Schema Coverage Audit:
Score Structured Data Across Every Page on Your Site
Crawl your entire site and score schema markup coverage page by page. Identifies missing schema types, thin implementations, and the specific pages where adding structured data would most improve your AI citation rate.
Most Sites Have Patchy Schema - This Finds the Gaps
A single well-implemented page rarely wins consistent AI citations. AI engines evaluate your site's schema as a whole - the consistency, coverage, and correctness across all your pages. Sites with patchy schema - some pages with it, most without - signal inconsistent quality. Consistent schema signals a site that takes structured data seriously.
Citerank's Schema Coverage Audit crawls every page on your site, checks for the presence and completeness of schema markup on each, categorizes the findings by page type and content area, and surfaces the highest-impact gaps - where adding or improving schema would most improve your AI citation rate.
How the Schema Coverage Audit Works
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Enter Your Domain or Sitemap
Provide your root domain or sitemap URL. The tool discovers all indexable pages and queues them for analysis.
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Per-Page Schema Extraction and Scoring
Every page is fetched and checked for JSON-LD, microdata, and RDFa. Each schema block is parsed, its type identified, its properties checked for completeness, and its correctness validated against schema.org specifications.
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Coverage Report with Priority Fix List
Results are aggregated into a site-wide coverage report: pages with no schema, pages with incomplete schema, pages with incorrect schema, and pages with strong schema. A priority fix list ranks pages by expected citation impact from adding or improving schema.
What the Schema Coverage Audit Covers
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Page-by-Page Schema Inventory
Lists every page, what schema types are present, and a completeness score for each - making it easy to see coverage at a glance.
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Missing Schema Detection
Identifies pages that should have schema (blog posts without Article, product pages without Product, service pages without Service) but don't.
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Thin Schema Flagging
Catches pages with schema that is present but incomplete - missing required properties, empty fields, or incorrect type assignments that reduce its citation value.
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Schema Validation
Validates all schema blocks against the Google Rich Results specification and schema.org requirements, flagging syntax errors, deprecated properties, and incorrect nesting.
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Priority Fix Ranking
Ranks every gap by expected citation impact - which missing or broken schema blocks are most likely to improve AI citation rates when fixed.
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Export to Implementation Queue
Exports the full gap list as a structured CSV or JSON file - formatted for import into a development sprint queue or content management workflow.
Who Uses the Schema Coverage Audit
- Technical SEOs conducting site-wide schema implementation reviews
- Developers verifying schema deployment after a site migration
- Content teams identifying which new articles need schema before publication
- Agencies delivering schema audits as part of AI visibility services
- E-commerce teams auditing Product schema across large catalogs
- Publishers auditing Article and FAQPage schema across content libraries
Frequently Asked Questions
What schema types does the audit check for?
The audit checks for all major schema types relevant to AI citation: Article, BlogPosting, FAQPage, HowTo, Product, Service, LocalBusiness, Organization, Person, WebPage, WebSite, BreadcrumbList, SpeakableSpecification, and more - with type-appropriate completeness checks for each.
Does the audit check all three schema formats?
Yes. The audit checks JSON-LD (the recommended format), microdata, and RDFa. JSON-LD is scored most favorably as it is Google's preferred implementation format.
What is the difference between missing schema and thin schema?
Missing schema means no structured data is present on a page. Thin schema means schema is present but incomplete - for example, an Article block without author markup, or a Product block without price or review data. Both reduce citation probability, but thin schema is often quicker to fix.
How many pages can the audit crawl?
Free accounts can audit up to 50 pages. Pro accounts audit up to 500 pages. Agency accounts support unlimited pages.
How does the priority ranking work?
Pages are ranked by a combination of estimated traffic (pages that rank for queries are weighted higher) and schema gap severity (missing schema on a highly-trafficked page ranks above thin schema on a low-traffic page).
Can I integrate the audit results with my CMS?
The JSON export format is designed for integration with CMS workflows. Citerank's WordPress plugin can consume the audit output and deploy fixes automatically for WordPress sites.