tail prompts, August 2025)
  • About 80% of AI-cited URLs do not rank anywhere in Google's top 100 (Ahrefs)
  • Perplexity is the most Google-aligned assistant, with 28.6% of its citations in Google's top 10; ChatGPT and Gemini overlap at around 8% (Ahrefs)
  • Traditional Google rankings are therefore a poor predictor of AI citation probability, and sites with low Google visibility can still earn substantial AI referral traffic

This is the most consequential finding for SEO practitioners. The overlap between Google rankings and AI citations is remarkably small. A page buried on page 5 of Google can be the primary source cited by ChatGPT for a given query. AI platforms evaluate content quality, directness, and factual precision rather than PageRank signals.

Content Freshness Bias

  • AI-cited URLs average 1,064 days old against 1,432 days for Google's organic top 10, a 25.7% freshness advantage for AI citations (Ahrefs, 16.975 million cited URLs, July 2025)
  • 50% of Perplexity citations are content published in 2025, the strongest recency bias of the three platforms Seer studied (Seer Interactive, June 2025)
  • 65% of AI citation hits across ChatGPT, Perplexity and AI Overviews were on content published within the past year, and 79% within two years (Seer Interactive)
  • ChatGPT cites the freshest content of any assistant, with an average citation age of 958 days (Ahrefs)

Freshness matters more for AI citations than it does for traditional Google rankings. Google's index rewards established authority and backlink profiles. AI retrieval systems weight recency heavily because they prioritise current, accurate information. This means regular content updates are a prerequisite for AI visibility rather than an optional extra.

What Content Gets Cited

Analysis across multiple studies and my own 44-site portfolio data reveals consistent patterns in AI-cited content:

  • Technical how-to content, step-by-step guides with specific instructions earn the highest citation rates. In my portfolio, a technical troubleshooting guide earned 31,000+ Bing Copilot citations alone.
  • Research-backed content, pages citing studies, data, and named sources receive citation preference over opinion pieces
  • Comprehensive single-page coverage, content covering a topic thoroughly on one page outperforms content spread across multiple thin pages. This aligns directly with topical authority principles.
  • Direct answer formatting, content structured with clear question headings and immediate answers in the first sentence of each section
  • Specific data points, pages with named statistics, percentages, and figures are cited more frequently than pages with vague claims

Content that performs well for AI citations shares a common thread: it is the most useful, most specific, most directly answerable source available. Optimising content for AI search requires restructuring existing content around these patterns.

Most cited websites and sources in AI answers

Three large citation studies published between November 2025 and September 2026 agree on the shape of the answer: a handful of user-generated platforms dominate the top of the list, but most citations overall go to brand-owned websites.

  • Among the top sources Ahrefs tracks in Google AI Overview citations, YouTube takes 22.9% of that share, Reddit 18.5%, Facebook 10.1%, Google's own properties 8.8%, Instagram 5.6%, Quora 4.7%, Wikipedia 4.0%, TikTok and Amazon 3.3% each (Ahrefs, 3 million+ US queries, updated 2 September 2026)
  • 57% of all AI citations go to brand-owned websites rather than social, UGC or media sites. On ChatGPT the split is 47% brand sites and 30% earned media (Profound, 11.84 billion citations across eight AI platforms, 16 April to 16 July 2026)
  • Reddit was the single most-cited domain across ChatGPT search, Google AI Mode and Perplexity in Semrush's 13-week study of 230,000 prompts and more than 100 million citations (Semrush, November 2025)
  • Citation patterns are volatile: ChatGPT's Reddit citations fell from close to 60% of responses in early August 2025 to around 10% by mid-September, and Wikipedia fell from about 55% to under 20% in the same window (Semrush)
  • Review sites are the number two citation source category in AI answers. Brands with no Trustpilot profile had a median AI citation rate of 1%; brands with even a minimal profile reached 53.5% (Seer Interactive, 804,491 AI responses across ChatGPT, AI Mode, Gemini and Perplexity, May 2026)
  • Only 36 global brands held a top-100 visibility position across ChatGPT, Gemini, AI Mode and AI Overviews throughout Semrush's January to April 2026 study period (Semrush, 2026 AI Visibility Index)

The practical reading: you cannot out-cite YouTube or Reddit on volume, and you do not need to. Profound's 57% figure means the majority of citations still go to the sites that own the subject, which is where a well-structured brand site competes.

