The conversation about AI search has moved from "is this going to happen?" to "how fast is it happening and what do we do about it?" The statistics below help answer both questions. This is a living document — we will update it as the data evolves through 2026.
A note on sourcing: AI search data is still emerging, and different research methodologies produce different numbers. Where studies conflict, we have noted the range and linked to primary sources. Treat all statistics in a rapidly evolving space as directional rather than definitive.
Key Takeaways
- AI search tool usage has grown faster than any previous search format shift — faster than the adoption of mobile search and faster than the adoption of voice search.
- Zero-click search behaviour is increasing: a significant proportion of AI search queries end without any click to a source, which means brand visibility in AI answers matters even when it does not drive direct traffic.
- Organic click-through rates for informational queries have declined measurably since the rollout of AI Overviews — but commercial and transactional queries remain largely click-dependent.
- Early data shows that brands cited in AI answers see measurable increases in branded search volume, suggesting AI citation drives upper-funnel awareness even without direct referral traffic.
- The industries most affected by AI search disruption are those where buyers use search for research rather than navigation — B2B, healthcare, financial services, and professional services.
AI Search Adoption: The Scale of the Shift
The pace of AI search adoption has been unlike any previous technology shift in search. ChatGPT reached 100 million users within two months of launch — faster than any consumer internet product in history, according to Reuters (2023). That user base has continued to grow significantly since.
Perplexity has reported over 15 million monthly active users and approximately 500 million queries per month as of early 2025 — significant numbers for a product that did not exist three years ago. Google's AI Overviews, rolled out in the US in May 2024, now appear on a substantial portion of search results pages for informational queries.
According to Gartner (2024), traditional search engine volume is projected to fall by 25% by 2026 due to the adoption of AI chatbots and virtual agents. This does not mean 25% of searches disappear — it means 25% of queries that would previously have been entered into Google are now being entered into AI interfaces instead.
What Happens to Clicks When AI Answers the Question
The most commercially important question for SEO teams is not whether people use AI search — it is what happens to website traffic when they do. The data here is nuanced and varies significantly by query type.
Research from Semrush (2024) found that pages appearing in Google AI Overviews saw an average click-through rate reduction of approximately 8-10% for informational queries. However, pages cited as sources within AI Overviews — not just mentioned, but explicitly linked as supporting sources — often maintained or even slightly improved their CTR, because the citation created a high-trust referral context.
The pattern that emerges is this: zero-click behaviour increases for simple informational queries (definitions, quick facts, how-to basics), while click behaviour remains strong for complex queries, commercial intent queries, and queries where the user needs to evaluate options or take action.
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Which Industries Are Most Affected
AI search disruption is not evenly distributed. The industries where buyer behaviour is changing most rapidly are those where search has traditionally been used for research rather than navigation.
B2B Software and SaaS
According to Gartner (2025), 43% of B2B buyers now use AI tools as part of their vendor research process. For SaaS buyers evaluating multiple tools, AI search is increasingly the first port of call — used to get a landscape overview before entering vendor-specific search. Brands that are well-cited in AI answers for category-level queries have a significant advantage in these initial awareness and consideration moments.
Healthcare and Professional Services
Healthcare queries — symptoms, treatments, providers — are among the most common use cases for AI search tools. The same pattern applies to professional services: accounting, legal, financial advice. People are using AI to get a lay-of-the-land before engaging a professional. Firms that appear in AI answers for relevant questions are being considered by prospects who may never have found them through traditional search.
E-commerce
For e-commerce, the picture is mixed. Product discovery — finding new brands or categories — is increasingly happening via AI search. But transactional queries (specific product searches with purchase intent) continue to drive strong click behaviour to product pages. The e-commerce brands most at risk are those relying heavily on informational content for traffic acquisition — their AI Overview displacement is higher, and their direct traffic from AI citations is lower than in other categories.
Referral Traffic From AI Platforms
Direct referral traffic from AI search tools remains small relative to organic search volume but is growing meaningfully. Similarweb data (2025) shows Perplexity sending increasing volumes of referral traffic to cited sources, particularly for research-oriented queries in technology, finance, and healthcare verticals. ChatGPT's browsing feature drives lower referral volume but higher engagement per visit — users arriving from an AI recommendation tend to spend more time on site and convert at higher rates.
The more significant effect may be indirect. When AI tools cite a brand, users frequently follow up with a branded search — looking specifically for that company rather than using a generic query. This branded search uplift does not appear as AI referral traffic but is a measurable downstream effect of AI citation.
What Marketers Say About AI Search Impact
Survey data from practitioners is directionally consistent with the web analytics data. In a Search Engine Land survey (2025), 67% of SEO professionals reported that AI Overviews had negatively affected organic click-through rates for at least some of their target queries. However, 41% also reported that being cited as a source in AI Overviews had positively affected branded search volume and brand recognition.
The emerging consensus is that AI search is a net negative for raw traffic volumes in the short term — but that brands investing in citation visibility are building a brand awareness channel that traditional search analytics does not fully capture.
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Frequently Asked Questions
Is organic search dead because of AI?
No. Traditional organic search continues to drive the majority of web traffic and is not going away. What is changing is the distribution of that traffic — informational queries are increasingly resolved inside AI interfaces without a click, while navigational and transactional queries continue to drive strong click-through behaviour. The businesses most affected are those that derived the majority of their organic traffic from informational content rather than commercial or product-focused pages.
How much traffic is coming from AI search tools right now?
Definitively measuring AI search referral traffic is difficult because many AI platforms do not pass standard referrer data consistently. Estimates vary widely. Perplexity has publicly stated it sends approximately 500 million queries per month, a proportion of which result in clicks. For most businesses, AI referral traffic currently represents less than 5% of total organic traffic — but growth rates are high and the trend is clear.
Are AI search statistics reliable given how fast the landscape changes?
This is a fair concern. Statistics in this space have a short shelf life — what was accurate in Q1 2025 may be significantly out of date by Q4 2026. Treat all figures as directional rather than definitive, always check publication dates on research you reference, and weight primary data sources (Gartner, Semrush, Similarweb, SparkToro) over secondary aggregation. We update this article as new data becomes available.
Which AI search platform sends the most referral traffic?
Perplexity currently drives the highest volume of direct referral clicks relative to its user base, because its interface prominently displays source links and the user experience encourages clicking through to read more. Google AI Overviews drive lower click rates per appearance but reach a vastly larger audience. ChatGPT Search drives lower referral volume overall but higher engagement quality per visit.
The Bottom Line
The statistics confirm what search practitioners are already experiencing: AI search is materially changing the flow of organic traffic, and the impact is not uniform. Informational traffic is most at risk. Brand awareness through AI citation is a real and growing channel. And the businesses investing in AI visibility now are building an advantage that will compound as adoption increases.
If you want to understand how your business is positioned in this landscape and what it would take to build meaningful AI citation visibility, speak with our team. We run AI visibility assessments as part of every AI SEO engagement.
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Written by
Anjan LuthraManaging Partner, Indexed
Anjan Luthra is Managing Partner at Indexed. He has spent over a decade inside high-growth companies building organic search into their primary acquisition channel, and writes about SEO strategy, AI search, and revenue a…