Article Schema

Article schema is a structured-data type that captures an editorial page's author, publish date, headline, and related metadata in machine-readable form, giving crawlers explicit confirmation of authorship and freshness rather than requiring them to infer these details from visible page text.

Why it matters

Article schema directly supports the freshness and authorship signals that both E-E-A-T and AI grounding decisions depend on, making it a foundational implementation for any blog or editorial content a site wants AI systems to trust and cite.

Related terms

• Schema Markup / Structured Data

  Schema markup, or structured data, is machine-readable metadata embedded in a page, most commonly as JSON-LD, that explicitly tells crawlers what the content actually is: an article, an organization, a product, a set of questions and answers, rather than leaving that classification to inference.

• E-E-A-T

  E-E-A-T is Google's content-quality framework, Experience, Expertise, Authoritativeness, Trustworthiness, originally built for human search-quality raters, that now functions informally as a trust filter influencing whether AI systems treat a source as credible enough to cite.

• Organization Schema

  Organization schema is a structured-data type defining a brand's core entity information, including its official name, logo, founding date, and related identifiers, in machine-readable form that anchors every other page on the site to one consistent, verifiable organizational identity.