AI search evidence · LLM Mentions
Gavix LLM Mentions is an AI search monitoring evidence workflow for choosing an operation, inspecting what it returns, and following focused guides for providers, metrics, sources, comparisons, brand evidence, and change analysis.
Direct answer
Choose the supported provider and operation that fit the evidence question, inspect returned mention context where the contract provides it, then use a focused guide for interpretation. Observable evidence is distinct from tracking, optimization, rankings, and attribution.
Use the provider selection and operation that fit the question, then keep the returned context attached to the conclusion.
Evidence workflow
Start with the provider, target, and operation that answer a specific evidence question. AI visibility is not a universal score: returned mention and search context are observable evidence, not tracking, optimization, ranking, or attribution.
The authenticated product includes Mentions, target metrics, multi-target Compare, Top Pages, Top Domains, Top Brands, Top Brand Categories, Historical, Delta, and New & Lost operations.
Where the operation contract supplies them, returned records can include provider or model context, AI Search Volume, sources, search results, and brands.
Use target metrics for a bounded baseline, Compare for several selected targets, source or brand views for returned context, and Historical, Delta, or New & Lost only when the question is explicitly time-oriented.
Explore the route family
Inspect returned evidence in a selected provider and operation context.
Interpret returned mentions and AI Search Volume in context.
Inspect returned target-metric Overview evidence.
Inspect returned brand and mention fields where supplied.
Read returned sources and search results in context.
Compare selected targets without a competitor verdict.
Inspect returned historical evidence in context.
Inspect returned change evidence without attribution claims.
Inspect returned mention-change evidence in context.
Interpret returned AI Search Volume in its operation context.
Inspect the supported Google AI Overview selection and target-metric evidence.
Understand the supported ChatGPT selection and its locale constraint.
See how returned sources and search results fit the evidence workflow.
Compare the terms without claiming automatic optimization.
Compare targets and inspect returned brand, top-result, and historical mention evidence.
Learn how synthesized answer experiences differ from result lists and inspect bounded returned evidence.
Read the educational technical guidance without inferring product coverage or ranking outcomes.
Questions
No. LLM Mentions helps inspect returned evidence; it does not guarantee mentions, rankings, or optimization outcomes.
The authenticated LLM Mentions workflow supports Google AI Overview and ChatGPT selections. The ChatGPT selection is limited to United States and English.
Inspect a real question
Start with the supported workflow and review the evidence it returns.
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