How often LLMs mention a domain

You are wiring up the superagnt "SEO" API to use this endpoint: How often LLMs mention a domain.

1. CONNECT over MCP (preferred). No token to paste either way.
   On Claude (claude.ai, the desktop app, or Claude Code signed in with a Claude
   account), the server is a connector: give the user this link, they click Add
   and approve:
     https://claude.ai/customize/connectors/yours?modal=add-custom-connector&connectorName=superagnt&connectorUrl=https%3A%2F%2Fmcp.superagnt.com%2Fmcp&open_in_browser=1
   Any other MCP client (or Claude Code signed in with an API key): add the server
   and let the client run the browser sign-in:
     claude mcp add --scope user --transport http superagnt https://mcp.superagnt.com/mcp
     claude mcp login superagnt
   MCP endpoint: https://mcp.superagnt.com/mcp
   After connecting, the tool you want is named exactly:
     data_seo_ai_visibility
   Call agnt_tools_search or agnt_tools_list_enabled to confirm it is available.

2. REST fallback (if you are not using MCP):
     POST https://api.superagnt.com/ai-visibility
     Header: Authorization: Bearer <YOUR_AGNTDATA_API_KEY>
   Required parameters:
    - (none)
   Optional parameters:
    - targets (array, optional) — Domains to measure LLM mention metrics for, no protocol. Pass at least one of targets or keywords.
    - keywords (array, optional) — Keyword phrases to measure LLM mention metrics for, as an alternative or addition to domains.
    - limit (integer, optional) — Max rows to return. Default 100. Cost scales with rows.

3. COST & KEY. This endpoint is metered — pricing varies by request, from $0.18 per call. Only successful calls are charged.
   Get a superagnt API key at https://app.superagnt.com.

4. TEST. Connect the server (or set the key), discover the tool
   (data_seo_ai_visibility), run one minimal call with just the required parameters,
   and report back the shape of the JSON response (top-level fields).

Reference (machine-readable variant): https://www.superagnt.com/docs/apis/seo/endpoints/ai_visibility.md

{
  "name": "ai_visibility",
  "description": "Returns aggregated metrics on how often large language models mention or cite the target domains or keywords in their answers. Navigation: the data lives at result[0].aggregated_metrics (by platform/location/language) — the items array is often legitimately EMPTY, so do not treat items_count 0 as no data. Priced per request (roughly 40x a search, ~18 cents) regardless of returned rows, so run it for periodic brand tracking, not in loops.",
  "parameters": {
    "type": "object",
    "properties": {
      "targets": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 10,
        "description": "Domains to measure LLM mention metrics for, no protocol. Pass at least one of targets or keywords."
      },
      "keywords": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 10,
        "description": "Keyword phrases to measure LLM mention metrics for, as an alternative or addition to domains."
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 1000,
        "default": 100,
        "description": "Max rows to return. Default 100. Cost scales with rows."
      }
    },
    "required": []
  }
}