Handle inbound calls and website inquiries 24/7 with an AI receptionist that books appointments, answers FAQs, and routes urgent requests.
Real estate teams don't have a "front desk" in the traditional sense — leads come in at 9pm, Sunday showings get called in, and the team lead's cell rings during dinner. Buyer's agents are the receptionist by default, which is a terrible use of a $100K+/yr producer. An AI receptionist handles the first touch for teams: answers sign calls 24/7 with the listing details, qualifies buyer leads with price/area/timeline/pre-approval, books showings against the team calendar, and escalates hot leads (ready to write, listing appt interest) directly to the on-call agent. For a team doing $100M in volume, the AI receptionist effectively replaces a $45K/yr ISA while handling 3x the call volume and never missing a 9pm Zillow call.
A 20-agent team in Phoenix deployed an AI receptionist on their main team line and recovered 89 after-hours leads in 60 days — 12 converted to showings, 3 closed on $400K–$700K homes. A luxury team in Miami uses it as a listing appointment pre-qualifier: sellers get asked about timeline, mortgage balance, and motivation before a human listing agent calls, which doubled listing-appt-to-signed ratios. A team in Denver uses it as a sign-call specialist — every MLS sign has the team number, and the AI handles "is this still available?" instantly 24/7.
Document the top 10 reasons people call your business. For each, define: what info the AI needs to collect, what action it should take (book, transfer, message), and what the ideal outcome is.
Configure Vapi or a GHL AI agent with your business hours, services, pricing ranges, and booking calendar. Upload your FAQ document as the knowledge base.
Set rules: new patient/client inquiries get booked directly, existing clients get transferred to their provider, emergencies get escalated to a live person immediately.
Link the AI to your calendar (GHL, Calendly, or practice management software) so it can check availability and book appointments in real time during the call.
Configure when the AI should hand off: after 2 failed understanding attempts, when the caller says 'speak to a person', or for any emergency/urgent situation.
Run 20+ test calls covering every scenario: new booking, reschedule, billing question, emergency, angry caller, wrong number. Fix gaps before going live.
Tuned for Real Estate Teams. Use as-is or adapt to your voice.
Thanks for calling [Team Name], this is our virtual assistant — I can help with any of our listings. Which property are you asking about? If you have the MLS number or street address, I'll pull it up in a second.
Great — you're looking in [neighborhood] around $[price]. Quick questions so I can match you with the right agent: (1) Are you pre-approved or paying cash? (2) Timeline — 30 days, 60–90, 6+ months? (3) Currently renting, selling a home, or relocating? One sec while I loop in [Agent].
Thinking about selling? Great — I'll get [Listing Specialist] to call you today. Quick info so she's prepared: (1) address, (2) what you think it's worth, (3) timeline (30/60/90+ days), (4) current mortgage balance. No pressure, just helps her come in with comps ready.
Thank you for calling [Business Name]. This is [AI Name], your virtual assistant. I can help you schedule an appointment, answer questions about our services, or connect you with our team. How can I help you today?
I'd be happy to book that for you. I have availability on [Day] at [Time] and [Day] at [Time]. Which works better for you? I'll also need your name, phone number, and a brief description of what you need.
I want to make sure you get the best help possible. Let me connect you with [a team member / our office manager] right now. Please hold for just a moment.
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Don't deploy an AI receptionist for practices where the initial phone call requires clinical triage (e.g., urgent care, crisis counseling) or where regulatory requirements mandate a licensed professional handle intake calls.
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