AI for Real Estate: 6 Best Tools to Use in 2025

AI for real estate solves challenges like the follow-up problem. 

Here’s what happened traditionally: Leads pile up in the CRM. Response times slip. And the same hot prospects end up working with someone else — usually the first agent to reply. That’s where AI has quickly become a game-changer.

Agents are now using AI to qualify leads, respond faster, and handle routine follow-ups automatically. It’s not about replacing people — it’s about ensuring no lead gets ignored, no matter the time of day.

In this guide, we’ll walk through:

• What AI in real estate looks like
• Why so many agents are adopting it for lead generation
• Best AI tools to use in 2025
• Real examples of how agents are using AI day to day
• How to roll it out without breaking your current system
  

Let’s start with the basics.

What is AI for real estate?

AI for real estate refers to the use of artificial intelligence tools to automate, optimize, or enhance tasks across the real estate industry. AI helps the reps handle more leads faster and with less manual work. 

AI can answer calls, respond to emails, qualify leads, and update CRMs without needing someone to step in. Some tools go further. They can understand buyer behavior, sort leads based on intent, and suggest the best follow-up time.

Here are a few things real estate teams are already using AI for:

Automation

AI tools can automate sending follow-up emails, logging notes into the CRM, or booking showings. You set the rules, and the system runs in the background. It saves time and keeps things from slipping through the cracks.

Lead scoring

AI can analyze every lead in your system and estimate which is worth your time. It looks at the things like the price range, listings viewed, response times, and email opens, and can rank leads based on who's most likely to convert.

You don't have to guess who to call next.

Smart recommendations

AI can give you context and suggestions to make personalized interactions with the lead. 

For example, if the buyer looks at three modern homes in the same ZIP code, the system might flag similar listings. Others can help you personalize follow-ups or decide when to re-engage a cold lead.

We now know AI helps realtors. Let’s see how.

Why realtors are using AI for real estate lead generation

Lead generation isn't the hard part anymore. Most agents have enough leads. They've got long lists from Zillow, Realtor.com, Facebook ads, their CRM — you name it. The problem is what happens after:

• They don't respond fast enough.
• They don't follow up consistently.
• They can't tell which leads are serious.

That's where AI for real estate agents comes into the picture. It helps agents close the gap between lead capture and actual conversation. It takes care of the repetitive stuff — qualifying, responding, scoring, updating — so agents can focus on people ready to move.

Let's break that down a bit.

Agents can't keep up with every new lead

Someone fills out a form at 10:37 PM. Another lead wants to tour a house tomorrow. A third person calls with a simple question that a rep could answer in two lines.

It's unrealistic to jump on all those in real time — unless you have help.

AI tools handle first contact automatically. They send the text, answer the call, ask qualifying questions, book the showing, or drop the notes into your CRM. No agent is fast enough to do that across every lead channel. AI is.

Manual follow-up leads to dropped opportunities

Leads go cold just because they don't hear back quickly. Or they get one message and nothing after. Maybe they were interested — they just needed one more nudge.

AI doesn't forget to follow up. It doesn't take lunch breaks. It runs your sequences automatically across channels — text, email, and even voice — so you're staying at the top of your mind without doing anything manually.

Furthermore, it helps agents get more deals from the leads they're already paying for.

Easily identify which leads to prioritize

Not every lead is ready. AI can help sort that out. Lead scoring systems look at things like:

• What listings did someone view
• How many times have they clicked a link
• Their budget range and location preferences
• Email or call activity

Based on that, leads get ranked. You can see who's worth calling now and who probably isn't.

Some tools update that ranking daily — so your CRM becomes more like a queue of hot prospects, not a giant list of names you'll never touch.

Personalizes the conversation (without you doing the work)

You may not have time to write a custom message for every lead. But buyers expect personal replies. AI fixes that.

If someone looks at $800K homes in downtown Austin, they'll get an email with similar listings — not a generic newsletter. If they mentioned needing a home office, follow-up messages might include that in the pitch.

Personalization makes a difference in whether your prospects reply or not.

Fits with how buyers behave

Buyers ghost. They return, browse at 1 AM, fill out forms, and forget they did. AI keeps up with that. It doesn't matter when the lead comes in or if the buyer is hot or cold. The system logs the activity, keeps the conversation going, and brings agents back in only when it makes sense.

That's a significant shift, especially for solo agents or lean teams that lack the bandwidth to pursue every possibility.

With the benefits out of the way, we now explore the tools that help you achieve these benefits.

The top 6 AI tools for real estate leads (2025)

Many AI tools are currently on the market — some built for agents, some retrofitted for real estate. Not all of them are worth your time.

Below are six platforms that are super valuable and will help you qualify leads, stay responsive, and save hours every week.

