Structured Data
Is Your JSON-LD Helping or Hurting Your AI Visibility?
Structured data lets a machine verify entities and facts instead of inferring them from prose. Answer Patch checks whether your site publishes valid JSON-LD — Organization, LocalBusiness, FAQPage, BreadcrumbList, and similar schema.org types — and flags schema that is malformed or contradicts visible page content, which counts against you just as much as schema that is missing outright.
The audit
What Gets Checked
- Organization or LocalBusiness schema: does your site declare who you are in machine-readable form?
- FAQPage schema: do question-and-answer pairs on the page have matching structured data?
- BreadcrumbList schema: do navigation paths help machines understand your site hierarchy?
- WebSite and Article schema: are these present where they apply?
- Schema validation: is existing JSON-LD well-formed, or does it contain parse errors and missing fields?
Why it matters
Why Structured Data Matters for AI Search
AI systems use structured data as a trust shortcut — when the JSON-LD on a page confirms what the prose says, the AI treats that source as more reliable.
But malformed schema or schema that contradicts visible content actively hurts: it signals that the site's machine-readable layer can't be trusted, which can push an AI to cite a competitor whose schema is clean. Missing schema is a missed opportunity; broken schema is a penalty.
Example findings
What a Scan Might Find
- High
No JSON-LD detected on any crawled page
- Medium
Organization schema is missing sameAs links and logo URL
- Medium
FAQ content on the page has no matching FAQPage structured data
Illustrative examples — not from a real scan.
Other audit pillars
See how your site scores on Structured Data
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