How SchemaValidator.org Works

Understand our AI-powered validation engine that analyzes your structured data against Schema.org standards and Google Rich Results requirements.

1

Input Analysis & Schema Detection

How we identify and parse your structured data

What We Accept

URLs:

We fetch and analyze live web pages

HTML Content:

Direct HTML input with embedded structured data

JSON-LD Blocks:

Raw schema markup for validation

Detection Process

JSON-LD Scanning

Locates all <script type="application/ld+json"> blocks

Microdata Parsing

Identifies itemscope and itemprop attributes

RDFa Analysis

Processes property and typeof attributes

2

Schema Validation Against Standards

How we ensure compliance with Schema.org specifications

Syntax Validation

  • • JSON-LD format compliance
  • • Required @context and @type
  • • Proper data types
  • • URL format validation

Property Validation

  • • Required vs recommended fields
  • • Property existence checks
  • • Data type validation
  • • Cross-property relationships

Schema-Specific Rules

  • • Article publication dates
  • • Product pricing structure
  • • Organization contact info
  • • Event date/time logic

Real-Time Validation

Our validation engine processes schemas instantly, checking against the latest Schema.org specifications and providing detailed feedback on any issues found.

3

Rich Results Eligibility Analysis

How we determine if your schema qualifies for enhanced search results

Eligibility Criteria

Required Fields:

Must be present for rich results eligibility

Recommended Fields:

Enhance rich results appearance and functionality

Optional Fields:

Additional context for search engines

Rich Result Types

FAQ AccordionsFAQPage
Product CardsProduct
Article CardsArticle
Recipe CardsRecipe
Event ListingsEvent
4

AI-Powered Educational Reporting

How we transform technical validation into actionable guidance

What Makes Our Reports Special

🎯
Actionable Language

Clear, non-technical explanations of what went wrong and how to fix it

💡
Smart Suggestions

AI-powered recommendations based on your specific schema and content

📚
Educational Links

Direct links to relevant Schema.org documentation and examples

Report Sections

Overall Status

Perfect/Great/Needs Work summary with emoji and explanation

Schema Details

Individual analysis for each schema found

Rich Results Status

Eligibility check with missing field indicators

Improvement Tips

Prioritized suggestions for better results

Our Technology Stack

Client-Side Processing

All validation happens in your browser for privacy and speed

🤖

AI-Powered Analysis

Smart pattern recognition and contextual error analysis

📊

Real-Time Validation

Instant feedback as you type or make changes

Ready to Validate Your Schema?

Now that you understand how our validation engine works, try it with your own structured data. We'll analyze it against Schema.org standards and provide detailed feedback.

Start Validating Now