# agentaeo-mcp-server [Health: Active]

**Category:** 🎯 Marketing  
**Repository:** https://github.com/agentaeo/agentaeo-mcp-server.git  
**GitHub Stars:** 0  
**npm Downloads (last month):** 1146  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/agentaeo-mcp-server

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

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "agentaeo-mcp-server": {
    "command": "npx",
    "args": ["-y","@agentaeo/mcp-server@latest"]
  }
}
```

## Documentation

## What agentaeo-mcp-server MCP server does

The agentaeo-mcp-server MCP server evaluates how often a brand appears in AI-generated answers for buyer-oriented queries. It tests queries across ChatGPT, Perplexity, Claude, and Google AI, then organizes the results by engine and query.

The output is intended to show the gap between being discoverable and being selected. Reports can identify which competitor is cited instead, estimate potential monthly revenue leakage, and explain structural reasons an AI system may skip the audited brand. The server also generates suggested remediation material, including a prioritized 30-day plan, JSON-LD schema, and an llms.txt file.

## How it works

Provide a domain and a category or set of buyer queries through an MCP-compatible agent. The server runs live queries against the supported AI engines and returns citation results for each query. Results include an engine-specific citation grade or rate, the competitor that wins a query, and an explanation of the observed citation gap.

The returned information supports several workflows. A company can check its own citation health, compare multiple domains, or investigate why another brand is recommended for a particular category. Agencies can use the results to rank domains by Retrieval Marketing Score and identify accounts with larger gaps.

## Setup and configuration

Run the package with:

```bash
npx @agentaeo/mcp-server@latest
```

The agentaeo-mcp-server MCP server is also described as usable with Cursor and other MCP-compatible agents.

## Tools and capabilities

The agentaeo-mcp-server MCP server supports these documented outputs and workflows:

- Test buyer queries across ChatGPT, Perplexity, Claude, and Google AI.
- Report citation rates for each engine and query.
- Identify which competitor is cited instead of the audited brand.
- Estimate monthly revenue leakage associated with citation gaps.
- Explain structural reasons a brand is not selected.
- Produce a prioritized 30-day remediation blueprint.
- Generate copy-ready JSON-LD for FAQPage, HowTo, and Organization content.
- Generate an llms.txt file for publication.
- Create an executive-level summary of revenue at risk.
- Compare several domains and rank them by Retrieval Marketing Score.

The generated material is positioned as implementation input rather than as a replacement for reviewing the underlying query results. For example, a team can use the reported competitor differences to decide which schema or content changes to investigate first.

The repository identifies the package as MIT licensed and publishes it as `@agentaeo/mcp-server` on npm.

_Full upstream README: https://allmcps.com/mcp/agentaeo-mcp-server/readme_