AI Voice Agent for Real Estate — Speed-to-Lead & Lead Qualification | PrimexAI
AI · Real estate

AI voice agent for
real estate teams

Answers every inquiry in seconds, reactivates your aged-lead database, and qualifies buyers and sellers without tying up an agent. Works 24/7 — so your team closes while it handles the phones.

Talk to us → See the case study
$620K
in attributed revenue
+40%
conversion to deal
6,000
leads / mo
The problem

What a brokerage loses
without AI

Every day without an AI voice agent is buyers and sellers who reach a competitor faster than they reach you.

🕐

Speed-to-lead is too slow

A Zillow or Realtor.com inquiry waits 20–40 minutes for a callback. By then the lead has already pinged 2–3 other agents. Contact within 5 minutes and you're 8× more likely to convert.

→ the agent answers in 3 seconds
🧊

Your database goes cold

Thousands of contacts in your CRM looked at homes 3–12 months ago. Nobody works them — there's no bandwidth and no ISA to spare.

→ the agent reactivates it in 1 week
💸

An ISA is expensive

A human ISA makes 40–60 dials a day and runs $75–90K/yr fully loaded. The AI agent makes 500–1,000 and drops your cost per qualified call by 8–12×.

→ $0.30/min, no salary, no churn
📵

After-hours calls go to voicemail

Evenings, weekends, and peak hours — a chunk of inbound calls is missed. That buyer won't call back; they'll call the agent who picked up.

→ 24/7, nothing missed
Use cases

5 ways the AI voice agent works
for real estate

01

Inbound lead — instant response

A buyer fills out a Zillow form or calls in. The agent picks up in 3 seconds and asks 4–5 qualifying questions: price range, property type, area, timeline. Hot leads route straight into HubSpot to the next available agent.

Always on
02

Database reactivation — re-engagement

The agent calls CRM contacts who looked at homes 3–12 months ago: "Hi Michael, this is Sarah from the team — you were looking at homes in Lakeview, and a few new listings just came up in your range. When's a good time to talk with one of our agents?"

Databases up to 50,000
03

Qualification — budget, area, type

It pins down the real budget (not "roughly"), property type, preferred area, and buying timeline. It scores intent on a 5-point scale and tags the contact in your CRM. The agent gets a ready-to-work brief.

CRM integration
04

Showing confirmations

Two hours before a showing, the agent calls to confirm the time. If it no longer works, it offers to reschedule and updates the slot on the agent's calendar. Cuts no-shows by 65%.

Auto-calendar
05

Post-close review & referral

Three days after closing, the agent calls the client and runs a 3-question NPS check. Responses are logged on the contact and pushed to the broker on Telegram. Drives repeat business, referrals, and review-site ratings.

NPS analytics
Case study

Estadel: the real numbers

A resort-real-estate brokerage. The AI sales agent worked 3.4× more contacts, surfaced 7.9× more buying interest, and cut cost per lead by 67% — from the same database, on a smaller budget.

Estadel resort-real-estate brokerage

The AI sales agent reactivated a cold database
and cut cost per lead by 67%

The client. Estadel is a brokerage specializing in resort and second-home real estate. Lead sources: Google Ads, the website, messengers, and Facebook / Instagram ads.

The problem. Agents weren't working leads systematically — slow follow-up let buyers go cold, after-hours inquiries were lost entirely, and there was no bandwidth to reactivate the old database.

The solution. The AI sales agent took over all first-touch calling: surfacing current intent, answering common questions about listings, and qualifying against set criteria. 41,280 calls — a volume no human team could physically reach.

The outcome. The team shrank from 12 to 3 agents. The remaining three work hot leads only. 210 leads recovered from a "dead" database the sales floor had written off.

41,280
calls (up from 12,018, +243%)
7.9×
more buying interest surfaced
−67%
cost per lead: $8 → $2.50
12 → 3
agents after deployment
Before vs After: AI sales agent metrics
Before
Call volume 12,018
Budget $1,100
Conversations2,617
Buying interest surfaced137
Conversion5.24%
Cost per lead$8
After
Call volume 41,280
Budget $2,700
↑ +243% · Budget: $1,100 → $2,700
Conversations17,370
+564%
Buying interest surfaced1,083
+690%
Conversion6.2%
+0.96%
Cost per lead$2.50
−67%
💡
Key result

The AI sales agent worked 3.4× more contacts, surfaced 7.9× more buying interest, and cut cost per lead by 67%.

How the AI sales agent did it
High-volume calling
  • First touch and current-intent discovery on every contact in the database
  • Answers common listing questions with no agent involved
  • Qualifies each lead against set criteria and pushes it to the CRM
  • 41,280 calls — a volume no team of human callers could reach
Database reactivation + freeing up the team
  • Leads who looked at homes but never closed — pulled back into the funnel
  • Contacts who never picked up before — re-worked across funnel stages
  • Team cut from 12 to 3 agents with no loss in reach
  • The remaining agents work only the hot leads the AI agent hands off
Call recordings

Hear the AI sales agent in action

Real call recordings from the Estadel brokerage. The voice is indistinguishable from a live agent — ElevenLabs neural synthesis.

Database reactivation
Re-engaging a dormant lead
The agent calls database contacts who looked at homes but never closed. It surfaces current intent and qualifies the lead against the brokerage's criteria.
AI sales agent — brokerage
A live real-estate sales call
A full AI sales agent conversation: qualification, uncovering the need, handling objections, defining the next step, and the handoff to a human agent.
Line is live
AI sales agent demo

Hear a live conversation — right now

Request a callback and the AI agent will call you in seconds.

Hear a live demo →

Talk to it like you'd talk to a live agent on the team.

Integrations

It plugs into your CRM

Every call's data lands on the contact automatically. Call recording, AI summary, lead score, next step — no manual data entry.

HubSpot
Salesforce
Follow Up Boss
kvCORE
Any CRM via API
Google Sheets / Airtable
Start a project

Ready to launch your
AI voice agent?

In 30 minutes we'll review your database, your market, and your goal — and tell you what result is realistic in your case. Free.

FAQ

FAQ

The AI voice agent makes 200 to 1,000 calls a day depending on the dedicated line pool — 10–50× the volume of a single ISA, and it covers after-hours and peak-time inquiries too. A 12,000-contact database takes roughly 2–3 weeks to fully work.

No — not with a well-written script. The voice is indistinguishable from a live agent (ElevenLabs neural synthesis). The key is an honest, respectful script and a fast handoff of any interested lead to a human agent. In our case study, conversion beat human callers on cold outreach.

Over the API: after each call the agent automatically creates or updates the contact, attaches the call recording and an AI summary, sets a lead score, and queues a task for the next touch. Your agents see everything inside the CRM they already use.

A standard real-estate rollout takes 2–3 weeks. It includes the brief, scripts written for your market, voice setup, CRM integration, testing on your own database, and a full go-live with analytics.

Telegram → WhatsApp