AI for Real Estate Leads : Best Tools & Solutions

AI for real estate leads is transforming how agents handle lead generation, lead qualification, and lead nurturing. It automates repetitive tasks, identifies high-quality prospects, and delivers personalized communication helping agents boost their ROI and close more deals. In fact, the AI in the real estate market has grown exponentially in recent years and is expected to grow from $222.65 billion in 2024 to $303.06 billion in 2025, at a compound annual growth rate (CAGR) of 36.1%.

Why does AI Matter in what Real Estate agents do?

A real estate agent talks to potential leads & clients and onboards them. Then the agent supports their clients by handling lead screening, engaging and nurturing potential buyers, qualifying leads, scheduling appointments, making outbound calls, and driving lead conversion. An AI agent like Dograh AI seamlessly integrates with your CRM to automate and streamline these tasks, making the entire process faster and more efficient.

The Ultimate Guide to AI Calling Implementation-by Dograh AI

AI Calling Implementation is transforming customer service by boosting agent speed, efficiency, and customer satisfaction. Dograh’s open-source workflow builder streamlines this process, making it easy and cost-effective for businesses.

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How AI is transforming Real Estate Industry ?

AI is transforming the real estate industry. When used effectively, it helps professionals tackle challenges, simplify processes, and make smarter decisions. One Reddit user shared, “My client was receiving around 200 leads a day far too many to manage manually. It was time-consuming and expensive to qualify and follow up with each one. That’s exactly what…AI agent was built to solve.”

1. AI Phone Calling : AI voice agents, built with Dograh AI, can talk to leads, handle objections, schedule appointments and work 24*7 to ensure no calls get missed. And all this while creating more free time for actual deals.
2. Smarter Lead Generation : AI-powered tools track online behavior to identify and prioritize high-potential leads, boosting conversions, reducing effort, and automating call booking and scheduling.
3. Improved Accuracy : AI helps real estate professionals analyze large datasets accurately, reducing errors and offering precise property insights. Machine learning predicts values and trends for smarter pricing and recommendations.
4. Personalized Client Experience : AI Agent and AI Chat bot provide 24/7 support to client inquiries, ensuring no lead is missed and improve customer satisfaction.
5. Enhanced Efficiency : AI tools handle tasks like data entry and customer management, allowing real estate professionals to save time and focus on strategy and client relationships. As one Reddit user put it, “AI is the future it makes things easier, from finding the right audience to dialing and confirming appointments. I’ve seen it in action and plan to use it myself soon.”

Dograh- AI Voice Agent platform

Build AI Voice Agents without coding. Dograh is a drag and drop builder for AI phone calling.

AI Voice Agent platform

How to get lead as a real estate agents using AI tools

To get the leads as a real estate agent using AI, refer the strategies listed below :

1. Use Next-Gen AI Agent to Engage Your Client : AI Agent , like Dograh AI can respond instantly to inquiries 24/7, qualify leads, and keep clients engaged even when you’re offline ensuring you never miss an opportunity. The voice agents built using Dograh AI can have conversations of upto 45mins using NEPQ technique (neuro emotional persuasion questioning) leading to higher conversion rates. You can reachout to Dograh team over email or book a demo.
2. Create Compelling Social Posts : Take help of AI tools for ideas to create eye-catching posts with engaging visuals and captions that attract potential buyers and sellers.
3. Target Your Marketing on the Hottest Leads: AI analyzes user behavior and data to help you focus on high-intent leads that are most likely to convert.
4. Create Brilliant, Action-Driven Email Campaigns: AI can personalize emails, optimize send times, and generate content that drives responses and boosts engagement.
5. Run Paid Ads with Meta or Google: Leverage AI-powered ad platforms to reach your ideal audience, optimize ad spend, and generate qualified leads faster.

How to Build AI Voice Agent with No Code (Step by Step) ~ Dograh

How to build an AI voice agent with no code” is your gateway to creating human-like, brand-aligned voice experiences without technical skills. With Dograh’s intuitive drag-and-drop builder, you can design and launch custom voice agents effortlessly.

