scan_competitor_ai_presence

Active

declared in 0.1.0

Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

Parameters schema

{
  "type": "object",
  "required": [
    "entities"
  ],
  "properties": {
    "models": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Which models to probe. Supported: \"workers-ai\" (free default), \"anthropic\" (requires _apiKey). Omit for just workers-ai."
    },
    "_apiKey": {
      "type": "string",
      "description": "Optional Anthropic API key — only if \"anthropic\" is in models. Passed to api.anthropic.com per probe."
    },
    "context": {
      "type": "string",
      "description": "Optional shared context applied to every probe (e.g. \"B2B SaaS\", \"Boston restaurant\"). Disambiguates common names."
    },
    "entities": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of 2-8 entities to compare (brand/business/product names). First entry treated as the \"subject\" for narrative; rest are competitors."
    }
  }
}

What this tool wraps· 1 endpoint

min confidence0.70 0.50

Data resourceAirtable API
Airtable · productivity
name mention0.80

Parent server

Airtable

https://github.com/pipeworx-io/mcp-airtable

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