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io.github.digitaldatadriven/agentaeo-mcp-server

Official registry Marketing and sales

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

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @agentaeo/mcp-server
Claude Code 
claude mcp add agentaeo-mcp-server -- npx -y @agentaeo/mcp-server@0.1.8
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agentaeo-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@agentaeo/mcp-server@0.1.8"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. AgentAEO MCP Server
  2. Install in 2 minutes
  3. What this measures
  4. Why this exists
  5. How AgentAEO differs from other AEO tools
  6. Three workflows to try now
  7. Run a complete AEO audit and fix plan in 30 minutes
  8. Built on the Retrieval Marketing Framework™

AgentAEO MCP Server

Ask Claude: "Why is [competitor] being cited instead of us for [category] queries?" Get the answer. Get the fix.

AgentAEO is a retrieval intelligence layer for AI agents. It tells Claude, Cursor, and any MCP-compatible agent which brands are winning AI citations and exactly why.

Install in 2 minutes

npx @agentaeo/mcp-server@latest

Then in Claude Desktop, ask:

"Run an AI citation audit on [domain.com] for [category] queries. Tell me which competitors are being cited instead and why."

That is it. You now have live selection intelligence inside your AI workflow.

What this measures

AgentAEO runs real buyer queries across ChatGPT, Perplexity, Claude, and Google AI and returns:

  • Citation rates per engine per query
  • Which competitor wins each query
  • Revenue leakage estimate ($/month)
  • Exact structural reasons AI skips you
  • Copy-paste schema fixes

Why this exists

60% of brands investing in SEO are invisible in AI-generated answers despite strong Google rankings.

This is the Selection Gap: AI finds your brand but does not consistently choose it. Competitors enter the consideration set before you do.

AgentAEO measures this gap. Quantifies it in dollars. Generates the fix.

Also known as: Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), AI SEO — AgentAEO measures the citation layer that determines whether AI recommends you or your competitor.

How AgentAEO differs from other AEO tools

CapabilityAgentAEOConductorProfoundAthenaHQseoClarity
Live citation testing across 4 engines✅❌❌❌❌
Revenue-at-risk estimate✅❌❌❌❌
30-day fix blueprint✅❌❌❌❌
Deploy-ready JSON-LD schema✅❌❌Partial❌
llms.txt generation✅❌❌❌❌
Free tier✅❌❌❌❌
One-time diagnostic (no subscription)✅❌❌❌❌
MCP server on Anthropic registry✅✅✅❌✅

Three workflows to try now

1. Competitive intelligence

"Audit stripe.com for payment processing queries. Which fintech brands are being recommended instead of Stripe by ChatGPT and Perplexity?"

2. Own brand monitoring

"Run a citation health check on [your-domain.com] and give me the monthly revenue leakage estimate plus the top 3 fixes."

3. Agency research

"Audit these 5 domains: [list]. Rank them by Retrieval Marketing Score. Which has the biggest citation gap versus its competitors?"

Run a complete AEO audit and fix plan in 30 minutes

With AgentAEO MCP inside Claude Desktop or Claude Cowork, what used to take 30 days of manual AEO work runs in 30 minutes:

Ask Claude:

"Run a complete AEO audit on [domain.com]. Test buyer queries across all 4 engines, identify citation gaps, generate the 30-day fix blueprint, create the JSON-LD schema files, write the llms.txt, and give me a board-level summary of revenue at risk."

Output in one session:

  • Citation grade per engine per query
  • Revenue leakage estimate
  • Prioritised 30-day fix plan
  • Copy-paste JSON-LD (FAQPage, HowTo, Organization)
  • llms.txt file ready to publish
  • Executive summary for stakeholders

Built on the Retrieval Marketing Framework™

The only AEO platform with a working MCP server on the official Anthropic registry. AAA rated on Glama.

→ agentaeo.com
→ retrieval.marketing
→ @agentaeo/mcp-server on npm

Frequently asked questions

What is io.github.digitaldatadriven/agentaeo-mcp-server?

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

How do I install io.github.digitaldatadriven/agentaeo-mcp-server?

It runs on your machine. In Claude Code: claude mcp add agentaeo-mcp-server -- npx -y @agentaeo/mcp-server@0.1.8. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.digitaldatadriven/agentaeo-mcp-server need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.digitaldatadriven/agentaeo-mcp-server open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.digitaldatadriven/agentaeo-mcp-server?

It is published by agentaeo. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.