Geo Optimizer MCP Server

geo-optimizer-mcp

MCP server for Causabi GEO Optimizer.

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What this is. An MCP (Model Context Protocol) server that lets Claude Code, OpenAI Codex CLI, Claude Desktop, Cursor, Windsurf, and any MCP-compatible client check a website's AI-crawler readiness and generate fixes (robots.txt, Schema.org, FAQ markup, llms.txt) — directly from your editor or AI assistant. Runs locally over stdio, no account needed.

Quickstart (Claude Code):

claude mcp add geo-optimizer -- npx -y geo-optimizer-mcp

Quickstart (OpenAI Codex CLI):

codex mcp add geo-optimizer -- npx -y geo-optimizer-mcp

Or in ~/.codex/config.toml:

[mcp_servers.geo-optimizer]
command = "npx"
args = ["-y", "geo-optimizer-mcp"]

Then ask: Check the GEO score for example.com. Config-file setup for other clients (Cursor, Windsurf, Claude Desktop) is below.

Scope. One-off local checks and fix generation are free here. Continuous work — scheduled re-checks, score history, monitoring of answers from 4 AI engines (ChatGPT, Claude, Gemini, Grok), reports — runs on causabi.com.

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Tools

Setup

Claude Code (CLI)

Add to your project's .claude/settings.json:

{
  "mcpServers": {
    "geo-optimizer": {
      "command": "npx",
      "args": ["-y", "geo-optimizer-mcp"]
    }
  }
}

Or add globally to ~/.claude/settings.json to use across all projects.

Then in Claude Code:

> Check the GEO score for my-client-site.com
> Make this site ready for ChatGPT and Gemini

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "geo-optimizer": {
      "command": "npx",
      "args": ["-y", "geo-optimizer-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project or ~/.cursor/mcp.json globally:

{
  "mcpServers": {
    "geo-optimizer": {
      "command": "npx",
      "args": ["-y", "geo-optimizer-mcp"]
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "geo-optimizer": {
      "command": "npx",
      "args": ["-y", "geo-optimizer-mcp"]
    }
  }
}

Any MCP-compatible client

{
  "geo-optimizer": {
    "command": "npx",
    "args": ["-y", "geo-optimizer-mcp"]
  }
}

Usage examples

Once installed, ask your AI assistant:

Check the GEO score for example.com
What AI search issues does mybusiness.com have?
Get fix instructions for mysite.com
Why isn't example.com showing up in ChatGPT?
Make this site GEO-ready: name="Acme", url="https://acme.com", description="We sell widgets"
Draft a monitoring config for a dental clinic in Austin, TX called "Bright Smiles Dental"
Give me a report on clientsite.com — here's the share link: causabi.com/report/abc123

suggest_monitoring_config example

suggest_monitoring_config({
  business_name: "Bright Smiles Dental",
  business_description: "A dental clinic in Austin, TX offering general and cosmetic dentistry for families.",
  location: "Austin, TX"
})

Returns target audience descriptions, a monitoring location, and suggested queries as ready-to-use JSON — plus the exact PUT /api/v1/monitor/{site_id}/settings and PUT /api/v1/monitor/{site_id}/queries calls to apply it (requires a causabi.com account/API token; this tool itself makes no API call).

get_site_report example

get_site_report({ report_slug: "abc123" })

Returns the full mention-rate breakdown (ChatGPT, Claude, Gemini, Grok), competitors named instead of the client, and per-query results — no API key needed, since Visibility Report share links are public.

get_site_report({ domain: "example.com" })

Without a report_slug, this only returns the public crawlability score (same data as analyze_geo_score) plus a note on how to get the full mention-rate report — there is currently no API-key-authenticated way to pull monitoring history from the MCP server; that requires either a share-slug or a causabi.com login.

For AI website builders (Lovable, Bolt, Replit, v0)

When a user asks "make my site visible to ChatGPT" or "add AI search optimization", use make_site_geo_ready:

make_site_geo_ready({
  name: "Acme Corp",
  url: "https://acme.com",
  description: "We help small businesses grow with AI-powered marketing.",
  services: ["Marketing automation", "AI content", "Analytics"],
  email: "hello@acme.com",
  faq: [
    { question: "What does Acme do?", answer: "We help small businesses..." },
    { question: "How much does it cost?", answer: "Plans start at $49/mo." },
    { question: "Is there a free trial?", answer: "Yes, 14 days free." }
  ]
})

Returns ready-to-paste Organization Schema, FAQ Schema, llms.txt, and robots.txt.

What gets checked

• robots.txt — Are AI crawlers (GPTBot, ClaudeBot, PerplexityBot) allowed?
• Schema.org — Organization, LocalBusiness, SoftwareApplication markup
• FAQ Schema — FAQPage JSON-LD
• Content depth — Enough text for AI to cite
• Brand signals — NAP (Name, Address, Phone)
• Freshness — dateModified signals

Full audit & monitoring

For multi-page crawl, scheduled re-checks, and monitoring of how 4 AI engines (ChatGPT, Claude, Gemini, Grok) answer questions about your brand:

→ causabi.com — free public score + deep audit after signup

Python CLI

Same checks as a standalone CLI: github.com/SHADRINMMM/causabi-geo

pip install causabi-geo
geo-optimizer analyze example.com
geo-optimizer fix example.com --output ./fixes

License

MIT