Schema.org vocabulary
Schema.org provides shared types and properties. A type represents what an entity is; properties describe it and connect it to other entities.
Structured-data formats
- JSON-LD — JSON inside a script element
- Microdata — attributes placed in HTML
- RDFa — linked-data attributes in HTML
What schema does not do
- It does not guarantee a rich result.
- It does not replace visible content.
- It does not make an unsupported claim true.
- It does not fix crawl, indexing, quality, or performance problems by itself.
Entity fit for schema markup
Use schema markup only when the page visibly represents the corresponding entity or relationship. Begin with the page purpose and the entity graph, then select the most specific supported type. Do not let the available vocabulary dictate claims the page does not make.
Visible support
Every material property should be supported by visible, current, and accurate page content.
Stable identity
Use consistent identifiers when the same organization, person, place, product, service, or webpage appears across the graph.
Consumer requirements
Treat Schema.org validity and search-consumer eligibility as related but separate checks.
Deployment record for schema markup
- Syntax validation, type/property validation, consumer testing, and post-deployment inspection.
- Record the page template, generator, source fields, responsible owner, and release reference.
- Avoid publishing properties that are unsupported, hidden, stale, or inconsistent with visible content.
- Parse the deployed json-ld, validate the graph, compare it with visible content, and test any target consumer requirements.
- Schedule review when visible content, offers, ownership, locations, products, or consumer documentation changes.
Expand the reach of schema markup
Search visibility and user value improve when schema markup answers the real questions people bring to the page. For business owners, marketers, seo practitioners, and developers, that means covering the decision context, observable signals, implementation boundaries, and proof that the result works in production—not repeating a keyword or publishing a longer version of the same incomplete explanation.
Use the page as part of a connected topic cluster. Link the broad concept to focused implementation guides, definitions, checklists, examples, and the Asuruas workflow that can identify affected URLs. The goal is to help a reader move from discovery to a confident next action while giving search systems clear entities, relationships, and page purpose.
- Inspect entity type and page purpose.
- Inspect required and recommended properties.
- Inspect identifier relationships across the JSON-LD graph.
- Inspect agreement between markup and visible content.
Strengthen the answer
Select the narrowest accurate entity type.
Build the topic cluster
Connect organization, website, webpage, and primary entities.
Prove the outcome
Validate syntax and eligibility after deployment.
Turn schema markup into an accountable record.
A maintainable structured-data graph for schema markup with stable identifiers and ownership.