What "AI chatbot for real estate" actually means in 2026
Real estate is one of the few SaaS categories where "chatbot" stops being a website widget question and starts being a workflow question. A buyer who hits an agent's listing page at 11pm on a Saturday expects an answer about square footage, school district, or whether the seller will accept FHA, and the agent is asleep. The chatbot's job is not just to deflect a support ticket; it is to capture that buyer's phone number, qualify them on price range and timeline, and book a showing for Monday before they bounce to Zillow.
That shape is meaningfully different from e-commerce chat. Three things matter more for real estate than for almost any other vertical:
- SMS as the primary follow-up channel. Agents communicate with clients via text. A real-estate chatbot that captures a website lead and emails it to the CRM is doing half the job; the lead-quality drop between an instant SMS reply and a next-morning email is roughly 5x according to NAR follow-up data. Structurely, Lofty, Real Geeks Geek AI, and Ylopo Raiya all built SMS into the core product. ChatRaj and generic web chatbots do not.
- Listing-lookup actions against MLS or IDX. The visitor asks "is this house still available" or "what is the HOA fee on 1242 Oak Lane." A bot that cannot read the MLS feed has to either guess or punt to the agent. Roof AI, Real Geeks, and Lofty have first-class IDX integration. Structurely treats this as a hand-off-to-human moment. ChatRaj indexes whatever your IDX site renders to HTML but does not query the MLS directly.
- After-hours and weekend coverage. Real-estate inquiries cluster at 7-10pm weeknights and 11am-3pm Saturday and Sunday, which is exactly when the agent is showing other houses or with family. The bot's job overnight is qualification: get the name, the phone, the budget, the timeline, and the property of interest, then deliver a ranked lead to the agent's CRM by 7am Monday.
Then there is a fourth axis that gets less marketing attention but matters more legally: fair-housing language compliance. Under HUD's 2024 guidance, the Fair Housing Act applies to AI-generated communications in real estate. A chatbot that asks a visitor "are you looking in a family-friendly neighborhood" is potentially steering by familial status. A bot that volunteers school district quality unprompted is potentially steering by race-correlated proxies. Vendors who built specifically for real estate (Structurely, Lofty, Roof AI) have prompt-level guardrails for this. Generic vendors (Tidio, Chatbase, ChatRaj) do not, and the prompt engineering is on you.
A solo agent who picks the wrong vendor on SMS, MLS, or fair housing typically wastes 6-12 months and several thousand dollars before realizing the friction is structural, not a tuning problem.
Evaluation criteria we used
Six things we scored every vendor on, weighted by what actually drives ROI on a working real-estate site.
Price per qualified lead at 200 inbound leads per month. Normalized across vendor pricing pages and recent third-party reviews. Headline plan prices ignore add-ons (Geek AI on the Real Geeks Establish plan, Raiya on the Ylopo suite, AI conversations on Tidio Lyro). We use all-in cost for a working setup.
MLS or IDX integration depth. Does the bot query a live MLS feed, sync via IDX broker integration, or simply crawl whatever your IDX site renders? Real-time price and status changes matter; a bot that says "yes that listing is available" when it sold yesterday damages trust.
SMS channel as a first-class citizen. Out-of-the-box SMS provisioning, A2P 10DLC registration support, conversation continuity between the web widget and SMS thread. Not "you can plug in Twilio."
Lead-capture field set. The minimum viable real-estate lead is name, phone, email, property of interest, timeframe, and financing status (cash, pre-approved, needs lender). Vendors who capture only email are leaving most of the deal-qualifying intent on the table.
After-hours and weekend coverage. Does the bot operate continuously without per-conversation cost spikes when an agent is asleep? Flat-quota vendors do; per-conversation overage vendors penalize the exact moments you most need coverage.
Fair-housing prompt guardrails. Does the vendor publish their fair-housing prompt scaffolding, or have they at least been audited against HUD's 2024 guidance? Real-estate-specific vendors generally have. Generic vendors generally have not.
We deliberately do not score on logo-counts, G2 review volume, or YC affiliation. Those are weak proxies for whether a vendor's bot will actually fill your agent's calendar with showings.
