Schema.org Markup

Schema.org Markup is structured data implemented using the Schema.org vocabulary that helps search engines and AI systems understand content structure through machine-readable data. Schema.org defines entity types including Organization, Product, Article, FAQ, and HowTo, with each entity type having specific attributes that help search engines extract structured information about page entities.

In AI Search, Schema Markup is a medium-impact component of the AI SEO Alignment Score — not as critical as BLUF or Information Density, but it supports the Retrieved phase by making content easier for bots to parse and builds a Web Entity. By providing direct access to questions and answers, FAQ Schema eliminates the need for HTML parsing by AI systems, while Article Schema provides clear content structure signals that help AI systems understand page organization.

Implementation typically focuses on Organization Schema for homepages, Article Schema for blog posts, and FAQ Schema for question sections. The Schema data must accurately match the on-page content to maintain search engine trust and avoid penalties for misleading markup.