The Easiest Ways Real Estate Agents can use AI in 2025

November 2, 2025

Rentana

Every real estate agent knows how fast a day can fill up. There are emails to answer, listings to update, clients to follow up with, and prices to double-check. Somewhere between open houses and late-night calls, the workload starts to feel endless. That’s where artificial intelligence is quietly stepping in to help.

AI is changing how agents work, making it easier to handle repetitive tasks, understand market trends, and connect with clients faster. It’s not about replacing agents but giving them smarter tools to do more in less time.

And the shift is happening quickly. More than 8 in 10 Americans (82%) now turn to AI platforms for real estate insights to help with marketing, pricing, and client management.

Here are the easiest ways real estate agents can use AI.

21+ Ways Real Estate Agents Can Use AI Easily

Writing Property Descriptions Automatically
Managing Emails and Client Follow-Ups
Scheduling Appointments and Showings
Organizing and Updating Property Data
Generating Reports and Insights Automatically
Handling Social Media Posts
Predicting the Right Listing Price
Understanding Local Market Trends
Evaluating Investment Opportunities
Spotting Undervalued Properties
Forecasting Market Performance
Targeting the Right Buyers and Sellers
Creating Personalized Email Campaigns
Automating Social Media Ads
Predicting Which Leads Are Ready to Act
Writing Listings and Marketing Copy
Managing Lead Follow-Ups Automatically
Understanding Client Preferences
Predicting When Clients Are Ready to Act
Streamlining Communication
Improving Follow-Up Timing

‍

Related: 9 Best AI Tools for Real Estate Investors

‍

Everyday Tasks Agents Can Automate with AI

Real estate agents often spend hours each day managing tasks that don’t directly bring in revenue. AI tools can take care of many of these smaller jobs, giving agents more time to focus on clients and closings. Real estate agents can use AI for scheduling, emails, and turn busywork into background work.

‍

1. Writing Property Descriptions Automatically

One of the easiest ways AI helps is by writing listing descriptions. Instead of spending half an hour crafting the perfect paragraph, agents can use tools like ChatGPT or Listingcopy.ai to create clear, engaging property descriptions in seconds. These tools analyze key details such as location, size, and features to produce copy that fits different listing platforms.

Example: An agent uploads photos and property data, and the tool generates a complete, polished description ready to post.

‍

2. Managing Emails and Client Follow-Ups

Real estate agents can also use AI for follow-ups

AI-powered email assistants like Superhuman or Boomerang can automatically sort emails, remind you when a lead hasn’t replied, and even suggest quick responses. This keeps client communication smooth and helps agents stay organized without getting lost in their inbox.

Example: If a potential buyer opens your email but doesn’t respond, the tool can nudge you to follow up the next day or even draft a gentle reminder for you.

‍

3. Scheduling Appointments and Showings

Coordinating appointments can take hours, especially when clients and property managers are juggling different schedules. Tools like Calendly and Clara make it easy by automatically suggesting available times, confirming bookings, and sending reminders.

Example: An agent can simply share a calendar link, and clients pick their preferred slot. The AI then handles confirmations and updates without manual effort.

‍

4. Organizing and Updating Property Data

Keeping track of listings, leads, and documents can get messy fast. AI-based customer relationship management (CRM) tools like Follow Up Boss or HubSpot CRM help organize everything in one place. They automatically update client information, track interactions, and even predict which leads are most likely to convert.

Example: When a new inquiry comes in from Zillow, the CRM logs it automatically and tags the lead based on behavior, helping the agent prioritize their outreach.

‍

Top Pick: 9 Best AI Tools for Commercial Real Estate

‍

5. Generating Reports and Insights Automatically

Analytics is one of the most important ways real estate agents can use AI.

AI tools like Rentana simplify reporting by gathering key data on market performance, rent trends, and property analytics. Instead of manually compiling spreadsheets, agents can view real-time insights that show which listings are performing best or where demand is rising.

Example: An agent using Rentana can generate a report comparing rental trends by neighborhood in seconds, helping them advise clients with confidence.

‍

6. Handling Social Media Posts

Staying active on social media helps agents attract new clients, but posting consistently can be a challenge. Tools like Predis.ai or Later can automatically create, schedule, and even caption posts based on your brand tone and audience engagement.

Example: An agent uploads property photos, and the AI suggests captions, hashtags, and the best times to post for maximum visibility.

‍

Real Estate Agents can use AI for Pricing, Valuation, and Market Analysis

Getting the price right can make or break a deal. List a property too high, and it might sit on the market for months. Price it too low, and you leave money on the table. AI helps real estate agents find that sweet spot by analyzing market data, comparable properties, and local demand in real time. It takes the guesswork out of pricing and helps agents make data-backed recommendations their clients can trust.

