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AI AgentsVoice & Phone18 min readLast updated

AI Voice Agent for Real Estate: Speed-to-Lead Costs and Vendors

A real estate voice agent calls new leads within minutes, qualifies them on timeline and budget, and books a showing straight into the agent's calendar: buy Follow Up Boss ($69/user/mo, AI on every plan) or Structurely (reportedly $179-$499/mo), hire an agency to wire speed-to-lead calling into your CRM ($13K-$25K), or build it on Retell for about $0.15 a minute. A 2007 study found leads contacted within 5 minutes were 21 times more likely to qualify.

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Decision matrix

Should you buy, hire, or build it yourself?

Three paths to launch a real estate voice agent, side-by-side. Pick the one that matches your budget, timeline, and how much control you actually need.

Recommended

Buy an off-the-shelf agent

Buy SaaS
Time to launch
Same day to about two weeks, mostly connecting your lead sources and calendar
Upfront cost
$0 setup for most vendors; no published onboarding fee
Monthly cost
$69/user/mo (Follow Up Boss Grow, AI included) up to a reported $499/mo plus $0.12/action (Structurely)
Ownership
The vendor owns the voice platform, the number routing and your lead data
Customization
Limited to the vendor's qualification script and calendar integration

Best for

Solo agents and small teams under roughly 200 leads a month

Risks

  • Structurely's and Ylopo's pricing figures conflict across public sources, so get a written quote before budgeting
  • Follow Up Boss's AI features are layered onto a CRM, not a dedicated voice-calling specialist
  • Ylopo's reported cost often bundles ad spend with the AI tool itself, making the AI-only price hard to isolate
  • Outbound calling without proper TCPA consent creates real legal exposure regardless of which vendor you pick

Hire RapidDev

Hire agency
Time to launch
3-6 weeks
Upfront cost
$13K-$25K standard; up to $35K for multi-system + compliance-heavy builds; $8K-$15K for a simple single-channel agent
Monthly cost
Roughly $0.08-$0.15/min in voice and telephony costs, typically $50-$300/mo at small-team lead volume
Ownership
You own the code, the prompts and the lead data
Customization
Unlimited: wired into your exact CRM, MLS feed and qualification script

Best for

Teams whose lead sources or CRM aren't well supported by a packaged speed-to-lead tool

Risks

  • Overkill for a solo agent under roughly 50 leads a month
  • You own the ongoing voice-stack bill, which rises with lead volume
  • Requires defining TCPA consent capture and fair-housing-safe scripting correctly before launch
  • A rushed launch without recording-consent language creates real legal exposure

Build it with Vapi or another developer voice platform (pick the one that fits)

Build yourself
Time to launch
A few days for a basic version, 2-4 weeks for reliable production use
Upfront cost
$0-$50 to get a number and a starter account
Monthly cost
Roughly $0.15/min all-in on Retell (voice engine plus LLM, TTS and telephony) at typical lead-call volume
Ownership
You own the assembled voice workflow
Customization
High, but you're integrating and maintaining STT, the model, TTS, telephony and the CRM tool calls yourself

Best for

Technical agents or small-team ops leads comfortable assembling a voice stack before paying a per-seat fee

Risks

  • Latency matters enormously here: a slow callback defeats the entire point of a speed-to-lead tool
  • No built-in SLA: a provider outage takes your fastest lead-response channel down with it
  • You're responsible for TCPA consent capture and fair-housing-safe scripting, not a vendor's legal team
  • Per-minute billing across several vendors is hard to forecast and reconcile

What a real estate voice agent actually does

Calls a new lead within minutes of it hitting the CRM, qualifies them on timeline, budget and target area, and books a showing or hands the lead to the agent with full context attached.

A real estate voice agent exists to solve one specific, measured problem: speed-to-lead. The moment a lead comes in from an MLS portal, Zillow or a website form, the agent calls, texts or both, asks the handful of qualifying questions a real agent would ask (timeline, pre-approval status, target area), checks the agent's calendar through a tool call, and either books a showing or routes a hot lead straight to the agent's phone. This isn't a general receptionist adapted for real estate; it's built around the specific economics of a lead that goes cold within the hour.

