THE HOOKED DATA LIBRARY · 2026 EDITION

AI Search Statistics (2026): 42 Data Points on Adoption, Clicks and Citations

By Hooked Marketing · Last updated September 28, 2026

Google says AI Overviews reach more than 2.5 billion people each month. OpenAI reports more than 1 billion weekly ChatGPT users, while Pew finds that 60% of US adults have read AI search summaries. (Google, Investor Presentation, June 2026; OpenAI, Expanding Access to AI, August 2026; Pew Research Center, Americans and AI 2026)

This reference brings together 42 distinct data points from Google, OpenAI, Pew Research Center, Similarweb, Ahrefs and BrightLocal. It separates adoption, clicks, referrals and citations so readers can use the numbers without confusing their meaning. The 2026 edition includes dated 2025 evidence where useful; each table identifies the study period and population.

How to use this page: counts refer to different products and populations. Do not add them together. No figure here is presented as a Calgary benchmark or a promise of traffic.

Key takeaways

Definitions: an AI Overview is a summary within Google results; AI Mode is a conversational Google search experience. ChatGPT, Claude and Perplexity are assistants with different retrieval features. A mention names a business, a citation links or attributes a source, a referral is a visit, and a conversion is a separately defined action. This collection does not provide a standalone Claude adoption estimate.

1. AI search adoption and platform reach

Reach tells you whether a channel deserves attention; it does not tell you how much business it will generate. Google reports more than 2.5 billion monthly AI Overview users. Read each audience figure on its own terms: weekly chatbot use, monthly product use, and survey participation cannot be added into a single market size.

AI search adoption and platform reach
MetricValueSource & scope
1. AI Overviews monthly usersOver 2.5 billionGoogle, Investor Presentation, June 2026June 2026 · worldwide
2. AI Mode monthly usersOver 1 billionGoogle, Investor Presentation, June 2026June 2026 · worldwide
3. Gemini app monthly usersOver 900 millionGoogle, Investor Presentation, June 2026June 2026 · worldwide; all uses
4. ChatGPT weekly usersOver 1 billionOpenAI, Expanding Access to AI, August 2026August 2026 · worldwide; all uses
5. US adults who have read AI search summaries60%Pew Research Center, Americans and AI 2026February 2026 · US adults
6. AI share of retail ecommerce visits0.4%Similarweb & Statista, State of Ecommerce, 20262026 report · window unspecified publicly

The final row measures visits, not people. Its narrower retail scope is deliberately labelled. Do not use it to calculate a global AI search market share or a forecast for a Calgary contractor. For a small business, the useful starting point is its own referral and enquiry baseline.

2. What people actually do with ChatGPT

A chatbot audience includes research, writing and many activities unrelated to buying. 49% of messages fell into the “Asking” category in OpenAI’s 2025 analysis. That makes clear explanations useful, but it does not mean every conversation represents a prospective customer.

What people actually do with ChatGPT
MetricValueSource & scope
7. Messages classified as Asking49%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 study
8. Messages classified as Doing40%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 study
9. Messages classified as Expressing11%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 study
10. Conversations about guidance, information or writingAbout 75%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 summary
11. Daily messages after six months versus signup50% moreOpenAI, How ChatGPT Adoption Has Expanded, 20262026 account-cohort analysis
12. Distinct tasks tried after six months2×OpenAI, How ChatGPT Adoption Has Expanded, 20262026 account-cohort analysis

The first four rows are a dated description of consumer use, not a 2026 search-query census. The cohort findings describe increasing engagement with the product. Neither establishes which websites will be recommended. Our editorial recommendation is to answer the questions a buyer needs resolved: suitability, process, costs, evidence and limitations.

3. AI Overviews and clicks to websites

Visibility does not automatically produce a visit. Traditional-result clicks occurred on 8% of visits with an AI summary, versus 15% without one in Pew’s observed sample. A business should therefore track useful enquiries alongside rankings and impressions.

Traditional-result click rates: 8% with AI summaries, 15% without; Pew US study March 2025
Traditional-result clicks per search-page visit. Source: Pew Research Center, March 2025 US browsing study.
AI Overviews and clicks to websites
MetricValueSource & scope
13. Traditional-result click, summary present8%Pew Research Center, Google AI Summary Click Study, 2025US browsing · March 2025
14. Traditional-result click, no summary15%Pew Research Center, Google AI Summary Click Study, 2025US browsing · March 2025
15. Click on a source inside an AI summary1%Pew Research Center, Google AI Summary Click Study, 2025US browsing · March 2025
16. Session ended after a summary page26%Pew Research Center, Google AI Summary Click Study, 2025US browsing · March 2025
17. Session ended after a page without a summary16%Pew Research Center, Google AI Summary Click Study, 2025US browsing · March 2025
18. Searches that produced an AI summary18%Pew Research Center, Google AI Summary Click Study, 2025Study sample · March 2025

This is a 2025 snapshot, not a current universal click rate. Query differences prevent a causal conclusion. We recommend comparing similar pages and search intents over time rather than treating every traffic change as an AI effect.

