# io.github.digitaldatadriven/agentaeo-mcp-server

> Use this tool when you need to measure brand visibility across multiple AI platforms, including ChatGPT, Perplexity, Claude, and Google AI. It solves the problem of tracking brand presence and reputation on various AI-powered services, providing valuable insights for businesses and individuals. The tool takes AI platform data as input and outputs a comprehensive audit report, making it ideal for use cases where brand monitoring and reputation management are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-digitaldatadriven-agentaeo-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-digitaldatadriven-agentaeo-mcp-server

## Description

AEO audit tool — measure brand visibility across ChatGPT, Perplexity, Claude, and Google AI.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.digitaldatadriven%2Fagentaeo-mcp-server)
- **Repository:** <https://github.com/agentaeo/agentaeo-mcp-server.git>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-digitaldatadriven-agentaeo-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-digitaldatadriven-agentaeo-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-digitaldatadriven-agentaeo-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt