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Structured Data Audit

Make your schema clear, valid, and citation-ready.

Karaya validates your structured data and highlights missing or conflicting schema so AI systems can confidently understand and cite your brand.

Why structured data matters for AI

Models prefer content they can verify. Clean, valid schema helps AI connect your site to real-world entities — improving both accuracy and citation trust. A missing Organization.description or invalid SoftwareApplication.offers can mean your brand is recognized but not cited.

Schema checks included

  • Validity: Detects broken or invalid JSON-LD fields.
  • Relevance: Confirms correct schema types (Organization, Product, Offer, BlogPosting, etc.).
  • Parsimony: Flags excessive or redundant markup that confuses models.
  • Evidence: Ensures entities link correctly (publisher, logo, image, description, sameAs).
  • AI-Citation Readiness: Tests whether schema supports clear entity relationships for citation.

Example findings

  • Missing Organization.description reduces disambiguation and entity confidence.
  • OfferCatalog incorrectly referenced from SoftwareApplication.offers — corrected to valid Offer list.
  • WebPage.publisher absent — added pointer to Organization node.
  • ItemList missing numberOfItems — prevents models from gauging completeness.
  • BlogPosting.wordCount missing — added for AI trust and transparency.

From issue to fix

Each schema issue includes a contextual recommendation, ROI score, and confidence factor — so you know which changes matter most for AI visibility.

  • See exact schema node and property affected.
  • Understand AI and SERP impact scores.
  • Copy patch-ready JSON suggestions.
  • Re-run audits to confirm validity and improved trust signals.

Audit your schema clarity

Validate and fix your structured data for better AI understanding, citation accuracy, and search consistency.

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