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Peec AI

Read and manage AI-visibility data on Peec AI via the MCP API

Actions31

Search Query → Get Many

AI-generated

Summary

Lists fanout search queries generated by AI engines from tracked prompts in a Peec AI project, within an inclusive date range. Results can be paginated and filtered by model channel.

Inputs

  • Project (required) — Select a project from the list or provide its ID.
  • Start Date (required) — Inclusive start of the date range, in YYYY-MM-DD format.
  • End Date (required) — Inclusive end of the date range, in YYYY-MM-DD format.
  • Limit — Maximum number of results to return (default 50; range 1–1000).
  • Offset — Number of results to skip (default 0; minimum 0).
  • Model Channel — Optionally filter by an AI engine channel; the default selects any channel.

Output shape

A list of items, with each result row returned as an item.

The operation calls Peec AI's list_search_queries tool. Returned rows are mapped from the response's columns and rows; if the response is not tabular, it is returned as a single item.

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