AI Search vs Traditional Search: Comparative Data

The numbers in context. AI search is growing rapidly but remains a small fraction of total search volume.

Search Volume Comparison

MetricGoogle SearchChatGPTPerplexity
Daily volumeabout 13.7 billion searches2.5 billion prompts30 million queries
Annual or monthly volumemore than 5 trillion a yearnot published780 million a month (May 2025)
Search engine market share91.1%not measured by Statcounternot measured by Statcounter
Referral traffic, June 2025191 billion visitsmore than 80% of AI referralsshare of the 1.13 billion AI total
Share of AI referral traffic, 2026N/A74.78%7.23%
Year-over-year referral growthnot published by Similarwebpart of +357% for all AI platformspart of +357% for all AI platforms

Sources: Statcounter (market share, August 2026), Google (annual searches, March 2025), OpenAI (daily prompts, July 2025), Perplexity (queries, June 2025), Similarweb (referral traffic, July 2025), SE Ranking (AI referral share, June 2026)

Organic Search Traffic Share

  • AI referrals are 0.32% of all website traffic across 101,574 sites (SE Ranking, 2026) and 1.08% across 13,770 mostly enterprise domains (Conductor, 2026)
  • Conductor projects AI could reach 5 to 10% of referral traffic by 2027 (Conductor, 2026 AEO/GEO Benchmarks)
  • Google's own share of the search engine market rose to 91.1% in August 2026 (Statcounter), so AI is eating into clicks rather than into Google's share of searches

Platform-Specific User Behaviour

  • Visitors arriving from ChatGPT spent 15 minutes on site against 8 minutes from Google, viewed 12 pages against 9, and converted at 7% against 5% on transactional sites (Similarweb, June 2026)
  • AI-referred visitors to US retail sites convert at a rate 60% higher than non-AI traffic and generate 53% more revenue per visit (Adobe Analytics, more than 1 trillion US retail visits, August 2026)
  • Conductor cites Knotch data showing LLM-referred visitors convert at twice the rate of other visitors (Conductor, 2026)

AI search users behave differently from traditional search users. Sessions are longer, queries are more conversational, and users often engage in multi-turn research rather than single-query searches. This creates opportunities for comprehensive content that traditional SEO keyword targeting misses.

Industry-Specific AI Search Impact

AI referral share varies by sector. Conductor's 2026 benchmark, which uses GICS sector classifications across 13,770 domains, gives the only industry breakdown I could verify to a primary source:

  • Information Technology: 2.80% of visits from AI referrals, the highest of any sector (Conductor)
  • Consumer Staples: 1.91% (Conductor)
  • Health Care: 1.5% AI referral share, despite having the highest AI Overview appearance rate at 48.75% of queries (Conductor)
  • Communication Services: 0.25%, the lowest measured (Conductor)
  • Retail: AI referral traffic to US retail sites grew 62% year on year in July 2026 and 1,219% since October 2024 (Adobe Analytics)
  • Local services: no primary source publishes a local-specific AI referral share. In my own portfolio, utility and local-data sites take a larger share of their AI traffic from Copilot than other sites do, which is why local SEO work that builds entity presence positions businesses for AI-driven local recommendations

AI Search Revenue and Commercial Impact

  • Google search referrals to publishers fell 33% worldwide and 38% in the US between November 2024 and November 2025, measured across 2,576 news sites (Reuters Institute, Chartbeat data, January 2026)
  • Publishers surveyed by the Reuters Institute expect search referrals to fall by more than 40% over the next three years (Reuters Institute, 280 digital leaders in 51 countries)
  • Agentic search, where a shopper asks an AI agent what to buy before visiting any site, grew 200% year on year as the first step in purchase journeys (Salesforce State of Commerce, 3,450 commerce professionals and 4,690 consumers, July 2026)
  • AI-referred retail visitors convert 60% higher and spend 53% more per visit than other visitors (Adobe Analytics, August 2026)
  • Organisations that run SEO and AI visibility as one workflow are far more likely to report traffic or lead gains from AI platforms: 81% against 36% for teams that run them separately (Semrush, 2026 AI Visibility Index)

The commercial picture is nuanced. AI search reduces total click volume but can increase conversion rates for the sites that earn citations. The strategic response is to ensure your content is the content being cited.

