Top AI Receptionists for Real Estate: Pricing and Reviews

Written by: Matt Beucler, CEO, Plura AI

Key Takeaways for Real Estate Teams

AI receptionists answer calls in under 5 seconds around the clock. They capture leads that would otherwise hit voicemail and cost agents an average of $56,000 per year in lost commissions.³
Core capabilities include natural conversation, lead qualification on budget, timeline, and financing, direct calendar booking, SMS follow-ups, and native CRM integrations with Follow Up Boss and kvCORE.
Pricing ranges from $15 to $350 per month for AI-only platforms. Transparent per-agent models scale cleanly and help teams avoid surprise overage fees during peak periods.
Key evaluation criteria include native CRM depth, calendar sync, after-hours coverage, SMS automation, compliance tools, and clear rules for escalating complex or emotional calls to humans.
Plura AI delivers carrier-grade infrastructure with stateful conversation memory across voice, SMS, and AI webchat. Book a live demo to see how it qualifies real estate leads and pushes them straight into your CRM.

How AI Receptionists Work in Real Estate

An AI receptionist is an AI-powered virtual assistant that answers calls 24/7, qualifies leads, books showings, and connects to real estate CRMs. A modern AI receptionist holds a natural conversation and collects the information your team needs before a human ever picks up the phone. 24/7 call answering keeps coverage consistent across showings, evenings, and weekends.

Every credible platform should deliver a core feature set.

24/7 availability answers on the first ring during showings, evenings, and weekends. A majority of real estate inquiries arrive outside traditional business hours, with peak times in the evenings and on weekends.
Natural language processing holds human-like conversations instead of forcing callers through menu trees.
Lead qualification collects budget, timeline, property type, and financing status so agents focus on real opportunities.
Calendar scheduling books showings directly into Google Calendar, Outlook, Calendly, or Cal.com.
SMS follow-up sends text confirmations and follow-ups automatically. Text messages carry a 98% open rate versus approximately 20% for email.³
CRM integration pushes call logs, transcripts, and lead details to Follow Up Boss, kvCORE, HubSpot, or Salesforce.

The difference from a human answering service is structural. AI receptionists are available instantly and scale cost-effectively. They never miss a call, while human services are limited by hours, staffing, and cost per call.

Real-World Pricing for AI Receptionists in Real Estate

AI receptionist pricing for real estate typically ranges from about $15 to $350 per month. Human or hybrid services can reach $500 or more, depending on call volume, features, and whether you choose a self-serve platform or a managed service.

Self-serve AI platforms (for example, Plura AI) use transparent per-agent pricing. See Plura’s pricing page for current rates. Plura AI’s Agency Plan is priced at $7,500 per month (billed yearly), with AI talk time billed separately at $14–$16 per hour, with 100% talk utilization replacing the 40% utilization typical of human agents.
Managed AI receptionist services (for example, Smith.ai) start around $95 per month for 50 calls⁴ and scale by call volume with no annual plan.
Flat-rate AI phone systems (for example, Allo) charge about $18 per user per month billed annually with unlimited AI answering⁴, which keeps costs predictable regardless of call volume.
Metered add-on models (for example, CloudTalk) charge $99 per month for 200 minutes, with custom rates above 10,000 minutes.
Human answering services (for example, Ruby) start at $245 per month for 50 minutes⁴ and scale to $705 per month for 200 minutes.

The ROI case is direct. Harvard Business Review research found that companies responding within five minutes are 100 times more likely to connect with a prospect than those waiting 30 minutes.³ With the average real estate lead costing $30 to $53 and converting at 0.4% to 1.2% industry-wide, a single extra closing per month often covers the cost of the tool many times over.³

Hidden fees can quietly inflate the headline price. Setup charges add a one-time cost, overage fees penalize you exactly when you are busiest, and annual contracts can lock you in with no exit window. Metered models get expensive quietly during peak periods, such as when a listing goes live or an open house wraps. Run your numbers through Plura’s ROI calculator to see your potential savings before committing to any platform.

Top AI Receptionist Options for Real Estate Compared

The current market includes a mix of hybrid services, self-serve platforms, and enterprise voice infrastructure. The main differences show up in pricing model, CRM integration depth, and whether a human safety net is included. Use these distinctions to match vendors to your team’s needs.