The data behind speed-to-lead is older than most AI products in this space but still the whole reason the category exists. The 2007 Lead Response Management Study (InsideSales, led by researcher James Oldroyd and later covered by MIT) found that contacting a lead within 5 minutes instead of 30 made it 100 times more likely to be reached and 21 times more likely to be qualified. A separate 2011 Harvard Business Review analysis by Oldroyd, McElheran and Elkington, covering 2,241 US companies, found that responding within an hour made a firm roughly 7 times more likely to qualify the lead than waiting longer. Every speed-to-lead vendor in this market is effectively selling a way to beat that clock without hiring a round-the-clock inside sales agent.

Where it still breaks: anything that needs the kind of local, relationship-based judgment a human agent brings to a nuanced negotiation, and the fact that this is explicitly an outbound AI voice product, which puts it squarely under TCPA rules in a way an inbound receptionist isn't. A speed-to-lead agent that calls without proper consent trades a compliance problem for a marketing one.

AI capabilities involved

Real-time speech-to-text on the live call

DeepgramElevenLabs Scribe v2 RealtimeOpenAI gpt-transcribe

Lead qualification on timeline, budget and pre-approval status

Claude Sonnet 5.5GPT-6.1 SolGemini 3.8 Flash

Showing scheduling via tool calls into the agent's calendar

Claude Sonnet 5.5GPT-6.1 SolClaude Haiku 5.5

Database reactivation outbound calling

Claude Haiku 5.5GPT-6 LunaGemini 3.8 Flash

Who uses this

  • Solo agents and small teams buying leads from Zillow Premier Agent or similar portals who can't call every lead within 5 minutes themselves
  • Teams already on Follow Up Boss, Lofty or kvCORE wanting a calling layer added without switching CRMs
  • Brokerages running database reactivation campaigns against old, unworked leads
  • Agents consistently losing leads to competitors who simply call back faster

What the real estate voice agent handles (and what it shouldn't)

TaskAgent handles it?Systems it touchesHuman role
Speed-to-lead calling on a new portal leadFullyMLS/IDX feed, CRMReviews leads the agent flags as hot
Lead qualification (timeline, budget, pre-approval)FullyCRMNone for standard qualification
Showing schedulingFullyCalendar (ShowingTime, Calendly)None for standard slots
Database reactivation outbound callsWith approvalCRM, outbound dialerReviews opt-outs and consent records
Listing Q&A (price, features, open-house times)FullyListing data, MLSNone
Negotiation or offer-strategy questionsNoNoneThe agent handles it directly
Open-house follow-up callsFullyCRMReviews leads flagged as motivated
Fair-housing-sensitive questions (schools, neighborhood demographics)NoNoneGives a scripted, compliant redirect

Off-the-shelf AI agents on the market

Real products you can sign up for today — with current 2026 pricing, honest pros and cons.

Follow Up Boss

Teams already on or willing to move to Follow Up Boss as their core CRM

Trial available; no permanent free tier

Grow $69/user/mo; Pro $499/mo for 10 users; Platform $1,000/mo for 30 users

Platform tier scales to larger teams

Pros

  • +AI features are included on every plan, not a separate add-on fee
  • +Widely used real estate CRM, so adding the AI layer doesn't mean switching your core system
  • +Per-user pricing scales predictably as your team grows

Cons

  • −It's primarily a CRM with AI layered on top, not a dedicated voice-calling specialist
  • −Voice-calling depth is less proven than a purpose-built speed-to-lead tool
The AI qualification features are only as good as the CRM data and lead routing rules you've already set up

Structurely

Teams wanting a dedicated AI ISA rather than a CRM add-on

None

Reported at roughly $179/mo, or $499/mo plus about $0.12/action and a $2,500 setup fee; figures conflict across sources and aren't confirmed on the vendor's own site

Not published

Pros

  • +A dedicated AI inside sales agent for real estate, not a CRM feature bolted on
  • +Handles both SMS and voice qualification
  • +Moved to a base-plus-credits model in April 2026, suggesting active ongoing development

