Sitemaps for Agent Discovery
A new standard for agent discovery, XML sitemaps, is being promoted as essential for making website content accessible to AI agents. The approach flattens a site's deep inventory into a single machine…
A new standard for agent discovery, XML sitemaps, is being promoted as essential for making website content accessible to AI agents. The approach flattens a site's deep inventory into a single machine…
A new web standard, AI-aware robots.txt, allows site owners to control which AI crawlers can access their content, preventing silent exclusion from AI training data and answer corpora. The article pro…
A new emerging standard called agents.json allows websites to declare their capabilities to AI agents by publishing a manifest file that describes tasks and flows, bridging the gap between OpenAPI end…
A new course, 'The Agent Readiness Course,' teaches web developers how to make their sites legible to AI agents by implementing standards like robots.txt, sitemaps, JSON-LD structured data, llms.txt, …
JSON-LD structured data embedded in web pages provides unambiguous typed facts that AI agents can extract deterministically, improving semantic signal density and reducing inference errors. The articl…
A new web standard called llms.txt and its companion llms-full.txt provide a machine-readable markdown file at a site's root, giving AI agents a curated map of key pages to reduce token costs and impr…
OpenAPI documents provide machine-readable contracts that enable AI agents to call HTTP APIs with precise endpoints, parameters, and response formats, replacing guesswork from prose documentation. Fra…