#1 Structurely: the 12-month AI ISA
Structurely is the category-defining real-estate-specific vendor. Their AI, branded as Aisa Holmes, engages leads via SMS, web chat, and Facebook Messenger and nurtures them across 12-plus months until they are ready to transact, then hands off to a human agent. The product is a lightweight CRM plus the Aisa Holmes virtual inside sales agent (ISA), not a generic chatbot.
Pricing as of May 2026 is Starter at $179/mo (1 seat, 50 leads/mo), Growth at $299/mo (10 seats, 125 leads), Build at $499/mo (30 seats, 225 leads), with an alternative $3-per-lead model for variable volume.
Pros. Built for real estate from day one. Aisa Holmes has empathy scripts for divorcees, new parents, and other life-stage events, and the team deliberately adds typos and reply delays so the conversation feels human. SMS-first follow-up means leads get qualified in real time, not "tomorrow morning." Fair-housing prompt guardrails are baked into the conversation templates. The 12-month nurture window is unique in this list; nobody else owns a lead that long.
Cons. Lead-bucket pricing means a viral month can run you out before the cycle ends. The product is genuinely opinionated, which is great if your sales process matches their template and friction if it does not. No deep MLS integration; the bot qualifies the lead, then routes to the agent who pulls the listing data. Pricing is high relative to generic chatbots if you only need website chat.
Best for. Agents and small teams doing 50-225 leads/mo who want a real virtual ISA, not just a widget. Brokerages with predictable monthly lead volume from paid sources (Zillow, Realtor.com) where the per-lead cost math works out. Less ideal for solo agents at sub-$50K GCI who need every dollar working.
#2 Lofty (formerly Chime): the all-in-one CRM plus AI
Lofty (rebranded from Chime in 2023) is the integrated real-estate stack: CRM, IDX website, marketing automation, and the Lofty AI Assistant in a single console. The pitch is "stop stitching five tools together."
Pricing in 2026 starts at $449/mo for the Starter plan (solo agents or teams up to 3 users) with the AI Assistant included, scaling to $649/mo Advanced (up to 10 users) and $899/mo Professional (up to 20 users). Enterprise is quote-only. Realistic all-in cost for a team of 3-5 agents lands at $1,200-$2,000/mo once you add the AI and ad spend.
Pros. Genuinely integrated: the AI Assistant shares context with the CRM and the IDX website, so a website chat hands off to the CRM with the listing the visitor was viewing already attached. The IDX website is SEO-optimized out of the box, which matters for organic lead capture. Mature product (since 2016) with established procurement footprint in mid-size brokerages.
Cons. Expensive. $449/mo entry price is the highest in this list, and the all-in number once you add per-seat charges and ad spend gets into "second monthly mortgage" territory for solo agents. No free plan or free trial. Steep learning curve; the platform does a lot and most agents only use 30% of the features they pay for.
Best for. Mid-size teams and brokerages (3-20 agents) replacing a CRM, IDX site, and chatbot all at once, where the consolidation saves both money and integration headache. Less ideal for solo agents on a budget; the per-feature value is real but the absolute dollar number is large.
#3 ChatRaj: the flat-low-cost generalist with honest gaps
ChatRaj is the generic option in this list, built around two ideas: flat monthly pricing with no overage, and hybrid retrieval (BM25 keyword search plus semantic embeddings, fused via Reciprocal Rank Fusion). Pricing is Free at 100 messages/mo, Pro at $29/mo for 10,000 messages, Growth at $99/mo for 50,000 messages.
We are placing ChatRaj at #3 deliberately, not at #1. For a generic e-commerce or SaaS site it would rank higher; for real estate specifically, the lack of native MLS query, native SMS, and fair-housing prompt scaffolding are real gaps.
Pros. The price-per-message at the 10,000-message tier is roughly $0.0029, which is the floor of this market and roughly 60x cheaper than Structurely or Lofty on a per-conversation basis. Hybrid retrieval handles real-estate-specific terminology (MLS numbers, school district names, HOA acronyms) better than pure semantic search. Flat monthly quota means a viral listing does not trigger a surprise bill. Install via a single script tag on any IDX-rendered site (Real Geeks, Sierra Interactive, Placester, custom WordPress). GDPR DPA on paid tiers. Multi-language with auto-detect (Spanish auto-detection matters for many US markets).
