Agents discover more than pages
When people imagine an AI agent finding something online, they often picture a browser visit. In reality, agents can enter through search indexes, sitemaps, public JSON files, markdown documents, API docs, and structured listings.
Each of those entry points reduces guesswork in a different way.
The discovery stack
Rendered pages
Good for context, branding, and narrative.
JSON files
Good for explicit fields, endpoints, and inventories.
Markdown files
Good for readable text with low presentation noise.
Directories and registries
Good for structured comparison across many entries.
Glossaries and FAQs
Good for locking definitions and common answers into stable public routes.
What agents reward
Agents reward clarity because clarity lowers processing cost. A clean site tells them where to go next. A messy site forces them to infer too much.
That is why route design, content separation, and public file exposure are not implementation trivia. They are discovery signals.