Cons

  • −Public pricing figures conflict with each other, so get a written quote before budgeting
  • −A reported $2,500 setup fee, if accurate, is a real upfront cost for a solo agent
Every price figure for this vendor in the market is unverified against its own site

Ylopo

Teams already running Ylopo's ad campaigns wanting the AI layer added on top

None

Quote-based; third parties report around $295/mo for its raiya AI assistant, with the total often reaching $1,000+/mo once ad spend is added

Not published

Pros

  • +Combines lead generation (paid ads) with the AI qualification layer in one platform
  • +raiya handles both texting and voice-style lead qualification
  • +A well-known brand in the real estate ad-tech space with an established track record

Cons

  • −The commonly cited $1,000+/mo figure bundles ad spend with the AI tool, making the AI-only cost hard to isolate
  • −No pricing published on Ylopo's own site
You can't cleanly separate the AI tool's cost from the ad-spend bundle without asking the vendor directly

The AI stack

A speed-to-lead voice agent needs the same voice and telephony layers any phone agent does, plus fast CRM and MLS integration, because the entire value proposition depends on calling within minutes, not hours.

01

Voice (speech-to-text + text-to-speech)

Converts the lead's speech to text and the agent's reply back to speech on the callback

Retell AI (bundled)

Voice engine $0.055/min plus LLM, TTS and telephony, roughly $0.15/min all-in

Teams that want one predictable bill

+ One vendor covers the whole voice pipeline with a published rate card− Less granular control over swapping individual providers

ElevenLabs Agents

$0.08/min on every self-serve plan; $0.16/min burst over the concurrency cap

Voice quality as the top priority

+ About 100ms TTS model latency and natural-sounding voice− LLM and telephony are billed on top

Our pick: Retell for a single predictable bill, since speed-to-lead calling doesn't usually need the absolute lowest-latency speech-to-speech model.

02

Telephony

Carries the outbound call the moment a lead comes in

Retell's built-in telephony

Roughly $0.015/min included in the all-in rate

Fast production builds

+ No separate vendor to reconcile− Less flexible than wiring your own carrier

Twilio direct

$0.008/min inbound, $0.014/min outbound

Fully custom builds

+ Works with any orchestration layer− You wire the number, routing and failover yourself

Our pick: Use your voice platform's native telephony to minimize the time between a lead arriving and the call actually dialing.

03

Reasoning model

Qualifies the lead, holds the conversation, and decides when to book a showing versus route a hot lead to the human agent

Claude Sonnet 5.5

$2/M input, $10/M output

The main qualification conversation

+ Strong tool-calling for calendar booking with low hallucination risk− Needs a fast inference path to keep voice latency low

Claude Haiku 5.5

$0.10/M input tokens (up to 100K), $0.50/M output

High-volume database reactivation campaigns

+ Fast and cheap for reactivation calls and simple confirmations− Less reliable on nuanced qualification questions

Our pick: Sonnet 5.5 for new-lead qualification calls, with Haiku 5.5 handling lower-stakes reactivation outreach to cut cost.

04

CRM & MLS integration

Pulls the lead the moment it arrives and books a real showing instead of a generic calendar slot

Direct CRM webhook (Follow Up Boss, Lofty, kvCORE)

Developer time plus whatever API access your CRM allows

Custom builds

+ Triggers the call within seconds of a new lead landing− Every CRM has its own webhook and API quirks

A vendor's existing integration (Structurely, Ylopo)

Included in the vendor's monthly fee

Buy-SaaS

+ Already built and maintained− Locked to whichever CRMs and portals the vendor already supports

Our pick: Use a vendor's existing integration unless your lead sources or CRM fall outside what Structurely or Ylopo already support.

05

Observability & evals

Reviews call transcripts for missed qualification steps and fair-housing-sensitive answers

Vendor call logs and transcripts

Included on most SaaS tiers

Buy-SaaS

+ No setup− Limited filtering and no custom scoring

Langfuse

Free up to 50K units/mo, then $29+/mo

Custom builds

+ Full trace of every tool call plus transcript− Extra integration work on a voice pipeline

Our pick: Review a weekly sample of real calls, paying extra attention to anything the agent said about a neighborhood or school district.

