MarketingWhat is Marqo?
Marqo is an AI-native ecommerce search and product discovery platform built to turn product discovery into revenue. Designed for mid-market and enterprise retailers, Marqo powers high-performing on-site search, recommendations, and merchandising with AI that learns directly from each retailer’s unique product catalog. Unlike traditional site search tools that rely on generic ranking models, Marqo trains a dedicated AI model per customer, enabling a deeper understanding of product attributes, brand context, and shopper intent. The result is faster product discovery, more relevant search results, and personalized recommendations that drive measurable improvements in conversion rate and average order value. Built for ecommerce at scale, Marqo supports large and complex catalogs and integrates with platforms including Shopify, Adobe Commerce, and Salesforce Commerce Cloud. Trusted by brands such as Redbubble, KICKS CREW, and Fashion Nova, Marqo helps retailers unlock measurable revenue impact from every search and browse session.
Marqo is a tool in the Search category of a tech stack.
Key Features
State of the art embeddingsScale to hundred-million document indexes with horizontal index shardingVector generation, storage, and retrieval are provided out of the box
Marqo Pros & Cons
Pros of Marqo
No pros listed yet.
Cons of Marqo
No cons listed yet.
Marqo Alternatives & Comparisons
What are some alternatives to Marqo?
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
Apache Solr
It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
