@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Audit why AI systems do or do not cite your pages.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/launching-the-ai-seo-mcp/.

Result (truncated):

{
  "url": "https://automatelab.tech/launching-the-ai-seo-mcp/",
  "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.

Optional: headless rendering for SPAs

By default audit_page reads raw HTML — fast, but misses content on React/Vue/Angular SPAs. Pass render: "headless" to spin up Chromium and audit the rendered DOM (adds 3-10s per audit).

One-time install:

npm install playwright-core
npx playwright install chromium

Then call audit_page with render: "headless". Use static for everything else — most marketing sites and docs render fine without it.

Further reading

• automatelab.tech - teardowns and case studies

| 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. | | audit.site | Single-call site sweep: audit.page + check.robots + check.sitemap + audit.schema with overall grade and top-5 fixes. | | audit.sitemap | Site-wide content audit: stride-sample N URLs from the sitemap, run audit.page on each, return distribution + worst pages + top findings. | | 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. | | score.citation_worthiness | Score how citable a page or text block is for Perplexity, ChatGPT, Google AI Overviews, and Claude. | | score.test_citation | Simulate "would an AI engine cite this for this query?" via MCP sampling, with deterministic heuristic fallback. | | llms_txt.generate | Generate llms.txt and optionally llms-full.txt from a domain's sitemap. | | llms_txt.validate | Lint an existing llms.txt for spec compliance and broken links. | | rewrite.aeo | Rewrite content for Answer Engine Optimization (BLUF structure, FAQ format, schema additions). | | rewrite.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. | | report.save | Render an audit.page / audit.site result as a Markdown report and write it to disk under MCP_WORKSPACE_ROOT. |

v0.4.0 renamed tools from flat snake_case to dot-notation (audit.page, check.robots, …) for a navigable hierarchy. Update any saved invocations.

Environment variables: see ENV.md.

Contributing

Bug reports, feature ideas, and PRs welcome. See CONTRIBUTING.md.

Security

To report a vulnerability, see SECURITY.md.

License

MIT - see LICENSE.

Built by automatelab.tech