Structured Data and Schema.org: A Practical Guide
Structured data is the backbone of GEO and rich results. Learn which schema types to use, how to implement JSON-LD, and how to validate it.
Structured data is machine-readable information about a page, written in Schema.org vocabulary and delivered as JSON-LD. It is the single most important technical layer for GEO and rich results.
Which schema types to use
- Organization — brand entity consistency.
- WebSite — site and search action.
- WebPage — page type and breadcrumbs.
- Article / BlogPosting — editorial content with author.
- FAQPage — question-answer pairs.
- HowTo — step-by-step processes.
- BreadcrumbList — navigation context.
- Product / SoftwareApplication — product entities.
How to implement JSON-LD
Inject a <script type=application/ld+json> block in the document head. Each block should accurately describe visible page content. Never add misleading or fake structured data.
Validation
Validate every JSON-LD block for correct types, required properties, and valid JSON. RankoraXPress flags missing schema, invalid JSON, and missing entity types in its technical audit.
Common mistakes
- Using schema that does not match visible content.
- Missing Organization and author entities.
- Forgetting FAQPage schema on FAQ sections.
- Invalid JSON that breaks parsing.
- Duplicate or contradictory entity information.
About the author
Sasha Lindqvist — Content & Schema Strategist
Sasha designs the content and schema frameworks that make pages machine-readable. She has authored structured data implementations for publishers and SaaS companies.
Expertise: Structured data, content quality, and FAQ strategy