Which Industries Are Being Affected First by AI Search?

How do you tell which industries are affected?

Two measures answer different questions, and they often disagree:

• How often AI answers appear on the industry's searches. This shows exposure: how many of the searches your customers run now show an AI summary above or instead of the links.
• How much traffic AI assistants send to sites in the industry, usually as a share of all sessions. This shows opportunity: whether assistants are passing visitors on.

Health is the clearest example of the gap. Google shows AI Overviews on most health searches, but health sites receive very little AI-referred traffic. Answers satisfy the question, and fewer people click through. An industry can be highly exposed and receive almost nothing back.

Which industries lost clicks first?

• News publishers. Similarweb reported that zero-click news searches on Google rose from 56% when AI Overviews launched in May 2024 to 69% in May 2025. Organic visits to news sites fell from over 2.3 billion at their mid-2024 peak to under 1.7 billion. Referrals from ChatGPT to news sites grew sharply over the same year, but from a small base that did not make up the difference.
• Homework help and education reference. In February 2025 Chegg sued Google in federal court, claiming that AI summaries of search results had hurt its traffic and revenue.
• Developer Q&A. Stack Overflow's monthly questions peaked around 200,000 in about 2014. The decline accelerated after ChatGPT launched in November 2022, and by May 2025 monthly questions had fallen to early-2009 levels. Developers now ask assistants first.
• Health information. BrightEdge's tracking found AI Overviews on 72% of the healthcare searches it follows in early 2025 and 88% by the end of the year, among the highest of any industry.

What these share is that the searcher wanted an explanation, not a supplier. When an answer can be summarised in a paragraph, the click that used to deliver it is the first thing lost. Pew Research found that people who saw a Google AI summary clicked a traditional result in 8% of visits, against 15% when no summary appeared.

Which industries benefit most from AI-referred traffic: tech, education, SaaS, or finance?

Among these, the clearest measured gains are in insurance and finance, which have some of the highest AI shares of traffic, and in education, which grew fastest. The most detailed public breakdown comes from Previsible, a search agency. It analysed 166 GA4 properties from November 2024 to May 2026, covering 6.77 million sessions referred by AI assistants. It measured "penetration", AI-referred sessions as a share of all sessions:

Three points matter more than the ranking. First, even the leading industries receive only one or two sessions in a hundred from AI assistants. Second, where the visitors land shows what the answers are doing. In software, the largest share arrives on search pages, and in education, over half arrive on course pages. Conversion pages such as enrolment and sign-up had some of the highest AI shares. Third, ChatGPT sent 92.4% of the AI-referred sessions in the study, and almost all of the ecommerce share.

AI-referred visitors are few but often valuable. Several studies report they convert at higher rates than organic visitors, though results vary by site and industry. The evidence is weighed in whether ChatGPT referrals convert better because users have higher intent.

Treat any single study with care. Previsible's figures come from one agency's client sites, and industry averages hide large differences between businesses. Claims that one industry receives most AI clicks usually rest on a narrow sample.

How are AI answers spreading across Google?

BrightEdge's tracking shows AI Overviews on about 31% of its tracked searches in February 2025 and about 48% a year later. By industry, the rise from early to late 2025 was steep:

• Healthcare: 72% to 88%.
• Education: 18% to 83%.
• B2B technology: 36% to 82%.
• Restaurants: 10% to 78%.

Semrush found the same shift by search type. During 2025, informational searches fell from about 91% to about 57% of the searches showing AI Overviews. Commercial searches rose from about 8% to about 19% of them, and transactional searches from about 2% to about 14%. The first wave was informational. The second reaches people comparing options and ready to buy. That is why restaurants and B2B technology, barely affected at first, now look like health did two years ago. How fast adoption is growing overall is covered in how fast AI search is growing and what adoption statistics show.

Which industries are likely to be next?

• Retail and ecommerce. OpenAI launched shopping research in ChatGPT in November 2025, and Adobe reported that AI-referred visits to US retail sites converted 60% better than non-AI traffic in July 2026.
• Travel. Adobe reported AI traffic to US travel sites up 194% year on year in May 2026. Google has begun rolling out hotel booking inside AI Mode in the US with large booking partners. Similarweb found citations in about 23% of travel prompts in ChatGPT, against about 7% of prompts overall.
• Automotive. Similarweb put citations in automotive prompts at about 20%, another category where buyers research at length.
• Local services. A 2026 industry report from Scorpion found 22% of homeowners use AI tools such as ChatGPT to research home-services providers. With AI answers on most restaurant searches, local businesses are no longer on the edge of this.

The pattern is consistent. Industries move from exposed to affected when buyers start asking assistants for comparisons, prices and recommendations, not only explanations.

What should you do, depending on your industry?

In each case the first step is to measure, not rewrite. Whether AI search replaces traditional search for your customers is a separate question, covered in whether AI search is replacing Google or traditional search will remain.

How can you measure your own exposure?

• Pick 30 to 50 questions your customers ask, across learning, comparing and buying.
• Search each one in Google and note whether an AI Overview appears. That is your exposure rate.
• Ask the same questions in ChatGPT, Gemini and Perplexity, and record whether you are named or cited.
• Measure AI-referred sessions as a share of all sessions, and compare it with the industry figures above as a rough guide.
• Check Search Console's report on impressions from AI Overviews and AI Mode for the pages that surface.

Repeat quarterly. The industry averages move quickly, and your own figures matter more than any benchmark.

What might an illustrative case look like?

Consider an illustrative regional insurance broker that assumed AI search mattered only to publishers. Its question set showed AI Overviews on most of its "how much does [cover] cost" searches, and ChatGPT named three national comparison sites, but never the broker, when asked for recommendations. AI-referred sessions were already 1.2% of its traffic, mostly landing on location pages. The broker added clear price ranges and cover explanations to those pages. It also corrected its listings on two directories that answers cited. Six months later, it was named in some recommendation answers for its region, and AI-referred quote requests had doubled from a small base.

What do people ask about industries and AI search?

Is my industry safe if AI traffic is still small?

No. Small referral traffic can hide high exposure. Check how often AI answers appear on your customers' searches, not only how many visitors assistants send.

Are regulated industries such as health and finance treated differently?

AI answers appear heavily in both. Health searches show some of the highest AI Overview rates, while finance and insurance sites receive some of the highest AI-referred traffic shares.

Are B2B companies affected as much as consumer brands?

Increasingly, yes. AI Overviews on B2B technology searches rose sharply during 2025, and software buyers research heavily in assistants.

Which industry data should I trust most?

Your own. Industry studies use different samples and definitions, so use them to set expectations and your own measurements to make decisions.