What Is Structured Data?
Structured data is a standardized format for providing information about a page and classifying its content. It is typically implemented using JSON-LD (JavaScript Object Notation for Linked Data) and follows the Schema.org vocabulary. Structured data helps search engines understand your content and can enable rich results (featured snippets, knowledge panels, FAQ dropdowns).
Why It Matters
Pages with structured data can appear as rich results in Google Search, which typically have higher CTR than standard results. Structured data also helps AI search engines understand your content's context, entities, and relationships. Missing structured data means missing opportunities for enhanced search presence.
How AuditMe Detects It
AuditMe parses all <script type="application/ld+json"> tags and validates: (1) presence of structured data, (2) schema type correctness (Organization, WebSite, Article, FAQ, BreadcrumbList, etc.), (3) required fields for each type, (4) consistency between structured data and visible page content, (5) no duplicate or conflicting schemas.
Example
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "What Is Structured Data?",
"author": {"@type": "Person", "name": "Eduard Tymchenko"},
"datePublished": "2026-08-31"
}
</script><script type="application/ld+json">
{
"@type": "Article"
}
</script>
<!-- Missing @context, headline, author -->Common Mistakes
- No structured data at all — missing rich result opportunities
- Missing @context: https://schema.org — invalid JSON-LD
- Structured data doesn't match visible page content — Google may ignore it
- Missing required fields for the schema type
- Duplicate schema types on the same page
- Using JSON-LD for content that doesn't exist on the page