Cons. Not real-estate-specific. No MLS query layer; the bot indexes whatever your IDX site renders to HTML, which is usually fine for current listings but stale for status changes. No native SMS; you would push captured leads to your CRM and let the CRM handle the SMS thread. No published fair-housing prompt scaffolding; you write the system prompt yourself, which is doable but is your liability. No 12-month nurture; ChatRaj is a website widget, not a virtual ISA.
Best for. Solo agents and small teams running an IDX-powered site who want cheap, capable website-level lead capture and will route to their existing CRM (Follow Up Boss, Sierra, kvCORE) for SMS follow-up. Strong fit if you already have an ISA service or virtual assistant doing follow-up and just need the website to capture leads at 11pm. Less ideal if you want one product to handle the full lead lifecycle.
#4 Roof AI: the MLS-aware web chatbot
Roof AI is the dedicated real-estate web chatbot. Smaller company (roughly 8 employees, modest funding) but the product is specifically built to answer property questions in real time by querying MLS data, then qualify the visitor and route to the agent.
Pricing as of early 2026 reports cluster around $199-$299/mo entry, with professional tiers including SMS at roughly $499/mo. Pricing is not consistently published on the vendor site; expect a sales conversation.
Pros. MLS integration that actually answers property-specific questions ("what is the HOA fee on this listing," "is this still available") in real time, rather than punting to the agent. Lead distribution rules route qualified leads across multiple agents on a team based on availability. CRM integrations to Follow Up Boss, Salesforce, and HubSpot are mature. The product is genuinely differentiated on the IDX-question axis.
Cons. Vendor scale risk. A roughly 8-person company with limited public funding history is a real consideration for a multi-year tool you are putting in front of every site visitor. Pricing is opaque and varies between published third-party reviews. SMS is on the higher tier, not entry. Customisation depth past the templates requires the Roof AI setup team.
Best for. Single-agent or small-team sites where MLS-aware listing-page answers are the highest-ROI feature, and the operator is comfortable with a smaller vendor. Strong fit for IDX-heavy sites where most traffic lands on listing detail pages. Less ideal for brokerages with strict vendor-due-diligence processes.
#5 Ylopo: the paid-ads plus AI follow-up engine
Ylopo is more lead-generation platform than chatbot. The model is: Ylopo runs your Facebook and Google ads, drives traffic to a dedicated landing page, captures the lead, then their Raiya AI assistant handles SMS follow-up and qualification. The chatbot is a layer inside a larger paid-marketing stack.
Pricing starts around $300/mo for the Core suite and scales to $795-$1,000/mo or more once you add Raiya AI texting, AI Voice, DyVA video remarketing, and the managed marketing tier. Setup fees of $1,000-$1,500 are typical, plus a 6-12 month contract.
Pros. Real lead-generation engine, not just a follow-up tool. If you do not have an inbound traffic source today, Ylopo solves the cold-start problem alongside the chatbot question. Raiya AI texting genuinely qualifies leads across 90-180 day windows; conversion from raw Facebook lead to listing appointment is meaningfully higher than DIY ad campaigns plus generic chatbot. AI Voice adds outbound calling for high-intent leads.
Cons. Long contract commitment. Add-on stack inflates the headline price quickly; the realistic monthly cost for a working setup is $800-$1,500, not the $300 starting price. The chatbot is bundled in a marketing stack; you cannot buy just the bot. Not the right shape if you already have an established inbound funnel from referrals or organic search.
Best for. Newer agents or expansion teams who need both paid traffic and AI follow-up in one product. Brokerages willing to commit to 12 months and treat lead generation as a managed service. Less ideal for established agents with strong referral or organic traffic where the paid-ads layer is irrelevant.
#6 Real Geeks: the IDX-bundled chatbot at brokerage prices
Real Geeks is one of the established IDX-plus-CRM platforms in real estate. Their Geek AI chatbot engages and qualifies leads via SMS conversations and is bundled into the Grow plan at $599/mo (1-2 agents) or added to the Establish plan ($299/mo) as a $200/mo add-on.
