CiteTrail field notes
Measuring what AI says about you.
Methods, research and practical guidance for teams that need to understand AI visibility without pretending a volatile answer is a permanent fact.
How to measure whether ChatGPT and other AI platforms recommend your brand
One AI answer is an anecdote. The method that turns it into a measurement: repeated sampling, confidence scoring, and knowing which surface you queried.
- Agency Operations
- Citations and Sources
- AI Visibility
- Competitor Intelligence
- GEO and AEO
- AI Search Measurement
Reporting AI visibility to clients without overclaiming
AI visibility numbers move on their own, without your agency doing anything. Reporting them to a client the way you'd report rank tracking sets up a conversation you can't win.
FAQ schema and AI citations: what actually helps you get quoted
FAQPage structured data doesn't buy a citation, but it removes a real barrier: it hands an engine the exact question and answer instead of asking it to guess which paragraph is the answer.
Can AI actually read your site? What robots.txt and llms.txt control
An AI assistant can only cite what it can fetch. A rule in robots.txt that predates GPTBot can quietly take you out of every grounded answer — here's how to check, and what llms.txt does and doesn't do.
Why competitors appear in AI answers — and how to investigate the gap
A competitor showing up where you don't is the start of an investigation, not a finding. How to test whether the gap is real, contested, and worth attacking.
AI visibility vs traditional SEO: what marketing teams need to track
AI visibility is not rank tracking with new logos. The unit changed from an observable position to an estimated rate — and that changes your reporting.
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