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Discovery

Schema Markup

Structured data in HTML that explains to search engines and AI systems what the content means - prerequisite for rich results and GEO.

Definition

Schema markup is a standardised vocabulary of data types (defined on schema.org) embedded in HTML - usually as JSON-LD in the `<head>`. It translates content into a machine-readable structure: a text becomes an `Article`, a list becomes a `FAQPage`, a person becomes a `Person` with job and employer.

Search engines use these annotations to display rich results: star ratings, FAQ accordions, breadcrumbs, event dates. AI answer systems use them to extract content precisely and attribute it correctly.

Without schema markup, a site is just text to machines - with schema, it becomes a queryable database.

Why it matters

Schema is the critical translator between human-readable and machine-readable web. Without it you lose rich results, AI citations, and most of the semantic intelligence modern search depends on.

In practice

  1. 01A blog post with `Article` schema (datePublished, dateModified, author) shows up as a news card in Google.
  2. 02A FAQ section with `FAQPage` schema expands inline in search results.
  3. 03A service page with `Service` schema can appear in Google Knowledge Panels.

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