Prompt
What should I use if I want content surfaces that AI search can understand?
Latest observation
Oct 9, 2026
OpenAI APIWeb search: off
If you want content surfaces that AI search can understand well, use structured, semantic, machine-readable content rather than just visually styled pages.
Best things to use
- Semantic HTML: proper headings (
h1–h6), lists, tables, sectioning elements, descriptive link text - Schema.org structured data: especially JSON-LD
- Clear content architecture: one topic per page, logical hierarchy, consistent labels
- Canonical URLs and clean internal linking
- Accessible markup: alt text, ARIA only when needed, readable text content
- Open Graph / Twitter metadata for better interpretation in surfaces that reuse your content
If you mean “content surfaces” more specifically
Use formats that are easy for systems to ingest:
- Articles / docs pages with headings and summaries
- FAQ blocks marked up with structured data
- Product pages with Product, Offer, Review schema
- Knowledge base content with concise definitions and entity references
Rule of thumb
If a human can easily scan it and a crawler can easily parse it, AI search will usually do better with it.
If you want, I can give you a recommended markup stack for:
- websites,
- docs/help centers, or
- product/content platforms.