I wrote this blog post this week in regards to implement AI into my business. https://cynthiamattiza.com/blog/how-i-use-ai-to-give-my-real-estate-clients-an-edge-in-bee-cave-and-lake-travis I use ChatGPT 5 on a daily basis. I have done a deep dive on prompts each day that tailor to my specific need each time I hop on. Perplexity has been great for more data centric content that I can incorporate into blogging. I've used Gamma to create slides for a presentation recently that i was able to integrate into GoogleSlides. I think there are a ton of new tools and apps that are advertised as the next big thing, the AI industry is here to stay, Real Estate agents need to adapt and learn some of these to implement to create efficient systems. I use Cava weekley to create content on social media and integrate ChatGPT to formulate messaging and copywriting. Tools that I'd like to learn more about are transaction management and virtual assistant. Its starting to feel like a crowded market for all the AI tools available to realtors. Cynthia Mattiza, Realtor Austin TX www.cynthiamattiza.com
As a broker and founder, I've seen AI work best for the time-consuming tasks from drafting emails, creating marketing materials, and organizing training resources. At Cher(r) (https://cherahome.com), we use it to help Realtors and loan officers stay consistent with communication and training, so they can focus more on clients. On the homebuyer side, we're building Nest Navigatetm (https://nestnavigate.com), a gamified education platform. AI helps us shape content modules and reminders, but when it comes to qualifying leads or guiding someone through a big financial decision, that's still where human empathy matters most. For me, AI is a support tool. It takes the busy work off my plate, so I can spend more time on the human side of real estate.
What specific tasks do you use AI for today? At The Erica Diaz Team, we use AI to support lead follow-up and client communication. AI drops personalized voicemails to leads we have not been able to reach, creates custom birthday and home anniversary messages, and helps with drafting content that we adapt for our CRM. We started testing and training AI agents with real call data to improve objection handling and provide transaction support. These tools help us scale consistent communication and keep potential clients engaged, while giving our agents more time to focus on negotiations, showings, and building relationships. What have you tried to use AI for and realized the tool wasn't a good fit for? We experimented with AI in more client-facing conversations, but quickly realized it lacked the empathy and intuition needed, and its slow response time was not good enough yet. Buyers and sellers notice when a response feels robotic, and trust is too important to risk. AI is excellent for repetitive tasks, reminders, and organization, but it cannot replace the human touch that clients expect during such a personal transaction. Our takeaway was to use AI as a support tool, not as a substitute for authentic communication. Credit: Erica Diaz Team Leader, The Erica Diaz Team https://ericadiazteam.com
I leverage AI to create highly targeted marketing copy for our online ads and direct mail, helping us connect efficiently with homeowners who need a fast, reliable sale. However, I once tried an AI chatbot for initial seller outreach, and it was a mistake -- as a coach, I know you can't automate trust, and the bot completely lacked the genuine empathy and personal understanding required when you're helping someone through a major life event.
I use AI primarily to quickly sort through a large volume of property leads, filtering for specific criteria like property type, location, and condition, which helps us identify promising opportunities in a fraction of the time it used to take. However, I learned that AI falls short when trying to assess the true condition and unique potential of a property during a walkthrough; it just can't pick up on the subtle details that an experienced renovator like myself can, which are crucial for maximizing value.
I primarily use AI for analyzing market trends and identifying overlooked opportunities in private mortgage notes, which helps me quickly assess potential deals and identify if there is an opportunity there before my team ever has to manually dig into it. We tried using AI for directly communicating with note holders about their unique financial situations, but it lacked the nuanced understanding and human empathy required for such sensitive conversations; genuine connection is key when people are making big financial decisions.
What specific tasks do you use AI for today? I use AI as a research and efficiency tool rather than as a decision-making tool. For example, I use it to rapidly generate market summaries that compare rental yields, price per square foot trends, and even local turnover rates before doing more thorough research. This allows me to save time by delivering a complete picture to client meetings in Des Moines, where micromarkets may vary from block to block. I also use AI for design visualization, which creates fast visuals of interior layouts or finish combinations so that clients may examine possibilities before making expensive changes. Recently, I helped a couple renovate a cottage close to Beaverdale. By showing them an AI-generated depiction of two distinct kitchen layouts, we were able to make a decision in a single day rather than weeks of back and forth. Such a pace preserved momentum and saved money. What have you tried to use AI for and realized it wasn't a good fit? It fails at everything that calls for nuance, trust, or local knowledge. Although I attempted to use AI-generated property descriptions, they lacked the relatable charm that buyers want. Despite being technically "modern, efficient, updated," the Des Moines listing lacked the soul of a hand-built deck that looked out over a shared garden, which turned out to be the selling factor. In my experience, AI is also inconsistent when it comes to creating budgets. It may provide data based on national averages, but when local labor shortages drive up costs, those numbers mean nothing. In the end, I've learned that human connection is what builds credibility and closes deals; AI is an adjunct, not a substitute.
