People increasingly don't visit your site — an AI agent visits it for them, reads what it can, and reports back. Whether that agent finds you, understands you, and can act for you comes down to a handful of concrete web standards. This course covers all of them, foundational to emerging, each with copy-paste implementation and a way to measure it.
Measure any page against every one of these with the Core Agent Vitals analyzer — its Agent Discoverability panel links each check straight back to the matching lesson below.
Module 1 — Foundations: can an agent read it? #
The standards agents already respect. Get these wrong and you're invisible.
— let the right AI crawlers in; a staleAI-Aware robots.txtDisallow
erases you from agent answers.— the table of contents that gets your deep pages found.Sitemaps for Agent Discovery— tell agents what a pageJSON-LD Structured Datais, in typed facts, not prose.
Module 2 — LLM-native: is it legible and callable? #
Purpose-built signals for language models and tool use.
— a curated, machine-readable map an agent reads in one cheap fetch.llms.txt & llms-full.txt— an OpenAPI spec turns your API from guessed to callable.API Docs for Agent Tool Use
Module 3 — Emerging: can an agent operate it? #
Where the agentic web is heading — early, optional, worth understanding now.
— declare what your site canagents.json Capability Declarationdo, not just what it says.— let agents call your actions directly instead of scraping.WebMCP for Websites
Start at lesson 1, or jump to whatever your analyzer results flag as missing.