Frequently Asked Questions

Marqo is an AI native ecommerce search and product discovery platform built to increase conversion, average order value, and revenue. Marqo powers on site search, personalized recommendations, and merchandising optimization using an LLM trained on each retailer’s product catalog and real shopper behavior.

Marqo helps ecommerce teams improve product discovery by delivering more relevant search results, smarter recommendations, and continuously optimized ranking. By reducing friction in search and browsing, Marqo helps retailers drive measurable revenue impact from existing traffic.

Marqo differs from traditional ecommerce search platforms by training a dedicated large language model on each retailer’s catalog. Rather than relying on a shared AI system applied across many stores, Marqo builds catalog specific intelligence that deeply understands each retailer’s products, taxonomy, and brand context.

This catalog trained approach enables more precise intent matching, higher relevance across search and recommendations, fewer zero result searches, and measurable improvements in conversion, average order value, and revenue.

Marqo improves conversion by helping shoppers find the right products faster through intent aware search and relevance optimization. It increases average order value by delivering personalized product recommendations and optimized discovery experiences that surface more relevant products throughout the shopping journey.

Yes. Marqo includes personalized product recommendations that adapt in real time as shoppers browse and search. These recommendations are powered by catalog trained AI and behavioral learning to improve relevance and revenue performance.

Marqo combines a catalog trained large language model (LLM) with real time shopper behavior signals such as searches, clicks, and purchases. This allows the platform to continuously optimize relevance and personalization as customer intent evolves and inventory changes.

Marqo helps ecommerce teams solve common product discovery challenges including low on site search conversion rates, poor relevance in search results, high zero result search volume, difficulty matching shopper intent to the right products, manual merchandising workflows that do not scale, limited personalization across browsing and search experiences, and missed revenue opportunities caused by discovery friction.

By improving relevance and intent understanding, Marqo increases product findability, reduces shopper friction, and helps retailers drive higher conversion rates and revenue.

No. Marqo is not a vector database. Marqo is a complete AI native ecommerce search and product discovery platform designed to deliver measurable business outcomes. While advanced AI retrieval techniques are part of the underlying system, Marqo is built for ecommerce teams and revenue performance, not infrastructure management.

Yes. Marqo supports natural language ecommerce search, allowing shoppers to search using conversational queries. This improves product discovery by capturing intent that traditional search systems often miss.

Yes. Marqo is designed for mid market and enterprise ecommerce teams and supports large and complex catalogs, high traffic volumes, and performance requirements needed for modern ecommerce at scale.

Marqo integrates with leading ecommerce platforms including Shopify, Adobe Commerce, and Salesforce Commerce Cloud. Marqo also supports modern headless and composable commerce architectures.

Marqo is designed for rapid implementation with minimal disruption to existing ecommerce experiences. Timelines vary based on catalog size and integration requirements, but Marqo is built to deploy quickly and begin improving search and product discovery performance immediately.

Yes. Marqo provides merchandising and optimization tools that allow teams to guide ranking strategies while reducing manual work through automated relevance tuning and continuous performance optimization.