What is Schema Markup?

Schema markup is structured data added to a page's HTML using a standardised vocabulary (schema.org) that helps search engines understand the specific meaning and context of the content on the page.

The most common implementation method is JSON-LD, which is explicitly recommended by Google. This is added as a script block in the head section of your page and does not affect the visible content for human users. Other methods include Microdata and RDFa, but these are less efficient and harder to maintain. By using this code, you provide search engines with a machine-readable layer of information that removes the need for them to guess what a page is about, effectively helping to populate the "Knowledge Graph" with verified data about your brand, products, and services.

This structured data enables several advanced features in the search results known as rich results. These include star ratings for reviews, price and stock information for products, and event dates. Beyond these visual enhancements, schema is also vital for how AI search tools and "Generative Search" (like Perplexity and Google AI Overviews) interpret your information. Visibility in these new areas is often the result of having clear, validated markup that allows an LLM to cite your page as a source for specific facts.

Common types of schema include Article for news or blog posts, FAQPage for structured questions, and LocalBusiness for geographical information. Ecommerce sites rely heavily on Product and BreadcrumbList markup to ensure their inventory is accurately represented. Advanced users may also implement "Speakable" markup for voice search or "Organization" schema to define their social profiles and logo to Google. Each type serves a specific purpose in building your digital context and improving your citation probability in AI search.

There is a strong connection between schema and AI citations. Structured data provides precise points that AI tools can query directly. Using FAQPage markup makes your answers easily extractable for conversational engines. More information on how to implement these technical signals can be found in our guide on structured data and schema markup. You should always use the Schema Validator and Google's Rich Results Test to ensure your code is error-free. This is one of the most powerful technical tools available for modern search dominance in the AI era.