On October 13, 2026, Algolia announced native Shopify B2B support and said it was available to Algolia customers using its Shopify integration. Algolia described search results that adapt after a buyer signs in and selects an account location, reflecting that buyer’s assigned company catalog, account-specific prices and purchasing terms, in an announcement reported by HPCwire/BigDataWire.
What buyers see in search
Algolia’s announcement says results include products published to the buyer’s assigned company catalog. Prices are described as the amounts buyers will pay at checkout, including fixed prices and percentage-based adjustments from standard pricing. Search also surfaces minimum and maximum order quantities, purchasing increments and available volume discounts.
Algolia described the capability as part of the same integration used for consumer storefront search, without a separate B2B search system or custom middleware.
How Algolia says merchants can activate it
The announcement gives different routes for existing and new Algolia customers: existing customers are directed to activate B2B indexing in the Algolia for Shopify app, while new customers are directed to configure the capability through the Algolia AI Search & Discovery app dashboard.
Recommend has its own Shopify implementation workflow
Algolia Support describes Shopify Recommend implementation as three stages: collect click and conversion events, train Recommend models, then implement the Recommend UI on the storefront (Algolia Support). For a merchant planning both features, buyer-specific B2B search and recommendation widgets involve distinct implementation work: the Recommend workflow includes event collection, model training and storefront UI implementation.
