Perplexity AI Visibility Monitoring
GeoScript monitors how Perplexity responds to business queries and — uniquely — captures the structured citations Perplexity natively reports, giving you the highest-signal citation intelligence of any monitored engine.
How GeoScript observes this engine
- →GeoScript uses the Perplexity Agent API (api.perplexity.ai/v1/responses) — the current production API as of September 2026 after Perplexity deprecated its Sonar /chat/completions endpoint.
- →Each call reaches the live Perplexity endpoint with real credentials. GeoScript passes a prompt and collects the full structured response including the answer and source list.
- →The raw HTTP response body is preserved before parsing. Perplexity's Agent API returns a typed output array containing both a search_results item (sources) and a message item (answer text).
- →GeoScript extracts citations from the native search_results output items first, then from message-level annotation objects. This gives structured, provider-ordered citation data.
- →Provider-reported dollar cost is recorded directly from usage.cost.total_cost — Perplexity is the only monitored engine that returns authoritative cost in its response.
- →Retries occur only on server-directed 429 or 5xx responses. The adapter also checks the Agent API's own status field — only 'completed' is treated as a successful observation.
Signals available
- →Business mention detection — whether your business appears in Perplexity's answer.
- →Recommendation rate — proportion of prompts where your business is mentioned or recommended.
- →Native citations — Perplexity's structured source list (provider-ordered URLs and titles), preserved exactly as returned. This is the highest-fidelity citation signal available across all monitored engines.
- →Citation gap analysis — when your business appears in the answer but is absent from the cited sources, or vice versa.
- →Response text — the verbatim answer returned by Perplexity per observation.
- →Historical tracking — results accumulate to show citation and mention patterns over time.
- →Observation metadata — prompt, engine, model, latency, provider-reported cost, and timestamp.
What GeoScript does not measure
Explicit limitations (§127)
- ✕GeoScript cannot observe how users interact with Perplexity's interface after a response is returned — no click data, dwell time, or follow-up behavior.
- ✕GeoScript does not have access to Perplexity's internal ranking signals, web index, or model parameters.
- ✕GeoScript observes API responses — not user-session replays. Perplexity's live product may show different UI elements, ads, or related questions that the API does not expose.
- ✕Observation results reflect a point in time. GeoScript cannot predict or guarantee future responses or citation inclusion.
- ✕GeoScript does not measure Perplexity's advertising or sponsored placement surfaces.
Related
Other AI engines
GeoScript monitors how ChatGPT responds to commercial, local, and comparison queries that affect your business — tracking mentions, recommendation rate, and response text across prompt categories.
GeoScript monitors how Claude responds to business and commercial queries, tracking mentions, recommendation rate, and response content across your prompt universe.
Gemini integration is in development. The adapter is written and includes support for grounding metadata — structured citation sources Google returns when search grounding is active. Live production monitoring is not yet available.
Google AI Overviews appear in Google Search results as AI-generated summaries. GeoScript is developing integration to monitor when businesses appear in these summaries. Live monitoring is not yet available.
Microsoft Copilot integration is in development. GeoScript plans to monitor how Copilot responds to commercial and local business queries. Live monitoring is not yet available.