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AI Voice Receptionist for Real Estate Agents: Full Build

Folu built a real estate AI voice receptionist using Vapi, OpenAI, Google Calendar, and Make.com that answers calls, checks live calendar availability, books property viewings, and emails agents automatically

Vapi
Make.com
Make.com
Google CalendarOpenAI

The Strategy

Folu Ilori of Work Ready AI built a fully functional AI voice receptionist for real estate agencies using Vapi as the voice layer, OpenAI GPT-4 for conversation, Google Calendar for live availability checking and booking, and Make.com for automated email notifications to agents. The system answers inbound calls, gathers lead information (buyer or seller, budget range), checks real calendar availability in real time, books property viewings directly into the agent's calendar, and sends the agent an email summary with the caller's name, contact details, and the purpose of the call. Folu's agency Work Ready AI has implemented this system for over 60 real estate agencies across the US and EU.

How It Works

1

Create a Vapi assistant using a blank template. Configure the prompt to define the agent persona, lead qualification questions (buyer or seller, budget range), and instructions for handling scheduling, rescheduling, cancellations, and common questions.

2

Set model to OpenAI GPT-4o and voice to either Vapi Kylie or ElevenLabs. Set transcriber to Deepgram Flux General English for best transcription accuracy.

3

Connect Google Calendar in Vapi settings under Integrations. Create two tools: a check availability tool (with time zone and 45-minute booking duration configured) and a create event tool (books confirmed slots with caller phone number in the description).

4

Add both calendar tools to the assistant under the Tools section so the agent knows when and how to trigger each one.

5

Create a Make.com scenario with a custom webhook module. Copy the webhook URL into a new custom Vapi tool called send email. Configure the tool to send a message string containing the caller's query, booking details, or contact information.

6

In Make.com, add an email module after the webhook. Set the recipient to the real estate agent's email address, subject to new call message, and body to the message variable received from Vapi.

7

Update the Vapi prompt to instruct the agent to trigger the send email tool whenever a booking is confirmed or a caller has a specific query.

8

Test the full flow: call the assistant, request a time that is already booked, confirm the agent correctly identifies the conflict and offers alternatives, book the alternative slot, and verify the calendar event and agent email both appear correctly.

Results

Work Ready AI has implemented this system for over 60 real estate agencies across the US and EU. The revenue case is based on industry data: real estate agents miss 30 to 40% of inbound calls, approximately 80% of callers go with the first agent to respond, and average commission per deal is approximately $12,000. Capturing 4 additional deals per year that would otherwise go to a competitor represents approximately $50,000 in additional annual commission. The live demo shows the system correctly detecting a calendar conflict, offering an alternative time, booking the appointment, and delivering a formatted email summary to the agent within seconds.

Our Take

This is a clean, well-documented build for real estate agencies. The $50K revenue figure is a projection based on reasonable industry assumptions rather than a documented result from a specific client, which is worth noting. That said, the underlying math is sound. The technical implementation is straightforward and the live demo is thorough. The combination of Vapi for voice, Google Calendar for live availability, and Make.com for email notifications is a practical three-tool stack that agencies can implement without a developer. Best suited for automation agencies building AI receptionist services for real estate clients.

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