AI search monitoring
Monitor AI answers across supported surfaces, compare competitors, inspect citations, and turn losing buyer questions into re-measurable work.
Explore pageTrack the questions where your brand appears, makes the shortlist, or loses to a competitor—without pretending an API response is identical to the ChatGPT consumer experience.
Get a snapshotFor a team with these requirements, I would compare Northstar, Acme and Orbit.
For each buyer question: did your brand appear, was it treated as a viable option, was it explicitly recommended, which competitors qualified, and which sources were cited?
ChatGPT consumer experiences and OpenAI API/search surfaces can differ. Model versions, tools, region, product UI and personalization can all affect the result. A credible report names the measured surface instead of generalizing it to every ChatGPT user.
Start from the answer and evidence. If a competitor is supported by clearer public documentation for a requirement you genuinely meet, that can become an evidence gap to investigate. Ship the accurate change, record it, and re-measure.
No. The provider strategy uses server-side production API credentials for supported measurement surfaces.
No. AI answers are variable; repeated samples and a fixed question set are needed for a more useful baseline.
Request a recommendation snapshot built around your company and likely buyer questions.