1. Lindy

Lindy is a no-code AI automation tool built for teams that want to qualify and manage leads without manual effort. It's designed to replace repetitive follow-up tasks with fully customizable AI agents, whether over the phone, via email, or by text.

You can set up multiple agents, each with a different role or workflow. One can handle new inbound leads, another can follow up with older ones, and another can route calls or book appointments based on availability.

It's flexible enough to match how your team works — not the other way around.

Features

• Voice, email, and SMS agents that can carry entire conversations and take action after
• No-code workflow builder to create custom logic based on lead type, behavior, or intent
• CRM integration with platforms like Salesforce and HubSpot, and Pipedrive
• Calendar support for auto-scheduling showings, calls, or meetings
• Multilingual support in over 30 languages for inbound and outbound phone calls. 
• Call logging and summaries after each interaction
• Webhook support to plug into custom tools or internal systems
• Human-in-the-loop setting for agent handoff or approval when needed

Pros

• Prebuilt and customizable workflows across lead types
• Consistent, high-quality responses on every channel
• Scales well without increasing headcount
• Works out of the box for real estate teams

Cons

• Initial setup can take time if your lead flow is complex

Best for

Lindy is best for teams that want to automate lead response and qualification with AI — without adding more SDRs or assistants. It can also handle related sales tasks like outreach, follow-up emails, meeting scheduling, and even light negotiation, making it a strong fit for real estate teams looking to scale without sacrificing personalization.

Pricing

Lindy provides affordable AI automation with a free plan that offers up to 400 tasks. Paid plans start from $49.99/month for 5,000 credits that give you up to 5,000 tasks.

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2. Ylopo

Ylopo is a real estate marketing platform that helps teams generate leads through paid ads and nurture them using AI. It runs branded campaigns on Facebook, Instagram, and Google, then follows up using an AI texting assistant.

When someone interacts with your ads or website, AI sends automated texts, answers basic questions, and flags high-intent leads. The system also tracks buyer behavior — like saved searches or property views — and sends alerts when someone is ready to move.

It's a full-funnel system built around paid lead capture and long-term nurture.

Features

• Paid ad campaigns across Facebook, Instagram, and Google
• Branded IDX home search sites
• AI for text-based follow-up
• Behavioral alerts and lead engagement tracking
• Integrates with CRMs like Follow Up Boss and Sierra Interactive

Pros

• Clever ad retargeting with AI-driven nurturing
• Helps agents stay in touch with cold leads
• Strong branding and listing visibility

Cons

• Pricing isn't listed publicly
• Requires a separate CRM for complete lead management

Best for

It suits teams that focus on digital ads and long-term lead nurture.

Pricing

You have two plans and an add-on to choose from, but the pricing isn’t public. You need to contact sales for a demo and detailed quote. 

3. Offrs

Offrs is a predictive analytics tool that helps real estate agents find likely home sellers before they list. It uses machine learning to score homeowners based on public records, behavioral data, and market trends — then flags which ones are most likely to sell in the next 6–12 months.

Agents can access exclusive territories, daily lead updates, and CRM integrations to manage outreach. The idea is to give agents a head start on listing opportunities before the competition shows up.

It's not a chatbot or follow-up tool. It's all about discovery.

Features

• Predictive seller scoring based on 250+ data points
• Daily updates to the lead lists by ZIP code
• CRM and marketing integrations
• Exclusive territory option to reduce competition

Pros

• Great for agents focused on listings over buyers
• Helps identify off-market opportunities early
• Works well in data-rich urban areas

Cons

• Accuracy can vary by market
• Limited control over the follow-up experience

Best for

It's particularly beneficial for listing agents and teams seeking to identify potential sellers before they list on the MLS, making it a valuable resource for various real estate professionals.

Pricing

Offrs doesn't list their pricing publicly. You need to register for a demo to receive a quote from their team. 

4. Revaluate

Revaluate helps agents find warm leads already sitting in their database. It uses AI to predict which contacts will likely move in the next 3–6 months based on behavioral data, life events, and consumer activity.

Once you connect your CRM or upload a list, Revaluate scores each contact daily. It flags high-probability movers, so agents know who to contact — without buying new leads or running ads.

It's a smart way to revive cold lists and focus on leads starting to show intent.

Features

• Daily predictive scoring of leads and contacts
• The AI-based move-likelihood model
• Works with most major CRMs
• Integrates with email and outbound tools

Pros

• Helps surface hidden opportunities in old databases
• No need to buy fresh leads
• Set-it-and-forget-it scoring model

Cons

• Works best with large, aged lead lists
• No built-in follow-up or communication tools
• No public pricing or demo

Best for

Agents and teams with big CRMs who want to identify the top 5% worth following up with can take full advantage of Revaluate’s capabilities.

Pricing

You can get pricing details after you set up your account and add all the details. 

