CommerceGPT helps ecommerce shoppers describe what they need conversationally and surfaces relevant products using the catalogue information available to the assistant.
A shopper can explain preferences, use cases or budget in their own words. CommerceGPT can use that context together with available product data to suggest relevant options and continue the conversation.
Recommendations can reflect the details a shopper shares in conversation instead of relying only on a fixed recommendation slot.
CommerceGPT uses the product information available to it and is designed not to invent missing store-specific facts.
Use the dashboard to ask the kinds of product questions customers are likely to ask and improve missing knowledge before launch.
Where tracking is configured, CommerceGPT can report product-card engagement and distinguish supported commercial-impact signals by attribution confidence.
CommerceGPT keeps manual setup available while also providing guided Install with AI and an authenticated Installer MCP for compatible coding agents.
CommerceGPT uses the shopper's question together with product information available to the assistant to identify relevant options. Recommendations should remain grounded in the product data that is available rather than inventing missing features.
Yes, when those product details are available to CommerceGPT. Product cards can include information such as names, images, prices and links depending on the available store data.
No. Recommendations are based on the shopper's stated request and the product information available to CommerceGPT. Businesses should keep product information accurate and avoid treating general ecommerce recommendations as professional advice in regulated or high-risk contexts.
CommerceGPT includes product-interest and commercial-impact reporting where the relevant interaction tracking is configured. Tracked and inferred outcomes are kept distinct according to the available evidence.
Yes. The dashboard allows businesses to ask realistic product questions and review the assistant's responses before making the chatbot available to customers.
Create a free account, add your website and test realistic customer questions before deciding how to install it.