AI search usage studies and data sources (US and UK)

If you want to check any figure on this page, or run your own analysis, these are the primary studies behind it. Sample sizes are as stated by each publisher.

StudyPublisherDateSampleHeadline finding
Adults' Media Use and Attitudes 2026 (UK)Ofcom2 April 20267,533 UK adults aged 16+, fieldwork 29 September to 28 November 202554% of UK adults use AI tools such as ChatGPT, Copilot or Gemini; 79% of 16 to 24s and 74% of 25 to 34s
Artificial intelligence in UK businesses: 2023 to 2026 (UK)Office for National Statistics20 July 202638,637 businesses, BICS Wave 159, June 202635% of UK businesses with 10+ employees use at least one AI technology; 49% of those with 250+ employees
Zero-click searches by country (UK, US, Canada, Germany, France, Italy)SparkToro, Similarweb data17 June 2026Similarweb desktop and mobile clickstream panel, January to April 202669.5% of UK Google searches end with no click, the highest of the six countries
Digital News Report 2026 (48 markets incl. UK and US)Reuters Institute16 June 2026about 2,000 respondents per market10% use an AI chatbot weekly for news, up from 7%; the UK is lowest of any market at 4%
Google users are less likely to click when an AI summary appears (US)Pew Research Center22 July 2025900 US adults, 68,879 searches, 12,593 with an AI summaryclick rate 8% with an AI summary vs 15% without
In 2026, less than one third of Google searches still send a click (US)SparkToro, Similarweb data9 June 2026Similarweb clickstream panel, January to April 202668.01% of US Google searches are zero-click
AI traffic research study (global, with US and UK splits)SE Ranking18 June 2026101,574 websites, 250 countries, January 2025 to April 2026AI referrals are 0.32% of website traffic; ChatGPT sends 74.78% of it
2026 AEO/GEO Benchmarks Report (US)Conductorupdated 6 July 202621.9 million searches; 13,770 domains, 3.3 billion sessionsAI Overviews on 25.11% of searches; AI referrals 1.08% of visits
Adobe Analytics AI traffic report (US retail)Adobe, reported by Digital Commerce 36019 August 2026more than 1 trillion visits to US retail sitesAI referral traffic up 62% year on year in July 2026
AI referral traffic study (UK-run portfolio)Sunny Patel, this site26 August 202612 sites from my wider portfolio, GA4 data, 90 days to 26 August 20264,717 AI referral sessions, 90.1% from ChatGPT

Two gaps worth knowing about. The ONS has published nothing on individual consumer use of AI chatbots, only the business survey above, so Ofcom is the only official UK source for adult adoption. And no official body in either country measures AI search query volume, which is why every volume figure on this page comes from the platforms themselves.

My own data: 12 sites, 90 days, 4,717 AI sessions

The one dataset on this page I can vouch for personally. Across 12 sites in my portfolio, GA4 recorded 4,717 sessions from AI assistants in the 90 days to 26 August 2026: ChatGPT 4,250 (90.1%), Copilot 247 (5.2%), Perplexity 138 (2.9%), Claude 76 (1.6%), Gemini 6 (0.1%). The top site, a health and wellness property, earned 1,357 AI sessions and held that traffic through a Google core update that cut its organic clicks to near zero.

The full method and per-site table are in the AI referral traffic study, and the live snapshot is on AI Visibility Results.

