Field notes on AI visibility
Research, methodology and how-tos for measuring brand visibility across AI engines.
Does LLMs.txt improve AI search visibility?
Original research across 1,500+ brand websites: what LLMs.txt files tell us about AI recommendations, answer position and sentiment, and what they cannot prove.
Cloudflare separates AI search, training and agents. What brands need to know
Cloudflare has replaced its blunt AI bot controls with separate settings for search, training and agents. Here is what the change means for search visibility, AI citations and crawler strategy.
Welcome to Citations.io — measuring AI visibility, not rank
Why we built Citations.io and how sampled answers + citation evidence replace traditional rank tracking in the age of generative search.
AEO vs GEO vs SEO — what actually changes in 2026
A plain-English breakdown of Answer Engine Optimization, Generative Engine Optimization and traditional SEO — and which tactics still apply.
How to pick the right prompts to track
A practical framework for choosing a tracked prompt set that reflects how real buyers ask AI engines about your category.
Reading the Citation Influence Score
Why one source moves your AI visibility more than another, and how to use the Citation Influence Score to prioritise outreach.
Local AI visibility — why your national score isn't enough
For multi-location brands and local services, a single national AI visibility score hides the answers that matter. Here's how to split it.
Why we sample real answers (and don't model them)
There's no public API for "what did ChatGPT say last Tuesday". Here's why Citations.io samples real answers instead of modelling visibility scores.
Run your own AI visibility scan.
$5, 5-day trial. 1 brand, 5 prompts, 100 analysed answers across ChatGPT, Perplexity, Gemini and Claude.
