What is Schema Markup?
Schema Markup (Structured Data)
Schema markup is structured data code added to your pages to help search engines understand content. Enables rich results and AI citations.
- Schema Markup
- Schema markup is structured data code added to your pages to help search engines understand content. Enables rich results and AI citations.
Why Schema Markup matters
Common types: Article, FAQPage, Product, Review, HowTo, LocalBusiness, Organization. Implemented as JSON-LD in the page head. Google's Rich Results Test validates your schema.
Common mistakes with Schema Markup
- 1
Treating AI Overviews like the old SERP. As of 2026, AI Overviews appear on 47% of US searches and absorb 25-40% of click volume. The play is GEO (Generative Engine Optimization), not just rankings.
- 2
Chasing high-volume head terms instead of buyer-intent long-tail. A 200/month query with commercial intent beats a 20K/month informational query.
- 3
Ignoring schema. Structured data is the cheapest way to claim rich results, FAQ snippets, and AI Overview citations.
How to improve Schema Markup
Optimize for AI Overview citation: clear first 50 words, structured FAQ schema, named-entity rich content.
Audit page-by-page intent match. Reassign pages where search intent has shifted to competitor formats.
Build internal linking around topical clusters: hub pages link to spoke pages, spokes link to hub and to each other.
Common questions about Schema Markup
What is Schema Markup?▾
Why does Schema Markup matter for marketing teams?▾
Related terms
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