Best AI receptionists for real estate agents (2026)

What is the best AI receptionist for real estate agents?

What should a real estate agent look for in an AI receptionist?

A listing line is a sales line: an agent’s phone rings hardest when the agent cannot answer, during a showing, at a closing table or at a Saturday open house. The calls are leads, not service requests, and the agent who calls back first usually gets the buyer. Five tests matter. First, speed to lead: every call answered at once, with a text back to anyone who hangs up. Second, qualification you can act on: buying or selling, pre-approval, price range and timeline as fields you can sort. Third, showings booked from your real calendar, not requested. Fourth, every lead in Follow Up Boss, kvCORE or HubSpot, tagged by listing source. Finally, fair housing in the script, so answers stay on the property and the showing. For example, call each vendor, hang up, and time the text back yourself. Each test is covered below.

Speed to lead

A buyer who sees your sign or a portal listing will often call the next agent if nobody picks up. The receptionist should answer every call at once, including two that arrive together, and text back anyone who hangs up. Look at the published lead-response research, then time each vendor yourself: call, hang up, and see how long the text takes.

Qualification you can act on

The useful questions are short: buying or selling, already working with an agent, pre-approved or paying cash, price range, areas, and when they want to move. For sellers, the address, the timeline and whether the home is listed with someone else. Ask whether those answers reach you as fields you can sort, or as a paragraph you have to read.

Showings booked, not requested

The receptionist should offer real times from your calendar, leave travel time between showings, follow each listing’s showing instructions and text the buyer a confirmation. A “showing request” you have to call back about is a second chance for another agent.

Your CRM, tagged by source

Every lead should land in Follow Up Boss, kvCORE, HubSpot or whatever runs your follow-up, tagged with the listing or portal that produced it, so your drip campaigns start and you can see which source closes. Ask whether the integration is native, through Zapier, or an email.

Fair housing in the script

Callers ask whether a street is safe or which schools are good. The receptionist speaks for you, so its answers should stay on the property and the showing. Review the script with your broker before it takes a single call.

Which option suits which agent or team?

Keres AI (Remi)

Remi is the AI receptionist from Keres AI. Remi answers listing and sign calls in two rings, 24/7, asks whether the caller is buying or selling, already has an agent and is pre-approved, asks about the move timeline, and books the showing into Google Calendar or HubSpot during the call. Remi also answers website chat, the text line and form enquiries, and texts back missed callers within 60 seconds. For example, a buyer who calls about a yard sign during a Saturday showing is qualified and booked for a showing before the agent is back in the car. Billing is one monthly rate with included minutes, then per minute, with no per-call fees. Found runs the website, Google Business Profile, reviews and listings from $249 a month. Limitations: the Remi price is quoted, not published; Remi answers in English only; and Remi does not write to Follow Up Boss today, so leads go to HubSpot.

Allo

Allo is a business phone system with an AI receptionist add-on. Its real estate page says it answers, texts back missed leads and books viewings while you are at a showing, then syncs the lead to your CRM; its pricing page names HubSpot, Pipedrive, Attio and Salesforce. The add-on is $32 a month per agent billed yearly, on top of a paid plan (Business from $32 per seat billed yearly, $45 monthly). It suits teams ready to move their phone line to Allo. Allo notes its pricing is early and can still change.

My AI Front Desk

My AI Front Desk answers phone, text and website chat with one AI. Its real estate page says it qualifies buyers on budget, timeline and neighborhood, books showings and follows up when a showing is missed. The plan that answers calls is $99 a month, or $79 billed annually, with 200 voice minutes plus chat, texting and a built-in CRM. It suits solo agents who want one inexpensive tool; a busy listing month can run past 200 minutes.

Rosie

Rosie is a self-serve AI answering service with English and Spanish on every call. Its real estate page says it answers questions about your listings and showing availability and flags hot leads. The $49 plan includes 250 minutes and sends appointment links by text; booking straight onto your calendar starts on the $149 Scale plan with 1,000 minutes. It suits agents with Spanish-speaking buyers and a modest call volume.

Smith.ai

Smith.ai pairs AI with live receptionists. Its real estate page says it qualifies buyers and sellers on budget, pre-approval and timeline, schedules showings, and works with Follow Up Boss, kvCORE and LionDesk through APIs or custom workflows. Billing is per call: the AI tier is free for 25 calls a month, then $3 a call; human plans start at $300 for 30 calls. It suits teams that want a person for delicate calls, though a busy open-house weekend is billed call by call.

Ruby

Ruby answers with US-based live receptionists, 24/7. Its real estate page says agents set their status in the Ruby app during a showing and that Ruby works with scheduling platforms to book appointments. Plans start at $250 a month for 50 receptionist minutes. It suits agents whose clients expect a person every time; detailed buyer qualification depends on the instructions you give the receptionists.

How did we choose these real estate options?

The comparison below is a review of published facts, not a test of how well each service qualifies a buyer. Each service here has a page aimed at real estate agents on its own site, linked in the table. We recorded four facts for each option on October 11, 2026. First, who answers: AI, people or both. Second, how the service bills: per call, per minute or per agent seat. Third, the lowest plan the vendor publishes. Finally, how the vendor’s own real estate page describes the fit, such as CRM integrations. For example, Smith.ai names Follow Up Boss, kvCORE and LionDesk, while Allo names HubSpot, Pipedrive, Attio and Salesforce. There is no ranking or overall score. Keres AI wrote the page and sells Remi, which is listed under the same columns and the same rules.

How much does an AI receptionist cost for a real estate agent?

For the options here, published starting prices are $49 a month (Rosie, 250 minutes), $99 (My AI Front Desk, 200 minutes) and $32 per agent for Allo’s add-on on top of a seat. Smith.ai’s AI tier is free for 25 calls a month, then $3 a call, and Ruby starts at $250 for 50 live minutes. Keres AI quotes Remi to your lead volume. For comparison, the U.S. Bureau of Labor Statistics puts the national median wage for receptionists at $38,010 a year (BLS, May 2025), before payroll taxes and benefits. Compare the cost with one commission, and size the plan to your busiest listing weekend. For example, a busy open-house weekend is billed call by call on Smith.ai and minute by minute on Rosie. The AI receptionist cost guide shows what 100 calls a month cost on each published plan, and the lead response time calculator estimates what slow callbacks cost you.