Schema Markup
Schema markup is structured data added to a web page — usually in JSON-LD format from the Schema.org vocabulary — that tells search engines and AI systems exactly what the content means.
Instead of making a machine guess that "4.8 (120)" is a rating with 120 reviews, schema states it explicitly. That precision powers rich results (star ratings, FAQs, breadcrumbs) and helps AI engines extract and cite your content accurately.
Common types for local businesses include LocalBusiness, Organization, FAQPage, Service, and Review. Missing or thin schema is a frequent, easily-fixed gap — and a strong talking point in an audit, because it directly affects both Google AI Overviews eligibility and Featured Snippet wins.
Frequently asked
Does schema markup help with AI search?
Yes. Structured data makes your content unambiguous to machines, which helps AI engines extract, trust, and cite it — supporting both AI Overviews and answer-engine visibility.
What format should schema be in?
JSON-LD is Google's recommended format. It sits in a script tag and is easier to maintain than inline microdata.
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