Whitepaper on How to Optimise for AEO and GEO
Results from a two-month experiment testing what actually affects AI answers across ChatGPT, Gemini, Perplexity, Copilot and Google.
Ben Rees - 21 January 2026
Below are the details of 2-month experiment I undertook, to understand what affects AI answers in ChatGPT, Gemini, Perplexity, Copilot and Google.
↓ Why GEO Matters More Than SEOA Weighted Sum of Everything Ever Written About You
What Bayesian linear regression, copied by hand from a textbook I've owned since January 2007, tells us about getting cited by AI.
Making decisions in a Bayesian world
Most marketing decisions can't be A/B tested. Bayesian logic, combining prior knowledge with whatever data you do have, fills the gap.
Your brand doesn't get its own space inside an AI model
Language models pack far more concepts than they have space for, a phenomenon called superposition. Generic content competes for that same overcrowded space as everyone else's, and usually loses.
I am invisible on every AI platform. Here is the data.
For ten weeks I ran an AI visibility measurement system across ChatGPT, Gemini, Copilot, and Perplexity. My appearance rate for non-branded queries is zero. Here is what the data actually shows.