$ man schema-markup-for-ai

Engineering · GEO & Content Engineering

Schema Markup for AI

Structured data embedded in your pages using JSON-LD that helps AI engines extract typed information — DefinedTerm for glossary entries, HowTo for guides, FAQPage for Q&A, BlogPosting for articles.

by Shawn Tenam


למה זה חשוב

Pages with 3 or more schema types have roughly 13% higher citation likelihood from AI engines. 96% of AI Overview citations come from sources with strong E-E-A-T signals, and schema markup is how you make those signals machine-readable. Schema tells AI engines not just what your content says, but what kind of content it is. A DefinedTerm tells the engine this is a definition worth citing. A HowTo tells it these are steps worth following. Without schema, AI engines have to guess. With schema, you're telling them explicitly.

איך אתה משתמש בזה

Every content type in ShawnOS has a corresponding schema type. Knowledge terms get DefinedTerm. How-to guides get HowTo with step elements. Wiki entries get TechArticle. Blog posts get BlogPosting with author and datePublished. Every page also gets Organization, Person, WebSite, and BreadcrumbList. The schema is generated from the same TypeScript data objects that render the pages.


מונחים קשורים
GEO (Generative Engine Optimization)Entity AuthorityContent Extractability
מדריך הנדסה ו-AIכל המונחים
ShawnOS.ai|theGTMOS.ai|theContentOS.ai
built with Next.js · Tailwind · Claude · Remotion