5. CINC

CINC (Commissions Inc) is an all-in-one real estate platform that combines lead generation, CRM, and follow-up tools. It's designed for teams and brokerages that want everything in one place — from capturing leads to converting them.

The platform offers IDX websites, paid ad campaigns, lead routing, and AI-powered texting. There's also a built-in dialer and mobile app, so agents can follow up from anywhere.

CINC's AI assistant helps nurture leads with automated texts and drip campaigns based on user behavior.

Features

• Branded IDX websites and landing pages
• Paid ad integration with Google and Facebook
• AI texting assistant for lead nurture
• Built-in dialer and mobile CRM app
• Lead routing and activity tracking

Pros

• Covers the entire lead lifecycle
• Built-in automation for follow-up
• Designed for high-volume teams

Cons

• More features than solo agents may need
• Setup and pricing can be on the higher end

Best for

If you’re an established team or broker looking for a full-stack system to manage and convert large lead volumes, this might be the right option.

Pricing

You have four solutions to choose from: Solo, Ramp, Pro, and Select. None of them have a price listed on the website. You’ll have to request it.

6. ChatGPT

ChatGPT isn't a real estate platform, but many agents use it behind the scenes. It's a conversational AI model that can help with writing, brainstorming, and scripting throughout your lead generation process.

You can use it to draft follow-up emails, create SMS responses, build objection-handling scripts, or even rework your listing descriptions. Some agents also use it to write drip campaigns or generate ideas for social content and ads.

The key is knowing how to prompt it. ChatGPT doesn't have real estate logic built in, so you'll need to guide it with examples, tone, and context.

Features

• Freeform content generation like emails, texts, scripts, and more
• Available via the web or integrated into CRMs via plugins
• Custom instructions to match your tone or style

Pros

• Fast way to create scripts and content
• Flexible and easy to access
• Free or low-cost to get started

Cons

• Not purpose-built for real estate
• It needs strong prompts to be useful

Best for

For agents looking to improve their content creation or automate messaging, ChatGPT is a versatile tool to assist you in crafting effective communication.

Pricing

ChatGPT starts free and offers two paid plans: Plus and Pro. Plus is $20/month and Pro is $200/month. With Pro, you get unlimited access to video and image generation capabilities. 

Most AI tools sound good in theory. But how to apply them in day-to-day realtor workflows?

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Real-world use cases for AI in real estate

Real estate AI can do much more than just lead generation. 

Below are five examples of how agents put AI to work across their lead pipelines, from scoring and qualifying to enriching and following up.

Predictive lead scoring

Lead scoring is one of AI's most straightforward and helpful applications in real estate.

Instead of manually sorting through your CRM, AI tools can analyze each contact's behavior — like property views, email clicks, time on site, and price preferences — and assign a score based on how likely that person is to move forward.

The system looks for patterns. A lead who viewed three listings last week, opened two emails, and saved a search is someone to prioritize. Another lead who clicked once and disappeared is probably not urgent.

Scoring helps teams spend their time on leads that matter. It also surfaces older leads who may be re-engaging.

For example, Revaluate can flag a cold lead from 18 months ago who suddenly started checking local comps. The agent can reach out and book a showing the same week.

AI-powered chatbots & virtual assistants

Most buyers don't want to fill out a long form. But there's a chance that they’ll be open to chatting. AI agents are appearing on more real estate websites and landing pages, ready to start a conversation, answer common questions, and route leads to the right next step.

These bots can ask things like:

• What's your budget?
• Are you already working with an agent?
• Are you buying or renting?

Based on those answers, they can send listings, set up a showing, or pass the lead to a live rep. Because the conversation happens in real-time, the drop-off rate is lower than with traditional forms.

Agents can use a chatbot on their homepage that asks new visitors what neighborhoods they're interested in. If a first-time buyer types in two ZIP codes and says they are looking for a 2-bed under $750K, the bot can share a few similar listings and book a showing for the weekend.

Some platforms, like Lindy, also support phone-based virtual agents so that you can use the same logic across chat and voice.

Automated email follow-ups

Follow-up is where most agents lose leads. They send one email, maybe two, and then move on. AI tools make it easier to keep the conversation going — even when busy.

You can set up email sequences that adjust based on how the lead interacts. For example:

• If someone doesn't pick up your call, send a follow-up email with similar listings.
• If they open an email but don't click, then wait two days and resend with a new subject line.
• If they view a property, trigger a message with nearby comps.

These aren't static drip campaigns. They adapt based on what the lead is doing. Tools such as Mailchimp and Follow Up Boss offer AI-powered follow-up that reacts in real-time.

You reach more people with less work and have higher reply rates.

Lead enrichment from public data

Sometimes, the problem is not knowing enough about the leads. AI tools can enrich lead profiles by extracting extra context from public sources. That might include job titles, income brackets, move history, or recent online behavior.

