
What is schema markup?
Schema markup is structured data added to a page so search engines and AI systems understand what it is about.
Definition
Written in a vocabulary from Schema.org, usually as JSON-LD, it describes things such as an organisation, a product, an article or a set of FAQs.
Why it matters
It helps search engines and AI assistants interpret pages precisely, and can enable richer search results.
How to get it right
- Describe only what the page actually shows.
- Use JSON-LD.
- Mark up your organisation, products and FAQs.
- Validate it with a testing tool.
Mistakes to avoid
- Marking up content that is not on the page
- Invalid JSON
- Fake reviews or ratings
Related terms
- Meta descriptionA meta description is the short summary of a page that search engines may show under its title in results.
- llms.txtllms.txt is a plain-text file at a website's root that gives AI assistants a concise, readable summary of the site.
- Generative engine optimization (GEO)Generative engine optimization is the practice of making content more likely to be cited by AI assistants such as ChatGPT, Perplexity and Google's AI answers.
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What is schema markup?
Schema markup is structured data added to a page so search engines and AI systems understand what it is about. Written in a vocabulary from Schema.org, usually as JSON-LD, it describes things such as an organisation, a product, an article or a set of FAQs.
Why does Schema markup matter?
It helps search engines and AI assistants interpret pages precisely, and can enable richer search results.
How do you get schema markup right?
Describe only what the page actually shows. Use JSON-LD. Mark up your organisation, products and FAQs. Validate it with a testing tool.

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