Observed-answer denominatorNot collected
Only saved observations with a buyer question and observation date enter visibility rates.
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A source-backed view of where the brand appears, who appears instead, what changed, and what to do next.
Add observed answers to move from readiness signals to citation intelligence.
No valid observed answer exists yet. Run or record a measurement before drawing a visibility conclusion.
Only saved observations with a buyer question and observation date enter visibility rates.
Provider citations or explicitly submitted links are separated from non-grounded model responses.
A repeat must match question, provider, market, location and language on a later date.
Failed, empty, truncated or provenance-incomplete attempts remain visible here but never become negative observations.
No observed answers match this view. No outcome distribution is inferred.
Run a measurement →Every answer belongs to exactly one outcome. Percentages use the selected answers—not a market estimate—as the denominator.
No observations match this view.
Bars show answer presence using the same selected-answer denominator. Multiple brands can appear in one answer, so percentages do not sum to 100%.
No linked sources have been observed yet.
Analyze an answer →Market is the requested or recorded buyer context—not proof of a consumer’s physical location. Citation movement only compares the exact same question, AI surface, market, local scope and answer language on different dates. Logos identify observed surfaces; they do not imply endorsement.
observed answers establish the baseline
0 ready to recheck · 0 completed
0 gains · 0 losses in comparable observations
No crawl-based baseline exists yet. Audit the pages that should earn citations first.
The prompt matrix is planning data until real answers are saved with platform, market and date.
Add high-intent questions by market and language, then collect comparable observations over time.