Live Search, powered by Adobe Sensei

An AI-powered search tool that delivers smarter, faster and relevant results for B2C and B2B shoppers.

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 to 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 catalogue data, merchants can deliver lightning fast search results and personalised 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 personalise 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.

Product Recommendation

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

Download the extension at the marketplace.

Why Adobe Commerce Live Search

Data warehousing management

Fast, intelligent search results for B2C and B2B

Create rich search experiences to help shoppers find what they want — and what they didn’t know they needed — quickly.

Search-as-you-type results give shoppers results on each keystroke

Multiple filters let shoppers narrow their search quickly

Category search lets shoppers browse by categories — such as price, brand or ranking — instead of by keyword

Honours customer group-specific pricing and multiple catalogues for B2B businesses

Access SaaS price indexing capabilities that update catalogue price changes up to 90% faster

Simple merchant management

Everything you need to manage dynamic search and recommendations is right within the simple Commerce interface.

AI-supported workflows reduce manual inputs and automatically assigns facets, tags shop front pages and syncs catalogues

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

Adobe Sensei — industry-leading AI for personalised search

Leverage the power of Adobe Sensei AI to deliver personalised search results with speed and accuracy and reduce tedious, manual merchant tasks.

Easily set rules using AI algorithms such as "recommended for you," "trending," and "most viewed," to re-rank search results in real-time, personalised 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 analyses 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 optimise search experiences.

Filter metrics by impressions, views, clicks and more

Identify shopper behaviour with insights into queries, their variations and results and how queries fluctuate over time

Measure merchandising effectiveness with revenue attribution

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