‍

7. Predicting the Right Listing Price

AI-powered platforms like Rentana make it easy to analyze what similar properties are renting or selling for in specific neighborhoods. The platform reviews thousands of data points such as recent transactions, rent trends, and market movement to generate an accurate price forecast.

Example: An agent in Austin can use Rentana to compare a property to similar buildings in nearby zip codes. The platform provides a price range and forecast that shows whether the local market is trending up or slowing down. This helps the agent price the property competitively from day one.

‍

8. Understanding Local Market Trends

AI tools like Rentana, Reonomy and Zillow Research collect data on property values, population growth, and rental demand across different regions. This helps agents understand where the market is heading so they can guide investors and buyers with confidence.

Example: If rental prices are rising in a neighborhood with new developments or nearby job growth, an agent can use this insight to advise a buyer that it’s a strong area for long-term investment.

‍

9. Evaluating Investment Opportunities

For agents who work with investors, AI makes it easier to assess whether a property will generate good returns. Platforms such as Stessa and Mashvisor use AI to project cash flow, estimate expenses, and predict occupancy rates based on local trends.

Example: An agent helping an investor evaluate a 12-unit property can use Mashvisor to calculate expected rental income, compare it to other similar properties, and estimate annual returns with just a few clicks.

‍

10. Spotting Undervalued Properties

AI tools can identify properties priced below their market potential by comparing listings with local data and rent growth patterns. Rentana’s predictive tool, for instance, highlights opportunities where income potential exceeds the listed price, helping agents and investors spot hidden deals.

Example: An investor looking for multifamily properties in Dallas might find a building listed at a lower price per unit than nearby properties with similar amenities. Rentana’s analysis can reveal that the property has strong rent growth potential, signaling a smart buy.

‍

Recommended: How To Do A Rental Market Analysis Like a Pro (With AI Tools)

‍

11. Predictive Analytics & Forecasting Market Performance

Predictive analytics is another important way real estate agents can use AI.

AI tools are changing how agents and investors understand what’s coming next in the market. Instead of guessing, platforms like Rentana help users see performance patterns before they become obvious. Rentana tracks gross income in real time and pulls detailed public rent data from multiple sources, giving a live picture of how a property or portfolio is performing.

It helps investors and managers improve their NOI by identifying opportunities for revenue growth. By analyzing trends in occupancy, rent movement, and local demand, Rentana gives a realistic view of where a property stands and how it can perform better over time.

Example: A property manager using Rentana can quickly see that a building’s rent performance in one zip code is lagging behind similar properties nearby. With that insight, they can adjust pricing, refine marketing, or test promotions to bring returns back in line with market trends.

‍

Smarter Marketing and Lead Generation with AI

Every real estate agent knows how important it is to keep a steady flow of leads. The challenge is finding serious buyers and sellers without spending hours chasing cold prospects. That’s where AI tools come in. They help agents target the right audience, personalize outreach, and automate marketing efforts, all while learning from data to improve results over time.

‍

12. Targeting the Right Buyers and Sellers

AI helps agents find people who are most likely to buy or sell by analyzing online behavior, income levels, and property preferences. Tools like CINC AI and kvCORE use data from social media and web activity to identify high-quality leads.

Example: An agent can run a Facebook campaign, and the AI system automatically shows the ad to users most likely to be house-hunting in a specific area. This saves money on ads and increases the chance of real engagement.

‍

13. Creating Personalized Email Campaigns

Generic emails rarely get attention. AI-powered platforms like ActiveCampaign and HubSpot Marketing Hub can personalize email content based on each contact’s interests, property searches, or engagement history.

Example: If a client has been browsing two-bedroom condos, the tool can automatically send them listings that match their preferences, complete with pricing and photos, without the agent lifting a finger.

‍

14. Automating Social Media Ads

Social media is one of the easiest ways real estate agents can use AI.

Running ads manually takes time and constant monitoring. AI advertising tools such as AdCreative.ai and Smartly.io create and optimize social media ads automatically. They analyze performance data to adjust visuals, text, and targeting so that campaigns perform better over time.

Example: An agent uploads a few photos and short property details. The AI creates multiple ad versions, tests them on Facebook and Instagram, and boosts the one that gets the best response.

‍

15. Predicting Which Leads Are Ready to Act

AI can predict when a lead is close to buying or selling by studying their engagement and behavior. Platforms like Structurely and Zillow Premier Agent CRM track lead activity, such as how often they view listings or respond to emails, and alert agents when a prospect is likely to make a move.

Example: If a client starts checking the same property multiple times, the AI tool can flag them as a high-priority lead, letting the agent reach out right away.

