Clerk.io

Learn how to add an AI shopping assistant to WooCommerce with reliable product data, variations, stock, content, testing, and conversion measurement.

Learn how to ground AI shopping assistants in product data, prevent unsupported answers, and keep recommendations tied to what your store can sell.

Learn which KPIs show whether an AI shopping assistant creates commercial value, from product clicks and add-to-cart rate to assisted revenue.

Learn how to implement an AI shopping assistant for Magento with catalog data, product attributes, inventory, customer context, testing, and measurement.

Use this practical framework to evaluate an AI shopping assistant for product relevance, accuracy, availability, conversation quality, and revenue impact.

Learn how to implement an AI shopping assistant for BigCommerce with catalog scale, variants, inventory, pricing, channels, testing, and measurement.

See which product data an AI shopping assistant needs to recommend items accurately, respect stock and price, and guide shoppers to checkout.

Compare how AI shopping assistants support different ecommerce categories, from fit and ingredients to compatibility and account-specific buying.

Intent Search is Clerk.io's self-healing search capability, built to recover searches that would otherwise return nothing.

Compare AI shopping assistants, ecommerce chatbots, and site search to see which tool fits your shoppers, catalog, and revenue goals.