Shopify Structured Data: Why and How To Add It 

Ever wonder how some Shopify stores get rich snippets—like product seeding, ratings, price, or stock status, Shopify structured data—right on Google search results? The secret lies in structured data. In this article, we’ll break down what structured data is, why it’s important for your store’s SEO, and how to add it to your Shopify site without hassle. Whether you’re aiming for better visibility or more clicks, this is your go-to guide.

 

What Is Structured Data?

Structured data is a consistent format of code used to help search engines understand the content on a webpage. It can indicate whether a page contains information about a product, business, review, article, or other topics. Among the various formats available, JSON-LD is the most widely used and simplest to implement.

Below you can see an example of what structured data in JSON-LD looks like:

Shopify Structured Data

You can see how the code emphasizes important page information like the name, author, description, and page type in the structured data above. Structured data accomplishes this. This important information is readily highlighted in a search engine-readable way.

 

Why adding Shopify structured data is a must for your store

Shopify structured data plays a critical role in how your Shopify store communicates with search engines. Without it, Google may struggle to understand what your content is really about—resulting in missed opportunities for higher rankings and visibility.

By implementing structured data, you’re enabling rich results such as product ratings, prices, availability, and breadcrumbs to appear directly on Google’s search results. These enhancements not only make your listings more informative but also more eye-catching, increasing click-through rates and driving more qualified traffic to your store.

Structured data also builds trust. When Google can clearly identify your store’s content—like your product pages, reviews, and articles—it’s more likely to display them accurately and prominently. In competitive markets, this extra layer of optimization gives your store an edge.

In short, structured data helps your products speak Google’s language—so your content gets found faster, understood better, and clicked more often.

 

How to implement structured data on Shopify

When it comes to implementing Shopify structured data, you’ve got a few options.

1. Use a Shopify SEO App 

For most merchants, the simplest and safest option is to use a dedicated SEO app that automatically adds structured data to your store using the recommended JSON-LD format.

  • SearchPie: This app not only audits your site for SEO performance but also auto-generates Shopify structured data like product, article, and review schema. It’s beginner-friendly, runs in the background, and ensures your data is always up-to-date and compliant with Google’s guidelines.

shopify-seo-apps-searchpie
Features:

    • Smart SEO reporting: keeps you informed of all SEO-related issues through intelligent reports
    • AI-powered SEO and traffic boosting: utilizes ai-generated content, as well as bulk meta tags and alt tags, to optimize for search engine rankings
    • page speed optimization: features like instant page, AMP, and image compression are available to speed up your website’s load time.
    • URL management for credibility: automatically detects and navigates long and 404 URLs
    • Rich snippets via JSON-LD: makes your site more readable to search engines 

Pricing:

    • Premium Plan: $39/month
    • Enterprise Plan: $79/month

 

  • Avada SEO Speed Image Optimize: Another popular choice, Avada creates structured data for your products, collections, blogs, and more—without requiring any coding skills. It ensures that your content is easily readable by search engines.

shopify-seo-apps-avada

These tools are great for merchants who want a plug-and-play solution that improves visibility without technical complexity.

Key Features:

    • Instant page speed and score booster: image optimization, smart speed, lazy load
    • Optimize SEO ranking: meta tags, local business, Google structured data
    • Automated SEO audit: for products, collections, blog posts, and other pages
    • Broken link management: broken link detection, page redirection, 404-page handling
    • SEO reporting: identification of SEO issues, automated email notifications, image optimization

Pricing:

    • Free Plan
    • Pro Plan: $34.95/month
    • Enterprise Plan: $79.95/month

Which Structured Data Types Work The Best For Shopify?

There are many various kinds of Shopify structured data, which is one of the reasons it’s such a popular topic. Selecting the structured data that is most pertinent to your website for Schema.org can frequently feel daunting. Although there isn’t a one-size-fits-all approach to SEO, there are general recommended practices for tagging Shopify websites.

 

Overall, we find these to be the best structured data mappings for Shopify sites:

  1. Home Page: Organization
  2. Collection Pages: CollectionPage / OfferCatalog, BreadcrumbList
  3. Product Pages: Product, BreadcrumbList
  4. Blog Posts: Article

Let’s dive a little deeper into each one and how they help:

Organization

Organization schema tells Google that your page represents some type of business. Next, it provides Google with details about your company, including your name, address, phone number, and website. An illustration of an organizational schema is shown below:

In general, placing the organization schema on the main page of the website is generally the best practice. Nonetheless, a lot of websites make the error of including it on each page. Because it indicates to search engines that your company is the main topic of each page on your website, this is not best practice. Rather, you would like your schema to pinpoint the most precise subject matter of your page.

 

CollectionPage / OfferCatalog

Structured data is rarely added to eCommerce site category pages. Since category pages contain information that is unquestionably worth marking up, I think this is a lost opportunity with many websites.

Enter the schema types OfferCatalog and CollectionPage.

You can markup important details about the product listings that show up on category pages, like the product name, URL, price, and page position, using these structured data types. Here is an illustration of a CollectionPage schema, for example:

 

And here you can see an example of OfferCatalog schema that’s injected through the “Total Schema Markup App

Which one you choose is up to you but be sure you’re implementing only one instance of CollectionPage or OfferCatalog schema per page. Both schema types shouldn’t be present on every collection page.

 

BreadcrumbList

BreadcrumbList structured data is a schema type that highlights your breadcrumb internal links to Google. Google is notified by this structured data that the horizontal links are indeed a component of a breadcrumb element. Additionally, Google can learn more about your site’s overall hierarchy and the parent/child relationship between your category and subcategory pages from structured data in a breadcrumbList. You should try to include breadcrumb internal links on both collection and product pages, as they typically show up on both.

For example, here’s a set of breadcrumb internal links on Staples.ca, which uses Shopify:

Please be aware, though, that it can occasionally be challenging to implement BreadcrumbList structured data on Shopify. Breadcrumb strings can get very long when products are linked to a lot of different collections. Because the product is linked to numerous collections, we have seen instances where a page has more than 20 breadcrumb links. Therefore, if you want to incorporate breadcrumbs and BreadcrumbList structured data into your website, you must make sure that all of your products are tightly taxonomized.

 

Product

On Shopify sites, product structured data is typically regarded as the most important structured data type. This is due to the fact that it provides Google with a lot of product data. This contains details like:

  1. Product name
  2. URL
  3. Price
  4. Availability
  5. SKU
  6. Description

Below, you can see an example of “Product” structured data appearing on a Shopify product page:

Naturally, this enables Google to display rich review star results straight in the search engine results pages. Additionally, Google frequently displays additional product information, like reviews and price, right in the SERPs.

Article

“Article” structured data is the final structured data type that we typically suggest for Shopify websites. News articles, manuals, and blogs can all be marked up with this kind of schema.

Article schema highlights information such as:

  1. headline
  2. URL
  3. datePublished
  4. dateModified
  5. description

For this reason, Article structured data is a perfect fit for Shopify blogs. You can find an example of “Article” schema here:

 

Conclusion

Shopify structured data isn’t just a technical detail—it’s a powerful SEO tool that helps your Shopify store stand out on Google. By enabling rich snippets like product ratings, prices, and availability, it boosts your visibility and encourages more clicks from potential customers. Whether you choose a Shopify SEO app like SearchPie or Avada, consult an expert, or add schema manually, implementing Shopify structured data is a smart move toward a more discoverable, trustworthy, and competitive online store. Start small, stay consistent, and let your products speak Google’s language.