MCP 服务器

automatelab-ai-seo

Vendor-agnostic MCP server that audits, scores, and rewrites web pages for AI-citation eligibility. No API keys. No registration. Works in Claude Desktop, Cursor, Cline, Windsurf, VS Code (Copilot / Continue), and any client that speaks the Model Context Protocol.

README

@automatelab/ai-seo-mcp

AI Citation Toolkit for the Model Context Protocol

Audit why AI systems do or do not cite your pages. MCP server. No API keys.

Works inside Claude, Cursor, Windsurf, Codex, and any MCP client that speaks stdio.

What it checks

AI crawler access - GPTBot, OAI-SearchBot, ClaudeBot, and PerplexityBot allowed or blocked in robots.txt
llms.txt - present, spec-compliant, links alive
Structured answer extraction - FAQ headings, BLUF paragraphs, answer-ready blocks
Schema completeness - FAQPage, Article, Organization, Person; flags deprecated patterns
Entity clarity - named entity density and sameAs coverage that help AI systems identify the subject
Citation formatting - canonical URL hygiene, og:url, hreflang, noindex traps
Sitemap freshness - lastmod signals that tell crawlers the page is current

Run an audit. Get a list of citation-blockers, ranked.

You: Run an AI-SEO audit on https://automatelab.tech/how-to-connect-zapier-to-notion.

Result (truncated):

{
  "url": "https://automatelab.tech/how-to-connect-zapier-to-notion",
  "score": 61,
  "grade": "C",
  "dimension_scores": {
    "schema": 45, "technical": 80, "structure": 40,
    "robots": 90, "freshness": 85, "authority": 40,
    "entity_density": 21, "sitemap": 100
  },
  "findings": [
    {
      "severity": "critical",
      "category": "structure",
      "message": "No FAQ structure found (no FAQPage schema or H3 question headings).",
      "fix": "Add FAQ H3 headings ending in '?' with answer paragraphs, and a FAQPage JSON-LD block.",
      "estimated_impact": "high"
    },
    {
      "severity": "warning",
      "category": "authority",
      "message": "Low authority signals - missing Organization or author Person schema.",
      "fix": "Add Organization JSON-LD and Article.author as a Person node with sameAs links.",
      "estimated_impact": "high"
    }
  ]
}

Each finding names the exact fix. No opaque scores, no guesswork.

Install

npx -y @automatelab/ai-seo-mcp

Requires Node 20 or later.

Claude Desktop

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

{
  "mcpServers": {
    "ai-seo": {
      "command": "npx",
      "args": ["-y", "@automatelab/ai-seo-mcp"]
    }
  }
}

Restart Claude Desktop. Any MCP client that supports stdio transport works - same command / args pattern.

Tool	Purpose
`audit_page`	Composite AI-SEO audit with 8-dimension scoring (schema, technical, structure, robots, freshness, authority, entity density, sitemap).
`audit_schema`	Validate JSON-LD against Schema.org rules and AI-citation best practice. Flags deprecated patterns.
`audit_canonical`	Canonical link integrity, trailing-slash hygiene, `og:url` consistency.
`check_robots`	Parse `robots.txt` and report per-crawler allow/disallow for all known AI crawlers. Surfaces the GPTBot-blocked-but-OAI-SearchBot-allowed trap.
`check_sitemap`	Validate XML sitemaps: presence, URL count, `lastmod` freshness, image/video extensions.
`check_technical`	HEAD tag audit: canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, title hygiene.
`score_ai_overview_eligibility`	Score a page's probability of appearing in Google AI Overviews using current correlation factors.
`generate_llms_txt`	Generate `llms.txt` and optionally `llms-full.txt` from a domain's sitemap.
`validate_llms_txt`	Lint an existing `llms.txt` for spec compliance and broken links.
`score_citation_worthiness`	Score how citable a page or text block is for Perplexity, ChatGPT, Google AI Overviews, and Claude.
`rewrite_for_aeo`	Rewrite content for Answer Engine Optimization (BLUF structure, FAQ format, schema additions).
`rewrite_for_geo`	Rewrite content for Generative Engine Optimization (entity definitions, comparison tables, synthesis-ready structure).
`extract_entities`	Extract named entities, `sameAs` links, and citation-density score from a page's content and structured data.
`diff_pages`	Compare two URLs for AI citation-worthiness: side-by-side dimension scores, gap analysis, and prioritized fix recommendations for url_a.