Ai Seo

基于 @automatelab/ai-seo-mcp（14 个工具）：用 audit_page 汇总 14 项检查定位 AI 引用障碍，按需检查结构化数据、canonical、robots、sitemap，评估引用价值得分，生成/验证 llms.txt，做 AEO/GEO 改写与页面差异对比。需 Node 20+，无需 API key。

automatelab

热度 25.45

最近更新 2026-05-31 21:55:57

分类：营销依赖：MCP 服务 / 第三方 API应用场景：市场分析 / 报告撰写 / 文案创作 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add automatelab-ai-seo

Metadata

name: ai-seo
description: Use when the user wants to audit a URL for AI citation eligibility, check why AI systems don't cite their pages, score AI Overview or citation worthiness, generate or validate an llms.txt file, rewrite content for AEO/GEO, extract named entities, or diff two page versions for SEO regressions. No API keys required.
version: 0.5.0
license: MIT
homepage: https://github.com/AutomateLab-tech/ai-seo-mcp
compatibility: {"hosts":["claude-code","cursor","claude-desktop","windsurf","vscode","zed","continue","cline","jetbrains","warp"]}
metadata: {"npm":"@automatelab/ai-seo-mcp","mcpName":"io.github.AutomateLab-tech/ai-seo-mcp"}

ai-seo

Pairs with the @automatelab/ai-seo-mcp server (14 tools). Audits why AI systems do or do not cite a page — structured answer extraction, schema completeness, crawler access, llms.txt, canonical hygiene — and generates fixes.

When to use which tool

Start here: audit_page composes all 14 checks in one call and returns a ranked list of citation-blockers with specific fixes. Use it as the default entry point.

Drill into a specific dimension:

Tool	Use when
`audit_schema`	User asks about structured data, JSON-LD, or schema.org coverage
`audit_canonical`	Checking canonical URL, `og:url`, `hreflang`, or noindex traps
`check_robots`	Verifying GPTBot / ClaudeBot / PerplexityBot / OAI-SearchBot are allowed
`check_sitemap`	Checking `lastmod` freshness signals and sitemap coverage
`check_technical`	Core Web Vitals signals, crawl accessibility, redirect chains
`score_ai_overview_eligibility`	"Will this page appear in Google AI Overviews?"
`score_citation_worthiness`	Cross-engine citation probability score
`generate_llms_txt`	Create an `llms.txt` for the site
`validate_llms_txt`	Validate an existing `llms.txt` against the spec
`rewrite_for_aeo`	Rewrite a page section for Answer Engine Optimization
`rewrite_for_geo`	Rewrite a page section for Generative Engine Optimization
`extract_entities`	Check named entity density and `sameAs` coverage
`diff_pages`	Compare two versions of a page for SEO regressions

Default workflow

User: "Audit https://example.com/my-post"
→ audit_page(url)          # full citation-blocker report
→ Read findings, prioritize by severity
→ For fixable issues, call the specific tool (e.g. rewrite_for_aeo) or draft inline edits

Server setup

Add to your MCP config:

Claude Code (.claude/mcp.json):

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

Claude Desktop (claude_desktop_config.json):

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

Requires Node 20+. No API keys needed — all checks are read-only HTTP fetches against the target URL.

Developed by AutomateLab. Source: github.com/AutomateLab-tech/ai-seo-mcp.