Real Estate · Agency · Agent · Property

AI phone assistant for real estate

Evaluate an AI phone assistant for listing questions, changing property preferences and viewings. Compare adviser effort, pilot outcomes and total enquiry costs.

Real Estate

A buying guide for real estate offices

Make listing interest useful to the property adviser

A person asking about a listing may want more than its price: another location or help with a property they own. Limit the first pilot to a defined portfolio group. With your configured test assistant, use a scenario where the initial listing differs from the final preference. An adviser understanding the actual need is more meaningful than counting every positive reply as an opportunity.

Suggested pilot: a different need emerges

Have a caller ask about an apartment, then clarify that they want to rent in another area. Test the distinction between the first listing, transaction type and final preference. Can the adviser identify the request to follow up? An unverified alternative should not be presented as definitely suitable.

Suggested pilot: a viewing request changes

Have a caller request a viewing, then explain they cannot be flexible about timing. Assess whether the request remains distinct from a confirmed viewing. If adviser availability still needs checking, the conversation should make this explicit and leave the caller understanding the next step.

Prepare before the pilot

  • Approved listing descriptions and transaction types for the pilot portfolio.
  • Preliminary questions about areas, property preferences and viewing times.
  • Adviser allocation and rules for viewing and follow-up confirmation.

Measures for the buying decision

  • Requests advisers can work on without repeating basic questions.
  • Time from the listing call to an adviser conversation.
  • Viewings that actually take place after being arranged.

Where a person makes the decision

Price negotiation, a property’s legal position and special contract expectations go to the adviser. The pilot should not let general listing information substitute for professional assessment or a binding offer.

Change a listing question with your configured test assistant

Explore the sample conversations. Try changing the location and timing preference with the test assistant in your account. In a real-call pilot, track useful enquiries reaching advisers and completed viewings. Compare pricing by cost per actionable enquiry and adviser effort alongside expressions of interest.

Hypothetical incoming call

Warm, natural, on your customer’s side.

It answers buyer calls from your listings, separates buyers from sellers, collects budget and location, then hands the conversation to your agent with a summary.

AvaritCall
Voice call · Real Estate
Example
AvaritCall
Outgoing call · Real Estate
Example
Outbound Calls · Owner Listings

A voice AI that calls owner-listed properties.

It scans your listing list daily, calls property owners, pre-qualifies them; your team starts with warm portfolio candidates, not a cold list.

  • Scans your listing list daily; calls every new owner in order.
  • Standard pre-qualification: sale urgency, price expectation, openness to an agency.
  • Identifies hot prospects; filters out the cold so only real opportunities reach your team.
  • Calls evenings and weekends too; owners are reached at the best time.

“Two is a bit tight for me — could we make it four?”

— a line from the fictional example dialogue
Neither direction is covered.
Inbound
A missed call is a missed listing.
A listing left unanswered at peak hours goes to another agency; customer and portfolio are lost together.
Inbound
Buyers and sellers aren’t separated.
Everyone flows through the same channel; a hot lead waits in the same queue as a window-shopper.
Outbound
The list is huge, the team can’t keep up.
Hundreds of owner listings, a handful of agents; most of the winnable portfolio is never called.
Outbound
Cold calling burns out agents.
Rejection, aggression, unavailability — cold calling quickly eats away at an agent’s motivation.
Measure in your pilot
Pilot

Requests advisers can work on without repeating basic questions.

An AI agent at the end of every listing.

Answers listing calls 24/7; no more busy tone.

Asks budget and location; clearly separates buyers from sellers.

Learns property type, rooms and price preference; routes to the right agent.

Sends listings, photos and follow-up messages over WhatsApp.

Summarizes the call; the lead lands on the dashboard as hot / warm / cold.

Separates serious buyers from info-seekers; no agent time wasted.

Data processing scope

Before you start, clarify your data workflow.

Notice and permission
Determine the caller notice and permissions needed for your own workflow.
Data scope
Review the different processing scopes of transcripts, web forms and payment information in the privacy and KVKK notices.
Access and retention
Discuss team access, required retention periods and the process for deletion requests.
Enterprise requirements
Evaluate specific data processing and contractual requirements with the team before launch.

Agree on notice, access and retention requirements for the pilot with your organization; review data processing scope in the privacy and KVKK notices.

How it works
Create the agent

Use an industry template as a starting point and configure the information and conversation workflow for your business.

Test it

Call from your own number, hear the real conversation, fine-tune.

Go live

Connect your number or get a new one; the agent answers 24/7.

Monitor & improve

Track calls, transcripts and metrics from the dashboard and keep improving.

Frequently asked questions

Try voice AI built for your sector today.

Configure your assistant in the dashboard and test it with your own call workflow. Start with USD 5 signup trial credit and pay-as-you-go pricing.

Same platform, different industry
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