FROM THE EDITOR
Why AI Visibility Journal exists
AI systems now introduce brands to millions of people. Almost no one can say, with evidence, how they decide what to say. We intend to find out, and to show our work.
Independent research on how AI sees brands
Crawling & controls News
Microsoft will let publishers set AI training and AI grounding preferences separately. Sites relying on NoArchive or NoCache must act by March 1, 2027, to keep their restrictions.
Crawling & controls
1 shared robots.txt token for AI training preferences across providers
Research
8% of near-me businesses shared between two US cities in the preprint
AI search
185.6M average monthly active recipients of ChatGPT search in the EU (DSA)
AI search
Preview Connected Apps Platform for Search and the Gemini app
Ads
10 countries added to ads in AI Mode; multiturn ads in the US
Crawling & controls
Directory AI crawler tokens, purposes and robots.txt rules
FROM THE EDITOR
AI systems now introduce brands to millions of people. Almost no one can say, with evidence, how they decide what to say. We intend to find out, and to show our work.
How AI search works, and what to do about it.
How AI systems retrieve, select and cite information.
How to measure AI visibility without fooling yourself.
Evidence-based ways to earn accurate visibility.
Crawlers, structured data and the plumbing AI systems rely on.
Budgets, attribution, risk, regulation and responsibility.
How AI visibility differs across the US, UK, EU and Australia.
About AVJ. AI Visibility Journal is an editorially independent publication researching how AI systems find, describe and cite brands. We publish original research with open methods and data, and we never sell rankings or coverage. More about us →