ChatGPT sends 92% of AI search traffic - what 6.77 million sessions reveal

By Somya Goyal · 19 Jul 2026 · 6 min read

Everyone talks about the AI-search race as if it is close. New traffic data says that, among standalone assistants, it is not. Previsible analysed 6.77 million sessions and found ChatGPT sends the overwhelming majority of trackable AI referral traffic. But the same report carries a caveat that changes the whole picture.

ChatGPT drives ~92% of standalone-LLM referral traffic (Previsible, 6.77M sessions).

When a market looks like a race, you hedge across the runners. When one runner is this far ahead, you prioritise. But the details of this data matter enormously, so let us be precise about what it does and does not say.

Our founder, Somya Goyal, shared her quick take on this data on LinkedIn. This post is the longer companion: what the numbers say, the caveat most coverage skips, and what to actually do about it.

The headline number

Previsible's 2026 State of AI Discovery report, published on 6 July 2026, analysed 6.77 million sessions across 166 GA4 properties from November 2024 to May 2026. Among standalone large language models, ChatGPT accounts for about 92.4% of trackable referral traffic. The rest of the field splits the remaining sliver.

The movement underneath is almost as striking as the top line. Claude grew roughly 64x over the period and overtook Perplexity around March 2026, while Perplexity fell sharply from its peak. So the non-ChatGPT field is real and moving - it is just small.

"Among standalone assistants the race is not close. But the biggest AI surface is not even in the 92%."

The caveat that changes everything

Here is the part that a headline number hides, and Previsible states it plainly: the report excludes Google's AI Overviews, and in-Google AI discovery is likely larger than all standalone LLMs combined. So the 92% is 92% of a slice - the standalone-assistant slice - not 92% of all AI-driven discovery.

That reframes the strategic lesson. If you read "ChatGPT is 92%" and pour everything into ChatGPT, you may be optimising hard for the smaller of two arenas while ignoring the larger one that does not even appear in the chart. The honest picture is: ChatGPT dominates standalone referrals, and Google's AI surfaces quietly dominate the total.

What to actually do

Prioritise ChatGPT among standalone assistants. If you are going to optimise for one chat assistant's referral traffic, the data says start here.
Do not skip Google's AI surfaces. AI Overviews and AI Mode are where the largest share of AI discovery happens, even though they are absent from standalone-LLM referral stats. Being cited there is its own priority.
Assume the mix will shift. Claude's 64x rise and Perplexity's fall in a single period show how fast this moves. A strategy pinned to today's shares ages badly.
Measure your own mix, not the market's. The 92% is an average across 166 sites. Your buyers may skew differently. Track where your citations and referrals actually come from.

The takeaway

Two facts, held together: among standalone assistants, ChatGPT is not just winning but lapping the field - and yet the surface that matters most for total AI discovery, Google's AI answers, is not in that number at all. The takeaway is not "go all-in on ChatGPT." It is "prioritise ChatGPT, respect Google's AI surfaces, and measure your own reality rather than the headline."

Know where your AI traffic really comes from

Market averages do not tell you about your brand. Stellarcast tracks whether you are named and cited across ChatGPT, Claude, Perplexity, Gemini and Google's AI surfaces, so you know which engines actually send you traffic. Request a free audit and see your real mix.

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Frequently asked questions

Which AI tool sends the most referral traffic?

ChatGPT, by a wide margin. Previsible's July 2026 State of AI Discovery report, based on 6.77 million sessions across 166 GA4 properties, found ChatGPT accounts for about 92.4% of trackable referral traffic from standalone large language models. No other assistant is close: Claude grew roughly 64x and overtook Perplexity around March 2026, but both remain a small fraction of ChatGPT's share.

Does that mean I should only optimise for ChatGPT?

No, for two reasons. First, the same report is explicit that it excludes Google's AI Overviews, and in-Google AI discovery is likely larger than all standalone LLMs combined - so the biggest AI surface is not even in that 92%. Second, referral share shifts fast: Perplexity fell sharply from its peak while Claude surged. Optimising for one engine's referral traffic today is fragile.

What is the practical takeaway?

Treat ChatGPT as the priority standalone assistant for referral traffic, but do not ignore Google's AI surfaces (where most AI discovery actually happens) or the other engines your specific buyers use. Measure where your citations and referrals actually come from, per engine, rather than assuming the market average applies to you.