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AI summaries and conversational search are changing how some customers research products and businesses before they visit a website. That creates a new place to be discovered, but it does not mean traditional search has disappeared—or that every business will lose traffic. The practical response is to make useful, trustworthy information easy to find in both classic search results and AI-assisted answers, then measure visibility and business outcomes separately.
What is changing in customer discovery?
Search is becoming more conversational. Rather than entering a few keywords, people may ask a detailed question such as Google’s example, “how to build a website for a small business with limited resources.” Google says AI features can help with longer, more complex queries, while quick-answer searches may not lead to a website click. Google’s description of AI in Search is a platform account, not an independent measure of how every business is affected.
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AI-assisted discovery adds to the channels customers use; the available findings do not establish that it has replaced traditional search. Gartner’s January 2026 release recommends that marketers address both AI-driven and traditional search. Its underlying U.S. surveys were conducted in June–August 2025. Gartner reported that 51% of respondents in a July–August survey said generative AI had changed their research habits; among those reporting a change, 71% said they had changed how they phrased queries. These are survey responses, not observed behavior across all markets. Gartner’s survey findings and methodology.
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Could AI summaries affect clicks to your site?
They can change what happens during a search, but the effect depends on the search, the audience, and the metric being measured. Pew Research Center analyzed the March 2025 browsing activity of 900 U.S. adults. In visits to Google where an AI summary appeared, users clicked a traditional result in 8% of visits, compared with 15% of visits without a summary. A link cited within a summary was clicked in 1% of visits with one. The study also found that 18% of Google searches in its sample produced an AI summary, and 88% of those summaries cited at least three sources. These are findings from one month of U.S. Google browsing, not a forecast for every search engine, business, or future version of AI summaries. Pew’s study of clicks on Google AI summaries.
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Other figures describe different populations and measures, so they do not settle the question of what will happen to an individual business:
- Google’s platform-wide account: In August 2025, Google said total organic click volume from Search was relatively stable year over year. It also reported that U.S. and India usage of Google for query types that show AI Overviews had increased by more than 10%, citing its internal data from January 2025. Both are company-reported findings; the usage figure is limited to those query types, not all Google use. Google’s account of Search queries and clicks.
- Publisher referral data: The Reuters Institute’s 2026 report said Google organic referrals to its sample of 2,576 publisher sites fell 33% globally between November 2024 and November 2025. It said the share attributable to AI Overviews was unclear. This is a publisher-site referral measure, not a result for businesses generally. Reuters Institute’s 2026 trends and predictions report.
- Consumer survey responses: Gartner reported that 31% of U.S. respondents said AI summaries made them spend more time searching, while 16% said they spent less. In the same release, 31% said they considered more product options because of AI Overviews, while 7% said they considered fewer. These survey findings suggest that discovery may involve more research or a wider set of options for some consumers; they do not measure traffic to a particular business.
The numbers are not directly comparable: they cover different audiences, time windows, and outcomes—click behavior, aggregate Search activity, publisher referrals, or survey answers. A change in referrals does not by itself prove AI caused the change, and an impression is not a visit. Gartner, Google, Pew Research Center, and the Reuters Institute each measure something different.
What should a business do?
Keep serving both search experiences
Maintain the pages and information that help customers find you through ordinary search results, and make them useful for people arriving through AI-assisted discovery too. Gartner’s recommendation is to optimize for both, not to treat AI as a replacement for traditional search. As Emma Mathison, Senior Principal in Gartner’s Marketing practice, put it: “Marketers cannot afford to think of AI as a replacement for traditional search.” Gartner’s January 20, 2026 release.
Answer real customer questions clearly
Build content around the questions customers actually ask: what a product or service does, who it is for, how options differ, what it costs when you can state that accurately, and what limitations or requirements matter. Use specific, conversational wording and support claims with clear details. Comparisons, FAQs, and reviews can help when they serve a genuine customer need. These are editorial practices, not guaranteed ways to appear in an AI answer or a promise of improved ranking.
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Keep your business facts consistent
Check that important details—such as your business name, products, service area, policies, and contact information—are accurate wherever customers may encounter them. AI-powered discovery can draw on a broader set of sources, according to McKinsey’s strategic analysis; that is a reason to keep public-facing information coherent, not a published ranking formula. McKinsey’s analysis of AI search.
Measure visibility separately from results
Google Search Console’s generative AI performance report covers impressions in AI Overviews and AI Mode. Google says the report can be segmented by page, country, date, and device; its documentation states that the report was rolled out worldwide as of August 31, 2026, with availability potentially dependent on a site receiving enough impressions. An impression signals visibility, not a click, lead, or sale. Compare the report with your site analytics and business measures such as qualified leads, sales, or branded demand; the report’s documented scope does not attribute those outcomes to AI answers. Google Search Console’s generative AI performance report documentation.
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Segment your own analysis
Do not rely on one overall traffic number to explain a changing discovery mix. Where your data allows, separate results by geography, business type, query intent, and content format. A local service business, an online store, and a publisher may have different customer journeys, while the cited studies measure U.S. browsing, platform-wide Search activity, publisher referrals, or survey responses. Those distinctions make outside figures useful context, not a substitute for your own measurement.
How to read forecasts about AI search
Forecasts can signal potential exposure, but they are not records of what has already happened. McKinsey’s October 2025 article draws on an August 2025 survey of a representative U.S. consumer panel of 1,927 people. It reports that 44% of surveyed users of AI-powered search called it their primary and preferred source of insight. The article also projects $750 billion in U.S. revenue by 2028 and estimates a possible 20% to 50% decline in traditional-search traffic for unprepared brands. The revenue figure is a projection and the traffic range an estimate of risk—not observed results or a universal prediction for individual businesses. McKinsey’s survey and projections.
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