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MCP server · Science

io.github.digitaldatadriven/agentaeo-mcp-server

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

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Scored 6 months ago · breakdown

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

io.github.digitaldatadriven/agentaeo-mcp-server is an MCP server in the Science category: aEO audit tool — measure brand visibility across ChatGPT, Perplexity, Claude, and Google AI.

Install

Claude Code
claude mcp add io-github-digitaldatadriven-agentaeo-mcp-server -- npx -y @agentaeo/mcp-server
npx
npx -y @agentaeo/mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

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.

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?"

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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

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

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

Run claude mcp add io-github-digitaldatadriven-agentaeo-mcp-server -- npx -y @agentaeo/mcp-server, then add the server to your MCP client's configuration.

Is io.github.digitaldatadriven/agentaeo-mcp-server safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.digitaldatadriven/agentaeo-mcp-server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.