Schema markup and structured data markup are related concepts in the realm of SEO (Search Engine Optimization) and website development. But they have some distinctions, distinct meanings and applications. Understanding the difference between the two can help clarify their roles in web development and SEO.

What is Structured Data Markup?

Structured data markup refers to the practice of organizing and clarifying content on a webpage in a specific, standardized format that is understandable by search engines and other data consumers. It involves using a predefined vocabulary to add metadata to the HTML code of a webpage. This metadata provides additional information about the page content, enabling search engines to understand the context and meaning of the data.

Structured data markup can be added to a webpage using a variety of formats, including microdata, JSON-LD, and RDFa. In addition, structured data can also enhance the appearance of a webpage in search results. Another benefit of structured data is that it can be used to enable voice search functionality as a part of voice search optimization. Likewise, it ensure that a webpage is accurately interpreted and presented by voice assistants. As a result, it improve the user experience and increase the likelihood of a user interacting with the website.

On the other hand, structured data can also be used to enable rich snippets and other types of enhanced search results features, such as recipe cards, product ratings and listings, and event listings. These types of features can attract more attention and improve the user experience ultimately leading to more web traffic and engagement for the website.

What is Schema Markup?

Schema markup or schema .org structured data vocabulary that helps search engine better understand the info on your website. It is a part of advance SEO and a specific type of structured data markup that uses the vocabulary provided by

Schema markup is a type of microdata that is added to a website’s HTML code to provide additional context and information about the page’s content to search engines. To add schema markup to a website, the HTML code must be edited to include the microdata. This can be done manually by a web developer. Or it can be automated using a tool such as Google’s Structured Data Markup Helper.

There are different types of schema markup that can be used for product, recipe, event, article, video and local business schema. Schema markup can also be used to display rich snippets in search results. What are rich snippets? Rich snippets are additional pieces of information that are displayed alongside a website’s search result, such as the price of a product or the author of an article. Each type of schema has its own set of properties that can be used to provide specific information about the page. 

Using multiple types of schema on the same page can be beneficial for a number of reasons. One reason is that it allows you to provide a more complete picture of the page to search engines. is a collaborative project between major search engines (Google, Bing, Yahoo, and Yandex) to create a common set of definitions for structured data markup.

In fact, schema markup is a subset of structured data, focusing on a standardized vocabulary for various types of content, such as products, events, recipes, and more.

Key Differences between Schema Markup and Structured Data Markup

  1. Scope and Definition:
    • Structured Data Markup: Broad term encompassing any method of adding metadata to a webpage in a structured format. It include various vocabularies and syntaxes (e.g., JSON-LD, Microdata, RDFa).
    • Schema Markup: A specific vocabulary defined by used for structured data markup.
  2. Vocabularies:
    • Structured Data Markup: Can use different vocabularies like, Open Graph, Twitter Cards, etc.
    • Schema Markup: Specifically uses the vocabulary from
  3. Usage:
    • Structured Data Markup: General practice used to improve search engine understanding and enhance SEO, applicable to various types of metadata. Used for a variety of purposes, from semantic web applications to search engine enhancements.
    • Schema Markup: Specifically designed to create rich snippets and enhanced search results by using vocabulary. Primarily used to improve search engine understanding and display of web content in SERPs.
  4. Syntaxes:
    • Structured Data Markup: Can be implemented using JSON-LD, Microdata, or RDFa syntaxes.
    • Schema Markup: Typically implemented using JSON-LD, but can also use Microdata or RDFa. Adheres to the standardized vocabulary provided by, though it can be implemented using different formats like JSON-LD or Microdata.

Example Comparison

Structured Data Markup (general example using JSON-LD):

htmlCopy code<script type="application/ld+json">
  "@context": "",
  "@type": "Person",
  "name": "Jane Doe",
  "jobTitle": "Software Engineer",
  "telephone": "(425) 123-4567",
  "url": ""

Schema Markup (specific example for a product using JSON-LD):

htmlCopy code<script type="application/ld+json">
  "@context": "",
  "@type": "Product",
  "name": "Samsung Galaxy S21",
  "image": "",
  "description": "Latest Samsung Galaxy S21 smartphone with advanced features.",
  "sku": "0446310786",
  "brand": {
    "@type": "Brand",
    "name": "Samsung"
  "offers": {
    "@type": "Offer",
    "priceCurrency": "USD",
    "price": "799.99",
    "itemCondition": "",
    "availability": "",
    "seller": {
      "@type": "Organization",
      "name": "Example Store"


In summary, while all schema markup is structured data, but not all structured data is schema markup. Structured data is the broader concept that encompasses various types of metadata annotating web content for better search engine comprehension. While schema markup is a specific method within that broader category. It follows the guidelines and vocabulary of to enhance search engine results and improve visibility.

Indeed, both are crucial for enhancing search engine understanding and improving SEO, but schema markup is particularly focused on creating rich, informative search results. Implementing schema markup on your website can significantly improve how your content is indexed and displayed by search engines. Moreover it potentially leads to higher click-through rates and better user engagement.