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How AI Is Helping Real Estate Professionals Build Better Relationships With Their Clients

By Ben Shepardson | July 3, 2023
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Artificial intelligence (AI) is rapidly changing the real estate industry. From chatbots that can answer customer questions to predictive analytics that can help agents close more deals, AI is having a major impact on the way real estate professionals do business. In fact, one of the most important ways that AI is helping real estate professionals is by improving their relationships with their clients. Here are a few ways that AI is being used to support better relationships and how you can begin integrating these AI approaches with your own real estate practice.

From Chatbots to Automation and Beyond

AI is so much more than just what you’ve seen in the news. The applications of this technology are, frankly, astounding on so many different levels that it’s almost overwhelming to think about. A short list of what AI can do to make client relationships stronger includes:

  • Chatbots: Chatbots are becoming increasingly popular in the real estate industry. These AI-powered tools can answer customer questions, provide information about properties, and even schedule appointments. Chatbots can help real estate professionals to provide better customer service and to free up their time so that they can focus on more important tasks.
  • Predictive analytics: Predictive analytics is another way that AI is being used to improve relationships with clients. This technology can help real estate professionals to identify potential buyers and sellers, predict which properties are likely to sell, and track the progress of deals. Predictive analytics can help real estate professionals to be more proactive in their relationships with clients and to close more deals.
  • Personalized recommendations: AI can also be used to provide personalized recommendations to clients. This can be done by analyzing a client's past behavior, preferences, and market data. Personalized recommendations can help real estate professionals to show clients homes that they are more likely to be interested in and to close more deals.
  • Report generation: AI can be used to generate reports that provide insights into client behavior, market trends, and the performance of real estate professionals. These reports can help real estate professionals to make better decisions and to provide better service to their clients.
  • Task automation: AI can be used to automate tasks such as scheduling appointments, sending out marketing materials, and following up with clients. This can free up real estate professionals' time so that they can focus on more important tasks, such as building relationships with clients.

The Future Is Now for AI as a Real Estate Technology

AI can help real estate professionals to be more responsive to client needs in a variety of ways. By using AI to automate tasks and provide personalized recommendations, real estate professionals can free up their time so that they can focus on responding to client inquiries and providing timely service. This can help real estate professionals to build trust with clients. By using AI to provide accurate and timely information, real estate professionals can show clients that they are knowledgeable and trustworthy.

AI further can help real estate professionals to create a more personalized experience for clients. By using AI to track client preferences and to provide tailored recommendations, real estate professionals can create a more personalized experience for clients that makes them feel more valued. All of this makes AI a powerful tool that can be used to improve relationships with clients in the real estate industry. As AI continues to develop, we can expect to see even more ways that this technology can be used to build better relationships with clients.

Ben Shepardson
Ben Shepardson is a Realty Biz News Contributing Writer and has a long track record of success in online marketing and web development. While pursuing a bachelor’s degree in Computer Information Systems, he worked doing enterprise-level SEO and started an online business offering web development services to small business customers.
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