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Free AI Tools for Real Estate Agents

• Dograh - Dograh is widely recognised as the best AI tool for real estate agents. It has AI phone calling capabilities for automating lead engagement and customer interactions. AI Voice Agents built with Dograh AI are capable of handling complex conversations for upto 45 minutes- leading to higher conversions. You can reachout to Dograh team over email or book a demo.
• Lindy - AI task manager that helps streamline daily workflows and communication.
• Ylopo - AI-powered marketing platform for lead generation and remarketing.
• Realtor.com - Offers AI-driven insights and tools for property listings and market trends.
• Homebot - Uses AI to deliver personalized home finance insights to engage clients.
• Redfin - AI features assist with pricing, listing recommendations, and market analysis.
• Trulia - AI-enhanced search tools help buyers and agents find the right properties faster.

4 Ways AI is Super Helpful for Real Estate Leads Generation

AI is revolutionizing real estate lead generation by automating tasks, improving targeting, and providing personalized experiences that increase conversions and efficiency.

1. Boost Real Estate Leads Conversion

• 24/7 Support : AI chatbots and virtual assistants respond to leads instantly, anytime, ensuring no inquiry goes unanswered and boosting conversion rates by up to 70%.
• Automate Routine Tasks : AI handles repetitive tasks like follow-ups, scheduling, and CRM updates, reducing manual workload and boosting productivity. As one Reddit user said, “I built an AI agent that reads my emails, creates action items, and adds them to my calendar and to-do app it saves me tons of time!”
• Improves Customer Engagement : 97% of small and mid-sized businesses using AI voice agents report a significant boost in increased revenue, stronger customer engagement, and improved market positioning.
• Lower Operation Cost : Approximately 49% of real estate business owners have reported cost savings from adopting AI, with potential reductions in operational expenses reaching up to 15%.

2. Precise Targeting

• Precise Analysis: Real estate professionals use predictive AI to uncover patterns and trends in market data and user behavior that humans might overlook. These tools help investors make smarter, data-driven decisions on buying and selling properties.
• Smarter Property Valuation: According to CAPE Analytics, integrating AI models into property valuation has improved accuracy by 7.7% and reduced the need for manual inspections by up to 50%, streamlining and speeding up the decision-making process.

3. Improved Content Creation

• Master Your Social Media Content Strategy: AI tools create engaging, targeted content for social media and marketing, helping boost reach and attract more qualified leads.

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4. Better Lead Nurturing

• Categorizing Leads: AI is transforming lead generation and offline conversion tracking by delivering data-driven insights, automation, and personalized marketing. A study by Verma et al. (2019) showed that AI-based models can predict real estate values with 96% accuracy, enhancing decision-making and business performance.

Transforming Real Estate Workflows with Dograh AI Phone Calls

Creating a voice agent from scratch can be complex, but with Dograh’s Workflow Builder, it’s intuitive and completely code-free. Using its visual drag-and-drop interface, you can easily design conversation flows, manage logic branches, and integrate real-time speech capabilities.

Below is a detailed example of a Real Estate AI Calling Agent workflow prompt to demonstrate how it all comes together in a real-world use case. 

1. To begin building your voice agent, first click on “Create Workflow” located at the middle-right corner of the dashboard. This action opens a configuration panel 

2.  Once you land on the Conversational Workflow Dashboard, you'll see a well-structured Drag and Drop builder interface to manage and customize your voice agent workflows. This visual tool allows you to easily add, arrange, and connect nodes, enabling quick and intuitive workflow creation without needing to write any code.

