There Are Two Kinds of AI Memory
New bjrees.com tracking data shows branded AI visibility holding steady for months while topical visibility decays in 6-7 weeks - confirming the AEO decay-curve hypothesis with real numbers.
Ben Rees - 23 June 2026

Back in November, I proposed a hypothesis: branded AI visibility decays slowly, topical visibility decays fast, and most GEO advice optimises for the wrong one.
Eight weeks of tracking bjrees.com across Google Search and AI Mode (35 capture runs, 13 April - 15 June 2026) backs it up. Branded queries held at 100% → 100%. Topical "Scaling B2B Marketing" queries fell 75% → 46%. AEO-specific queries fell 38% → 17%, and 6 of the 12 non-branded queries behind that number never ranked at all.
The model, the per-query evidence, and the mechanism behind why branded and topical memory behave so differently are all in the infographic below.
↓ There Are Two Kinds of AI Memory (PDF)B2B Marketing Measurement*
An updated marketing measurement framework, now with a layer for AEO and GEO performance built in.
Brand is how you impact GEO
Brand impact has always been hard to measure. Generative engines, which have to synthesise a point of view, finally make it visible.
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.
What a 2019 NLP paper tells us about getting recalled by AI
What a 2019 BERT paper by Petroni et al. reveals about how AI models store and recall facts - and why most brand content is optimised for the wrong thing.