Reference architecture

The hardest engineering problem is raw speed: the entire value of this category rests on calling within minutes of a lead arriving, so the architecture needs the CRM webhook, the dialer and the model all optimized for latency at the trigger step, not just inside the call itself.

01

Lead arrives

CRM webhook

A new lead from Zillow, an MLS portal or a website form triggers the agent within seconds

02

Outbound call dials

Telephony

The agent calls the lead's number, ideally inside the 5-minute window the research shows matters most

03

Speech-to-text

STT engine

The lead's responses are transcribed in real time as they speak

04

Qualification

Reasoning model

The model asks about timeline, budget and pre-approval status, staying inside a fair-housing-safe script

05

Tool call

Calendar/CRM integration

A showing gets booked, or a hot lead's details are pushed straight to the agent's phone

06

Text-to-speech

TTS engine

The agent's replies are converted to natural speech and streamed to the lead

07

Logging and eval

Observability tool

Every call is logged, and a weekly sample is reviewed for qualification accuracy and fair-housing compliance

Estimated cost per request

~$0.11-$0.18 per minute of call, including voice, model and telephony costs, before any vendor per-seat or per-action fee

Cost calculator

Drag the sliders to model your actual usage. The numbers update in real time so you can stress-test economics before writing a single line of code.

Estimate your monthly cost at your own lead volume and average call length.

50 leads
10500
3 minutes
110

Estimated monthly cost

$91.50

≈ $1,098 per year

CRM seat with AI included (Follow Up Boss Grow)$69.00
DIY voice-stack cost per lead call (3-minute average at $0.15/min)$22.50
Fixed: $69.00/moVariable: $22.50/mo

Calculator notes

  • The fixed line models Follow Up Boss's $69/user/mo Grow tier, which includes AI features on every plan.
  • The per-lead line models a DIY Retell/ElevenLabs stack at roughly $0.15/min for a 3-minute average call; adjust the call-length slider for longer qualification conversations.
  • Structurely and Ylopo's reported pricing isn't modeled here since their public figures conflict with each other; get a written quote before comparing them directly.
  • A custom agency build replaces the per-lead line with your own voice-stack bill, typically $50-$300/mo at this volume, plus the upfront build cost.

Build it yourself with vibe-coding tools

Retell lets a technical agent or small team assemble a speed-to-lead voice agent from a CRM webhook, a system prompt and a calendar tool, without paying a per-seat vendor fee.

Time to MVP

A few days for a basic version, 2-4 weeks to get consent capture, fair-housing-safe scripting and the CRM trigger production-ready

Total cost to MVP

$0-$100 (Retell's pay-as-you-go plan with $10 free credit, plus usage)

You'll need

A CRM with a webhook or API that fires the instant a new lead arrivesWritten TCPA consent language covering AI-generated outbound callsA calendar or showing-scheduling tool with an API (ShowingTime, Calendly, Google Calendar)A written, fair-housing-safe script that avoids any comment on neighborhoods, schools or demographicsAccounts with a voice provider and a model provider (Anthropic or OpenAI)

Starter prompt

Retell AI Prompt

Create a new Agent in Retell using Claude Sonnet 5.5 as the model, triggered by a webhook from your CRM the instant a new lead arrives. Set the greeting to: 'Hi, this is {Agent Name}'s AI assistant calling about your interest in {property or search criteria}, is now an OK time to talk?' Give the agent this system prompt: 'You are a real estate lead-qualification voice agent for {Agent Name}. Ask about the lead's timeline to buy or sell, whether they're pre-approved or working with a lender, and their target area or price range. Use the book_showing tool to schedule a showing if they want one, or the flag_hot_lead tool to immediately notify the human agent if the lead sounds ready to move quickly. Never comment on a neighborhood's schools, safety, or demographics, and never discuss a specific population of a building or area; if asked, say: "I can't speak to that, but {Agent Name} can tell you more about the area when you connect." Never claim to be human if asked directly. This call is recorded for quality purposes, consistent with the greeting already given.' Add two tools: book_showing pointed at your scheduling system, and flag_hot_lead pointed at an SMS or Slack alert to the human agent. Turn on call recording, and log every call's qualification answers to your CRM for follow-up.