Smith.ai pairs AI with human receptionists. Its AI Receptionist tier starts at about $95 per month for roughly 60 calls, while its human virtual receptionist plans start at $292.50 per month for 30 calls. Smith.ai offers a human safety net on complex calls and has a Follow Up Boss connection for forwarding leads into outbound campaigns, with call logging via Zapier. This setup works well for agents who want live escalation on high-touch calls.

CloudTalk is an inbound and outbound dialing system with an AI voice agent add-on. The AI Receptionist add-on costs $99 per month for 200 minutes, on top of a base plan from $25 per user per month. Native CRM integrations cover HubSpot, Salesforce, Pipedrive, and Zoho. Follow Up Boss requires a Zapier bridge. This platform fits growing teams that run heavy inbound and active outbound.

Aira focuses on real estate with AI reception, showing scheduling, and lead qualification. Aira’s AI receptionist pricing starts at $24.95 per month for a Starter plan with 30 calls included.⁴ It suits solo agents and small teams that want a purpose-built real estate tool.

Ylopo bundles AI voice into a broader lead system at $700 to $1,200 per month all-in.⁴ This model works for teams spending $3,000 or more per month on paid leads that want a fully integrated lead-generation and follow-up stack.

Structurely offers native integrations with Follow Up Boss, kvCORE, Chime, BoomTown, and Sierra Interactive without requiring Zapier. Contract minimums put small teams around $299 per month. This option fits teams already on real estate-native CRMs that want deep two-way sync.

Plura AI is the recommended solution for real estate professionals who need carrier-grade infrastructure and stateful conversation memory. Plura operates its own FCC-licensed audio bridging carrier, so voice originates on Plura’s domestic network instead of a third-party CPaaS (Communications Platform as a Service). AI voice agents answer in under 5 seconds, 24/7. Native integrations with Follow Up Boss and kvCORE push tagged leads with full call transcripts directly into your CRM, with no Zapier bridge required. Stateful conversation memory across voice, AI SMS, and AI webchat keeps context aligned so a lead who texted at 9 AM is recognized when they call at noon. Compare plans and rates.

Book a live demo with Plura to watch the AI voice agent handle a real estate lead qualification call from first ring to CRM entry.

What to Verify Before Choosing an AI Receptionist

Vendor capabilities vary widely, so use this checklist as a decision framework rather than a simple feature list.

CRM integration depth: Verify native integration with Follow Up Boss, kvCORE, Salesforce, or HubSpot, not only Zapier bridges. Confirm that the vendor can push tagged leads with call transcripts into your CRM automatically. Run a live demo against your actual CRM and require the vendor to push a test lead with correct tags and fields before purchasing.
Calendar sync: Require direct booking into Google Calendar, Outlook, Calendly, or Cal.com for showing scheduling, with availability-window enforcement to prevent double-bookings.
Lead qualification criteria: Look for configurable questions for budget, timeline, location, and financing or pre-approval status.
After-hours and weekend coverage: Your AI receptionist should cover evenings and weekends consistently, since many inquiries arrive outside business hours.
SMS and text follow-up: Expect instant text confirmations and follow-ups. Text messages have a 98% open rate versus approximately 20% for email.
Call recording and transcription: Ensure full transcripts write back to the CRM for compliance review and follow-up context.
Compliance tools: Look for real-time DNC (Do Not Call) scrubbing, TCPA (Telephone Consumer Protection Act) consent management, and quiet-hours enforcement. Consult qualified counsel regarding your specific obligations under applicable law.²
Scalability: Confirm that the platform can grow from solo agent to team without forcing a vendor switch.

AI Receptionist vs. Human Answering Service for Real Estate

The choice between AI and human answering depends on call type, volume, and budget.

AI receptionists answer in under 5 seconds, cost $25 to $150 per month for AI-only coverage, and are available 24/7 with no staffing gaps. AI contact centers provide 24/7/365 availability compared to business hours plus shifts for traditional operations. Limitations include reduced emotional range for complex negotiations and an inability to improvise outside configured workflows.

