Research library
Evidence for a changing discovery layer.
Field guides, protocols, studies, and method notes on how AI systems find, cite, and recommend the world.
Methods, limits, and status travel with the work.
Field map
AI search, GEO, AEO and LLMO: a field guide to the terms
A plain-English map of AI search, GEO, AEO, LLMO, AI SEO, and AI visibility—and where each term is useful.
Answer variability
The AI Answer Variability Study
A null-condition study designed to measure how much AI answers move when the world being measured has not deliberately changed.
Measurement
Why one AI visibility score is not enough
A useful AI visibility measurement needs its evidence, sample, method, and uncertainty—not just a number that went up.
The standard
Every claim should know what kind of claim it is.
York Studio labels observation, inference, and attribution separately; preserves the method behind the result; and publishes limitations and corrections as part of the work.
Read the methodologyNew work, when it matters
Follow the research.
The York Studio Briefing covers new studies, material system changes, and practical implications.
Join the briefing