Free Schema Validator: Test Structured Data for Google Rich Results

What Is a Schema Validator?

A schema validator is a diagnostic tool that crawls any webpage and checks its structured data markup against the schema.org vocabulary. It tells you whether your JSON-LD, Microdata, or RDFa is correctly implemented — and exactly what needs to be fixed.

Structured data acts as a direct signal to search engines like Google, Bing, and AI-powered tools like Google SGE and Perplexity. When your schema is valid, your pages become eligible for rich results — enhanced SERP features that show star ratings, FAQs, breadcrumbs, product prices, How-To steps, and more directly in the search listing.

Marcitors' Free Schema Validator works similarly to the official validator.schema.org tool — but adds a cleaner interface, actionable error explanations, and direct links to fix your markup using the Schema Markup Generator.

Why You Should Validate Your Schema Markup

1. Unlock Google Rich Results

Rich snippets — star ratings, FAQs, event cards, product prices — only appear when Google can verify your structured data is valid. Even a single missing required property can silently disqualify your page. Validation ensures you're eligible.

2. Catch Errors Before Google Does

Invalid structured data doesn't always throw visible errors on your site. Most schema issues are silent failures — your pages simply won't earn rich results, and you'll only discover it weeks later in Google Search Console. Validating proactively fixes this.

3. Increase Click-Through Rates

Pages with valid rich snippets consistently outperform standard blue-link results. Studies across industries show CTR improvements of 20–35% when rich results are active. Validation is the first step to capturing that advantage.

4. Improve AI & Voice Search Visibility

AI search engines (Google SGE, Perplexity, ChatGPT Search) and voice assistants (Google Assistant, Siri, Alexa) rely heavily on structured data to extract and cite factual answers. Well-implemented schema increases your chances of being cited in AI-generated responses.

5. Stay Ahead in Technical SEO Audits

Schema validation is a standard checkpoint in any serious technical SEO audit. Keeping your structured data error-free ensures your site stays in peak technical health as you add new content, run site migrations, or launch new page types.

How to Use the Free Schema Validator — Step by Step

Paste the full URL of any page you want to validate into the input field above. The tool works on any live website — your own pages, competitor pages, or any public URL.

Click Validate Schema. The tool fetches the page, extracts all structured data blocks (JSON-LD, Microdata, and RDFa), and runs comprehensive checks against schema.org standards.

You'll see a summary dashboard showing:

• Schema Types Found (Article, Product, FAQPage, BreadcrumbList, etc.)
• Error Count — critical issues that block rich results
• Warning Count — recommended improvements that boost eligibility
• Raw Schema Source — inspect the exact markup extracted from the page

Address errors first — these are blocking issues like missing required properties or malformed JSON. Then resolve warnings to maximize your rich result potential. Not sure how to fix your schema? Use our Schema Markup Generator to generate clean, valid code from scratch, then re-validate to confirm.

Supported Schema Types & Structured Data Formats

Markup Formats Supported

• JSON-LD — Google's recommended format; embedded in <script> tags, easy to add without touching HTML
• Microdata — Markup embedded directly in HTML attributes; detected and validated fully
• RDFa — Resource Description Framework in Attributes; fully supported

Schema Types Detected & Validated

Our validator detects and checks all major schema.org types including:

Tip: For checking whether your structured data qualifies for Google-specific rich results features, use Google's Rich Results Test alongside this tool. Marcitors validates full schema.org compliance; Google's Rich Results Test validates Google-specific eligibility.

Common Schema Validation Errors (and How to Fix Them)

1. Missing @context

Problem: Without "@context": "https://schema.org", search engines cannot interpret your structured data at all.

Fix: Always include @context as the first property in your JSON-LD block.

2. Missing Required Properties

Problem: Each schema type has required fields. For example, Product requires name and image; Article requires headline, author, and datePublished. Omitting required properties disqualifies rich results.

Fix: Check the schema.org documentation for your type, or use the Marcitors Schema Generator which pre-fills required fields.

3. Invalid or Unrecognized @type

Problem: Using a type that doesn't exist in the schema.org vocabulary (e.g., “BlogArticle” instead of “BlogPosting”) silently fails — no errors in your HTML, but no rich results.

Fix: Verify type names against the official schema.org types list.

4. Incorrect Date Format

Problem: Dates must follow ISO 8601 format (“2025-10-15”). Formats like “October 15, 2025” will fail validation.

Fix: Format all dates as YYYY-MM-DD or YYYY-MM-DDTHH:MM:SS+TZ.

5. Malformed JSON Syntax

Problem: A trailing comma, missing quotation mark, or unescaped character breaks the entire JSON-LD block. Schema in invalid JSON is completely ignored.

Fix: Run your JSON through a JSON linter, or use the Schema Generator to produce clean output.

6. Text Value Where an Object Is Expected

Problem: Providing "author": "John Smith" instead of the correct "author": { "@type": "Person", "name": "John Smith" } reduces data quality and may fail validation for some types.

Fix: Nest structured objects with their own @type and properties wherever schema.org expects an entity.

How Structured Data Affects AI Search & SGE Visibility

Structured data is no longer just a tool for traditional SERP rich snippets. In 2025–2026, AI-powered search engines and large language models are increasingly relying on schema markup to extract and surface accurate information.

• Google AI Overviews (SGE): Pages with valid FAQPage and HowTo schema are more likely to be cited in AI-generated answer panels.
• Perplexity & ChatGPT Search: These tools parse JSON-LD to build knowledge about entities — your organization, products, authors — and attribute answers accurately.
• Voice Search: Google Assistant, Siri, and Alexa extract structured answers from FAQPage and HowTo markup.
• Entity Disambiguation: Organization and Person schema with sameAs references (linking to Wikipedia, Wikidata, social profiles) help AI systems identify and correctly represent your brand.

Validating your schema isn't just about rich results anymore — it's about being findable and accurately cited across the entire AI search ecosystem.

Schema Validation Checklist for SEO Professionals

Use this checklist after validating any page:

Critical (Fix Immediately):

• No missing @context declaration
• All @type values match official schema.org types
• All required properties present for each type
• JSON is syntactically valid (no trailing commas, mismatched brackets)
• Dates formatted in ISO 8601

Recommended (Fix for Maximum Rich Result Eligibility):

• Author includes @type: Person with name and url
• Images include width, height, and url
• Products include offers, aggregateRating, and brand
• Organization schema includes logo, sameAs, and contactPoint
• BreadcrumbList present on all interior pages

Advanced (For AI & GEO Visibility):

• FAQPage implemented on pages with Q&A content
• sameAs properties on Organization/Person pointing to authoritative sources
• Article schema includes speakable for voice search
• WebSite schema includes potentialAction (SearchAction)