Structured Data Validator & Auto-Fixer

Structured Data Validator & Auto-Fixer — Find and Fix Broken Schema Markup

Most websites have structured data errors they don't know about. A plugin adds LocalBusiness schema but forgets the required address object. A FAQPage schema has questions missing their acceptedAnswer. An Article schema has no author or datePublished. These errors are silently ignored by Google AI, ChatGPT, and Perplexity — your content never gets cited because your schema is technically invalid. This tool fetches your live page, extracts every JSON-LD block, validates each one against official schema.org rules, shows the exact fields causing errors, and then uses Claude AI to generate a corrected version ready to copy and paste directly onto your site.

Why Invalid Schema Silently Kills Your AI Search Visibility

Search engines and AI crawlers process structured data through strict validation pipelines. A single missing required field — like a FAQPage without mainEntity, or a LocalBusiness where address is a plain string instead of a PostalAddress object — causes the entire schema block to be discarded. Google's Rich Results Test will show "no rich results eligible." ChatGPT's crawler will skip the structured signals entirely. Perplexity won't cite you for location-based queries. The most dangerous part: your site looks fine to human visitors, so the problem goes undetected for months or years. This tool makes the invisible visible.

The Most Common Structured Data Errors in 2026

Based on analysis of thousands of local business websites, the most common schema errors are: (1) FAQPage schemas where each Question is missing acceptedAnswer.text — often generated by WordPress plugins that export empty answer fields. (2) LocalBusiness schemas where address is set to a plain string like "123 Main St Austin TX" instead of a PostalAddress object with addressLocality and addressRegion properties. (3) Article schemas missing author and datePublished. (4) Organization schemas with no url or sameAs links to social profiles — critical for AI knowledge graph recognition. (5) Completely invalid JSON caused by special characters, curly quotes, or encoding issues introduced by CMS editors.

Why This Tool Fetches Your Live URL Instead of Accepting a Text Paste

Most schema validators accept a text paste or a code snippet. This approach misses real-world errors. Your actual schema errors exist in the rendered HTML that AI crawlers receive — not in your source code. WordPress plugins inject schema at render time that never appears in your editor. Caching plugins sometimes strip or corrupt JSON-LD blocks. Theme updates override schema settings. Multiple plugins can output conflicting schemas that cancel each other out. By fetching your live page exactly as GPTBot and ClaudeBot would, this tool shows you the exact schema situation that AI engines encounter — not what you think is there.

Required vs Recommended Fields — What's the Difference?

Schema.org defines required fields and recommended fields separately. Required fields — like name for LocalBusiness or mainEntity for FAQPage — must be present or the schema is invalid. Recommended fields are technically optional but significantly improve your AI citation quality. For LocalBusiness, recommended fields include telephone, openingHours, description, and sameAs links. For Article, recommended fields include image, publisher, and description. This validator flags both — errors in red, warnings in amber — so you know which fixes are critical and which are enhancements.

How to Use the Auto-Fixed Schema

After the validator identifies errors and Claude generates a fixed version, you'll see a "Fixed Schema" tab on each block with errors. The fixed schema is wrapped in a proper <script type="application/ld+json"> tag ready to paste. Review the fixed schema and replace any placeholder values (like "Your Business Name" or "Your City") with your real business details. Then locate your existing broken schema in your website's source code or CMS settings and replace it with the corrected version. After deploying, use Google's Rich Results Test at search.google.com/test/rich-results to confirm no errors remain, then run our AEO & GEO Audit Tool to verify the corrected schema is detected.

Schema Types Validated — Required Fields