How ChatGPT Finds Websites
Use the pillar guide for the broad framework, then use the supporting articles below for narrower questions and implementation details.
Guides for measuring brand mentions, recommendations, citations and visibility changes in ChatGPT without treating a single conversation as a reliable market benchmark.
Use the pillar guide for the broad framework, then use the supporting articles below for narrower questions and implementation details.
Monitor ChatGPT visibility changes by versioning the prompt panel, keeping raw answer evidence and separating real comparison periods from changes to the measurement setup.
Track ChatGPT citations by storing returned source URLs with the exact prompt and answer, normalizing domains and comparing source patterns across repeated runs.
There is no public formula that lets a marketer predict which brands ChatGPT will recommend. What can be measured are eligibility, retrieved evidence, answer context and repeated recommendation patterns.
Track ChatGPT brand mentions with a controlled prompt panel, clear mention rules and retained answer evidence. The method is more reliable than manually checking a few conversations.
To test whether ChatGPT recommends your brand, use a fixed panel of realistic buyer questions, record the exact answers and repeat the same panel over time instead of relying on one hand-picked conversation.
A practical guide to how websites become eligible for ChatGPT search, what OAI-SearchBot does, how crawler access differs from ranking, and what publishers should verify.