
Agentaeo Mcp Server
- Updated May 5, 2026
- agentaeo/agentaeo-mcp-server
AgentAEO MCP Server is a MCP server that audits your brand visibility across ChatGPT, Perplexity, Claude, and Google AI.
About
AgentAEO MCP Server is a stdio Model Context Protocol integration that runs answer-engine optimization audits so you can see whether your brand shows up when buyers ask ChatGPT, Perplexity, Claude, or Google AI. founders often optimize landing pages for Google while ignoring the citations and mentions that shape AI-generated recommendations. Wiring @agentaeo/mcp-server into Claude Code or Cursor lets you pull AEO measurements into the same session where you iterate copy, positioning, and launch assets. Version 0.1.8 ships via npm with a published MCP schema, which keeps setup familiar for JavaScript-heavy stacks. Treat results as a launch feedback loop: refine entity clarity, comparison pages, and proof points, then re-audit. Complexity is beginner to intermediate depending on how you define brand queries and segments. It measures visibility signals; it does not replace full SEO tooling or paid ads strategy.
- AEO audits focused on brand visibility across major answer engines
- Covers ChatGPT, Perplexity, Claude, and Google AI in one workflow
- npm package @agentaeo/mcp-server (version 0.1.8) with stdio transport
- Invokable from the agent so marketing checks sit next to shipping code
- Pairs with content and positioning work in the Launch phase
Agentaeo Mcp Server by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add agentaeo-mcp-server -- npx -y @agentaeo/mcp-serverAdd your badge
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| Package | @agentaeo/mcp-server |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | May 5, 2026 |
| Repository | agentaeo/agentaeo-mcp-server ↗ |
What it does
Measure how often your brand or product appears in ChatGPT, Perplexity, Claude, and Google AI answers.
Who is it for?
Best when you're launching and care about citations in AI assistants as much as classic SEO.
Skip if: Pre-idea explorers with no brand yet, or developers who only need server uptime monitoring.
What you get
You get AEO audit data inside your agent workflow to tune positioning and content for generative search surfaces.
- AEO audit readouts across ChatGPT, Perplexity, Claude, and Google AI
- Baseline for generative search visibility before and after launch edits
- Agent-invokable visibility checks without leaving the dev environment
By the numbers
- Server version 0.1.8
- npm identifier @agentaeo/mcp-server
- Audits four answer-engine surfaces named in description
README.md
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
| Capability | AgentAEO | Conductor | Profound | AthenaHQ | seoClarity |
|---|---|---|---|---|---|
| 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
Recommended MCP Servers
How it compares
AEO visibility auditor MCP, not an MCP security scanner or tool-discovery index.
FAQ
Who is AgentAEO MCP Server for?
It is for developers and small teams launching products who need repeatable brand visibility checks across major AI answer engines.
When should I use AgentAEO MCP Server?
Use it during launch prep, after positioning changes, or when you refresh site copy and want to see AI citation impact.
How do I add AgentAEO MCP Server to my agent?
Install @agentaeo/mcp-server from npm, add the stdio MCP configuration from the server schema, set any API keys AgentAEO requires, and invoke audit tools from your client.