TL;DR

Your website is probably invisible to AI answer engines like Perplexity. By adding a handful of static files (llms.txt, per-post markdown files, JSON feeds) and some HTML tags (Schema.org JSON-LD, hreflang links, sitemap discovery), you can make your content easily discoverable, parseable, and citable by AI agents. None of it requires a framework or third-party service — just templates that run once and cover every future post.

A few weeks ago, as I started to write more about AI, I figured that what I was posting to the web should be easily accessible by the technology that I was writing about. I had Claude Code review my website structure and have it give me suggestions on how I could make it more AI agent-friendly.

I also added automated translations to three other languages in my publishing process. Beyond making the content more accessible to more people, it has the side benefit of surfacing in AI agent searches in those languages.

This morning I came across Julia Solorzano's post on answer engine optimization, which gave me some additional ideas. Her post approaches it from a slightly different angle, and that made me realize this information might be useful to others.

So here's what I've learned: AI agents and answer engines (think Perplexity) are increasingly how people find information. If your site isn't set up for them, you might be missing out on additional visitors. Here's what you need to do, in order of impact. If you use an AI coding agent, there's a ready-to-paste prompt at the end to implement all of this for you.

Continue reading https://pablooliva.de/the-closing-window/ai-agent-discoverability/