Human answering services provide empathy and judgment for high-touch luxury clients and can handle genuinely novel situations. Limitations include higher cost at $245 to $700 or more per month, restricted staffing hours, and variable quality by agent.

Hybrid approaches combine AI with human escalation. Vendors such as Smith.ai route routine lead intake to AI and escalate complex or emotionally charged calls to humans. For most real estate lead intake tasks such as answering calls, qualifying buyers, and booking showings, AI delivers stronger ROI, while humans handle edge cases.

For the majority of real estate lead intake, AI receptionists deliver better ROI. A single extra closing per month from faster response typically covers the annual cost of the tool. Run your numbers through Plura’s ROI calculator to see what faster response time is worth to your business.

Red Flags and Common Limitations

AI receptionists have real constraints. Effective evaluation requires clarity on where they struggle.

Complex negotiations: AI should not negotiate price or terms. When a lead asks whether your agent can meet them at $625K instead of $650K, the AI should escalate to a human.
Emotional conversations: Grieving heirs, distressed sellers, or upset clients need human empathy. AI cannot read a grieving caller or improvise outside its script.
Novel situations: Questions outside the AI’s configured knowledge can produce confident wrong answers. Favor platforms with explicit escalation rules that trigger a warm transfer to a human agent.
Fair Housing compliance: Default scripts may not recognize protected-class questions such as “is this a family neighborhood?” or “how are the schools?”² Have your broker-in-charge review every script branch before going live.
Technical dependencies: Internet and power outages can disrupt service. Verify your vendor’s uptime SLA and failover architecture.
Compliance risks: Outbound calls and SMS involve consent management, and TCPA fines can range from $500 to $1,500 per violation.² Consult qualified counsel regarding your specific obligations.

Test the AI with real scenarios before committing. Run messy calls, background noise, urgent clients, and unqualified leads to catch failure modes before they reach actual prospects.

How to Choose the Right AI Receptionist for Your Business

Use this decision framework based on your team size, call volume, and CRM.

Missed calls per week: If you miss fewer than 20 calls per week, a basic AI receptionist may suffice. At 30 to 60 or more missed calls, you need a robust platform with native CRM integration.
Budget range: Solo agents can start at $50 to $150 per month. Teams need scalable pricing that does not penalize peak volume.
CRM alignment: Verify native integration with Follow Up Boss, kvCORE, or your platform of choice, not only Zapier. CRM lock-in can hide in the fine print, so confirm your CRM is supported natively before committing.
Bilingual support: English and Spanish coverage is critical in many U.S. markets.
Call volume pattern: If volume spikes when listings go live, avoid metered pricing that penalizes peak periods.

Plura AI is a strong fit for most real estate professionals who need carrier-grade infrastructure and deep CRM integration.

24/7 AI voice agents that answer in under 5 seconds
Native Follow Up Boss and kvCORE integrations with no Zapier bridge
AI SMS for instant lead follow-up across every channel
Stateful conversation memory across voice, SMS, and AI webchat
Transparent pricing with a 90-day opt-out window
SOC 2, HIPAA, ISO-related controls, TCPA compliance tools, and DNC compliance features built into the platform to support your compliance program¹

Ready to stop missing leads? Compare plans and rates, or run your numbers through Plura’s ROI calculator to see your potential savings. Book a live demo with Plura today.

Frequently Asked Questions

How much does an AI receptionist cost for real estate?

AI receptionist pricing for real estate ranges from roughly $15 to $350 per month. Human or hybrid services can reach $500 or more, depending on call volume, features, and whether you choose a self-serve platform or a managed service. Self-serve AI platforms like Plura use transparent per-agent pricing with the Agency Plan priced at $7,500 per month (billed yearly), with AI talk time billed separately at $14–$16 per hour, with 100% talk utilization replacing the 40% utilization typical of human agents. Flat-rate phone systems with built-in AI answering start around $18 per user per month. Managed hybrid services like Smith.ai start around $95 per month for 50 calls. Human answering services start at $245 per month and scale quickly with volume. The pricing model matters as much as the headline number, because metered plans get expensive during high-volume periods like open house weekends or new listing launches. Always check for setup fees, overage charges, and annual contract terms before committing.

Can an AI receptionist book showings?