AI is also useful for market research and trend analysis. ChatGPT helps me summarize the local housing data and write client communications and marketing copy within a few minutes. It is also time-saving when it comes to preliminary deal analysis through property data sets. With that said, AI lacks in situations where delicacy is needed. As an example, I tried AI in the negotiation of deals and property valuations. It did not have the local markets' contextual and emotional intelligence to create trust with the sellers. Equally, automated content lacks the nuances of compliance in the real estate contracts. Simply put, AI is an excellent efficiency assistant and not a substitute for the human experience in which relationships, judgment, and local knowledge make success.
I lean on AI to help me quickly organize property data and neighborhood stats into clear reports before I talk with a seller--it makes that first conversation smoother because I already have a well-rounded picture. Where it didn't work well was when I tested it for predicting seller motivation; AI just can't capture the human emotions and personal circumstances driving someone's decision to sell, and that's something I've learned I need to assess face-to-face.
I use AI mainly to help me draft clear, empathetic follow-up notes after initial seller conversations--having a structured first draft saves me time and lets me focus on the personal touches that really matter. Where AI hasn't worked is in trying to capture the emotional weight behind a seller's story; when someone is facing foreclosure or probate, the words need to come from me, not a tool, because that trust can't be automated.
I use AI to help me organize seller data and property details into clean summaries so I can make faster, more informed decisions without getting bogged down in research. Where it fell short for me was trying to use it to craft seller-facing messages -- I quickly realized homeowners can spot when the tone isn't genuine, and that trust is something I have to build myself, not delegate to a bot.
I lean on AI to speed up the early stages of deal analysis--like pulling together comps, tax assessments, and neighborhood data--so I can quickly see if a property is worth looking at in person. Where it fell short for me was trying to use it to predict renovation costs; AI doesn't account for the surprises you find once you start demo, like hidden water damage or outdated wiring, which only real-world experience can uncover.
I use AI to help me draft polished seller letters and marketing content much faster, which frees me up to spend more time actually meeting families and understanding their situations. But when I tried to use AI to interpret complex property issues from photos--like hidden structural concerns in older Baltimore rowhomes--it fell short; those are problems you only truly catch by walking the property yourself with years of local experience.
The fact that AI is still taking a take over of the real estate industry has individuals practicing as licensed experts in the industry questioning how they can utilize the technology to their advantage in their day-to-day functions and operations. Predictive analytics and chatbots predicting property values and forecast supporting their users may be regarded as some of the most common examples of AI use in the real estate business. All its efforts did not prove a successful case of integration of AI into the workflow. All the examples that one of the agents could have tried to apply AI to look through their contracts and have found that the tool did not interpret the legal language the right way. The fact that the real estate practitioners influence others to share their experience with different AI tools is relevant to help them make informed decisions about the ones they should apply to the processes they are engaged in.
Real estate professionals are increasingly using AI in fields such as analyzing complex market data and detecting trends. this helps to analyze pricing strategies and targeted marketing. AI chatbots are also utilized to field initial client enquiries - providing preliminary answers for basic questions and booking our clients to view a property. However, there are some AI tools which don't do the job as well. Virtual assistants or automated Lead generation systems, for example, might not be perfect and might not give accurate recommendations or recommendations could be arrays of irrelevant recommendations, which might result in a lost opportunity or a wasted time.
I use AI to help me quickly create structured first drafts of seller letters and marketing material, which saves time and lets me focus on adding the personal context families really care about. Where I found AI wasn't a good fit was in trying to gauge seller motivation--it simply couldn't capture the emotional weight of someone's situation, whether that's facing foreclosure or downsizing, and that's something I need to understand by listening directly to the homeowner.
AI has emerged as an effective tool in the real estate industry, being used primarily to sort leads, track documents and find general market data. AI takes the mundane tasks out of your day so you can put your time towards the actual deals, negotiations and the relationship with the client. The key decisions will always be based on experience and human judgement and there is no substitute for that in AI. I have also learned that there are tools that over-promise and under-deliver. These AI functions require a combination of real-life experience to work effectively. AI is trying to enhance your skill set and is not a replacement for it. There is some utility to using AI strategically to achieve greater levels of efficiency and time savings, however, success in real estate will always ultimately be limited to your ability to understand people, the market, and details that algorithms can't understand.
As a broker and investor, I lean on AI for tasks like drafting property descriptions and organizing initial lead data, which saves me valuable time in the early phases. That said, when I experimented with AI chatbots for pre-qualifying sellers, I quickly realized it couldn't replace the human sensitivity needed in distressed homeowner situations. Time after time, when emotions are high, my own conversations have made the differenceAI just can't replicate empathy.
The time-consuming preliminary work that used to take up much of my day is now handled by AI. Quick market snapshots, listing descriptions, and even coming up with new marketing concepts are now completed more quickly. It provides me a place to start, and I work to make it feel authentic and unique to the client's house. That is the most important portion. I've also leaned on AI for training materials with new agents. It helps me outline scripts and role-play scenarios, which saves me hours. Where it hasn't worked as well is direct client communication. I tried letting AI draft responses for texts and emails, but it just didn't sound like me. Clients can tell the difference, and I'd rather take a little longer to keep that personal touch. At the end of the day, AI helps free up my time, but it can't replace relationships. That's where I still step in fully.