4. AI referral traffic by industry

A growing channel can still account for a small part of a business’s acquisition. Similarweb estimates 770.7 million monthly AI referral visits across its worldwide measurement period. Category totals help describe the channel, but they are not a traffic target for an individual website.

AI referral traffic by industry
MetricValueSource & scope
19. AI referrals, monthly average770.7 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Worldwide web · June 2025–May 2026
20. AI referrals, year-over-year growth117.4%Similarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
21. Marketplace referrals, monthly average46.8 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
22. News referrals, monthly average44.5 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
23. Travel referrals, monthly average44.5 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
24. Beauty referrals, year-over-year growth312.5%Similarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window

Volume and growth answer different questions. A small starting base can produce a large percentage increase. Record landing pages, engaged visits and enquiries from each identifiable AI referrer, then compare with other channels. Keep unattributed visits separate instead of assuming they all came from AI.

5. Source citations and the limits of optimization claims

A citation is an opportunity to be seen, not proof of a click or sale. 88% of the AI summaries in Pew’s sample cited at least three sources. The schema study below asks a different question: whether adding markup changed citation frequency for pages already receiving citations.

Source citations and the limits of optimization claims
MetricValueSource & scope
25. AI summaries citing at least three sources88%Pew Research Center, Google AI Summary Click Study, 2025Google sample · 2025
26. Summary sources from Wikipedia, YouTube and Reddit combined15%Pew Research Center, Google AI Summary Click Study, 2025Google sample · 2025
27. Summary sources on government domains6%Pew Research Center, Google AI Summary Click Study, 2025Google sample · 2025
28. AI Overview citation change after adding schema−4.6%Ahrefs, Schema and AI Citations Study, 2026Relative to matched controls
29. AI Mode citation change after adding schema+2.4%Ahrefs, Schema and AI Citations Study, 2026Not statistically distinguishable from zero
30. ChatGPT citation change after adding schema+2.2%Ahrefs, Schema and AI Citations Study, 2026Not statistically distinguishable from zero

Ahrefs found no clear citation uplift. Its small AI Overview decline should not be read as proof that schema harms visibility: other changes could contribute, and already-visible pages limit generalization. Google’s guidance supports ordinary SEO fundamentals rather than special AI markup. Read Google’s guidance. Our recommendation is to make evidence accessible and keep structured data accurate, not to sell a markup-only shortcut.

6. Trust, reviews and local recommendations

Being recommended is only part of winning a customer’s confidence. 45% reported using generative AI for local recommendations in BrightLocal’s 2026 survey. Trust and review findings offer context for what a useful business presence needs to communicate.

Trust, reviews and local recommendations
MetricValueSource & scope
31. At least some trust in AI summary information53%Pew Research Center, Views of AI Summaries, 2025US summary users · August 2025
32. A lot of trust in AI summary information6%Pew Research Center, Views of AI Summaries, 2025US summary users · August 2025
33. Little or no trust in AI summary information46%Pew Research Center, Views of AI Summaries, 2025US summary users · August 2025
34. Use of generative AI for local recommendations45%BrightLocal, Local Consumer Review Survey, 2026US consumers · 2026 survey
35. Consumers reading local-business reviews97%BrightLocal, Local Consumer Review Survey, 2026US consumers · 2026 survey
36. Likely to visit a website after positive reviews54%BrightLocal, Local Consumer Review Survey, 2026US consumers · 2026; multiple responses allowed

These are separate studies, not one funnel. They do not establish a review count that causes an AI citation. Our practical advice is to keep your services, service area, contact details and client evidence consistent. The local SEO work behind that presence remains useful whether someone arrives from a search result, a recommendation or a direct visit.

7. Differences across ages and audiences

An overall adoption figure can hide differences in who uses a tool. 72% of US adults aged 18–29 reported reading AI search summaries, compared with a smaller share among older adults. Avoid assuming that a national average describes your own customer base.

AI summary readership by age: 72%, 68%, 59%, 38%; Pew US survey February 2026
US adults reporting that they have read AI search summaries. Source: Pew Research Center, February 2026 survey.
Differences across ages and audiences
MetricValueSource & scope
37. Read AI search summaries: ages 18–2972%Pew Research Center, Americans and AI 2026US adults · February 2026
38. Read AI search summaries: ages 30–4968%Pew Research Center, Americans and AI 2026US adults · February 2026
39. Read AI search summaries: ages 50–6459%Pew Research Center, Americans and AI 2026US adults · February 2026
40. Read AI search summaries: ages 65+38%Pew Research Center, Americans and AI 2026US adults · February 2026
41. Feminine-name share among classifiable ChatGPT users52%OpenAI, How People Are Using ChatGPT, 2025July 2025; name-based proxy, not gender census
42. Adoption growth: lowest- versus highest-income countriesOver 4×OpenAI, How People Are Using ChatGPT, 2025By May 2025; growth comparison, not penetration

Country-level growth and name classification are imperfect audience indicators. For campaign decisions, ask actual customers how they discovered you and record the answer alongside analytics. This is especially important when applying US survey results to a Canadian business.

