Help AI Resolve Your Site: Entity Graph & Structured Data Guide

How Neural Retrieval Systems Read Schema

When an AI agent ingests a web page, it parses both unstructured prose and structured JSON-LD data. High-quality Schema.org markup acts as ground-truth anchor data: it disambiguates whether 'Apple' refers to the fruit or the corporation, declares explicit author identities, and specifies precise pricing and availability.

Essential Schema Types for AI Retrieval

1. Organization & WebSite: Declares official legal names, alternate names, brand logos, and customer support channels.
2. Article / TechArticle: Declares the exact publication date, last modified date, author URL, and publisher hierarchy.
3. Product & Offer: Prevents AI assistants from hallucinating outdated prices by declaring currency, availability, and return policies explicitly.

Clean JSON-LD Graph Example

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#org",
      "name": "Acme Inc.",
      "url": "https://example.com/",
      "logo": "https://example.com/logo.png"
    },
    {
      "@type": "TechArticle",
      "headline": "Understanding Distributed Consensus",
      "author": { "@type": "Person", "name": "Jane Doe" },
      "publisher": { "@id": "https://example.com/#org" },
      "datePublished": "2026-01-15T08:00:00Z"
    }
  ]
}