What is schema markup and why does it matter for SEO?
Schema markup works by giving search engines machine-readable context that plain HTML cannot provide. A page might mention a product price in text, but without a schema Price property, Google cannot reliably surface that price in a rich snippet. JSON-LD (JavaScript Object Notation for Linked Data) is Google's preferred format - it sits in a script tag in the page head and does not interfere with the visible HTML.
The SEO benefit is twofold. First, rich results take up more space in the SERP, pushing competing blue links further down. A review snippet with star ratings is far more eye-catching than a standard result. Second, for AI Overviews and answer engines, schema provides a structured signal about what authoritative information your page contains - making it more likely to be cited or quoted.
The most valuable schema types for most sites are: FAQPage (pairs of questions and answers - excellent for AEO), HowTo (step-by-step processes), Product (prices, availability, ratings), Article (headline, datePublished, author - critical for E-E-A-T signals), BreadcrumbList (navigation structure), and LocalBusiness (address, phone, hours).
Google's Rich Results Test lets you validate schema before deploying. Common errors include missing required properties, mismatched data (schema price different from on-page price), and markup that describes content not present on the page. A schema markup tester catches these issues instantly, so you do not have to wait for Google to flag them in Search Console's Enhancement reports.