Rule-based, not hand-wavy
Every schema issue maps to a missing or weak property, not a vague AI “content score.”
TechRounder Technical SEO Tool
CiteCheck: Validate Schema Markup and Structural Citation Readiness
Paste JSON-LD or page HTML for a fully private audit, or let CiteCheck fetch a public URL and extract its structured data. The result separates schema correctness from AI-citation structure so you can see what is actually broken.
Two scores, not one blur
Schema Validity and AI-Citation Structure stay separate because they measure different things.
Built for implementation
The output tells you what to fix first and why, instead of just saying the page is “weak.”
Run the Audit
Paste Mode is the default because it is private and immediate. URL Mode is there when convenience matters more than keeping the HTML local.
URL Mode fetches the page content in memory only. It is not stored after the audit response is built.
Rich Result Preview
The preview is an approximation of how the structured data could surface if the implementation is complete and eligible.
Run an audit to render the schema-type preview here.
Detected Types and Gaps
Detected schema types, property coverage, and structural citation signals appear here.
What CiteCheck Measures
Schema property coverage
Required properties count more heavily than recommended ones, so the score reflects implementation risk, not just polish.
Visible answer structure
The AI-citation score looks at headings, direct answers, dates, authorship, and paragraph chunking with transparent heuristics.
Mismatch warnings
If schema and visible page structure do not line up, CiteCheck surfaces that instead of pretending the markup is enough on its own.
Need this fixed on a live site?
Use the audit as a technical brief for schema and content cleanup.
CiteCheck is strongest when it narrows the real implementation gaps fast. If the result shows required-property misses, FAQ mismatches, or weak answer structure, the next move is a content and markup pass inside WordPress.