Building a machine-readable website for AI agents.
AI agents do not browse like humans. They fetch endpoints, parse structured data, and call APIs. A machine-readable website makes that workflow possible — and it does not require rebuilding your existing site.
What machine-readable actually means
A machine-readable website exposes the same business facts that exist in your visual UI — product details, company information, FAQs, pricing, testimonials — in a structured, programmatically accessible format. AI agents can then read, query, and reason over those facts without scraping HTML. The three layers that matter: JSON-LD on every page, structured JSON endpoints at stable URLs, and an AI sitemap plus agent manifest for discovery.
Why AI agent browsing is different
Human visitors arrive on a homepage, scan visually, and click through navigation. AI agents arrive on whatever URL the user query implies, fetch it, and try to extract specific facts. If the facts are buried in CSS-heavy layouts or JavaScript-rendered components, the agent gives up or hallucinates. This is the architectural foundation Google WebMCP is converging on — see what is Google WebMCP and what it means for marketers.
The minimum viable machine-readable layer
Organization JSON-LD on every page, WebPage JSON-LD on every page, Product/FAQPage/Article JSON-LD where relevant, an /ai-sitemap.xml listing structured endpoints, an agent manifest at /.well-known/ai-plugin.json, and JSON endpoints for at minimum company profile, product or service catalog, and FAQ.
How to deploy without rebuilding your site
The traditional approach takes engineering teams months. LightSite deploys the full machine-readable layer alongside your existing site without code changes — structured data, AI sitemap, agent manifest, and Skills API published on your domain in 5 to 15 minutes. See how to optimize your website for AI search and structured data as training material.
Audit your current machine-readability with the free GEO Checker.