Search and discovery

You can use the Storefront API to complete the following tasks related to search and discovery:

• Storefront search: Surface the most relevant results in your store with Shopify’s AI-powered search.
• Predictive search: Provide customers with a typeahead search and suggestions feature in your custom storefront.
• Filters and facets: Use faceted filtering to filter products that interest customers the most.
• Track search analytics: Access valuable analytics data related to search. You can track metrics such as search terms, click-through rates, and conversion rates to gain insights into customer behavior and optimize your store’s performance.

The search query returns the most relevant search results for customers using machine learning and natural language processing techniques. Storefront search supports the following features:

• Typo tolerance: Search results for misspelled terms.
• Partial match: Yield relevant results for general search queries.
• Tolerance for no results: Display relevant products to avoid no search results.
• Buyability prediction: Search results based on clicks and likelihood to convert.
• Advanced customizations: With the Shopify Search & Discovery app, you can add synonym terms and boost products in the search results.

The predictiveSearch query lets customers refine their search to find what they’re looking for. Predictive search includes the following features:

• Typeahead search: Dynamic list of suggested search queries.
• Resource suggestions: Suggested collections, products, pages, and blog articles.
• Typo tolerance: Search results for misspelled terms.
• Partial match: Yield relevant results for general search queries.

The search query suppports filtering on attributes such as availability, product type, color, or other options to find the products that interest customers the most. You can query the available filters for products in a search result to build faceted filtering.

Tracking search analytics is an essential part of optimizing your store’s performance and increasing conversions. By tracking and analyzing search data, you can do the following:

• Measure storefront performance: Analyze top-performing search terms and how customers are navigating your store so that you can improve your store’s performance. You can access a set of reports in the Shopify Search & Discovery app.
• Improve search relevance: Shopify’s storefront search infrastructure uses product and customer interaction data to optimize your store’s performance. By tracking search analytics, Shopify’s search engine can identify search terms that are not returning relevant results and adjust search algorithms accordingly. This can help improve the relevance of search results and ensure that customers are finding the products they’re looking for.

Get familiar with the Storefront API by exploring guides that cover common use cases, and the complete reference for the GraphQL Storefront API.

search query

Consult the GraphQL Storefront API reference to learn more about the search query.

predictiveSearch query

Consult the GraphQL Storefront API reference to learn more about the predictiveSearch query.

Optimize your store’s performance with search tracking

Learn how to set up search tracking with the Storefront API and Hydrogen.

• The search and predictiveSearch queries are supported in the Storefront API version 2023-07 or higher.
• To take advantage of AI-powered search, you need to set up search tracking on your custom storefront to ensure that Shopify’s storefront search infrastructure can optimize your store’s performance based on product and buyer interaction data.

• Learn how to optimize your store’s performance with search tracking.
• Customize search, filters, and product recommendations using the Shopify Search & Discovery app.