How to Use AI as a Real Estate Agent in 2025?

With the real estate industry changing every day, real estate agents are now using artificial intelligence to address the needs of today’s consumers. In a time where buyers and sellers want more timely and better-targeted properties, and better communication, AI is a necessity.

This trend is evident with the fact that the market for AI in real estate is expected to grow to $41.5 billion by 2033 with a CAGR of 30.5%. This massive growth has been attributed to the rising demand for automation of tasks, accurate property appraisal, and enhanced customer services.

Real estate agents can use AI for property management, leads, and client relations among others. Some of the ways that it is currently being used include giving agents on-the-spot property recommendations or automating their marketing efforts.

Here is How to Use AI as a Real Estate Agent

Let’s explore each use case of AI for real estate agents:

1. Property Search and Discovery

Property search and discovery is one of the most important aspects where AI is redefining real estate. To this end, AI algorithms process large amounts of data to identify properties that match the buyers’ preferences to the latter. It involves aspects such as location, price range, services, and even factors to do with one’s daily life. Rather than having agents go through numerous listings to find the right one, AI can sort through and present options in a matter of minutes.

Among the AI use cases for real estate, Property Search & Discovery segment dominates the market with 31.8% in 2023. This illustrates why AI is significant in this field; it assists the agents in making recommendations of properties to the clients and enhances the buying process. The sooner and more accurately an agent can link a buyer with a property, the higher the probability of selling the property, and hence AI is useful in this regard.

2. Property Management

AI is crucial in property management to help agents and property managers with their daily tasks. These include rent collection, tenant management, and scheduling of maintenance and repairs. AI systems can include features like sending rental payment reminders to tenants or notifications for maintenance, thus minimizing the workload of agents.

Furthermore, predictive maintenance is revolutionary. With the help of historical data and current inputs, AI can anticipate when a piece of equipment or infrastructure is likely to fail, thus facilitating preventive maintenance. This not only helps to maintain properties in their best state but also enhances tenant satisfaction since there are no sudden problems.

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By automating these tasks, real estate agents can spend more time expanding their businesses and building better relationships with clients.

3. AI-Powered Property Valuation

One of the most crucial aspects of the real estate business is determining the actual value of a piece of property. AI-enabled tools help in this regard by taking into consideration various factors including the location of the property, size of the property, past sales data, trends in the neighborhood, and even the facilities available in the vicinity. AI real estate appraisal gives an up-to-date analysis of the market to assist agents in setting their prices.

The standard techniques of property appraisal have been known to involve much leg work and rough estimations, which can be rather tedious and imprecise. AI, however, can process millions of data points within a short time and come up with a more precise and current value. This not only aids agents in reducing the time taken in the pricing process but also generates trust within clients who depend on such information to make their decisions.

4. Virtual Assistants and Chatbots

Real estate agents cannot ignore virtual assistants and AI-powered chatbots anymore. Real estate chatbots can answer client concerns, make appointments, and even follow up with leads and prospects without the assistance of a human. Chatbots are especially helpful for continuous service since prospects can learn about properties, set appointments for viewings, or ask questions at any time.

Chatbots are not only capable of answering frequently asked questions; they are also capable of having more intelligent interactions. This way, based on previous experiences and choices made, they can suggest properties that are more suitable for the client. Virtual assistants can also be incorporated into CRM systems to perform functions like sending follow-up emails, scheduling activities, and tracking leads.

This implementation of generative AI in real estate enables the real estate agents to concentrate on other important activities while at the same time ensuring that no lead is ignored, hence enhancing efficiency and customer satisfaction.

5. AI-Driven Marketing

AI is now changing the way real estate agents perform their marketing strategies. Using AI, agents can create bespoke marketing strategies and send relevant information to buyers and sellers. For instance, AI can create property descriptions, blog posts, email campaigns, and social media updates for agents, thus eliminating the need to write them.

Furthermore, AI real estate marketing tools identify and suggest the most suitable marketing strategies based on the user’s behavior and preferences. They can determine which kinds of properties will interest specific buyers depending on their search history, location, and any previous contact they have had with the agent or the platform. This kind of targeting helps in achieving better marketing results in terms of engagement and conversion rates.

By using AI to tailor and enhance marketing strategies, agents can target the right audience at the right time, thus increasing their chances of closing a deal.

Top AI Tools for Real Estate Agents

Let’s explore the top AI in real estate tools realtors can use for the use cases we’ve discussed so far:

1. Epique

Epique is the complete AI solution for today’s real estate brokers. It provides a set of 12 tools that help to deal with some important activities such as property descriptions, realtors’ profiles, emails, and even blog posts. This tool is very helpful in reducing the time an agent would spend writing copies, hence giving the agent more time to work on the clients and close the deals. With features such as AI-generated newsletters and Instagram quotes, Epique is ideal for agents seeking to simplify their marketing strategies.

2. Zillow AI

Zillow’s artificial intelligence capabilities assist the agents in understanding market trends, property value, and price recommendations. Through the use of artificial intelligence, Zillow AI generates real-time data on property listings thus assisting agents in their decision-making processes and client management. It also improves the search process as it suggests properties to clients based on their tastes, making sure that customers get what they want.

3. Rex Real Estate AI

Rex leverages the power of artificial intelligence in marketing strategies as well as in customer relations. It assists the agents in understanding the behavior of buyers, and market patterns, and making customized communication strategies with the clients. What Rex does is that it takes care of these activities so that the agents can concentrate on their core mandate of selling and nurturing the customers.

4. Revaluate

Revaluate is among the best AI for real estate investors. It is used in identifying those homeowners who are most likely to sell. Revaluate focuses on numerous factors like the time the homeowner has been in their home, market conditions, and even the agent’s database to determine potential sellers, hence allowing the agent to approach leads aggressively. This predictive tool helps the agents to know which prospects are more likely to convert and therefore, they can concentrate on these prospects.

AI Adoption Trends for 2025

AI in the real estate sector is expected to expand in the coming years as we head towards 2025. A recent survey showed that 52% of organizations intend to implement AI agents by 2025, and this will disrupt the real estate agents’ profession. The use of AI in real estate is continuing to advance, enabling agents to perform more dynamic tasks like lead generation, client interaction, and analytics.

It is therefore safe to predict that in the future AI is likely to completely take over back-office operations including document management and setting of meetings. Also, predictive analytics will continue to improve with the help of AI, allowing agents to understand market and customer tendencies better. This will help real estate professionals to provide more specific services and adapt to the changes in the market.

As AI continues to advance, real estate agents who incorporate these tools into their practice will be at an advantage because they will work faster and provide better outcomes for clients.

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