AEO/GEO by VibeSEO

Track brand visibility in ChatGPT, Gemini and Google AI answers: competitors, cited sources, checks.

What does this entry provide?

AEO/GEO by VibeSEO is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding AEO/GEO by VibeSEO to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 73/100
Install method: streamable-http
Repo: sultanlive/vibeseo-geo-mcp
Repo updated: Sep 24, 2026

Install command

mcp add dev.vibeseo/geo https://geo-mcp.vibeseo.dev/mcp

Install method: streamable-http

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 24, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-09-24T09:33:39.97788Z",
      "publishedAt": "2026-09-24T09:33:39.97788Z",
      "statusChangedAt": "2026-09-24T09:33:39.97788Z"
    }
  },
  "server": {
    "name": "dev.vibeseo/geo",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "com.github": {
          "tags": [
            "geo",
            "aeo",
            "ai-search",
            "ai-visibility",
            "brand-monitoring",
            "share-of-voice",
            "llm-seo",
            "chatgpt",
            "gemini"
          ],
          "categories": [
            "Marketing",
            "Analytics",
            "SEO"
          ],
          "serverDisplayName": "AEO/GEO by VibeSEO"
        }
      }
    },
    "icons": [
      {
        "src": "https://vibeseo.dev/brand/vibeseo-icon.svg",
        "sizes": [
          "any"
        ],
        "mimeType": "image/svg+xml"
      }
    ],
    "title": "AEO/GEO by VibeSEO",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://geo-mcp.vibeseo.dev/mcp",
        "type": "streamable-http"
      }
    ],
    "version": "0.1.0",
    "repository": {
      "url": "https://github.com/sultanlive/vibeseo-geo-mcp",
      "source": "github"
    },
    "websiteUrl": "https://vibeseo.dev/geo-mcp",
    "description": "Track brand visibility in ChatGPT, Gemini and Google AI answers: competitors, cited sources, checks."
  }
}

Report an issue with this listing