Verify comparable endpoints.
Confirm both sides use the same target, provider, location, language, and operation. Otherwise the calculated difference may describe changed inputs rather than changed evidence.
AI visibility delta · change evidence
Delta exposes returned change evidence between comparable points for the selected target context. Use it to locate what changed, then investigate separately; it is not attribution, an alert, or a universal visibility score.
Direct answer
Delta exposes returned change evidence between comparable points for the selected target context. Use it to locate what changed, then investigate separately; it is not attribution, an alert, or a universal visibility score.
Keep the selected provider, target, operation, locale, and returned fields attached to every interpretation.
Supported workflow
Confirm both sides use the same target, provider, location, language, and operation. Otherwise the calculated difference may describe changed inputs rather than changed evidence.
A positive or negative delta needs its underlying returned fields and baseline. A large percentage over a small baseline can be misleading without the original values.
Use source, page, brand, or New & Lost evidence to narrow the changed records. Do not infer a cause from the delta alone.
Record the provider, target, operation, location, language, and returned fields. The result is bounded evidence—not a guarantee, attribution model, exhaustive index, or automatic optimization outcome.
Related evidence
Return to the AI visibility hub for the supported LLM Mentions workflow.
Review the wider time series.
Inspect which returned mentions changed state.
Questions
No. It identifies returned change evidence; attribution is a separate analysis.
No alerting or continuous-monitoring claim is made.