The SignalorAI Schema Validator is a free JSON-LD and Schema.org coverage checker that scans any public URL for structured data completeness. It detects 18 schema types including Organization, Product, Article, FAQPage, HowTo, BreadcrumbList, Event, Review, AggregateRating, LocalBusiness, SoftwareApplication, and more. The validator flags missing required fields by property name, identifies partial definitions that confuse language model parsers, and catches conflicting duplicate JSON-LD blocks that cause AI engines to discard structured data entirely. Complete, valid schema is one of the strongest signals generative engines use when deciding whether to cite, paraphrase, or attribute a page. The free scan covers one URL with no account required. Pro plans add site-wide coverage rollups per template and ready-to-paste JSON-LD fix snippets ranked by projected GEO score improvement.
Check JSON-LD coverage in seconds
Paste any URL and we'll scan the page for Organization, Product, Article, FAQ, and other JSON-LD schemas, flagging missing, partial, or malformed entries.
The validator checks 18 schema types including Organization, Product, Article, FAQPage, HowTo, BreadcrumbList, Event, and more. It surfaces missing required fields, partial definitions, and conflicting duplicate blocks that confuse AI engines and cost you citation opportunities. Free, no account needed.
Features
18 schema types
Organization, Product, Article, FAQ, HowTo, BreadcrumbList, and more checked automatically.
Field-level flags
Missing required fields highlighted with the property name so engineers fix fast.
Duplicate detection
Catch duplicate or conflicting JSON-LD blocks that confuse AI engines.
Exportable
Download a JSON summary of all findings for your engineering or SEO team.
The validator checks 18 types including Organization, Product, Article, FAQPage, HowTo, BreadcrumbList, Event, Review, AggregateRating, LocalBusiness, Person, WebPage, WebSite, SoftwareApplication, Course, JobPosting, Recipe, and VideoObject, covering the schema types most relevant to AI citation eligibility.
A partial schema is missing required fields that AI engines expect, for example, an Organization block without a 'url' or 'name', or a Product without 'offers'. Malformed schemas have syntax errors or conflicting duplicate blocks that cause language models to ignore or mis-parse the structured data.
Generative engines like ChatGPT, Gemini, and Perplexity use structured data to understand entities, verify facts, and establish authority before citing a page. Complete, valid JSON-LD helps language models identify who you are, what you offer, and why you are credible, all inputs that influence citation decisions.
The free tool scans one URL at a time. Signing up or upgrading unlocks site-wide coverage roll-ups that show schema consistency across every template, plus ready-to-paste JSON-LD fix snippets ranked by GEO score impact.
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Turn AI search into your highest-intent pipeline
Run a free GEO audit, track citations across models, and ship fixes that change how ChatGPT, Perplexity, and Gemini talk about you.
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