Instead of a static search box, SellerChat holds a real conversation, recommends the right product and captures a purchase or a saved lead, answering only from your own content.
Asks the use case, size and variant the shopper needs so it can point to the right product.
Explains products, shipping and returns from your own pages, without inventing stock or prices.
Guides to checkout or saves the cart and contact, then routes a ready lead to your team.
Shoppers open several tabs and buy from whoever answers first. SellerChat answers from your own catalog, recommends the right product, and captures the sale or a saved lead instantly, never inventing stock, specs or prices you cannot confirm.
No integration project and no developer sprint. You point it at your content, drop in one snippet, and it starts selling.
It learns your products, shipping and returns and FAQ, the answers your store gives daily.
One line of code on your store. No replatforming, no developer backlog.
Shoppers get instant answers while it captures use case, size and variant and recommends the right item.
Finished checkouts, saved carts and contact details reach your team.
Instant, accurate first replies mean fewer abandoned carts and more sales and leads in your pipeline.
Create your account, point SellerChat at your catalog, and let it turn quiet traffic
into finished checkouts and saved leads.




How the AI seller qualifies shoppers, what it captures, and when it brings in a human.
It answers only from your own catalog and FAQ, never inventing stock, specs or prices, and hands anything uncertain to a human.
Use case, size, variant and contact, everything your team needs to complete a sale or follow up on a saved lead.
Point it at your catalog and add one snippet, typically live in a day, with no developer backlog.
