Algolia, an AI Search and Retrieval platform processing more than 1.75 trillion queries annually for over 18,000 businesses, has launched Dynamic Facets, a new AI-powered capability that automatically prioritizes the most relevant search filters based on shopper intent and search context. The feature aims to improve product discovery while reducing the manual effort required to manage search and merchandising experiences across large digital catalogs.
Algolia announced the availability of Dynamic Facets, a new capability that enhances search experiences by adapting product filters in real time based on user queries and browsing behavior.
Traditional ecommerce filtering often presents shoppers with static refinement options regardless of what they are searching for. As product catalogs expand and customer preferences evolve, these fixed filters can slow product discovery and create friction during the shopping journey.
Dynamic Facets addresses this challenge by automatically identifying and prioritizing the attributes most relevant to each search, helping customers locate products more efficiently while minimizing the need for ongoing manual filter management.
The feature dynamically ranks filtering attributes—such as brand, size, color, resolution, ingredients, or product specifications—according to the context of each individual search.
For example, shoppers searching for televisions can immediately see filters like screen size and display resolution, while customers browsing skincare products are presented with refinements such as ingredients, skin type, and product concerns.
Rather than relying on predefined filter hierarchies established during website implementation, Dynamic Facets continuously adapts based on changing inventory, search behavior, and consumer trends.
Egil Grønn, Search and Discovery System Lead at Elkjøp, said: “We see significant potential with Algolia’s Dynamic Facets feature to make filtering more responsive to how people actually shop. Rather than relying on a fixed order of filters, the experience can automatically prioritize the attributes that matter most in each category. For example, when someone searches for a television, screen size should not be buried at the bottom of the filter list. If shoppers consistently use that attribute, it should automatically rise to the top.”
According to Algolia, early implementations indicate that presenting the most relevant filters earlier in the shopping experience increases customer engagement.
In its strongest-performing deployments, Dynamic Facets improved filter clickthrough rates by 10% to 15%, with shoppers selecting products appearing two to three positions higher in search results.
The platform also captures insights into which filter values—such as brands, colors, sizes, and product attributes—receive the most engagement. Retailers can leverage this data to build additional search experiences, including quick-filter chips that reduce the number of steps required to refine search results.
Nate Barad, Vice President, Product & Technical Marketing at Algolia noted: “Shoppers instinctively turn to filters to refine search and move quickly from intent to product. But as language, trends, and customer expectations evolve at speed, static facets can hold retailers back and place unnecessary pressure on merchandising teams. Dynamic facets, powered by behavior and AI, adapt automatically to each shopper’s context, surfacing the most relevant refinement options in real time. The result is a faster, more intuitive discovery experience for customers, and a more scalable, efficient way for merchandising teams to deliver relevance without constant manual intervention.”
Algolia positions Dynamic Facets as part of the growing shift toward AI-powered digital commerce, where search and product discovery increasingly rely on contextual understanding and behavioral intelligence instead of static navigation.
The capability is particularly suited to retailers, online marketplaces, media libraries, and organizations managing extensive product or content catalogs with highly varied user searches.
Heather Hershey, IDC’s Senior Research Director for Digital Commerce & Agentic Commerce Strategies, added: “Dynamic Facets is compelling because it’s incorporated within an AI Search platform and applies AI and automation analysis to a very practical commerce problem: helping shoppers get from intent to product faster. Retailers do not need more novelty AI. They need capabilities that reduce friction, improve relevance, and make merchandising operations more scalable. Context-aware faceting is especially important as discovery moves from static navigation toward AI-enabled, behaviour-driven experiences.”
Dynamic Facets builds upon Algolia's existing faceting capabilities, including searchable facets, allowing organizations to combine manual merchandising controls with AI-driven automation for more adaptive search experiences.
About Algolia
Algolia is the leading AI Search and Retrieval platform, powering 1.75 trillion searches a year for more than 18,000 businesses. With a unified keyword and vector search and retrieval engine, Algolia delivers the world’s fastest and most scalable search and discovery technology. Companies rely on Algolia to build agentic, generative, and search experiences through tools like Agent Studio. With over a decade of innovation, Algolia is redefining retrieval-powered applications and the future of AI discovery.
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