MCPOutils MCP/AEO
AEO
Rapports d'optimisation pour les moteurs de réponse IA.
- Readget_aeo_reportAI answer-engine visibility report for a SINGLE location — how visible the business is across AI assistants (ChatGPT, Gemini, Perplexity). Requires locationId. Returns: generatedAt; configuredEngines (engines with an API key); the overall visibility score (0–100) + per-engine scores; the keyword map (prompts where each engine surfaces the business, with a % hit-rate bubble per prompt); the prompt × engine matrix (per cell: score, whether you were mentioned, your rank, and the verbatim answer excerpt); a competitor gap table; the ranking-gap distribution (share of answers where you rank 1–3 / 4–10 / 11+, per engine + All); the optimization-insight radar (Relevance / Reviews / Engagement / Freshness / Citations, per engine); citations coverage (sources AI engines cite, each active/detected/missing, per engine); and sentiment mentions. Pass `prompt` to drill into ONE row of the matrix — you get that prompt's cells plus the headline scores and nothing else, which is what you want when the caller clicked a single cell. Backs the AEO single-location page.
- Readget_aeo_rollupAI-visibility roll-up across a client's (or the whole agency's) locations — the AEO 'all locations' table. Optional clientId scopes to one client; omit for agency-wide. Optional tags narrows to locations carrying ANY of the given internal tags (discover them with list_location_tags). Returns rows (per location: name, city, tags, overall AI-visibility score 0–100, per-engine ChatGPT/Gemini/Perplexity scores, latest report generatedAt + yearMonth; null score = no report generated yet) plus configuredEngines. Backs the AEO all-locations rollup.