AI search trends for 2026

Seven dated, sourced developments that define AI search this year:

  1. Google's AI surfaces passed the billion mark (19 May 2026). AI Overviews reached 2.5 billion monthly users and AI Mode passed 1 billion within a year of launch (Google I/O 2026 keynote).
  2. AI referrals plateaued while AI usage kept climbing (24 June 2026). Similarweb measured referrals flat at 240 to 280 million a month from mid-2025 to January 2026, with visits to the AI platforms themselves heading toward 1.5 billion a month. More answering, less clicking.
  3. Agentic shopping search tripled (28 July 2026). Salesforce measured a 200% year-on-year rise in shoppers starting a purchase by asking an AI agent rather than a search engine.
  4. AI-referred shoppers now out-convert everyone else (19 August 2026). Adobe Analytics found AI-referred retail visitors convert 60% higher and spend 53% more per visit, with AI retail referrals up 1,219% since October 2024.
  5. Brand sites take most AI citations, ahead of Reddit (30 July 2026). Profound's analysis of 11.84 billion citations put 57% on brand-owned websites, against the common assumption that forums and Wikipedia dominate.
  6. Publishers lost a third of their Google search traffic (12 January 2026). The Reuters Institute measured a 33% global fall in Google search referrals to 2,576 news sites over the year to November 2025.
  7. UK adoption crossed 50% (2 April 2026). Ofcom's survey of 7,533 adults found 54% now use AI tools, and 79% of 16 to 24s.

How to track your AI search visibility

Measure two things separately: whether AI assistants mention or cite your brand at all, and how much referral traffic they actually send.

  • Run the free AI Visibility Checker to see whether ChatGPT and other assistants surface your brand for your core queries, and repeat it monthly to track change over time.
  • In GA4, filter sessions by source containing chatgpt, perplexity, claude, gemini, copilot or openai. That is the method behind the AI Visibility Results page, which shows what the numbers look like on real sites.
  • Check Bing Webmaster Tools for Copilot citation counts, which GA4 undercounts because many Copilot citations never produce a click.
  • Track Google organic clicks and AI referrals as two separate lines. In my data they moved independently through a core update.

For a competitor benchmark and a prioritised fix list, the AI Visibility Audit does this measurement properly.

What These Statistics Mean for Your SEO Strategy

The data points to five actionable conclusions:

1. AI Search Adds a Channel Rather Than Replacing One (Yet)

At 0.32% to 1.08% of website traffic, AI search is an additional channel rather than a replacement for organic search. Google still holds 91.1% of the search engine market. The correct strategic response is to optimise for both channels simultaneously rather than abandoning traditional SEO for AI-only tactics.

2. Entity SEO Is Critical for AI Citations

The 12% overlap between Google rankings and AI citations confirms that traditional ranking signals do not determine AI visibility. What does? Entity recognition. AI models cite sources they recognise as authoritative on a topic. Building entity SEO signals, structured data, consistent brand presence, topical authority, is the foundation for AI citation success.

3. Content Freshness Is Now a Ranking Factor for AI

With 50% of Perplexity citations coming from content published in 2025, and AI-cited pages averaging 25.7% fresher than Google's organic top 10, content that is not regularly updated is at a real disadvantage for AI citation. Implement a systematic content refresh programme. Update statistics, add new sections, and republish with current dates.

4. Schema Markup Helps AI Understand Your Content

Structured data gives AI retrieval systems explicit signals about what your content covers, who created it, and how it relates to other entities. Pages with comprehensive semantic markup give retrieval systems less to guess at. Implement Article, FAQ, HowTo, Person, and Organisation schema across your site. A technical SEO audit service checks schema implementation alongside crawlability and Core Web Vitals, so you know your technical foundation is ready for AI citation as well as traditional rankings.

5. Optimise for Citation as Well as Rankings

The old model: rank high, earn clicks. The emerging model: get cited in AI responses, earn visibility and qualified traffic. This requires restructuring content for direct answerability, adding specific data points, and building the topical depth that makes AI systems confident in citing your content. LLM optimisation is the discipline that addresses this systematically.

Practical Next Steps

  • Audit your current AI visibility using Bing Webmaster Tools Copilot data
  • Identify which content patterns earn citations in your niche
  • Restructure existing content for direct answerability
  • Implement comprehensive schema markup
  • Establish a quarterly content freshness update cycle
  • Build topical authority through comprehensive topic cluster coverage

For a detailed implementation guide, read how to optimise content for AI search. For professional support, explore my AI search optimisation service. I'm a Reading-based SEO consultant working with UK businesses on both traditional and AI search visibility.

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