• Right Sidebar Buttons:
  • Workflow Name: Displays the unique identifier for the current workflow.
  • Add New Node: The platform lets you insert various nodes such as Start Call, Agent Node, and End Call to build your voice workflow. These nodes help structure the conversation flow effectively.
  • Vertical Layout / Horizontal Layout: Allows you to switch between vertical and horizontal views of your workflow diagram for better readability and navigation.
  • View Run History: Provides logs of past workflow executions, including timestamps and outcomes, for debugging and performance tracking.
• Top Header Buttons:
  • Export Pathway: Download or share the entire workflow design in a portable format (e.g JSON).
  • Web Call: Test and run your workflow using a web browser interface.
  • Phone Call: Trigger a real-time voice call using the workflow for live testing or demo purposes.

3. Click on “Start Call” and a dialog box will appear prompting you to fill in the required details:

1. Name – This is the identifier for the agent in call logs. Example: Use a short, clear name that reflects the step in the call (e.g “GreetingStep”). Note: Keep it concise for easy reference in workflows.
2. Text – When the “Static Text” switch is on, then this is what the agent will speak verbatim when the call begins. Otherwise, with the static switch off, one can write a generic prompt defining the agent behaviour. Example: “Hi, this is Alex from [Company Name], I hope you’re doing well.” Note: A static, friendly greeting helps clearly identify the start of the call.

4. Click "Add New Node" on the left side, then a dialog box will appear on the right select "Agent Node" to proceed.

5. Connect the Start Call Node and Agent Node once they are linked, a Set Condition node will automatically appear between them.

Click on Set Condition:

• Condition Label: Enter a short, descriptive label to help identify this pathway in the workflow.
• Condition Prompt: Write a condition that defines when this path should be taken.
• Click Save to proceed.

Next, click Edit Agent to configure the agent:

1. Agent Name: Provide a brief name to identify the agent in call logs; it should clearly represent this step in the call.
2. Prompt: Enter the agent prompt—this text will guide the AI in generating the agent’s spoken response.

For Illustration purposes, we will use a Real Estate AI Calling Agent using Dograh workflow. It is designed to automate outbound calls to homeowners who have listed their property for sale by themselves on platforms like FSBO (For Sale By Owner). The goal is to engage them in a natural conversation and persuade them to consider selling through a real estate agent instead. 

In this guide, we’ll walk you through a quick overview on steps to build this conversational workflow, including how to structure the logic, create a decision tree, and craft effective prompts that drive results : 

AI Logic Architecture 

Start Call

   └──> Verify Seller & Property

           ├── If Not Available → Ask reason → Exit

           └── If Available

                   ├── Ask Qualifying Questions

                   ├── Handle Objections

                   ├── Offer Meeting Time

                   │       ├── Accepted → Confirm → Exit

                   │       └── Declined → Propose Next Option → Exit

1. Start Call Node 

Goal : Confirm the homeowner's identity and check if the property is still available. 

Add Examples in prompt : 

• "Hi, I am Dograh calling regarding the property on sale. Is this John Wick?"
  • (Wait for confirmation)
• "I’m calling on behalf of <Agent Name/Agency>, who helps people sell their property faster and at the highest possible value. I came across your property listed on FSBO - just wanted to check if it’s still on the market?"

Next Steps:

• If property is available, proceed to "Check for any Hesitation on working with Agents?". (Step 3 ) 
• If property is not available, proceed to "Property Not Available Anymore".

2. Property Not Available Anymore

Goal: Politely ask follow-up questions about why the property is no longer available.

Add Examples in prompt : 

• "Got it. May I ask if the property was sold? If so, could you share the sale price?"

                            OR

• "Understood. Did you decide to hold off on selling for now? Just curious about your plans."

Next Step:

• End the call ("End Call") if no further interest is shown.

3. Any Leads or Hesitation with Agents?

Goal: Assess the homeowner’s selling progress, timeline, and past experiences with agents.

Add Examples in prompt : 

• "Great, how’s the selling process going so far?"
• "What’s your timeline to sell the place?"
• "Have you gotten any offers or feedback from buyers?"
• "What made you choose FSBO over working with an agent?"
• "Have you worked with agents before? How was that experience?"

