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maxaeo/maxaeo-ai-visibility-mcp

by Various

Local-first MCP server for AI visibility audits: GEO/AEO, AI SEO, llms.txt, schema, sitemap and AI crawler readiness.

MCP

maxaeo/maxaeo-ai-visibility-mcp

Added 4 July 2026

#aeo #ai-crawler #ai-search #ai-seo #ai-visibility #answer-engine-optimization #claude #claude-code

Overview

A local-first MCP server that audits websites for AI visibility. It checks GEO/AEO, AI SEO, llms.txt, schema markup, sitemaps, and AI crawler readiness. The tool runs as a JavaScript server using the Model Context Protocol.

Best for

Best for
Developers auditing websites for AI crawler compatibility and AI search optimization

Use cases

  • Auditing a website's AI search visibility
  • Checking llms.txt and schema markup for AI crawlers
  • Validating sitemap and GEO/AEO readiness

How to use

Install

npm install -g maxaeo-ai-visibility-mcp

Tools exposed

  • check_llms_txt
  • audit_ai_crawler_readiness
  • build_ai_visibility_report

Tested with

Claude Desktop, Cursor, Windsurf, Continue, ChatGPT

Notes

A local-first MCP server that audits websites for AI visibility. It checks GEO/AEO, AI SEO, llms.txt, schema markup, sitemaps, and AI crawler readiness. The tool runs as a JavaScript server using the Model Context Protocol.

0 stars on GitHub. Last updated 2026-07-03. Licensed MIT.

Use cases

  • Auditing a website’s AI search visibility
  • Checking llms.txt and schema markup for AI crawlers
  • Validating sitemap and GEO/AEO readiness

Pros

  • Local-first design preserves privacy and works offline
  • Targets emerging AI visibility standards
  • JavaScript-based, easy to integrate into existing workflows

Cons

  • Zero stars indicates early stage or low adoption
  • Limited to AI visibility audits, not general SEO
  • Requires an MCP-compatible client to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Local-first design preserves privacy and works offline
  • Targets emerging AI visibility standards
  • JavaScript-based, easy to integrate into existing workflows

Cons

  • Zero stars indicates early stage or low adoption
  • Limited to AI visibility audits, not general SEO
  • Requires an MCP-compatible client to use
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