Schema Markup

Schema.org is a shared vocabulary maintained by Google, Microsoft, and others, defining hundreds of types — Article, Product, Organization, Person, HowTo, Review — each with standard properties. You embed these descriptions in your pages, almost always as JSON-LD script blocks, declaring facts like author, publication date, price, or rating in a format any parser can read without interpreting your layout.

Search engines use this structured data to power rich results — star ratings, product cards, event listings — and to feed entity understanding. The markup must always describe content actually visible on the page.

AI crawlers consume pages as text, and schema gives them an unambiguous fact layer alongside the prose. An Organization block establishes who you are; Article markup attributes authorship and dates, supporting E-E-A-T signals; Product markup states specifications a model might otherwise guess at. While no AI engine guarantees it reads every schema type, structured declarations reduce the misreads that lead to inaccurate brand descriptions in AI answers.

Schema also strengthens entity resolution: sameAs links connect your brand to its profiles across the web, helping engines consolidate signals onto one entity instead of fragmenting them.

For most brands the priority order is Organization (site-wide identity), Article with author details on content, Product with offers, FAQ schema on question-rich pages, and BreadcrumbList for structure. Validate with Google's Rich Results Test and keep markup synchronized with visible content as pages change. Geonimo's Articles Studio generates content with schema markup built in, so structured data ships with every article instead of being retrofitted later.