WEBDARPAN ENGINEStructured Data & Schema Audit

Schema Markup Checker & JSON-LD Inspector.

Inspect JSON-LD structured data scripts, validate schema types, and discover entity attributes that help search engines and AI agents interpret your content.

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AUDIT CAPABILITIES

What This Analyzer Checks

Every check is evaluated by our deterministic engine according to Google standards and AI search requirements.

01

JSON-LD Script Discovery

Scans document head and body for <script type='application/ld+json'> blocks.

02

Schema Type Classification

Identifies Organization, WebSite, Article, FAQPage, Product, LocalBusiness, and BreadcrumbList types.

03

Syntax & JSON Validation

Detects malformed JSON syntax, trailing commas, and unclosed JSON-LD script tags.

04

Entity Attribute Completeness

Checks for required entity attributes like @type, @id, name, url, logo, and sameAs links.

05

Rich Snippet Eligibility

Evaluates eligibility for Google Search rich results, knowledge panels, and AI citations.

06

Schema Context & Vocabulary

Ensures valid @context declarations (https://schema.org) and standard vocabulary usage.

SEO IMPACT

Why Structured Data Powers Knowledge Graphs and AI Search

Structured data translates raw web content into machine-readable semantic facts. By implementing valid JSON-LD schema markup, you help Google, Bing, ChatGPT, and Perplexity recognize your organization, products, FAQs, and articles — qualifying your site for enhanced rich snippets and AI search citations.

ENGINE ARCHITECTURE

How WebDarpan Analyzes Your Site

Step 1

JSON-LD Extractor

Extracts and parses all JSON-LD blocks embedded in page source.

Step 2

Type Validator

Maps schema types against Schema.org standard class definitions.

Step 3

Entity Linkage Audit

Checks sameAs social profile URLs and brand identity links.

Step 4

Rich Result Eligibility

Verifies mandatory properties required for rich snippet display.

DETECTION EXAMPLES

Common Issues Discovered by This Analyzer

Illustrative examples of issues detected during deterministic audit analysis.

Unclosed JSON-LD Script TagCRITICAL

Invalid JSON syntax prevents search engines from parsing structured data on page.

Missing Required Property 'logo' in Organization SchemaHIGH

Organization schema lacks logo property, missing Google Knowledge Panel logo branding.

Invalid @context DeclarationHIGH

@context is not set to 'https://schema.org', invalidating schema type definitions.

No Structured Data FoundMEDIUM

Page contains 0 JSON-LD or Microdata blocks, missing rich snippet opportunities.

What You Receive in the Full Report

Schema & Entity Audit Score (0-100%)
Detected JSON-LD script tree breakdown
Missing property recommendations
Copy-paste validated JSON-LD schema code templates
DIRECT ANSWERS & FAQ

Frequently Asked Questions About This Checker

What is Schema.org structured data and why is it important?

Schema.org structured data provides explicit semantic clues about web content in JSON-LD format. It enables search engines and AI models to understand entities, organizations, and relationships, powering Google Rich Results.

Why is JSON-LD preferred over Microdata or RDFa?

Google officially recommends JSON-LD because it is encapsulated within a distinct <script> block, decoupling structured data from front-end styling and preventing syntax breakage during website redesigns.

Does valid schema markup guarantee Rich Snippets on Google?

No. Valid schema markup establishes technical eligibility for rich results, but Google displays enhanced snippets at algorithmic discretion based on query intent, domain authority, and guideline compliance.

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