Schema.org markup
Updated
Also known as: Schema.org, Structured Data, JSON-LD, structured data
Schema.org markup is a vocabulary for describing structured data on web pages, launched jointly by Google, Bing, Yahoo and Yandex in 2011. With Schema.org markup, a page tells search engines explicitly what it is: article, product, FAQ, recipe, person, organisation, event. The common implementation is JSON-LD in the <head>. Schema.org is a requirement for rich snippets in the SERP and one of the most important levers for GEO visibility.
The most important schema types
- Article / NewsArticle / BlogPosting — for editorial content. With author, publication date, image.
- Product — for products, with price, availability, rating. A prerequisite for SERP product snippets.
- FAQPage — for FAQ sections. Enables directly clickable FAQ rich snippets in the SERP.
- HowTo — for step-by-step instructions.
- BreadcrumbList — for the page's navigation hierarchy.
- Organization / LocalBusiness — for your own brand or branch.
- DefinedTerm / DefinedTermSet — for glossaries, such as this one.
- Review / AggregateRating — ratings, the classic rich snippet lever.
Schema.org as a GEO lever
AI search engines such as ChatGPT, Perplexity and Google AI Overviews use Schema.org markup as a key to entity understanding. An article with a complete Article schema including author, datePublished, about and mentions is cited as a source significantly more often than a bare HTML text. The linking of entities via sameAs to Wikidata QIDs in particular is a strong trust signal for the AI: it can assign the named people, organisations and terms unambiguously.
Validating schema — three tools
- Google Rich Results Test — tests whether the markup meets the requirements for Google rich snippets.
- Schema.org Validator — checks the syntax and conformity with the Schema.org standard.
- Search Console reports — shows rich snippet markup found in production, including error statistics over time.
Practical example: a complete article with auto-generated schema
What does it look like in practice when Schema.org markup is generated from the editor rather than by hand? The Rankmio showcase Schema.org for GEO — how Rankmio built the article documents exactly that: a finished specialist article, alongside the full development history — brief, four target keywords, template, persona, nine active library sources and the JSON-LD generated by Rankmio on saving (Article + FAQPage + Quotation as a @graph), including Wikidata anchors via sameAs.
Example from practice
Example: An advice website had no Schema.org markup for 240 articles. Implementing Article schema with an author byline, Wikidata sameAs for the topic entities and FAQPage markup for the FAQ sections: after 8 weeks, 38% of the articles receive at least one rich snippet in the SERP and the average CTR rises by 28%. In parallel, 6 out of 10 top articles are cited regularly in AI Overviews — previously it was 1 in 10.
Frequently asked questions
What is Schema.org?
In which format is Schema.org embedded?
<script type="application/ld+json"> in the HTML head, is decoupled from presentation and has been preferred by Google since 2015. The alternatives Microdata and RDFa are considered legacy.Which schema is most important for SEO?
Does Schema.org improve rankings directly?
How do I check my schema markup?
search.google.com/test/rich-results) shows whether Google accepts the structured data for rich results. (2) The Schema.org Validator (validator.schema.org) checks format conformity. Rankmio Content Studio generates schema markup automatically and validates it during the publishing process.Used in Rankmio for
Schema markup check and auto-generation
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