Instead of a static form, SellerChat holds a real conversation, captures the details your front desk needs, and routes a ready request, answering only from your own content and never giving medical advice.
Asks the service or specialty, preferred date and whether the patient is new or returning, so each request arrives ready to confirm.
Explains services, locations and visit prep from your own pages, never inventing anything and never giving a diagnosis.
Collects the details and contact, then routes a ready request to your front desk.
Patients comparing clinics want quick, clear answers, but safety comes first. SellerChat answers your practice questions from your own site, helps patients reach the right service, and captures an appointment request, while never giving medical advice and handing every clinical question to your staff.
No integration project and no developer sprint. You point it at your content, drop in one snippet, and it starts answering.
It learns your services, locations, hours and FAQ, the answers your front desk gives daily.
One line of code on your site. No rebuild, no developer backlog.
Patients get instant answers while it captures service, preferred date and new or returning.
Ready appointment requests and contact details reach your front desk.
Instant, accurate first replies mean fewer lost patients and more appointment requests at your front desk.
Create your account, point SellerChat at your content, and let it turn quiet traffic
into qualified appointment requests, with clinical questions sent to your staff.




How the AI seller guides patients, what it captures, and when it brings in your staff.
No. It answers only from your own content about services and visit prep, never gives advice or a diagnosis, and hands every clinical question to your staff.
The service or specialty, preferred date, whether the patient is new or returning, and contact, everything your front desk needs to confirm an appointment.
Point it at your content and add one snippet, typically live in a day, with no developer backlog.
