Improve relevance
Customers will get better results using machine learning that automatically associates every query the the appropriate category in your catalog.
Query Categorization
Better relevance for every query
Query Categorization is a powerful feature that automatically associates a query with the appropriate category for better results.
Optimize results with category prediction
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.
Fast set up
Easy to set up, Query Categorization uses your catalog's facets and conversion events to build an AI model in minutes.
Tailored experience
Search results and dynamic product listings are continuously and automatically boosted based on real time search trends and visitor behavior.
Better results instantly
Fast ROI
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.
New insights into performance
With grouped analytics, you can easily compare related queries to simplify search optimization analysis and help manage the long tail of search queries
Full transparency and control
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.
Automatic filtering and boosting
Use Query Categorization by itself or in conjunction with the Algolia Merchandising Studio to automatically boost or bury results for any specific category.
Recommended content
5 strategies for responsible personalization
In today’s digital landscape, responsible personalization is key for online retailers. But how can businesses ensure they're respecting customer privacy while still enhancing the shopping experience?
Evaluating GenAI content for the optimum search experience
This paper is highly relevant to product teams, engineers, and decision-makers who are instrumental in shaping user experiences and optimizing search systems.
Delivering personalized search experiences in the era of heightened privacy
Laura Hamilton - Sr Vice President of Marketing - explores the delicate balance between personalization and privacy in online shopping.