Structured Data Audit

Analyze the URL of your web page and find out which schema markup is used and if the structured data has been inserted correctly.

How to do a structured data audit?

The main goal of a schema audit is to ensure that your schema markup aligns with the best practices of Google and Bing and validates against their guidelines.

Additionally we want to make sure that the syntax is correct and validates against the vocabulary.

To get started you can simply add the url of your website here and press the “ANALYZE” button. This report is far from being exhaustive but aims at help you highlights the schema classes being used, if there are any validation issues and the technologies being used on the website that might contribute to the markup.

Are you ready for an in-depth review of your markup? Let’s talk!

How does this structured data audit tool work?

Here at WordLift we have carried out hundreds of structured data audits. With this free tool we automate part of the process by analyzing the homepage of any given website.

We are collecting different data points, including the markup found on the homepage, the entities being referenced and, when present, any validation error. We are constantly improving our tooling to help businesses rank higher on Google.

Keep visiting this page to find new updates and don’t hesitate to contact us to get help fixing issues with your markup.

What are some common schema markup errors?

Schema markup is a way of adding structured data to your web pages that helps search engines understand your content better. However, there are some common schema markup errors that can prevent your rich results from showing up correctly or cause validation issues in Google Search Console.

Some of these errors are:

  • Using incorrect or outdated schema types. Make sure that you are using the most appropriate schema type for your content. For example, don’t use product markup on a service page or a page representing a local business.
  • Implementing schema markup incorrectly. Be sure to follow the correct syntax and structure when implementing schema markup. For example, don’t forget to add quotation marks around values or commas between properties.
  • Using schema markup to manipulate search rankings. Don’t use schema markup to misrepresent your content or manipulate search rankings. For example, don’t add fake reviews or ratings to your pages.
  • Using too schema classes on the same. Always use the minimum required markup to help search engines understand your pages. Having Product markup, FAQ markup inside an Article will not help you rank higher.
  • Providing conflicting information to search engines. In some cases we have seen microdata expressing a price and a different price for the same product coming from the JSON-LD. Prevent inconsistency of any kind and keep your markup clean.

What are some best practices for implementing schema markup?

Some best practices for implementing schema markup on your web pages are:

  • Use the semantic vocabulary that provides a standard set of tags that can be used to mark up a wide variety of content types. Search engines like Google, Bing, and Yahoo prefer this.
  • Use JSON-LD format. JSON-LD is the recommended format by Google and is the easiest to implement. It allows you to add schema markup as a script tag in the head or body of your HTML document.
  • Be specific and only use necessary properties. Choose the most relevant schema type for your content and include only the properties that are required or recommended by Google. Avoid adding unnecessary or irrelevant information that might confuse search engines or users.
  • Avoid duplicating markups. Don’t use multiple schema types for the same content or repeat the same markup on different pages. This can cause conflicts or errors in your structured data validation.
  • Keep it simple. Don’t overcomplicate your schema markup with nested structures or complex syntax. Use simple and clear values that match your content and follow Google’s guidelines.