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GUEST POST · CONTRARIAN Jul 30, 2026 · 5 min read

Stop optimizing for Perplexity. Seriously, look at your numbers

LS Lena Sørensen Growth lead, marketplace · 6:00 AM ET 𝕏 in ✉
Editorial illustration: a large arrow of attention aimed at a very small slice of a circle

This is going to be unpopular with people who have built a practice around it, and it comes with a genuine caveat I will get to. But look at the traffic split before you allocate another quarter of effort: ChatGPT sends roughly ten times the referral traffic Perplexity does, and a great many AEO programmes still split their attention evenly across engines because a dashboard has four columns.

⚡TL;DRChatGPT accounts for roughly 75% of AI referral traffic against Perplexity's 7%. Effort should follow that distribution unless you have a specific reason it does not apply. The caveat is real though: Perplexity is the only engine paying publishers for citations, and traffic share is not the same as influence share.

The split

SE Ranking's analysis of AI referral traffic puts ChatGPT at roughly 75% of referrals sent to websites, with Perplexity around 7%. Other measurements differ on the exact figures, and Similarweb's panel data shows ChatGPT's share of generative AI usage declining as competitors grow, but no credible dataset puts Perplexity anywhere near parity on traffic sent.

Share of AI referral traffic sent to websitesChatGPTabout 75%Perplexityabout 7%Everything elsethe remainderGlobal AI referral traffic shares. Source: SE Ranking, 2026. Figures vary by methodology and are moving.

Meanwhile the two engines want almost opposite things. The cross-engine citation data shows Perplexity leaning heavily on Reddit and community sources while ChatGPT leans on Wikipedia and editorial publishers, and only about 11% of domains are cited by both. Splitting effort evenly across two engines that share a tenth of their source lists is not diversification. It is doing two jobs at half strength.

The caveat, which is real

Three things complicate the simple version. Perplexity is the only major engine currently paying publishers for citations, which matters enormously if you are a publisher rather than a brand. Traffic share is not influence share, and as our zero-click piece argues, referral volume is the least reliable measure in this entire channel. And audience concentration beats market share every time: if your buyers are engineers or analysts who live in Perplexity, the global average is irrelevant to you.

"Splitting effort evenly across two engines that share a tenth of their source lists is not diversification. It is doing two jobs at half strength."

What to do this week

Stop treating the four columns in your dashboard as four equal priorities. Find out which engine your actual buyers use, by asking them, because nobody has ever regretted asking ten customers where they research. Then weight effort to that answer, not to the tool's layout. For most B2C and general B2B, that means ChatGPT gets the majority of the work and the community layer serves Perplexity as a by-product. If you publish, invert it, because the engine paying for citations deserves attention disproportionate to its traffic. What nobody should be doing is splitting evenly by default because the interface implies it.

KEY TAKEAWAYS01ChatGPT sends roughly 75% of AI referral traffic; Perplexity roughly 7%. Effort should not be split evenly by default.02The two engines share only about 11% of cited domains, so evenly split effort buys you two half-strength programmes.03Publishers should invert the advice: Perplexity is the only engine currently paying for citations.04Traffic share is not influence share, and referral volume is the weakest metric in this channel.05Ask ten real buyers which engine they use. Audience concentration beats global market share every time.