The shared vocabulary for structured data that search engines and AI use to understand your pages.
Official siteSchema.org is a collaborative project — founded by Google, Microsoft, Yahoo and Yandex — that maintains a shared vocabulary for structured data on the web. It gives you a standard way to describe what a page is about: an article, a product, a local business, an FAQ, a person, an organisation and hundreds more types.
When you add Schema.org markup, usually as JSON-LD, search engines can render rich results and AI systems can more confidently understand and reuse your content. It is one of the most directly actionable standards in SEO.
Schema.org publishes and evolves a type-and-property vocabulary that describes real-world things and content. Search engines map this vocabulary to features like rich results, and AI systems use it as high-confidence structured context about a page.
Correct Schema.org markup can unlock rich results in Google, clarify your entity to search engines, and give AI systems explicit, machine-readable facts about your content. Done wrong or over-claimed, it can also trigger manual actions, so accuracy matters.
We implement Schema.org in JSON-LD across the page types that benefit — organisations, articles, products, FAQs, breadcrumbs and more — validate it against Google's requirements, and use it deliberately to strengthen entity and AI-search signals rather than as decoration.
Common questions
Straight answers on how this fits your marketing and build.
Structured data is not a direct ranking boost, but it can earn rich results that increase click-through, and it gives search and AI systems clearer signals about your content and entity. Those knock-on effects often improve real-world performance.
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