Content and machine-readable context
Text version
- Visible content
- Matching structured data
- Search engine context
How it works
Mark up facts the page genuinely shows and validate the selected type.
Example
Example: A published article can describe its real author and headline using Article.
Common mistakes
Valid data does not guarantee rich results or AI citations.
How can you check this in practice?
First choose a type describing actual visible content. Validate syntax with Schema Markup Validator and supported Google features with Rich Results Test. Check the live URL after publication; a valid local example does not establish that the public page contains the same data.
Distinctions and limitations
Schema.org is a vocabulary, JSON-LD a format, and a rich result a possible search presentation. A Schema.org type does not imply Google offers a special result for it. Never mark up invented ratings or authors.
Article example
An article can describe its headline and actual author in JSON-LD. Authorship should match visible content and a real person. A minimal syntax example is not the complete requirement set for Google Article results.
Maintenance after changes
When price, availability, author or material text changes, update the structured description too. Inspect repeated nodes describing one entity. A stable @id supports consistency but does not itself establish truth.
Official sources
Editorial responsibility: Martin Zhelyazkov · Founder of Z-Consult
Updated: 05/11/2026
For a correction or question: office@z-consult.bg