Sch​​ema Markup Testing

Schema markup plays a crucial role in SEO, as it helps search engines comprehend the content on webpages more effectively. Fortunately, there are various tools designed to identify existing schema on a page and even allow for comparisons between different pages. These tools facilitate the analysis of any gaps in your current schema markup, ensuring that you provide comprehensive information to search engines.

Add URL or JSON-LD below and click View my Schema to see the Schemas on the page or code.

Website Schema Validator

πŸ’‘ Enter a domain name and we'll analyze all structured data markup for SEO
Analyzing website schema markup...
compare schemas between pages

Most common schemas discovered on pages

Schema Usage Statistics

Schema markup usage statistics from all validated websites

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Total Validations
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Unique Schema Types
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Domains Analyzed
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Most Popular Schema
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Frequently Asked Questions

How to compare pages with schemas?

Navigate to the schema comparison page add a URL of two pages you would like to compare and click on Compare schema, scroll down to see a which schemas are presented on each page and the structure of each schema, using this tool can help you get ideas of schemas that might be presented on your competitors page but not yours and might be relevant

How do you verify schema markup?

Verifying schema markup is like making sure your house has the right furniture. You need to check that everything is in the right place, and it's all working correctly.

To do this, you can use something called Structured Data Testing Tool. It will look at your website and tell you if everything is in order, or what needs to be fixed.

Schema markup testing tool user interface with validation button
Schema Markup Or Structured Data?

Schema markup and structured data are two distinct forms of metadata that are used to provide more meaningful context to web content. Schema markup is a type of microdata, which consists of HTML tags that are embedded within the existing HTML code on a webpage and can be used to annotate content. Structured data, on the other hand, is a more comprehensive form of metadata that involves the creation of an entire data model based on certain criteria.