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What is Schema.org for AI? Definition and business implications
Schema.org is a standard structured semantic markup vocabulary (most often JSON-LD) that AI engines use to understand the nature of a web page: defined term, FAQ, article, product, event. Properly implemented, it makes the page easier for machines to read, without guaranteeing citation or enhanced display.
Schema.org is a joint initiative by Google, Microsoft, Yahoo, and Yandex launched in 2011 to standardise semantic markup of web pages. The vocabulary today counts more than 800 distinct types. Five types are particularly useful for GEO. DefinedTerm and DefinedTermSet: for glossaries, indicate to engines that the page defines a term. FAQPage: for question-answer pages, makes Q/A pairs explicit (Google has not displayed FAQ rich results since May 2026). HowTo: for practical guides, describes the steps (Google withdrew the HowTo rich result in September 2023). Article and NewsArticle: for editorial content, signal author, date, publishing organisation. Organization and Person: to identify entities and feed the knowledge graph. Google states that this markup is not required for its generative AI features; it remains recommended as part of an overall SEO strategy. The dominant format in 2026 is JSON-LD embedded in the HTML script tag, simpler to maintain than microdata or RDFa alternatives.
Concrete example
Illustrative case. A B2B media platform publishes many articles every month. It sets up an editorial pipeline integrating JSON-LD Article + Person (author) + Organization markup: each article is automatically marked up at publication, end-of-article FAQs receive a FAQPage, guides receive a HowTo. The markup becomes more consistent and no longer depends on teams remembering it. It guarantees no citation: only regular monitoring of AI engines' answers can measure an effect.
FAQ
What is Schema.org and what is it for in AI?
It is a standard structured semantic markup vocabulary (most often in JSON-LD) that AI engines use to understand the nature of a page: defined term, FAQ, article, product, event. Properly implemented, it makes the page easier for machines to read. It is a joint initiative by Google, Microsoft, Yahoo, and Yandex launched in 2011, today counting more than 800 types.
Which types are useful for GEO?
Five in particular. DefinedTerm and DefinedTermSet for glossaries. FAQPage for question-answer pages. HowTo for practical guides. Article and NewsArticle for editorial content (author, date, organisation). Organization and Person to identify entities and feed the knowledge graph.
Does markup guarantee a citation or an enhanced display?
No. Google has not displayed FAQ rich results since May 2026 and withdrew the HowTo rich result in September 2023; it states that this markup is not required for its generative AI features. It remains recommended within an overall SEO strategy and useful for machine readability.
Should markup be automated?
Yes, beyond a certain volume. Manual markup degrades over time (forgotten pages, partial updates). Industrialisation at publication is non-negotiable, and the pipeline must be reassessed regularly because the vocabulary evolves.
How do you check markup?
With the Schema Markup Validator, the official validation tool. Without formal validation, faulty markup is worse than no markup. The dominant format in 2026 is JSON-LD embedded in the HTML script tag, simpler to maintain than the alternatives.
See also
Further reading
Sources
- Schema.org official documentation, DefinedTerm, FAQPage, HowTo, Article specifications, 2026. https://schema.org/
- Schema Markup Validator, official validation tool, 2026. https://validator.schema.org/
- Changes to HowTo and FAQ rich results, Google Search Central Blog, 8 August 2023 (updated 14 September 2023). https://developers.google.com/search/blog/2023/08/howto-faq-changes
- Google Search Central, documentation updates log: FAQ rich result discontinued (7 May 2026) and llms.txt note (June 2026). https://developers.google.com/search/updates
- Google's Guide to Optimizing for Generative AI Features on Google Search, Google Search Central, 2026. https://developers.google.com/search/docs/fundamentals/ai-optimization-guide