AI Citation Toolkit - audit, score, and rewrite web pages for AI-citation eligibility. AEO/GEO/LLM visibility for any MCP client.
If you already use Ai Seo, the ai seo mcp server is the piece that lets your assistant work with it directly. AI Citation Toolkit - audit, score, and rewrite web pages for AI-citation eligibility. AEO/GEO/LLM visibility for any MCP client.
Works inside Claude, Cursor, Windsurf, Codex, and any MCP client that speaks stdio.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
uses — actions/checkout@v4name — AI-SEO auditaudit_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 patternsaudit_canonical — Canonical link integrity, trailing-slash hygiene, og:url consistencyaudit_site — Single-call site sweep: audit_page + check_robots + check_sitemap + audit_schema with overall grade and top-5 fixesaudit_sitemap — Site-wide content audit: stride-sample N URLs from the sitemap, run audit_page on each, return distribution + worst pages + top findingscheck_robots — Parse robots.txt and report per-crawler allow/disallow for all known AI crawlers. Surfaces the GPTBot-blocked-but-OAI-SearchBot-allowed trapcheck_sitemap — Validate XML sitemaps: presence, URL count, lastmod freshness, image/video extensionscheck_technical — HEAD tag audit: canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, title hygienescore_ai_overview_eligibility — Score a page's probability of appearing in Google AI Overviews using current correlation factorsscore_citation_worthiness — Score how citable a page or text block is for Perplexity, ChatGPT, Google AI Overviews, and Claude. Includes per-section chunk_analysis /Installation goes through your MCP client rather than a global install: point it at @automatelab/ai-seo-mcp on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ai Seo's toolset — uses, name, audit_page and 11 more — is a fair guide to whether it matches your workflow. It is maintained by automatelab-tech; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| uses | actions/checkout@v4 |
| name | AI-SEO audit |
| 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. Includes per-section chunk_analysis / extractability_score: how cleanly an LLM can lift a standalone answer from each he |
| score_agentic_browsing | Score a page against the Lighthouse "Agentic Browsing" category (May 2026): llms.txt, WebMCP, accessibility-tree integrity, and layout stability. |
| score_test_citation | Simulate "would an AI engine cite this for this query?" via MCP sampling, with deterministic heuristic fallback. |
{
"mcpServers": {
"ai-seo": {
"command": "npx",
"args": ["-y", "@automatelab/ai-seo-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.