Improve relevance
Customers will get better results using machine learning that automatically associates every query the the appropriate category in your catalog.
Query Categorization is a powerful feature that automatically associates a query with the appropriate category for better results.
Powered by a new machine learning model, Query Categorization will automatically associate a search query with the appropriate category in your catalog to deliver better, more relevant results for your customers.
Customers will get better results using machine learning that automatically associates every query the the appropriate category in your catalog.
Easy to set up, Query Categorization uses your catalog's facets and conversion events to build an AI model in minutes.
Search results and dynamic product listings are continuously and automatically boosted based on real time search trends and visitor behavior.
Better category prediction leads to more accurate results and better outcomes your customers. Early users of Query Categorization have seen immediate improvements such as a 22% conversion rate lift and 15% revenue boost.
With grouped analytics, you can easily compare related queries to simplify search optimization analysis and help manage the long tail of search queries
In the dashboard, you can you see which queries are being associated with each category, and you'll have override capabilities to change, delete, or create new category associations.
Use Query Categorization by itself or in conjunction with the Algolia Merchandising Studio to automatically boost or bury results for any specific category.
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