list_geo_audit_competitors

list_geo_audit_competitors MCP tool: competitor candidates extracted from a GEO Audit's scans, ranked by mention count, plus the current selection.

Updated 2026-07-23

list_geo_audit_competitors returns the competitor candidates of a GEO Audit, extracted from its scan results and ranked by mention count, plus the names already frozen as the selection. This is the list the agency curates while the audit sits in REVIEWING (the competitor-selection step). It is the read half of the pair completed by select_geo_audit_competitors.

When to use

When a GEO Audit reaches REVIEWING, call this tool to see which competitors the LLMs surfaced for the prospect. Pick the relevant ones, then pass their names to select_geo_audit_competitors to unblock insight generation. Useful for agencies automating audits at volume so the review step does not become a manual bottleneck.

Input

Field Type Default Description
auditId string (CUID) The GEO Audit id returned by list_geo_audits. Returns audit_not_found if it does not belong to your workspace.
limit integer (1-200) 50 Max candidates to return on this page. Candidates are sorted by descending mention count, so the first page already holds the strongest ones.
cursor string Opaque cursor from a previous page's pageInfo.nextCursor to fetch the next page.

GEO Audits are workspace-scoped, so this tool takes no projectId. A single audit can surface hundreds of raw candidates (mostly a single-mention long tail), so the list is paginated.

Response

{
  "success": true,
  "auditId": "clx_audit_42",
  "status": "REVIEWING",
  "reviewable": true,
  "selectedCompetitors": [],
  "suggestedCompetitors": [
    { "name": "Acme", "count": 7, "context": "Acme is a popular option for...", "url": "https://acme.com" },
    { "name": "Globex", "count": 4, "context": null, "url": null }
  ],
  "pageInfo": { "hasMore": true, "nextCursor": "50", "totalCount": 1413 }
}

Field notes:

  • suggestedCompetitors is aggregated from every scan result of the audit. count is the number of LLM responses that mentioned the competitor; context is the first mention sentence seen (for disambiguation); url is the first cited URL, when any.
  • pageInfo paginates the candidate list: totalCount is the full number of distinct candidates, hasMore / nextCursor page through them. Pass nextCursor back as cursor for the next page.
  • reviewable is true only when status is REVIEWING — the single status where a selection can be submitted.
  • selectedCompetitors reflects what is already frozen (empty until selection is submitted).

Not found

{ "success": false, "error": "audit_not_found", "message": "No GEO audit with this id exists in your workspace. Verify the auditId returned by list_geo_audits." }

Tips and patterns

  • Branch on reviewable. If it is false, do not call select_geo_audit_competitors — the audit is not waiting on a selection.
  • Rank, then pick. suggestedCompetitors is pre-sorted by count; the top entries are the strongest candidates. The first page (default 50) is almost always enough to curate; deeper pages are the single-mention long tail.
  • Pair with get_geo_audit to read the audit's status lifecycle and, once COMPLETED, its recommendations.

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