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What is schema markup for dummies?

23 June 2026 · John Carlsson
Schema markup is structured data code added to your website's HTML to help search engines understand what your content actually means, not just what it says. Rather than a search engine inferring '4.5 stars' is a product rating, schema markup tells it explicitly. This allows search engines to display enhanced results like star ratings, prices, FAQs, or event dates in search listings (called rich results), improving visibility and click-through rates.

A genuinely simple analogy for understanding schema

Imagine you're describing your house to someone who has never seen it. You could say 'there's a big room with a stove and cabinets and a sink' and they'd eventually figure out you're describing a kitchen. Or you could just say 'this is the kitchen'. Schema markup is the equivalent of labelling rooms clearly rather than making someone infer from the description. You're not changing what's in the room — you're just making it unambiguous what kind of room it is, so the visitor doesn't have to guess. Search engines then use this clear labelling to understand exactly how to present your content to searchers.

What rich results actually look like in practice

Rich results are the visually enhanced versions of search listings you sometimes see in Google results. A standard result shows a page title, URL, and short description. A rich result might also show: star ratings with a review count (for products, services, or articles), a price and availability indicator (for products), an accordion of questions and answers that expand in the results page itself (for FAQ schema), step-by-step instructions (for HowTo schema), or event dates, times, and venues (for Event schema). Getting these enhanced displays requires the relevant schema type to be correctly implemented on the page — without schema, they're impossible regardless of what the page's visible content says.

The relationship between schema markup and AI

As AI-powered search tools become more prevalent, schema markup matters beyond just Google rich results. When an AI assistant summarises information from multiple websites to give a user a direct answer, it processes pages faster and more accurately when their content is explicitly labelled with structured data. A product page with clear Product schema is less likely to be misrepresented in an AI summary than one where the AI has to infer the product name, price, and specifications from unstructured prose. Schema markup has evolved from a tool for improving search result appearance to a tool for ensuring accurate AI interpretation.

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