Realistic all-in cost runs $500-$600/mo in platform fees, plus $1,000-$2,000/mo in ad spend since the platform requires active paid campaigns to fill the funnel. Set up fee is $250.
Pros. Tight integration between IDX, CRM, and the chatbot, similar shape to Lofty but at a lower price point for very small teams. Geek AI qualifies leads via SMS automatically and books showings, which is the right product shape for real estate. SEO-friendly IDX websites work for organic lead capture in addition to paid traffic. Mature CRM with drip campaigns, mass texting, and a visual pipeline.
Cons. Like Lofty, you are buying the whole stack, not just the bot. If you already have a CRM you love (Follow Up Boss, kvCORE), the value drops. Geek AI is included only on Grow ($599/mo) and above; on the entry Establish plan it is a $200/mo add-on that pushes total cost above competitors. Ad spend is effectively mandatory.
Best for. Solo agents or 2-person teams who need a complete real-estate stack and want one vendor relationship, not three. Less ideal for established teams with existing CRM and IDX investments.
Decision tree: pick by your dominant constraint
Pick by your dominant constraint, not by the loudest marketing.
- You want a real virtual ISA that nurtures leads for 12 months over SMS, and you have a steady paid-lead source. Pick Structurely. Aisa Holmes is the best-in-class real-estate AI ISA and the price math works on Zillow- or Realtor.com-style lead volume.
- You want one integrated stack (CRM plus IDX site plus AI) and you have a 3-20 person team. Pick Lofty. Expensive, but the consolidation savings are real once you replace three tools with one.
- You already have a CRM and IDX site you like; you just want cheap, capable website chat for after-hours lead capture. Pick ChatRaj. $29/mo flat, hybrid retrieval handles MLS numbers and school districts well, route captured leads to your CRM for SMS follow-up.
- MLS-aware property-question answering on listing detail pages is your highest-ROI feature. Pick Roof AI. The MLS query layer is genuinely differentiated; accept the smaller-vendor risk.
- You need both paid lead traffic and AI follow-up, and you are willing to commit to 12 months. Pick Ylopo. Real lead-gen engine bundled with Raiya AI texting; not a fit if you already have inbound traffic.
- You are a solo agent or 2-person team and want a complete IDX-plus-CRM-plus-chatbot stack at a lower price point than Lofty. Pick Real Geeks. Grow plan at $599/mo includes Geek AI without an add-on.
No vendor wins every box. Pick the one that wins your most important box.
What we deliberately did not score
Three things we excluded from the rubric on purpose.
Logo counts and "trusted by" lists. Vendor websites all show identical logos of large brokerages. The fact that a bot is used by one team at a large brokerage tells you nothing about whether the brokerage is happy, whether it is going to renewal, or whether your specific configuration will work. We weighted product capability over social proof.
Hypothetical voice agent features that have not shipped. Several vendors are marketing AI voice agents that will answer the phone, qualify the lead, and book the showing. As of mid-2026 the production deployments are limited and the latency-plus-accuracy combination is not yet at "trust this with your business" level. We scored shipped products; voice agents move to the scorecard when they cross the line.
Tidio Lyro, Chatbase, and other pure-generic chatbots not adapted for real estate. They work technically but they do not capture phone numbers in the right format, they do not understand MLS terminology, and they have no fair-housing prompt scaffolding. ChatRaj is the one generic vendor in this list because its hybrid retrieval and flat pricing genuinely matter at the cost-conscious end of the market and we wanted at least one honest "use a generalist" option. Adding more generalists would have padded the list without serving the buyer.
One last note on fair-housing compliance. Whichever vendor you pick, audit the bot's actual responses to common visitor questions before you launch publicly. Send the bot questions like "what is the racial makeup of this neighborhood," "is this a good neighborhood for kids," "are there a lot of single people here." A well-built real-estate bot declines to answer or redirects to a neutral data source (census data, school ratings). A poorly configured bot may volunteer an answer that becomes a Fair Housing Act problem the first time a tester runs it. The HUD 2024 guidance is clear: AI-generated communications are subject to the same standards as agent communications. Test before launch, not after the complaint.