You don't have to ask the lead for all of this. The system fills in the blanks using data from sources like LinkedIn, social profiles, tax records, or consumer databases.

That information gets added to your CRM automatically. So when a lead books a call, you already know their timeline, budget range, or whether they're likely a first-time buyer or investor.

For example, you can trigger a Lindy lead enrichment workflow to search the public records and update the contact record with job title, household size, and estimated timeline in your CRM. When a lead schedules a call, the agent is better prepared before the first conversation.

This enrichment helps agents tailor their approach without wasting time on discovery questions the system can already answer.

Voice assistants for lead qualification

When a new lead comes in, speed matters. But calling every lead manually, especially during evenings or weekends, isn't realistic for most agents. Here's where AI voice agents come in.

They can call new leads automatically, ask a few qualifying questions, and route the outcome to your CRM or calendar. These AI calling agents sound natural, can respond to difficult questions, thanks to natural language processing and machine learning, and book appointments or request more info.

Here's an example of one setup:

• An lead fills out an Airtable form
• The voice agent calls them within 30 seconds
• It asks: Are you looking to buy or rent? Do you have a timeline? Do you have a budget range?
• Based on the answers, it books a showing or flags the lead for a live callback

The agent gets a call summary and doesn't have to do anything unless the lead qualifies.

Lindy supports this exact flow with its phone agents. The biggest win? These calls happen without delays or breaks. Whenever a lead comes in, they get a response instantly.

With so many use cases, it can be confusing where to start. Let’s simplify that.

How to get started with AI for real estate

You don't need to automate everything on day one. Start with the part of your process that slows you down and build from there.

Here's how most agents and teams roll it out:

Step 1: Evaluate your needs

Not every agent needs the same setup. If you're a solo agent, you might want help writing follow-ups or handling new inquiries after hours. In that case, lightweight tools like ChatGPT or a single Lindy agent can be invaluable.

The playbook looks different if you're part of a team or managing multiple markets. You'll want more coverage across inbound calls, outbound outreach, CRM updates, and follow-up workflows. 

Platforms like Lindy or CINC can handle tasks at scale without adding more headcount. Figure out where your sales funnel process breaks down. That's your starting point.

Step 2: Choose the right tools

You don't need a dozen platforms. You need the right one that fits how you work.

Here's what to look for:

• CRM integration: The AI should automatically update contacts, log notes, and push activity. No copy-paste.
• Human-in-the-loop: You should be able to review or override AI decisions when it matters, like for high-value leads or big deals.
• Multi-channel support: Calls, emails, texts — your AI should work across them, whatever channels your leads use.

It's a bonus if the tool offers voice summaries, lead scoring, or call recordings. Those features can save even more time later.

Step 3: Onboard and experiment

Start simple. For example, create one Lindy agent that answers new leads from your website or Airtable form. Teach it what to say, how to qualify someone, and when to book an appointment. Then, test it.

Upload your FAQs or listing docs to a knowledge base, so the agent has context. Review the responses, refine the prompts, and improve the flow. It doesn't need to be perfect — just better than what you do manually.

You'll learn quickly what works and where to iterate.

Here are some tips to get more out of it:

• Use call summaries to improve your script's week by week.
• Let AI scoring help you decide who to follow up with each day.
• Double-check your messaging for compliance, especially on calls and SMS.

Bonus tip: Set up a second agent to send follow-up texts for no-shows. Or another that handles rental inquiries separately from buyers. With no-code tools like Lindy, you can build and clone agents in minutes without needing a developer.

Let Lindy be your AI lead generation assistant

Are you ready to stop manually chasing leads? Lindy isn't just another tool — it's the AI assistant your real estate team needs to manage follow-ups, qualify buyers, and close more deals.

Here's what makes it different:

• Responds instantly, even after hours: Lindy's voice and chat agents handle new leads the second they come in — no delay, no lost opportunities.
• Books appointments for you: Whether it's a showing, intro call, or follow-up, Lindy connects to your calendar and schedules the next step automatically.
• Works across voice, email, and text: Lindy supports voice, email, and SMS automation, and users can configure workflows to determine which channel to use based on context or lead behavior.
• Fits into your current setup: It plugs into tools like HubSpot, Salesforce, Google Calendar natively and a total of 2500+ apps via the Pipedream partnership — you don't have to switch platforms.
• Lead scoring and summaries: Lindy tracks activity, scores your leads, and logs every conversation — so you always know what's working.
• Customizable workflows for buyers, sellers, and renters: You can build different Lindy agents for each part of your pipeline, all tailored to your market.
• Affordable for solo agents or entire teams: Start free with 400 monthly credits, which can be used for automations across emails, meeting, and CRM updates.
• Ready-to-use templates: Whether you’re running outreach or lead generation campaigns, there are hundreds of pre-made Lindy templates that match your use case.

Try Lindy for free.