Yes. AI receptionists integrate with Google Calendar, Outlook, Calendly, and Cal.com to book showings directly into your schedule. The AI checks your availability windows in real time, avoids double-bookings, and sends the caller a confirmation text automatically. For occupied listings with seller-specific showing rules, some platforms recommend starting with showing requests rather than direct bookings until you confirm the AI handles your specific workflow correctly. Plura’s AI voice agents handle the full booking flow, from qualification to calendar entry to SMS confirmation, within a single call.

What CRM integrations should I look for in an AI receptionist for real estate?

For real estate, prioritize native integrations with Follow Up Boss, kvCORE, HubSpot, and Salesforce. Many vendors only offer Zapier bridges, which add a setup step, a potential point of failure, and ongoing maintenance. A native integration pushes tagged leads with full call transcripts directly into your CRM automatically, without a third-party middleware layer. Before purchasing, require the vendor to push a test lead into your actual CRM with the correct tags and fields populated. Plura offers native Follow Up Boss and kvCORE integrations alongside HubSpot, Salesforce, and 50+ additional tools across its integration directory.

Is an AI receptionist worth it for realtors?

For agents who miss calls, AI receptionists usually pay for themselves quickly. Seventy-eight percent of buyers work with the first agent who responds, and the average agent takes over 917 minutes to respond to a new lead inquiry. An AI receptionist that answers in seconds captures leads that would otherwise go to voicemail and never call back. The math is straightforward. The average real estate lead costs $30 to $53, and each missed or poorly handled lead represents roughly $7,500 in potential commission. A single extra closing per month from faster response typically covers the annual cost of the tool many times over. The break-even point for many agents running paid Zillow or Facebook leads sits around 30 to 60 inbound calls per week.

What should an AI receptionist never handle in real estate?

AI receptionists should avoid negotiating price or contract terms, handling emotionally distressed callers such as grieving heirs or distressed sellers, answering questions that require licensed real estate judgment, or responding to protected-class questions under the Fair Housing Act. Questions like “is this a family neighborhood?” or “how are the schools?” are potential Fair Housing tripwires, so scripts should redirect these to a licensed agent. Any call involving an active contract, offer, inspection, or closing should route immediately to a human. The AI’s role is first-touch qualification and booking. Complex judgment and emotional support stay with your team. Always have your broker-in-charge review AI scripts before going live.

Can an AI receptionist handle after-hours calls?

Yes, and this remains one of the strongest use cases. As noted earlier, the majority of inquiries arrive after traditional business hours, with peak times in the evenings and on weekends. AI receptionists answer 24/7, qualify leads, and book showings even when you are in a showing, at an open house, or asleep. Platforms like Plura respond in seconds on every call regardless of time of day, and stateful conversation memory keeps a late-night caller fully contextualized when your team follows up the next morning.

¹ Plura AI maintains SOC 2, HIPAA, ISO, and GDPR posture as part of its platform infrastructure. References to compliance frameworks in this article describe Plura’s platform capabilities and do not constitute a guarantee that any customer using Plura will themselves be compliant with applicable laws or standards. Customers remain solely responsible for their own regulatory obligations, certifications, consent management, recordkeeping, and the claims they make to their own end users. Consult qualified legal counsel for guidance specific to your use case.

² This article describes regulatory frameworks at a general level and does not constitute legal advice. Laws and regulations vary by jurisdiction, change over time, and apply differently depending on facts and circumstances. Readers should consult qualified legal counsel before making compliance decisions.

³ Performance figures, customer outcomes, and industry statistics referenced in this article are drawn from cited third-party sources or Plura customer case studies. Individual results vary based on implementation, use case, industry, audience, and execution. Past or aggregate performance is not a guarantee of future results.

⁴ References to third-party products, services, companies, or research are made for informational and comparative purposes only. Plura AI is not affiliated with, endorsed by, or sponsored by any third party named in this article unless explicitly stated. Trademarks and product names referenced remain the property of their respective owners.

This article is provided for informational purposes only and reflects Plura AI’s understanding at the time of publication. Product capabilities, integrations, and specifications are subject to change. For the most current information, visit plura.ai.

This article was produced with the assistance of AI tools and reviewed by Plura AI prior to publication.