Next Step:

• If there is no negative feedback about agents, highlight <Agent Name> value and proceed to "Booking".
• If negative feedback, proceed to "Agent Objection Handling".
• If the homeowner refuses to work with agents, end the call ("End Call").

4. Agent Objection Handling

Goal: Address concerns and emphasize the benefits of working with <Agent Name/ Agency >.

Add Examples in prompt : 

• "Totally get that. Was that a recent experience? <Agent Name/Agency> specializes in helping folks who’ve had rough starts."
• "Our marketing strategies are tailored to your home’s unique features. We will highlight what makes it special."
• "We handle all paperwork with no legal missteps."
• "We’ll market your home professionally to attract serious buyers."

Next Step:

• If objections are resolved, proceed to "Booking".
• If the homeowner remains unconvinced, end the call ("End Call").

5. Booking

Goal: Propose a meeting with <Agent Name/Agency> casually.

Add Examples in prompt : 

• "I can set up a quick chat with <Agent Name/Agency>. He might have insights to help you out."

(If agreeable)

• "How about Thursday at 2 PM or Friday at 4 PM?"

(After confirmation)

• "Perfect, we’ll set it for Friday at 4 PM."

Next Step:

• End the call ("End Call") after booking.

6. End Call

Goal: Conclude politely.

Add Examples in prompt : 

"Thanks for your time, John! We’re here if you need help later. Have a great day!"

Next Step:

• Express gratitude.
• Leave the door open for future contact.

How to get started with AI for real estate

Step 1: Evaluate Your Needs

Start by identifying key pain points in your real estate workflow whether it’s for lead management, client follow-ups, or scheduling. Understanding your specific needs helps you choose the most effective AI solutions.

Step 2: Choose the Right Tools

Select AI tools tailored to your business goals. Dograh, for example, offers real-time speech capabilities and CRM integration, making it ideal for automating lead engagement and client interactions.

Step 3: Onboard and Experiment

Once your tools are in place, begin testing them in real scenarios. Monitor results, gather feedback, and refine your processes to maximize efficiency and performance.

Key Benefits of Using AI for Real Estate Lead Qualification

Dograh AI streamline workflows builder tools help real estate agents to boost productivity, strengthen customer relationships, and improve lead conversion and client satisfaction.

1. Boost Conversion Rate : AI adoption has helped real estate businesses boost conversion rates by targeting and engaging high-quality leads more effectively.
2. Reduced Operational Costs : Around 49% of real estate business owners have reported cost savings through AI adoption, with operational expenses potentially reduced by up to 15%, improving overall efficiency and profitability.
3. 24/7 Availability : AI tools respond promptly to client inquiries, ensuring no lead is missed and enhancing overall client satisfaction.
4. Seamless CRM integration : Dograh AI connects with CRM systems to track interactions, update lead statuses, and automate tasks like lead screening, outbound calling and appointment scheduling allowing agents to focus on closing more deals.

Ai use cases in real estate

1. Lead Screening: AI Agent quickly filters through incoming leads to identify serious buyers or sellers, saving time and improving focus.
2. Lead Qualify and Nurture Leads: AI Agent evaluates lead potential using behavior data and keeps them engaged with timely, personalized follow-ups.
3. Appointment Booking: AI assistants can schedule meetings with experts for lead conversion.
4. Outbound Calling: AI voice agents can make outbound calls to prospects, delivering messages or collecting information at scale.
5. Lead Qualification and Conversion: AI analyzes lead interactions to score and prioritize them, helping agents close more deals with less effort.

Dograh AI helps with all these use cases through its intelligent automation, real-time speech capabilities, and seamless CRM integration making lead management faster and smarter.

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How will ai effect real estate

AI is transforming the real estate industry by making operations more intelligent, efficient, and data-driven throughout the property lifecycle. According to a PwC report (2019), 67% of real estate companies planned to invest in AI-powered chatbots and virtual assistants within two years. Additionally, a study by Shultz et al. (2020) found that AI models can predict ROI with up to 80% accuracy.

FAQ’s