Help shoppers find, filter and discover the exact products they’re looking for. Effortlessly turn plain language into relevant product results and faster conversions.
.png)
.png)
.png)
Translate queries into relevant product results, even when shoppers use colloquial terms, lifestyle context or complex requirements, like matching “warm jacket” to an insulated winter coat. Built directly into the commerce engine, Product Search stays in sync with your catalog, price and availability in real time. No separate search index to manage. No lag between commerce data and discovery.
Included in B2C Commerce, B2B Commerce and B2X Commerce products.
Search, filter, facet and sort across up to 50 product-level and 50 variant-level custom attributes. Give shoppers and B2B buyers precise results without flattening complex catalog specifications into rigid search logic.
Show products based on the shopper’s location and the storefront they’re using. Multi-store queries automatically scope results to the right locale, brand site or country assortment across up to 15,000 Stores and Product Selections.
Give AI assistants and procurement agents direct access to the same real-time product data your storefront uses. Because Product Search is natively connected to the commerce data model, agents can query and reason over products and pricing without a separate data layer.
Product, inventory and price changes flow directly from the commerce engine to search within minutes. No third-party sync pipelines to build or maintain, so shoppers see what’s actually available and your engineering team spends less time debugging data issues.
Search scopes automatically filter by store, buyer group, catalog and negotiated pricing tier, so B2B buyers only discover products and prices covered by their contracts. It scales up to 15,000 stores, 15,000 product selections and 10,000 standalone prices per product without maintaining separate indexes for every market, brand or customer.
.png)
Search and fetch localized product names, images, filters and negotiated prices through a single API query. Fewer round trips mean faster storefronts and a simpler frontend, with no client-side data stitching. Supports both a standard REST interface and a unified GraphQL endpoint.
Search, filter, facet and sort across up to 50 product-level and 50 variant-level custom attributes, so even highly detailed catalogs remain easy to navigate. Complex specifications become precise, usable search experiences without custom search logic.
product-level and variant-level custom attributes.
product selections supported for B2B buying.
standalone prices per product for B2B buying.
It’s a storefront search tool that helps shoppers find, filter and discover the products they need using plain language. It supports semantic, hybrid and traditional search so shoppers can search by intent, product attributes or specific terms.
No. Product Search is designed to power search and discovery experiences within your storefront or commerce application. It is not a product-feed management tool for Google Shopping, ChatGPT or other external channels.
Catalog, inventory and price changes are incrementally indexed as they occur, with updates reaching search within minutes rather than requiring periodic bulk reindexing. Because Product Search is native to the commerce platform, there’s no separate integration or data-sync pipeline to build and maintain.
Yes. Queries can be scoped to the relevant store, locale, brand or country assortment, supporting up to 15,000 stores and product selections.
Yes. Queries can filter, facet and sort across up to 50 product-level and 50 variant-level custom attributes, enabling detailed searches of technical or product specifications without building separate search logic for each attribute.
Yes. Because Product Search is directly connected to the underlying commerce data model, AI agents can query current catalog information and reason about product data, availability and pricing as part of agentic commerce experiences.
Join 500+ enterprises already running on commercetools.