Live Search, powered by Adobe Sensei

Help customers find what they want quickly with AI-powered search results and category pages optimized in real-time.


Faster search results, smarter recommendations.

Shoppers who use site search are much more likely to buy something. While many shoppers are browsers, most don’t browse using navigation — they use keywords, categories, and look for relevant results to help them find just the right thing. But for merchants to surface that “just right” thing , it typically means hours of manual work entering backend rules and a fair bit of guesswork.

Adobe Commerce Live Search changes all that. By combining the industry-leading AI and machine learning of Adobe Sensei with catalog data, merchants can deliver lightning fast search results and personalized results on every shopper query. Sensei helps merchants identify facets for each query, saving time on manual rules. Sensei also uses algorithms such as "recommended for you," "trending", and "most viewed" to personalize search result rankings for each shopper in real-time.

Live Search is available exclusively for Adobe Commerce customers — and it’s free. Download the extension at the marketplace. | Live search

Live search is available exclusively for Adobe customers — and it’s free.

Download the extension at the marketplace.

Data warehousing management

Fast, intelligent search and browse results for B2C and B2B.

Create more relevant search and browsing experiences to help shoppers find what they want — as well as things they didn't know they wanted — quickly.

  • Search-as-you-type results give shoppers results on each keystroke
  • Multiple filters let shoppers narrow their search quickly
  • Honors customer group-specific pricing and multiple catalogs for B2B businesses
  • Intelligent Category Merchandising optimizes product sequencing on category pages to boost relevance and conversion.

Simple merchant management.

Everything you need to personalize search results, category pages, and product recommendations is within the easy-to-use Adobe Commerce interface.

  • AI-supported workflows reduce manual inputs and automatically assigns facets, tags storefront pages, and syncs catalogs
  • Rich rules let you easily boost, bury, pin, or hide products — you can even deploy experiences by event rules
  • Flexible synonyms allow the merchant to point shoppers to the right product
  • A robust toolset lets you modify search queries based on merchandising needs or KPIs
Data warehousing management
Data warehousing management

Flexible developer framework.

The user-friendly interface of Adobe Commerce Live Search empowers merchants with many drag-and-drop tools, but when back-end development is needed, the application is fully flexible.

  • GraphQL coverage and an API-first environment allows for headless content delivery
  • SaaS service implementation offloads intensive computational processing to Adobe Sensei rather than Commerce servers
  • No ElasticSearch provisioning or maintenance needed

Leverage the power of Adobe Sensei AI to deliver personalized search results and category pages with speed and accuracy while reducing tedious, manual merchant tasks.

  • Easily set rules using AI algorithms such as "recommended for you," "trending," and "most viewed" to re-rank search results and product sequencing in real-time, personalized to each shopper.
  • Intelligent faceting automatically returns the best search results — no manual faceting or filtering rules required
  • Automations save merchants from having to write long, complex search rules
  • AI intelligence analyzes every query, helping shoppers find what they want faster
Data warehousing management
Data warehousing management

Dedicated reporting.

Leverage reports to help you monitor performance, understand trends, and optimize search experiences.

  • Filter metrics by impressions, views, clicks, and more
  • Identify shopper behavior with insights into queries, their variations and results, and how queries fluctuate over time
  • Measure merchandising effectiveness with revenue attribution