What Is Marqo?

Marqo is an AI-native ecommerce search and product discovery platform. It helps retailers turn product discovery into revenue by making it easier for shoppers to find the right products.

Marqo powers on-site search, product recommendations, and merchandising experiences for mid-market and enterprise retailers. Its goal is simple: improve relevance, increase conversion, and grow revenue.

Today’s shoppers do not search with perfect keywords. They use natural language, vague descriptions, style references, and incomplete ideas. Traditional keyword-based search struggles with this behavior. Marqo is built for this new reality. It understands both product context and shopper intent, delivering search results that feel intelligent and personalized.

What Marqo Does?

Marqo improves how shoppers discover products across an ecommerce site. It powers search experiences that understand natural language, recommendations that adapt to shopper behavior, and category pages that rank products intelligently.

Instead of relying on static rules or manual tuning, Marqo continuously learns from each retailer’s catalog and from real shopper interactions such as clicks and purchases. This makes product discovery smoother and more relevant.

When shoppers find what they want faster, they are more likely to buy. That is how Marqo drives measurable improvements in conversion and average order value.

What Problems Does Marqo Solve?

Many ecommerce teams struggle with search that does not perform. Shoppers see irrelevant results. Queries return zero results. Merchandising requires constant manual effort. Personalization is limited or inconsistent.

Retailers spend heavily on customer acquisition, but revenue is lost when shoppers cannot easily find the right products.

Marqo fixes this by improving product findability and aligning results with real shopper intent. The result is better engagement, stronger conversion, and higher revenue performance.

How Marqo Works?

Marqo is built on catalog-trained AI.

Instead of using a single shared model across many retailers, Marqo trains a dedicated large language model on each retailer’s catalog. This means the system learns the specific attributes, taxonomy, brand language, and product relationships unique to that business.

Because the model is trained on the retailer’s own products, it understands nuance. It can interpret complex or vague queries more accurately. It understands how products relate to each other and how shoppers move through the catalog.

Marqo also learns from behavioral data such as clicks, purchases, and browsing patterns. Over time, relevance continues to improve.

How Marqo Is Different?

Most ecommerce search platforms rely on keyword matching, static rules, and manual adjustments. Even many AI-based systems apply the same generic model to every retailer.

Marqo takes a different approach. It builds catalog-specific intelligence for each customer.

This allows Marqo to deliver more accurate search results, stronger personalization, fewer zero-result queries, and better discovery performance overall.

Marqo is built specifically for ecommerce. It is not a general infrastructure tool. It is a commerce-focused platform designed to improve search and product discovery outcomes.

Who Marqo Is For?

Marqo is designed for mid-market and enterprise ecommerce retailers with large or complex product catalogs.

It is especially valuable in categories where nuance matters, such as fashion, beauty, home goods, and electronics. In these industries, small differences in style, material, or intent can significantly impact what shoppers expect to see.

Marqo is built for teams that want to improve search conversion, reduce manual merchandising effort, and deliver better personalization at scale.

Marqo Cloud

Marqo Cloud was introduced as a hosted deployment option for Marqo. As Marqo evolved into an AI-native ecommerce search and product discovery platform, our focus expanded beyond infrastructure to delivering a complete commerce solution, including catalog-trained intelligence, personalization, and revenue-driven optimization. Marqo Cloud remains available for existing customers, while Marqo’s product roadmap is now centered on the next generation of ecommerce search and discovery.

Marqo’s Evolution

Marqo started as a next-generation AI search platform built to outperform traditional search systems. From day one, the mission was clear: build the most powerful relevance technology on the market.

As we worked closely with ecommerce teams, one thing became obvious. Product discovery is not a generic retrieval problem. It is a revenue problem. Winning requires AI that understands each retailer’s catalog, brand context, and shopper intent at a deep level, and continuously improves through real shopper behavior.

Marqo evolved into exactly that.

Today, Marqo delivers best-in-class ecommerce search and product discovery powered by catalog-trained AI. We train a dedicated large language model on every retailer’s catalog, creating intelligence that is unique to each business. This approach drives higher relevance, stronger personalization, and measurable conversion impact that legacy platforms and generic AI systems cannot match.

Marqo is built to lead the next generation of ecommerce discovery. Not by incrementally improving search, but by redefining what modern product discovery should be.

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Frequently Asked Questions

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How is Marqo different from traditional ecommerce search?

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 understands each retailer’s products, structure, and brand context.

This approach enables deeper intent understanding, more accurate relevance, fewer zero-result searches, and measurable improvements in conversion and revenue.

What does it mean that Marqo trains a model on each retailer’s catalog?

It means Marqo does not use a one-size-fits-all ranking system. Marqo learns directly from your product data, including product titles, descriptions, attributes, taxonomy, and catalog structure. This creates a dedicated model that understands your catalog in the same way your merchandising team does.

The result is search and discovery that reflects your products, your brand language, and how your shoppers browse and buy.

Is Marqo a vector database?

No. Marqo is an AI-native ecommerce search and product discovery platform built specifically for retailers. While Marqo uses modern AI techniques behind the scenes, it is designed as a complete commerce solution that powers search, recommendations, and merchandising optimization.

Marqo is built to drive business outcomes like higher conversion and increased revenue, not to act as a generic infrastructure layer.

What ecommerce use cases does Marqo support?

Marqo powers on-site search, product recommendations, smart category and listing page ranking, and AI-driven merchandising optimization. It improves discovery across the full ecommerce journey, helping shoppers find the right products faster.

How does Marqo improve conversion?

Marqo improves conversion by delivering more relevant results that match shopper intent. When shoppers find what they are looking for faster, they browse more confidently, engage more deeply, and are more likely to purchase.

Marqo also reduces zero-result searches and improves personalization, which increases both conversion rate and average order value.

Does Marqo support personalization?

Yes. Marqo uses behavioral signals such as clicks, purchases, add-to-cart events, and browsing patterns to improve relevance and personalize results. This enables more accurate product discovery across both search and browsing experiences.

Can Marqo handle large or complex product catalogs?

Yes. Marqo is designed for ecommerce at scale and supports large catalogs with complex attributes, frequent inventory changes, and constantly evolving assortments. It is built to maintain performance and relevance even as catalogs grow.

What makes Marqo different from other AI search platforms?

Most AI search platforms apply a shared model across many customers and require heavy manual tuning to perform well. Marqo trains a dedicated model on each retailer’s catalog, which creates deeper understanding of product attributes and brand context.

This is what enables Marqo to deliver best-in-class relevance and measurable revenue impact.

What is Marqo Cloud?

Marqo Cloud was introduced as an early hosted deployment option for Marqo. It enabled teams to run Marqo in production with minimal infrastructure overhead.

As Marqo evolved into a purpose-built ecommerce search and product discovery platform, our focus expanded beyond infrastructure to delivering a complete commerce solution powered by catalog-trained AI. Marqo Cloud continues to support existing deployments, while Marqo’s roadmap is centered on the next generation of ecommerce search and discovery.

How does Marqo integrate with ecommerce platforms?

Marqo integrates with leading ecommerce platforms and modern storefront architectures. It is commonly deployed alongside Shopify, Adobe Commerce, and Salesforce Commerce Cloud, and can support headless commerce environments.