Paste this into Retell AI

Follow-up prompts (run in order)

  1. 1

    Add a database-reactivation flow that calls leads untouched for 90+ days

  2. 2

    Add a follow-up SMS sent automatically after every call with a link to schedule online

  3. 3

    Add a Spanish-language path that detects the caller's language and switches voices

  4. 4

    Add a nightly report listing every lead flagged as hot and how quickly the human agent followed up

Expected output

An outbound call placed within minutes of a new lead arriving, a qualified lead with timeline and budget captured in your CRM, and a real showing booked or a hot lead flagged straight to the human agent's phone.

Known gotchas

  • !TCPA consent has to be captured before the first outbound call, not assumed from a lead form alone
  • !The entire category depends on speed, so any delay between the lead arriving and the call dialing undermines the whole point
  • !Fair-housing-safe scripting has to be a hard rule, not left to the model's judgment, since a casual answer about a neighborhood can create real legal exposure
  • !Vendor-advertised latency figures are often optimistic, and a laggy first call makes a worse first impression than no call at all
  • !Call-recording consent and AI disclosure both need to happen at the very start of the call, not partway through
  • !A lead who doesn't answer still needs a documented, compliant follow-up sequence, not endless re-dialing

Compliance & risk reality check

This is the one voice-agent category on this site built entirely around outbound calling, which puts TCPA and Fair Housing front and center from day one.

Critical

TCPA and FCC AI-voice rules for outbound calling

The FCC's February 2024 Declaratory Ruling (24-17) holds that AI-generated voices count as an "artificial voice" under the TCPA, requiring prior express consent before an outbound AI call, and the one-to-one consent rule was later vacated by the 11th Circuit in January 2025, which affects how shared lead-gen consent works.

Mitigation: Capture written consent naming AI-generated calls at the point of lead capture, scrub against the Do Not Call list, and disclose the AI at the start of every call.

Critical

Fair Housing Act

The agent's scripting can't comment on a neighborhood's schools, safety, demographics or any protected characteristic, since that risks steering or a discriminatory statement under 42 U.S.C. §3604(c).

Mitigation: Hard-code a redirect for any fair-housing-sensitive question, and give every caller the same consistent, scripted answer regardless of who they are.

Critical

Call recording and wiretap law

Ambriz v. Google and Taylor v. ConverseNow both survived motions to dismiss in 2025 on the theory that an AI vendor capable of using call recordings to train its own models can be an unlawful eavesdropper.

Mitigation: Disclose recording and AI at the start of every call, and bar every vendor in the chain from training on your call data by contract.

Important

AI disclosure on the call

California's BOT Act, Utah's AI Policy Act and the EU's Article 50 transparency rule all push toward telling a lead they're talking to AI.

Mitigation: State clearly in the greeting that an AI assistant is calling, and never claim to be human if asked directly.

Build vs buy: the real math

3-6 weeks for a RapidDev build; a few days for a basic Retell version

Custom build time

$13K-$25K for an agency build (up to $35K for multi-system or compliance-heavy work); $0-$100/mo for DIY

One-time investment

Roughly 150-250 leads a month, where a per-seat or per-action vendor fee starts to exceed the amortized first-year cost of a custom build

Breakeven vs buying

A solo agent on Follow Up Boss's $69/mo Grow tier is paying $828/year for AI features included in a CRM they likely already need, which is hard for any custom build to beat at that volume. A $13K-$25K custom build amortized over a year costs $1,083-$2,083/mo, which only starts to make sense for a team running enough lead volume, or enough distinct lead sources and CRMs, that a packaged tool's per-seat or per-action pricing (Structurely's reported $0.12/action, for instance) starts adding up faster than a flat model-token cost would. For most solo agents and small teams, buying stays the right call.

