Klaviyo Brings Customer Agent Product Recommendations to WooCommerce and Magento

On October 23, 2026, Klaviyo expanded Customer Agent capabilities for online stores running on WooCommerce and Magento 2. The AI agent can now recommend products directly in a shopper conversation using the store's product catalog. Recommendations include availability, price, product images, and links to product pages. This update extends Customer Agent's product discovery capabilities beyond Shopify stores.

Product Recommendations During Customer Conversations

Customer Agent can now select products from the catalogs of WooCommerce and Magento 2 stores.

When a visitor asks for help choosing a product, the agent can suggest relevant items and display the information needed to make a decision: product name, current price, image, availability, and a link to the product page.

For example, a shopper might ask for a product that serves a particular purpose or check which options are available. Rather than relying only on support content, the agent can consult the connected store's assortment.

The important distinction from a conventional chatbot is access to product data. This reduces the need to manually maintain separate product lists in a knowledge base and connects recommendations to the actual catalog.

This release concerns Customer Agent recommendations within conversations. It does not introduce new product blocks for email campaigns. Klaviyo already supports product recommendations in WooCommerce and Magento emails through Product Feeds.

Using WooCommerce and Magento 2 Catalog Data

The new feature uses the catalog data supplied by the connected ecommerce platform.

For shoppers, this means recommendations contain specific commercial information rather than only descriptive text. They can navigate directly from an AI response to the recommended product page.

Product availability is central to the update. Klaviyo explicitly states that Customer Agent recommends in-stock products, which is particularly relevant to retailers with large assortments and frequently changing inventory.

Support for WooCommerce and Magento 2 also makes Customer Agent useful to more retailers operating outside the Shopify ecosystem.

Recommendation quality still depends on the completeness and accuracy of synchronized catalog data. The AI interface cannot independently fix incorrect inventory or pricing information supplied by the store.

Customer Agent as a Product Discovery Assistant

Klaviyo is developing Customer Agent not just to answer customer questions but also to assist shoppers with product selection.

The product architecture includes tools that the AI agent uses to complete particular tasks. For example, Get Product Recommendations retrieves suggestions based on a shopper's interests and preferences, while other tools may access orders, customer profiles, and the business knowledge base.

Which tools can be used depends on the connected integrations and the agent's configured skills. Product recommendations being available does not mean every other Customer Agent capability is supported identically across ecommerce platforms.

For retailers, the practical value is combining consultation and a product suggestion in the same interface. After getting an answer, visitors do not necessarily need to start a separate catalog search: the agent can immediately surface specific products.

This can be especially useful for stores with broad assortments, where shoppers need help comparing several options.

Implications for Marketing and Conversion

Recommendations within Customer Agent create another touchpoint between a store visitor and its product assortment.

Unlike email recommendations, which are often used to re-engage subscribers, a conversation with an AI agent can happen during active product consideration. The shopper has already expressed a need, and the system can match that need to available catalog items.

For marketing teams, this creates an opportunity to respond to explicitly stated shopper interests. A consultation can lead to a product page visit, while conversation history may provide additional insight into customer questions and preferences, depending on available data and permissions.

However, the presence of recommendations alone does not establish higher conversion rates or average order values. Those effects should be measured separately, ideally by comparing Customer Agent users with an appropriate control group.

It is also important to distinguish in-chat recommendations from personalization of outbound marketing communications. The October 23 update primarily concerns interactive use of WooCommerce and Magento 2 catalogs by Customer Agent.

About Klaviyo and Customer Agent

Klaviyo is a customer data, marketing communications, and customer engagement platform focused primarily on ecommerce. Its products include customer profiles, segmentation, email, SMS, automated marketing workflows, and customer service tools.

Klaviyo Customer Agent is an AI agent that interacts with shoppers through conversational interfaces. It uses store knowledge and available integrations to answer questions, retrieve order information, and assist with product discovery.

The October 23 update expands Customer Agent's commerce capabilities for WooCommerce and Magento 2 stores. The agent can now generate product recommendations during a conversation using catalog information and item availability.

For Klaviyo, this reflects closer integration of marketing automation and customer service. Its tools support shoppers not just after they leave the store through email and automated campaigns, but also while they explore the product assortment.