Required Fields

Schema Markup

We often get asked which properties are required for a Type. The answer depends on what you’re trying to accomplish with your Schema Markup and the outcome you’re trying to achieve.

Users are often trying to figure out what properties they should include because they want to:

  1. Achieve a rich result on Google
  2. Fix issues that appear on the Schema Markup Validator (SMV) or Google’s Rich Result Testing Tool. itself does not have any required fields. Therefore, it is important to decide what outcome you are trying to achieve from implementing Schema Markup before picking the right properties to utilize.

In this article, we will explore the vocabulary and help you understand which properties to use for your markup. Does not Require Fields is a standardized vocabulary. It provides a list of types and properties that you can use to describe the content on your site.

The closest comes to requirements are property restrictions so that you provide the expected values. For example, the description property on expects you to provide a text value for the property, while the offers property expects users to describe the Offer (another Type). Data Consumers Require Fields

The consumer of the applies requirements based on the use case.

Google’s Search Documentation for the Recipe Data Type lists several required and recommended fields. These properties are required in the markup to meet the needs of the Recipe Use Cases. If you are not interested in achieving a rich result, your markup is still valid if you don’t include the required properties.

Google SDTT Recipe Validation Error

Google SDTT Recipe Validation Error

Schema App Required & Recommended Fields

Many people find requires a steep learning curve, I believe it’s because there is so much choice. Nearly 600 data types and 800 properties can appear daunting for beginners. For most intents and purposes users want guidance for fields to prioritize their efforts.

While Schema App has had some validation rules for some time, e.g. Organization require Name, Logo, we have significantly extended the ruleset. We now have 211 rules that mirror Google’s Structured Data Search Documentation.

The Schema App Editor property layout is reorganized based on these rules, pulling up the required and recommended fields to the top, while the remaining properties specific to each class remain below. As before, you can still save data items without filling in required fields, it will show you a warning and ask for confirmation. Required & Recommend Fields Required & Recommend Fields


Moreover, we built rules into the Data Items report to quickly see errors and warnings.

Data Items Errors and Warnings

Data Items Errors & Warnings


At Schema App, we offer comprehensive schema markup reporting tools to make sure you are maximizing your results from structured data. Set up a strategy call with our technical experts today!

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Mark van Berkel, Schema App

Mark van Berkel is the Chief Technology Officer and Co-founder of Schema App. A veteran in semantic technologies, Mark has a Master of Engineering – Industrial Information Engineering from the University of Toronto, where he helped build a semantic technology application for SAP Research Labs. Today, he dedicates his time to developing products and solutions that allow enterprise teams to leverage Schema Markup to boost their SEO strategy and drive results.