Skip the DIY — RapidDev builds the production version

A Lovable MVP gets you a demo. Production needs auth that doesn't leak data, AI calls that don't bankrupt you, observability when models drift, and code you can audit. That's what we ship through our AI app development service.

1

Discovery call (free)

30 min

We map your exact real estate voice agent use case: who uses it, target volume, AI model choice, integrations, compliance scope. You get a detailed scope document and fixed-price quote within 48 hours.

2

AI-accelerated build

3-6 weeks for a RapidDev build; a few days for a basic Retell version

Our engineers use Claude Code, Lovable, and custom tooling to ship 3–5x faster than agencies. You see weekly progress in a staging environment — not a black box.

3

Launch + handoff

1 week

We deploy to your infrastructure, transfer the GitHub repo, set up CI/CD and monitoring, and train your team. You own 100% of the source code, prompts, and model configurations.

What you get

Full source code (GitHub repo)
Deployed on your infrastructure
Audited prompts & model configs
Cost monitoring + budget alerts
3 months of bug-fix support
Direct Slack channel with engineers

Timeline

3-6 weeks for a RapidDev build; a few days for a basic Retell version

Investment

$13K-$25K for an agency build (up to $35K for multi-system or compliance-heavy work); $0-$100/mo for DIY

vs SaaS

ROI in Roughly 150-250 leads a month, where a per-seat or per-action vendor fee starts to exceed the amortized first-year cost of a custom build

Get your free estimate

30-min call. Fixed-price quote within 48 hours. No commitment.

Frequently asked questions

How much does an AI voice agent for real estate cost?

Follow Up Boss includes AI features starting at $69/user/mo. Structurely is reported at roughly $179-$499/mo plus per-action fees, and Ylopo is quote-based, often $1,000+/mo once ad spend is included. A custom RapidDev build runs $13K-$25K upfront (up to $35K for complex, multi-system work), plus $50-$300/mo in ongoing costs. A DIY build on Retell costs roughly $0.15 per minute of call time.

How long does it take to set up?

Follow Up Boss's AI features are available as soon as you're on a paid plan. Structurely and Ylopo typically take 1-4 weeks to connect your lead sources. A custom agency build takes 3-6 weeks, and a basic Retell version can work within a few days, though production-ready consent capture and scripting takes 2-4 weeks.

Can RapidDev build this for us?

Yes. RapidDev has shipped 600+ apps and offers a free 30-minute consultation to scope your lead sources, CRM and compliance needs before you commit to anything.

Is it legal to have an AI call new leads automatically?

Yes, but only with proper TCPA consent captured at the point the lead opts in, AI disclosure at the start of the call, and a Do Not Call scrub. The FCC's 2024 ruling treats AI-generated voices as "artificial voices" under the TCPA, so the same consent rules that apply to any outbound AI call apply here.

How fast does the agent actually call a new lead?

A well-built agent calls within minutes of the lead hitting your CRM, which is the entire point: the 2007 Lead Response Management Study found a 5-minute response made a lead 100 times more likely to be reached and 21 times more likely to be qualified than a 30-minute response.

Can it answer questions about a specific neighborhood?

It can share listing facts (price, square footage, open-house times) but should never comment on a neighborhood's schools, safety or demographics, since that risks a Fair Housing Act violation. A well-built agent gives a scripted redirect to the human agent for anything in that territory.

Can it work with Follow Up Boss, Lofty or kvCORE?

Follow Up Boss has AI built in natively. Structurely and Ylopo both integrate with the major real estate CRMs including Follow Up Boss, Lofty and kvCORE through webhooks or direct integrations, and a custom build can connect to any of these through their APIs.

RapidDev

Want the production version?

  • Delivered in 3-6 weeks for a RapidDev build; a few days for a basic Retell version
  • You own 100% of the code
  • AI cost monitoring built in
Get a free estimate

30-min call. No commitment.

Matt Graham

Written by

Matt Graham · CEO & Founder, RapidDev

1,000+ client projects delivered. Columbia University & Harvard Business School alumnus, U.S. Navy veteran. About the author →

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