Colleagues at a sunlit whiteboard
Resources
Field notes on GEO
Plain-language writing on how AI engines choose what to say, how to measure it honestly — and how we move it for brands. Short, practical, and free to read.
In this collection
The shortlist moved upstream — into the AI answer
Buyers still discover, shortlist and decide. What changed is the common information entry: they ask an AI first.
ReadRetrieved, Cited, Recommended — three layers, not one score
Why Besaid refuses to collapse AI visibility into a single number.
ReadWhat GEO actually is — a plain-language primer
Generative Engine Optimization, explained without the acronyms getting in the way.
ReadHow to read an AI-visibility report without fooling yourself
The three questions to ask of any visibility number before you believe it.
ReadWhy AI engines tell different stories about the same brand
The same brand, the same question, two engines — and two different answers. Here is why.
ReadWhy sample size is the number that matters most
A visibility figure is only as trustworthy as the n behind it. A short, practical explainer.
ReadWant AI recommending your education brand?
Start with a free diagnostic — see exactly what AI says about you today.

