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Discoverable by Machines: The SEO/AEO Stack

Every piece of infrastructure you need to make a website findable by Google, ChatGPT, Claude, Perplexity, and the long tail of autonomous agents that are now deciding what humans read. This bench pairs the companion article ("The Whole Stack of Being Found") with real, working catalog tools: Search Console MCP servers for measuring what's already working, the AEO CLI for automating Answer Engine audits, the llms.txt hub for discovery, structured-data and crawling tools for ingestion, and the Claude SEO MCP for hands-on analysis inside your agent.

Use it as a toolkit: install the Search Console MCP first so Claude or Cursor can pull your own data as tools, then run the AEO CLI over your site to generate the audit, then steal ideas from llms-txt-hub for your own manifest. The article at /blog/the-whole-stack-of-being-found walks through all fourteen pieces of the stack. The bench gives you the tools to actually ship them.

SEO is not dead. It just grew a second half called AEO. Both matter. This bench is the shortest path I know to doing both.

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Don't lose this

Three weeks from now, you'll want Discoverable by Machines: The SEO/AEO Stack again. Will you remember where to find it?

Save it to your library and the next time you need Discoverable by Machines: The SEO/AEO Stack, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

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