Agent Readiness Audit
Audits how AI agents can read and use a website, including llms.txt and WebMCP.
Install
npx skills add AgriciDaniel/claude-seo --skill seo-agentic -g -a claude-code -y- Repository
- AgriciDaniel/claude-seo25.5k
- Category
- Marketing
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 2,723 tokens
- Runs scripts
- No, instructions only
What it does
Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).
Agentic Browsing Readiness
Makes a site usable by AI agents that browse, fill forms and act for people (ChatGPT's browser, Gemini in Chrome, Claude in Chrome, Comet, Edge), and explains Google's Lighthouse Agentic Browsing result.
The framing that survives every standards outcome: agent readiness is accessibility plus performance plus access policy, with a Markdown and discovery layer on top. WebMCP is an optional enhancement for sites with forms or transactions, not a foundation (WebKit opposes it, Mozilla is neutral, and only ChatGPT desktop calls tools by default).
Commands
| Command | What it does |
|---|---|
/seo agentic <url> | Full agent-readiness audit (default mode) |
/seo agentic lighthouse <url or file.json> | Explain the Lighthouse Agentic Browsing X/N result |
/seo agentic fix <url> | Draft fixes: robots.txt Content-Signal, llms.txt, ai-catalog.json, WebMCP |
/seo agentic refresh | Re-verify the dated facts in references/vendor-matrix.md |
Audit process
Run the steps in this order and keep every tool's JSON for the report.
