ChatGPT Now Drives 92% of AI Referral Traffic, Study Finds

ChatGPT now accounts for 92.4% of all trackable referral traffic from standalone AI platforms, up from roughly 84% seven months ago, according to a new analysis of 6.77 million AI-driven sessions. Claude has overtaken Perplexity as the fastest-growing challenger, while Microsoft Copilot has collapsed by 96% from its peak. The takeaway for anyone tracking AI search visibility is blunt: a GEO strategy that isn't built around ChatGPT first is optimising for the wrong platform.

What changed?

Previsible, a GEO agency, published the third edition of its AI Traffic Study on 6 July 2026, expanding its dataset to 6.77 million LLM-driven sessions across 166 websites spanning SaaS, e-commerce, finance, legal, health, insurance, education and publishing, according to Search Engine Land.

The headline finding is consolidation, not diversification. ChatGPT commands 92.4% of trackable LLM referral traffic, growing 12.8 times over 19 months with no sign of slowing, per Previsible's report. That is a sharp jump from the same study's previous edition, when ChatGPT's share stood at about 84% in December 2025, with Perplexity at 8.9%, Gemini at 4.5%, Copilot at 2.1% and Claude at just 0.6%.

The most interesting movement is happening below the top spot. Claude grew 64 times, from 133 sessions in November 2024 to 8,528 in May 2026, and overtook Perplexity in March 2026 for the first time, Previsible reports. It stayed ahead after that, with growth accelerating fourfold in two months as Claude's agentic tools and enterprise integrations gained adoption.

Perplexity's trajectory has gone the other way. Monthly sessions fell by 61% since March 2025, partly because Perplexity has been keeping users inside its own browser and agent tools rather than sending them onward, according to the report cited by Marketing Tech News. Copilot fared worse still, dropping 96% from a peak of 8,651 monthly sessions in August 2025 to just 339 in May 2026.

Gemini has quietly become the steady number two, growing 3.2 times to become the second most visible model behind ChatGPT, per Business Wire's coverage of the report.

The study also flags a November 2025 wobble worth knowing about if traffic dipped unexpectedly around then: sessions fell 50% in one month, driven almost entirely by ChatGPT referrals dropping from 448,412 to 213,345 while other platforms held steady. Previsible attributes this to a model-level change, noting that modest product tweaks have previously halved some sites' ChatGPT traffic when the model shifted to favouring sources like Wikipedia and Reddit.

Crucially, the study is upfront about what it doesn't measure. It covers standalone LLM referral traffic only. AI discovery inside Google's own results, including AI Overviews, almost certainly drives more AI-related traffic than all standalone platforms combined, but it operates on a different measurement paradigm and is excluded here, as ALM Corp's summary of the report notes.

Why does this matter for your business?

If you've been spreading AI visibility efforts evenly across ChatGPT, Perplexity, Gemini and Copilot, this data suggests you're misallocating effort. ChatGPT is the only standalone LLM sending meaningful referral volume at scale, so optimising for "AI visibility" in the abstract, without prioritising ChatGPT specifically, means chasing a target that barely exists in the traffic data.

The study also reveals a landing-page problem many brands haven't noticed. For SaaS sites, search results pages capture 34.6% of ChatGPT referrals. ChatGPT trusts the domain but can't identify the right page, so it routes the user to an internal search result instead. Sites with strong search UX convert these sessions; sites without one lose high-intent visitors at the front door.

Publishers face a particularly stark imbalance. News pages capture 54% of LLM referrals, yet against more than 120 million organic sessions, penetration is just 0.08%, according to Previsible's report. Publishers produce much of the content LLMs train on and cite, but capture almost none of the resulting traffic.

There's also a behavioural split worth building strategy around. ChatGPT and Gemini behave as search-pattern models, leaning on domain trust with page-level uncertainty. Perplexity and Claude behave as content-selection models, picking specific pages and over-indexing on long-form content. If editorial content drives your qualified traffic, Perplexity and Claude matter disproportionately to their current market share.

E-commerce brands should note that product pages are the primary AI landing surface, with traffic almost entirely from ChatGPT and users arriving with purchase intent already formed. Structured, comparable product data is becoming an AI discoverability requirement, not just a conversion optimisation nice-to-have.

What should you do now?

Previsible's report author frames the priority order clearly: build the foundation in search first, becoming a source Google's AI results want to cite through solid site architecture and content signals, then focus on winning ChatGPT as the leading standalone surface, according to Search Engine Land.

Concretely, the report recommends building citation-worthy evidence, improving authority across trusted third-party sources, making websites easier for AI systems to read and extract, optimising for answer journeys, and measuring business impact rather than broad visibility alone.

Three practical actions follow from the data. First, audit your internal site search: if ChatGPT is sending a large share of its referrals to search results pages rather than specific answers, a weak search experience is quietly costing you conversions. Second, don't ignore Claude just because its raw numbers are still small; its 64-times growth and pull with developers and technical buyers make it worth monitoring, particularly for B2B and professional-services brands.

Third, treat Google's AI Overviews and AI Mode as the bigger prize, even though this study excludes them. That surface likely dwarfs standalone chatbot referrals combined, so ChatGPT optimisation should sit alongside, not instead of, classic search visibility work. If you haven't checked where your brand currently stands across these different AI surfaces, running a free audit with a tool like Sited's at https://sited.online is a fast way to spot the gaps before rebuilding your GEO priorities.

Frequently asked questions

Does this study include Google's AI Overviews?

No. The report measures referral traffic from standalone chatbot platforms only. AI discovery inside Google's own results, including AI Overviews, almost certainly represents a larger volume of AI-driven traffic than all standalone LLM platforms combined, but it doesn't generate trackable referral sessions in the same way.

Why did Perplexity's traffic fall so much?

The study attributes part of the decline to product changes rather than a pure loss of usage. Monthly sessions fell 61% since March 2025, partly because Perplexity has been keeping users inside its own browser and agent tools instead of sending them to external sites.

Is Claude worth optimising for even though its overall share is small?

Yes, according to the data. Claude grew 64 times over the tracked period and overtook Perplexity in March 2026, showing particular strength among developers, technical buyers and professional services. Its growth rate outpaces every platform except ChatGPT.

What should e-commerce sites prioritise based on this data?

Structured product information appears critical. Product pages are the primary landing surface, traffic is almost entirely from ChatGPT, and users typically arrive with purchase intent already formed. Structured, comparable product data is becoming an AI discoverability requirement, not just a conversion optimisation play.

How big was the underlying dataset?

Previsible analysed 6.77 million AI-driven sessions across 166 websites spanning SaaS, e-commerce, finance, legal, health, insurance, education and publishing, tracked from November 2024 to May 2026.