Measure How Your Brand Appears in AI Search
John Greer Repeated AI searches can produce a large collection of answers, screenshots and product names. The challenge is turning those observations into measurements that mean something. In my ten-run Google AI Mode experiment, I submitted exactly the same project-management software query ten times. Each response contained a three-product shortlist. Across the ten runs: This article uses … Read more
One AI Mode response contained three recommended products but 24 different linked pages. This experiment examines the difference between being recommended, mentioned, cited or used only as contextual support.
A practical guide to running repeatable manual AI visibility tests, from setting consistent conditions and recording results to establishing a baseline and monitoring how visibility changes over time.
I tested three versions of the same Google AI Mode search to see how customer context and practical requirements changed the products recommended. The results show why choosing commercially meaningful prompts is essential for useful AI visibility monitoring.
I ran the same product search through Google AI Mode ten times to see whether its recommendations remained consistent. Six different products appeared, four occupied first place, and only one was recommended every time.