Glossary · Glossary

Schema Markup

Schema markup is structured data that uses vocabulary such as Schema.org to describe page entities and properties.

Updated Oct 26, 2026 Reviewed Oct 26, 2026 en

Schema markup is structured data written with a vocabulary such as Schema.org. It lets publishers describe page entities and properties in a way that search systems can parse.

In practice, schema markup is often written as JSON-LD in the page head or body. The markup should describe the real page, not a version of the page the publisher wishes existed.

Why it matters

Schema markup gives editors and developers a shared language for describing articles, organizations, breadcrumbs, products, events, FAQs, and other page types. That common vocabulary can make implementation and review more precise.

For GEO and AI answer visibility, schema markup is not magic. Its value is that it supports clarity. The page still needs visible content, source support, and useful structure.

The clearest AI-era use is entity anchoring. When a page states, in machine-readable form, what the entity is named, when it was published or updated, and who published it, a system that parses the page spends less effort guessing. Markup removes ambiguity; it does not add importance. An engine that can identify a page precisely can still decline to cite it.

How it differs

Schema markup is the vocabulary and implementation pattern. Structured data is the broader category. A rich result is a possible search presentation outcome when supported markup meets feature-specific requirements.

Schema.org includes many types and properties. Search systems do not necessarily use every type for rich results.

In format terms, JSON-LD is a script block describing the page; microdata and RDFa spread attributes through the HTML. JSON-LD is the usual recommendation because it keeps the description in one readable block instead of scattering it across the template.

Example

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Geolyze",
  "url": "https://www.geolyze.org/"
}
</script>

This describes an organization. It does not claim that every page on the site is eligible for a special search feature.

Counterexample

Adding Product markup to a glossary page that does not show a real product, price, availability, or offer.

That markup would create a mismatch between the visible page and the machine-readable data.

How teams verify it

Step	What to check
Validate syntax	Run the page through a structured-data validator before deploy, not after.
Match the visible page	Every marked-up fact should also be readable on the page by a person.
Use the narrowest type	An Article marked up as an Article is more defensible than a vague Thing.
Re-check after template changes	Headless themes and upgrades are the usual way valid markup silently breaks.
Do not chase feature eligibility	Mark up what the page is; rich-result eligibility is a separate outcome.

Common misunderstanding

Schema markup should not invent facts, hide promotional claims, or substitute for a useful page. If the markup does not match visible content, it can create review and trust problems instead of search clarity. Adding more schema types does not make a page more citable; adding markup that matches a useful page removes guesswork.