If you are a business owner, entrepreneur or a company owner, understanding and implementing structured data markup in your business is the most. Without structured data, your product might just show up as a simple link in search results and affect to revenue and loss. But with structured data, it can look much more appealing and informative so that it increases possibility of turning visitor to customers.

To better understand about structured data markup you can go through this example. For eg. you have an online store selling a smart Speaker. Your product page of coffee maker with valid structured data appear in a graphical search result. Because the structured data labels each individual element of the product.

Users can search for your product by images, sizes, prize, ratings, direction to use, and so on. And your product page will appear at the first if you have entered the valid structured data. Further, it creates the likelihood of purchasing your products as well.

What is Structured Data Markup?

Structured data markup is a way to interpret web content to make it more understandable to search engines and other automated systems. By using a standardized format, such as Schema.org vocabulary, web developers can add specific tags to HTML that provide additional context about the information on the page.

Structured data is coded using in-page markup on the page that the information applies to. The structured data on the page describes the content of that page. All image URLs specified in structured data must be crawlable and indexable. Google Search understands multiple items on a page, whether you nest the items or specify each item individually:

For example, structured data can indicate that a piece of text is a review, a product description, an event, a recipe, or other specific types of content. This helps search engines like Google to better understand the content, which can improve the visibility and appearance of web pages in search results, often leading to rich snippets or other enhanced search features.

Key Benefits/ Importance of Structured Data Markup

Structured data markup is essential for several reasons, enhancing both user experience and website performance. Here are the key points highlighting its importance:

Enhanced Search Engine Results

By providing clear, detailed information, structured data can help web pages appear in rich results. Rich snippets can include elements like star ratings, images, prices, authors, and other additional information that make listings more attractive and informative. to users.

Improved SEO

Structured data improve a website’s visibility in search engine results pages (SERPs) by providing detailed context about the content. Better understanding by search engines can lead to higher rankings and increased organic traffic. Websites using structured data markup often have an edge over competitors not utilizing this technology.

Better User Experience

Structured data markup enhances the presentation of information in search results. For example, displaying product prices, availability, or reviews directly in search results helps users find the information they need more efficiently, improving their overall experience. Enhanced search results can provide more relevant information at a glance, improving the user’s search experience.

Voice Search Optimization

As the use of voice search grows, structured data becomes increasingly important. Voice assistants rely on structured data to provide precise answers to user queries. By using structured data, websites can ensure their content is more likely to be used in voice search responses, enhancing their reach and accessibility.

Boost Click-Through Rate (CTR)

Rich snippets and enhanced search listings often attract more clicks than standard results. Users are more likely to click on a result that provides additional information upfront, such as reviews, images, or event dates. Structured data can be displayed in the form of rich snippets within the SERP and increase the overall CTR (click-through rate) of the webpage. Whenever a web crawler visits a page, it also looks for any structured data that can be used for the visually enhanced snippet of that page in the search results.

Easier Content Integration

Structured data allows easier integration of content with third-party services and applications. For example, e-commerce websites can use structured data to integrate seamlessly with shopping platforms, comparison sites, and other services.

Consistency Across Platforms

Structured data ensures that content is presented consistently across various platforms and devices. Whether accessed via a desktop, mobile device, or voice assistant, the information remains coherent and well-structured.


As search engines and web technologies evolve, structured data ensures that content remains relevant and easily accessible. Investing in structured data markup now prepares websites for future developments in search technology and digital content consumption.

Supported Formats of Structured Data Markup

Google Search supports structured data in the following formats, unless documented otherwise. In general, we recommend using a format that’s easiest for you to implement and maintain (in most cases, that’s JSON-LD); all 3 formats are equally fine for Google, as long as the markup is valid and properly implemented per the feature’s documentation.

JSON-LD (JavaScript Object Notation for Linked Data)

JSON -LD is a popular and recommended format by Google that is easy to implement and maintain. A JavaScript notation embedded in a <script> tag in the <head> and <body> elements of an HTML page. The markup is not interleaved with the user-visible text, which makes nested data items easier to express, such as the Country of a Postal Address of a Music Venue of an Event. Also, Google can read JSON-LD data when it is dynamically injected into the page’s contents, such as by JavaScript code or embedded widgets in your content management system. Here is an example of of JSON-LD structured data for a recipe:

