An experimental guide to Answer Engine Optimization
Summary
An experimental guide to Answer Engine Optimization argues content should be structured for AI agents by using Markdown as the source of truth, providing llms.txt, and serving markdown to AI crawlers with enriched metadata. It walks through five steps (markdown-first content, llms.txt, serving markdown to AI agents, metadata enrichment, and explicit permissions), plus caveats and a conclusion about AI-mediated discovery.