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.

    Sasha Lindqvist 2026-08-05 8 min read

    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

    Audit your site in seconds

    Run a free SEO, AEO, and GEO audit. See exactly what to fix and why.

    No signup required · RankoraXPress