  • <script type=”application/ld+json”>
  • {
  • “@context”: “https://schema.org”,
  • “@type”: “Recipe”,
  • “name”: “Chocolate Chip Cookies”,
  • “author”: { “@type”: “Person”, “name”: “Jane Doe”
  • },
  • “datePublished”: “2023-06-18”,
  • “description”: “Crispy on the outside, chewy on the inside, these cookies are the best.”,
  • “prepTime”: “PT15M”,
  • “cookTime”: “PT10M”,
  • “totalTime”: “PT25M”,
  • “recipeYield”: “24 cookies”,
  • “recipeIngredient”:
  • [ “1 cup butter”, “1 cup sugar”, “2 cups flour”, “1 cup chocolate chips” ],
  • “recipeInstructions”: [
  • “Preheat the oven to 350°F.”,
  • “Cream together the butter and sugar.”,
  • “Add the flour and mix.”, “Stir in the chocolate chips.”,
  • “Drop by spoonfuls onto a cookie sheet.”, “Bake for 10 minutes.”
  • ],
  • “aggregateRating”: { “@type”: “AggregateRating”,
  • “ratingValue”: “4.5”,
  • “reviewCount”: “89”
  • }
  • }
  • </script>


An older method that embeds the structured data directly within the HTML tags. An open-community HTML specification used to nest structured data within HTML content. Like RDFa, it uses HTML tag attributes to name the properties you want to expose as structured data. It is typically used in the <body> element, but can be used in the <head> element too.

RDFa (Resource Description Framework in Attributes)

RDFa is a method that extends HTML5 with additional attributes for annotating web content. An HTML5 extension that supports linked data by introducing HTML tag attributes that correspond to the user-visible content that you want to describe for search engines. RDFa is commonly used in both the <head> and <body> sections of the HTML page.

Importance of Structured Data in Ecommerce Websites

Structured data markup plays a crucial role in enhancing the performance and visibility of e-commerce websites. In an e-commerce website it helps search engines better understand and display information. Structured data can enable rich snippets in search results, which might display product images, prices, ratings, and availability directly in the search results. Enhanced listings with more detailed information can lead to higher CTRs, as users are more likely to click on results that provide clear and useful information at a glance.

Similarly, structured data markup enables products appear in Google’s rich results features, such as product carousels, which give them more prominent placement on search results pages. Structured data helps with voice search queries, as search engines can better interpret and retrieve precise answers from the data. Implementing structured data markup effectively can significantly enhance the performance and visibility of an e-commerce website, leading to increased web traffic and sales. This makes the listing more attractive and informative. Lets dive into details.

1. Providing Detailed Product Information

Structured data markup allows e-commerce websites to provide detailed information about their products directly to search engines. This information can include:

  • Product Name
  • Price
  • Availability (in stock, out of stock)
  • Brand
  • Reviews and Ratings
  • SKU (Stock Keeping Unit)
  • Images

2. Enhancing Product Listings in Search Results

With structured data, search engines can display rich snippets for product pages. These rich snippets can include star ratings, prices, and availability, making the search result more appealing and informative to potential customers.

3. Boosting Visibility in Google Shopping and Other Platforms

Structured data helps products appear in specialized search results like Google Shopping. By providing clear and comprehensive product details, e-commerce websites can ensure their products are easily discoverable on various shopping platforms.

4. Facilitating Local Business Listings

For e-commerce sites with physical stores, structured data can include information about store locations, opening hours, and contact details. This can help in local SEO, making it easier for customers to find and visit physical stores.

5. Enabling Rich Search Features

Google and other search engines use structured data to enable features like product carousels and knowledge panels. These features provide a more engaging and interactive search experience, potentially leading to higher click-through rates.

6. Improving Click-Through Rates (CTR)

Rich snippets that include detailed product information can improve the CTR from search results. When users see relevant and rich information directly in the search results, they are more likely to click through to the website.

7. Voice Search Optimization

As voice search becomes more prevalent, structured data helps ensure that product information is easily accessible to voice assistants. This increases the likelihood of e-commerce products being recommended in voice search results.

How structured data markup works in e-commerce website?

Adding Specific Tags: Web developers add specific tags to the HTML of product pages using a standardized format like JSON-LD, Microdata, or RDFa. These tags define the type of content and its attributes (e.g., product name, price, availability).

Schema.org Vocabulary: Most e-commerce sites use the Schema.org vocabulary, a set of agreed-upon terms that standardize the way information is marked up. For example, a product page might use tags like Product, Offer, Aggregate Rating, and Review.

Enhanced Crawling and Indexing: Search engines crawl the site and read the structured data. This helps them understand the context and details of the products more accurately than plain HTML

Thus, we conclude the post by suggesting users to Implement structured data markup effectively and significantly to enhance the performance and visibility of an e-commerce website leading to increased traffic and sales.