Pew's Latest Search Study Reveals a New Challenge for SEO in 2026
40% of U.S. adults now use AI chatbots to find information. The formula of rank high, get clicks, drive traffic is outdated. Here’s what the data shows and what it means for search visibility going forward.
in search results
when AI summary shown
use AI chatbots
(up from 34%)
end without a click
traffic last year
For years, the digital marketing playbook was straightforward: rank high in Google, get clicks, drive traffic. That approach is now being disrupted by a structural shift in how people find information.
A February 2026 Pew Research Centre study of 5,119 U.S. adults reveals just how quickly AI-powered search is changing user behaviour — and what that means for anyone whose business depends on organic visibility.
01What the Pew Study Found
AI summaries are now mainstream
Demographic breakdown shows men read them slightly more (63%) than women (57%). Adults over 65 are the least likely group to use AI search summaries.
Chatbot usage has nearly doubled in two years
ChatGPT leads, but the market is fragmenting
| Platform | 2025 Usage | 2026 Usage | Change |
|---|---|---|---|
| ChatGPT | 34% | 44% | +10pp |
| Gemini | ~18% | ~25% | +7pp |
| Copilot | ~14% | ~18% | +4pp |
| Meta AI | ~10% | ~15% | +5pp |
Trust is falling as usage rises
Pew found a notable paradox: while more people are using AI search tools, trust in them is declining. Only around 6% of Americans trust AI summaries “a lot.” Four in ten believe AI will hurt society over the next 20 years. About 31% think it will affect them personally in a negative way.
This trust gap matters for content creators. Users who are sceptical of AI-generated answers are more likely to seek out original, authoritative sources — which creates an opportunity for businesses that invest in genuine expertise and credible content.
02The Click-Through Problem
Across the broader industry, the data reinforces this shift: 60% of Google searches now end without any click at all. AI Overviews appear on approximately 48% of all queries. Where they appear, organic click-through rates have dropped anywhere from 15% to 89% depending on query type.
The implication is significant. Ranking on page one no longer guarantees traffic. The goal has shifted: businesses now need their content to be cited within the AI answer, not just positioned below it.
03What Is GEO — and Why It Matters Now
Generative Engine Optimisation (GEO) is the discipline of structuring content so that AI systems — Google AI Overview, ChatGPT, Gemini, Perplexity — cite your pages when generating answers. It is distinct from traditional SEO, which focuses on ranking pages and generating clicks.
Research from Princeton University and other institutions found that GEO techniques can increase a website’s visibility in AI-generated answers by up to 40%.
Unlike traditional SEO where rankings are the primary signal, GEO success is measured by whether your brand and content appear in AI-generated responses — not just how often they appear in the blue links below.
04What to Measure Now
The Pew data signals that traditional metrics — rankings and organic click volume — are no longer sufficient measures of search visibility. Forward-looking teams are beginning to track:
- How often content is cited within AI Overview answers
- Whether brand name appears in AI-generated responses (across Google, ChatGPT, Gemini, Perplexity)
- Volume of traffic arriving via AI referral channels
- Conversion rates from AI-referral visitors
05Content Structure for AI Citation
Write for AI first, then for humans
AI systems extract answers from the first 45–100 words of an article. Placing the core answer at the very start of a piece — before context, caveats, or backstory — significantly increases the chance of AI citation. This is a structural change, not just a stylistic preference.
- ✓Answer the main question within the first 45–100 words
- ✓Use clear H2/H3 headings that match question-style queries
- ✓Include bullet points, tables, and FAQs for machine readability
- ✓Add structured data (Schema.org markup) where applicable
- ✓Name entities clearly — people, organisations, locations, dates
- ✓Include original data or cited research where possible
Content formats AI systems favour most
06Third-Party Platforms in AI Citations
The Pew study’s data on AI citation sources confirms that Google’s AI Overviews draw heavily from social and video platforms — not just traditional websites. This has meaningful implications for content distribution strategy.
Platform share of AI Overview citations:
A business presence on these platforms is no longer optional for AI search visibility. Content published on Reddit communities, YouTube, and LinkedIn is being pulled directly into AI-generated answers at a significant rate.
07Local SEO and E-commerce Implications
Local search
Google’s AI Overviews are now pulling business information directly from Google Business Profiles for local searches. The practical effect is that a complete, well-maintained GBP — including reviews, categories, Q&A, and regular posts — contributes directly to AI Overview citations for local queries.
NAP (Name, Address, Phone) consistency across all directories also matters, as AI systems cross-reference multiple sources to validate business information before including it in a generated answer.
E-commerce
Only about 38% of AI Overview citations for commercial queries also rank in the organic top 10 — down from 76% a year ago. This means that traditional rankings are an increasingly unreliable predictor of AI visibility for product-related searches.
Structured product data (rich snippets, product schema) and well-organised collection pages are the primary levers for improving AI citation rates in e-commerce contexts.
08The Two-Track Content Strategy
One practical framework emerging from GEO research separates content into two distinct tracks, each with a different objective:
| Track | Primary goal | Format | Optimised for |
|---|---|---|---|
| AI Citation track | Appear inside AI-generated answers | FAQs, how-tos, definitions, data summaries | Answer extraction, machine readability |
| Conversion track | Turn visitors into customers | Landing pages, case studies, product pages | User intent, persuasion, CTA |
The content that AI cites is often the same content that reduces click-through — because the AI has already answered the user’s question. Separating these two goals into distinct content types resolves that tension.
09International and Multilingual Scope
AI Overviews are now active in over 200 countries and available in more than 40 languages. This makes multilingual SEO and international content strategy more consequential than before — content that exists only in English will be invisible in AI-generated answers for non-English queries, even in markets where English has historically performed adequately.
For businesses with international reach, creating content that addresses culturally specific questions in local languages is now a direct AI-visibility requirement, not just a nice-to-have.
10The Silver Lining
Furthermore, GEO is emerging as a massive new service line for agencies and consultants, with performance marketing teams now specifically budgeting for it. The brands and agencies that adapt first won’t just survive this shift — they will dominate a less crowded, higher-intent traffic channel.
11What to Do Next
The Pew Research data is clear. AI summaries and chatbots are changing how people find information. Here is your action plan:
- Check how visible you are in AI search results right now
- Restructure your content so AI can pull from it easily
- Get your technical foundation in place
- Build a GEO strategy alongside your regular SEO
- Track citations and brand mentions in AI responses
- Build trust through quality, expertise, and transparency
As experts are saying, the future of SEO isn’t about ranking higher. It’s about becoming the answer.
The rules have changed. Adapt quickly, and you will thrive. This isn’t the end of SEO — it’s a new beginning.
12Frequently Asked Questions
No. AI summaries and chatbot answers still draw heavily on well-structured, well-optimised, crawlable content. Traditional SEO fundamentals remain the foundation that AI visibility is built on top of — not a separate or outdated discipline.
Run your most important target queries through tools like ChatGPT, Gemini, and Copilot directly, and note whether your brand or content gets referenced. Some SEO platforms are also starting to offer dedicated AI visibility tracking.
Pew’s report doesn’t dig into the reasons behind this gap, only the size of it (63% versus 57%). It’s worth noting as a data point, but not something to draw firm conclusions from without more research.
Yes, to a degree. With 38% of employed adults using chatbots for work tasks, it’s reasonable to assume some portion of B2B research and vendor comparison is happening inside chat tools. Brands with no presence in content that chatbots might reference risk being left out of that research phase entirely.
ChatGPT, given its 44% adoption rate and continued growth, is the clear priority. Gemini is a reasonable second focus, with Copilot and Meta AI worth monitoring as well.