Schema markup is the language AI systems use to understand web content. By implementing schema.org vocabulary, you explicitly tell AI models what your content represents - whether it's a person, organization, product, article, or any other defined type.
DrewIs Intelligence LLC. (2026). Schema Markup. DrewIs.org Knowledge Base. https://drewis.org/concept/schema-markup
{
"@context": "https://schema.org",
"@type": "DefinedTerm",
"@id": "https://drewis.org/concept/schema-markup",
"identifier": "DC-007",
"name": "Schema Markup",
"description": "Structured data vocabulary (JSON-LD, Microdata, RDFa) that explicitly defines the meaning of content on web pages for search engines and AI systems.",
"inDefinedTermSet": {
"@type": "DefinedTermSet",
"name": "DrewIs.org Knowledge Base",
"publisher": {
"@type": "Organization",
"name": "DrewIs Intelligence LLC",
"url": "https://drewisintelligence.com"
}
},
"url": "https://drewis.org/concept/schema-markup",
"version": 1,
"dateModified": "2026-02-05T20:32:11.000Z",
"datePublished": "2026-02-05T20:32:11.000Z"
}