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Which AI Engines Send the Most Referral Traffic?

ChatGPT dominates AI referral traffic — SearchEngineLand found it drives roughly 87–92% of all AI referral sessions, while Perplexity sits near 2.8% and Claude has grown fast enough to overtake it. Here's who actually sends clicks so you can prioritize.

BBurke Atkerson2 min read

ChatGPT sends the overwhelming majority of AI referral traffic — every other engine is a rounding error by comparison. If you are deciding where to invest your AEO effort, the traffic data points hard in one direction while a few challengers grow fast behind it.

Quick answer

ChatGPT drives the vast majority of AI referral clicks — ~87–92% of all AI referral traffic in SearchEngineLand's data. Perplexity sits near ~2.8%, and Claude has grown ~64x to overtake Perplexity. Prioritize the engine your audience uses, but expect ChatGPT to carry the volume.

Which AI engine sends the most referral traffic?

ChatGPT sends the most, and it is not close. SearchEngineLand's referral session data found ChatGPT drives roughly 87–92% of all AI referral traffic, leaving every other engine to split what remains. For most sites, this means the single highest-leverage move is being citable in ChatGPT — see how to get cited by ChatGPT.

Approximate share of AI referral traffic by engine (SearchEngineLand / Trakkr; ChatGPT ~87–92%, others approximate)
ChatGPT~90%
Perplexity~2.8%
Claudegrowing
Geminismall
Copilotsmall

Where does Perplexity fit?

Perplexity sends far less volume than its reputation suggests — roughly 2.8% of AI referral traffic in the same data. It cites many sources per answer, so it offers a lot of citation slots, but each one drives comparatively few clicks. Its traffic is high-intent and worth capturing; just don't mistake citation frequency for click volume. More on earning those citations: get mentioned by Perplexity.

Is Claude worth tracking yet?

Yes — Claude is the fastest riser. Trakkr tracked Claude referral sessions growing roughly 64x, from about 133 in November 2024 to about 8,528 by May 2026, and Claude overtook Perplexity in referral volume around March 2026. It is still small next to ChatGPT, but the trajectory means it belongs on your dashboard now, not later. Gemini and Copilot follow a similar pattern: small today, growing steadily.

What should you do with this?

Prioritize by where your audience actually is, measured per engine rather than as a blended "AI traffic" number. ChatGPT carries the volume, so it is the safe first bet, but a research-heavy B2B audience may skew toward Perplexity or Claude. Set up AI-citation tracking so you see your own split, then read why AI gives different answers to understand why winning one engine doesn't win them all.

Does AI-referred traffic convert better than Google organic?

Yes — AI referrals arrive pre-qualified and convert several times better despite lower volume.

Read the full answer →
How do I track AI citations?

Run a fixed prompt set across engines on a schedule and log who gets named and linked.

Read the full answer →
What is share of voice in AI search?

The percentage of relevant AI answers in which your brand appears versus competitors.

Read the full answer →

Frequently asked questions

Which AI engine sends the most referral traffic?
ChatGPT, by a wide margin. SearchEngineLand's referral data puts it at roughly 87–92% of all AI referral sessions, dwarfing every other engine combined. If you can only optimize for one engine's clicks, ChatGPT is where the volume is today.
How much traffic does Perplexity send compared to ChatGPT?
Far less. Perplexity accounts for roughly 2.8% of AI referral traffic in the same measurements — a small fraction of ChatGPT's share, even though it cites more sources per answer. Its clicks are high-intent but low in raw volume.
Is Claude sending meaningful referral traffic yet?
It is growing extremely fast. Trakkr tracked Claude referral sessions rising about 64x — from roughly 133 sessions in November 2024 to about 8,528 by May 2026 — and Claude overtook Perplexity in referral volume around March 2026. It is still small next to ChatGPT but no longer negligible.

Related reading

AI answers describe and recommend your brand with no editorial review, so they can be outdated, wrong, or hallucinated. Manage it by monitoring what engines say across a prompt set, then correcting your source of truth, your entity, and your corroborating sources.

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Yes, partially — you can see referral traffic from AI engines in Google Analytics by filtering for their referrer domains, but it undercounts, because many AI answers cite you without sending a click and some referrers are misattributed. Use analytics for the visits, and a prompt set for the citations it can't see.

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Check AI citations on a regular cadence matched to how fast your space moves — weekly or biweekly for most, daily only for fast-moving or high-stakes topics. The point is consistency over frequency, because citations fluctuate, so a steady schedule reveals the trend that any single check would miss.

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