sitemap.md semantic discovery map
Publish a Markdown sitemap with section labels and page descriptions so agents can understand the site structure before they start fetching individual pages.
Why this can grow a startup
XML tells crawlers what exists, but Markdown tells assistants what matters. A semantic sitemap reduces wandering, makes internal clusters legible, and gives answer engines a fast orientation layer for the whole corpus. It is one of the simplest ways to turn a pile of pages into a discoverable knowledge surface.
Company example
Vercel's AI-agent documentation checklist explicitly recommends serving `/sitemap.md` as a semantic Markdown sitemap describing docs sections and pages.
Source and metric
Source: Vercel Knowledge Base · Browse Vercel Knowledge Base tactics
Source discovered: May 24, 2026
When to use it
Use this when SEO, AI Search, Website is relevant to seo, site-architecture, ai-discovery and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read Vercel Knowledge Base and identify what is directly supported.
- Choose one channel context: SEO, AI Search, Website.
- Define the test around one observable customer behavior.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.