AI Search Relevance
Marqo supports instant indexing, semantic relevance, typo tolerance, and multilingual comprehension so search can return meaningful results beyond exact keyword matches.
Marqo is an AI-native ecommerce search, recommendations and merchandising platform for enterprise retail teams, using catalog and shopper behavior to improve discovery and ranking.
Marqo is an AI-native ecommerce product discovery platform for search, recommendations, and merchandising. It is trained on a retailer’s catalog and shopper behavior to improve how customers find products and how teams shape results.
The product combines semantic search, visual search, personalization, and automated ranking controls. Marqo positions these capabilities for enterprise retail teams that want to reduce manual tuning, deploy quickly, and improve discovery outcomes across search, browse, recommendations, and storefront experiences.
Marqo supports instant indexing, semantic relevance, typo tolerance, and multilingual comprehension so search can return meaningful results beyond exact keyword matches.
Search results can be personalized using shopper clicks, carts, purchases, and real-time context to adapt the ranking to each visitor.
Marqo handles image and text search together, including visual search with text refinements for shoppers who start from a product image.
The platform can automate boosts, filters, rankings, and collections based on relevance and conversion signals, reducing manual merchandising work.
Merchandisers can set business logic around margin, availability, brand priorities, seasonal trends, and regional patterns while keeping control over the experience.
The recommendations product uses real-time shopper behavior and context to support intent-aware cross-sell and upsell placement.
Improve onsite search for shoppers who use natural language, long-tail phrases, typos, or multilingual queries and need relevant results quickly.
Surface related products at the right moment using behavior-aware recommendations for cross-sell, upsell, and personalized placement.
Automate ranking, boosts, pins, filters, and collections so merchandisers can apply business rules without manually curating every page.
Support image-led shopping where customers begin with a photo and refine results with text to narrow to the right product.
Use shopper behavior and catalog signals to tune discovery experiences for different products, categories, and regional buying patterns.
Marqo is an AI-native ecommerce search, recommendations, and merchandising platform trained on a retailer’s own catalog and shopper behavior.
The source shows deployment via API or one-click integrations for Shopify, Adobe Commerce, and Salesforce Commerce Cloud.
Marqo’s site search product supports personalized results, typo and synonym handling, multimodal search, and real-time optimization based on shopper behavior.
Marqo’s recommendations product delivers intent-aware recommendations that adapt to shopper behavior and business goals, with examples such as cross-sell and upsell placement.
The pricing page invites visitors to book a 30-minute demo and see a live proof-of-concept on their own catalog; no public pricing is listed in the provided sources.