Summary: AI search by the numbers

A selection of the figures above for quick reference. These repeat existing statistics and are not counted again in the headline total.

Selected statistics — preserve the source and scope when quoting
MetricValueSource & scope
AI Overviews monthly usersOver 2.5 billionGoogle, Investor Presentation, June 2026June 2026 · worldwide
AI Mode monthly usersOver 1 billionGoogle, Investor Presentation, June 2026June 2026 · worldwide
Gemini app monthly usersOver 900 millionGoogle, Investor Presentation, June 2026June 2026 · worldwide; all uses
ChatGPT weekly usersOver 1 billionOpenAI, Expanding Access to AI, August 2026August 2026 · worldwide; all uses
US adults who have read AI search summaries60%Pew Research Center, Americans and AI 2026February 2026 · US adults
AI share of retail ecommerce visits0.4%Similarweb & Statista, State of Ecommerce, 20262026 report · window unspecified publicly
Messages classified as Asking49%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 study
Messages classified as Doing40%OpenAI, How People Are Using ChatGPT, 2025Consumer usage · 2025 study
Daily messages after six months versus signup50% moreOpenAI, How ChatGPT Adoption Has Expanded, 20262026 account-cohort analysis
Distinct tasks tried after six months2×OpenAI, How ChatGPT Adoption Has Expanded, 20262026 account-cohort analysis
AI referrals, monthly average770.7 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Worldwide web · June 2025–May 2026
AI referrals, year-over-year growth117.4%Similarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
Marketplace referrals, monthly average46.8 millionSimilarweb, Generative AI Landscape / Referral Traffic, 2026Same measurement window
AI Overview citation change after adding schema−4.6%Ahrefs, Schema and AI Citations Study, 2026Relative to matched controls
ChatGPT citation change after adding schema+2.2%Ahrefs, Schema and AI Citations Study, 2026Not statistically distinguishable from zero
Use of generative AI for local recommendations45%BrightLocal, Local Consumer Review Survey, 2026US consumers · 2026 survey
Read AI search summaries: ages 18–2972%Pew Research Center, Americans and AI 2026US adults · February 2026

What these findings mean for a local business

Our interpretation is to treat AI discovery as part of a broader customer journey. Start by identifying which questions potential customers ask before they call. A useful page should make its subject, audience, location and evidence easy for a person to understand.

Keep three separate records: where your business is mentioned, which visits reach your website, and which enquiries become suitable work. A screenshot of an AI recommendation is evidence of that response at that moment. It is not a ranking guarantee or an attribution report.

For a service business, we recommend a monthly review of relevant landing pages, identifiable referral sources, qualified calls and forms, and customer-reported discovery. Use consistent definitions so changes mean something. If a report says “conversion,” confirm whether it means a click, a form, a qualified lead or a completed sale.

A clear service website can explain who you help and make the next step straightforward. Our SEO versus Google Ads guide helps put the longer-term discovery work alongside paid acquisition. The studies on this page do not establish a universal budget split.

Our recommendation is to improve a page when it has a useful answer missing, weak evidence, confusing navigation or an unclear offer. Publishing a large volume of near-identical answers simply to chase AI exposure is not the goal. Google’s official guidance continues to emphasize useful content and technical clarity.

Methodology and sources

Last updated: September 28, 2026. This is a secondary synthesis of original research and provider disclosures, not a Hooked survey. The 42 numbered table rows are unique retained data points; summary rows, chart labels and takeaways are duplicates and excluded from that count.

We screened 64 candidate statistics and retained 42. The collection uses 11 original research/provider publications plus one official guidance document. No statistic is sourced to a blog quoting another organization’s research. Vendor research is included when the vendor is reporting its own dataset; that does not make it independent of commercial interests.

  • Dates: 24 retained rows come from publications released in 2026, some using 2025–2026 observations. The remaining 18 are explicitly dated 2025 findings. A publication date is not necessarily its measurement date.
  • Geography: US surveys, worldwide web estimates and product disclosures stay separate. No Canadian or Calgary estimate was manufactured from them.
  • Comparability: weekly and monthly users are not comparable market shares. Retail visit share and global referral growth have different denominators. We do not combine them.
  • Market size: no dollar valuation or forecast is included; we found no need to equate the AI software market with AI search. This avoids combining incompatible market definitions.
  • Causality: observed differences and matched estimates do not prove that a single feature caused a business outcome.
  • Recency: no retained source is more than three years old. The 2025 behavioural studies are historical snapshots, not claims about today’s interface. New click-behaviour and demographic releases should be checked at the next review.
  • Update policy: quarterly editorial review, with corrections when identified. The date above records this review; future updates require a fresh source check.

Source register

How to cite this resource

Hooked Marketing. “AI Search Statistics (2026): 42 Data Points on Adoption, Clicks and Citations.” Updated September 28, 2026. When quoting a number, also credit and link its original study, including the date and population.

Browse the digital marketing statistics hub for related research. To discuss the practical implications for your business or report a source correction, contact Hooked Marketing.