‍

Read Also: Top 9 Real Estate Market Analysis Tools

‍

16. Writing Listings and Marketing Copy

AI writing assistants like Jasper and ChatGPT help agents craft attention-grabbing listing descriptions, emails, and ad captions. These tools make it easy to create fresh, engaging content that sounds natural and appeals to local buyers.

Example: An agent enters key property details such as size, neighborhood, and amenities, and the AI produces a professional, ready-to-post listing description that matches the agent’s tone.

‍

17. Managing Lead Follow-Ups Automatically

Following up with every lead can be overwhelming, especially when multiple clients are in different stages of the buying process. Tools like Follow Up Boss and Drift use AI chatbots and automated workflows to handle basic inquiries and schedule follow-ups automatically.

Example: When a potential buyer asks about a listing, the chatbot answers instantly and schedules a showing, while the system updates the CRM so nothing falls through the cracks.

‍

AI-driven marketing tools help real estate agents work smarter, not harder. By combining automation with personalized insights, agents can focus on meaningful client interactions while letting AI handle the background work that keeps the business running.

‍

Real Estate Agents can also use AI for Client Relationships and Customer Experience

Strong client relationships are the heart of every successful real estate business. Whether it’s following up with leads, remembering preferences, or managing ongoing communication, AI now makes it easier for agents to deliver a personalized experience without spending hours doing it manually.

‍

18. Understanding Client Preferences

AI-powered CRMs like HubSpot, Follow Up Boss, and kvCORE learn from client interactions to track what buyers and sellers care about most. They notice which listings someone views, which emails they open, and how often they engage. This helps agents tailor recommendations that feel relevant and timely.

Example: If a client keeps browsing homes near good schools, the system can automatically highlight similar properties in family-friendly areas, giving the agent a chance to follow up with better options.

‍

19. Predicting When Clients Are Ready to Act

AI tools can predict when a lead is ready to buy or sell by looking at activity patterns and engagement levels. Tools like BoomTown and CINC AI analyze website visits, search history, and message responses to score leads by intent.

Example: If a client starts checking listings multiple times a day or requests more property photos, the platform flags them as “high intent,” reminding the agent it’s time to reach out personally.

‍

20. Streamlining Communication

AI chatbots and virtual assistants make it easy to stay in touch with clients, even outside business hours. Platforms like Structurely and Drift can answer common questions, schedule showings, and provide updates automatically.

Example: A potential buyer visits an agent’s website late at night and asks about a listing. The chatbot replies instantly with details, sets up a call for the next morning, and updates the agent’s CRM automatically.

‍

21. Improving Follow-Up Timing

Real estate agents can use AI for time follow-ups.

AI tools help agents follow up at the right time without overwhelming the client. By tracking engagement and activity, systems like Zillow Premier Agent CRM and Salesmate suggest when to reconnect and what message to send.

Example: If a client looked at a property two weeks ago but hasn’t replied, the AI can remind the agent to follow up with a friendly message or new property suggestion.

‍

Bonus: Building Long-Term Loyalty

Good service doesn’t stop once the deal closes. AI tools help agents maintain relationships through personalized post-sale communication. Platforms like ActiveCampaign can automatically send check-ins, home maintenance tips, or anniversary notes to past clients, keeping the connection alive.

Example: A client who bought a home six months ago might get an automated message from their agent reminding them about seasonal maintenance or offering a free home valuation update.

‍

Don’t Miss: The Best AI Tool for Rental Market Analysis by Zip Code

‍

Conclusion: The Future of Real Estate Is Already Here

AI is no longer a distant idea for tech companies; it’s quietly becoming every agent’s behind-the-scenes assistant. It helps manage clients, predict market shifts, write listings, and even spot opportunities that used to take weeks to find. With tools like Rentana, ChatGPT, and Stessa, real estate professionals now have access to insights once reserved for large firms with full analytics teams.

The agents who learn to use AI today are setting themselves up for more time, better decisions, and stronger relationships tomorrow.

The only question left is this, how soon will you start letting AI work for you?

‍

Frequently Asked Questions on How Real Estate Agents can use AI

How Will AI Take Over Real Estate?

AI will transform real estate by automating tasks like lead generation, property valuation, and client communication. It helps agents analyze market data, predict property trends, and personalize recommendations, allowing them to work more efficiently and close deals faster.

‍

Can You Use ChatGPT For Real Estate?

Yes, ChatGPT can be used in real estate to write property listings, respond to client inquiries, generate marketing content, and analyze market data. Agents use it to save time, improve communication, and enhance customer engagement across platforms.

‍

How To Get Real Estate Leads Through AI?

You can get real estate leads through AI by using tools that analyze online behavior, social media activity, and search trends to identify potential buyers and sellers. AI-powered CRMs and chatbots can also automate lead nurturing and follow-ups, helping agents focus on converting high-quality leads.

‍