Category: AI & Real Estate

  • Can AI Write a Real Estate Listing Description? What Sellers Should Know Before Using It

    Can AI Write a Real Estate Listing Description? What Sellers Should Know Before Using It

    Artificial intelligence can write a real estate listing description in seconds. Give it the number of bedrooms and bathrooms, a few property features, and some information about the neighborhood, and it can quickly produce polished language describing the home.

    As someone who enjoys learning about artificial intelligence and also works in real estate, I find this incredibly useful. I also think it is a good example of why using AI well requires more than simply asking it to write something and copying the answer.

    A listing description is advertising a real property. The words need to be appealing, but they also need to accurately represent the home. Sellers should understand that AI can be a helpful writing assistant, but it does not know the property unless someone gives it accurate information, and it does not take responsibility for checking whether what it writes is true.

    AI Can Be Very Helpful With the First Draft

    Writing about a home can be surprisingly difficult, especially when you are trying to describe a property you know very well.

    A homeowner may immediately think of the things that matter personally, such as the kitchen where the family gathers or the backyard where the children play. A real estate professional may be thinking about the property’s floor plan, location, architectural details, recent improvements, and features that could be important to prospective buyers.

    AI can help organize all of that information into a starting point.

    For example, if I provide accurate details about a property, I can ask AI to help organize those details, identify information that deserves more attention, or create an initial description that I can then review and revise.

    That can save time, but saving time should not mean skipping judgment.

    AI Only Knows What We Tell It

    One of the most important things to understand about AI generated writing is that confident language does not necessarily mean accurate language.

    If an AI system does not have enough information, it may make assumptions or introduce details that sound perfectly reasonable but are not actually true about the property.

    Imagine a home with a beautiful outdoor space. AI might be tempted to describe it as private, peaceful, or ideal for entertaining. Those words may sound attractive, but are they accurate? Perhaps the yard is visible from neighboring properties. Perhaps the seller has never used it for entertaining. Perhaps there is another, more precise way to describe what is actually there.

    This is why every factual statement in AI generated real estate content should be reviewed by a person who understands the property.

    The goal is not to make a home sound as impressive as possible. The goal is to describe its strengths accurately and effectively.

    Good Real Estate Writing Is More Than a List of Adjectives

    One thing I have noticed about AI writing is how easily it can become filled with words such as stunning, luxurious, exceptional, breathtaking, and spectacular.

    Sometimes those descriptions may be appropriate. When every room is stunning and every feature is exceptional, however, the words begin to lose their meaning.

    I prefer real estate writing that helps someone understand the property.

    What makes the floor plan useful? How does the indoor space connect with the outdoors? Is there a first floor bedroom that could serve a particular practical purpose? Does the kitchen have a walk in pantry? Is there additional storage that might not be obvious from the photographs?

    Specific information can often tell a home’s story better than a long collection of adjectives.

    AI can help with the writing, but someone still needs to decide what is genuinely worth saying.

    Fair Housing Rules Still Matter When AI Is Doing the Writing

    There is another important consideration that should never disappear simply because technology is involved.

    Real estate advertising is subject to fair housing laws. Certain language about people, families, religion, disability, or other protected characteristics can create serious problems in real estate marketing.

    AI does not remove the responsibility to comply with those rules.

    A person using AI to help prepare real estate advertising should still carefully review the language before publishing it. Technology may assist with a draft, but the person using the technology remains responsible for how that content is ultimately used.

    This is an area where convenience should never replace careful review.

    AI Cannot Walk Through the Home

    A photograph and a list of property features can tell us a lot, but they do not tell us everything.

    When you physically walk through a home, you notice details that may never appear in the basic property data. You notice the way rooms connect, where natural light enters, whether there is an unexpected storage area, how the backyard relates to the living space, and which features are likely to stand out when buyers visit.

    Those observations can change the way a property should be described.

    This is one reason I do not think the question is whether AI or a person should write the listing description. I think the more useful question is how a person can use AI without giving up the knowledge and judgment that come from actually understanding the home.

    Real estate professional walking through a Los Angeles home and observing its natural light, layout, and architectural features before preparing the property listing.
    Understanding a home in person can reveal details that photographs and property data alone may not capture, helping create a more accurate and meaningful listing description.

    Sellers Should Read the Description Too

    Before a listing description is published, I think sellers should read it.

    They know their home in a way nobody else does. They may notice an inaccurate detail, remember an improvement that deserves to be mentioned, or point out something important that was overlooked.

    That does not mean every personal detail belongs in a listing. It means the seller can be another valuable source of information when making sure the description accurately reflects the property.

    AI can make the writing process faster, but communication between people still matters.

    The Best AI Generated Description Should Not Feel AI Generated

    To me, this is where AI becomes most useful.

    I do not want a property description to sound as though a computer wrote it. I want technology to help organize information and make the writing process more efficient while the final description still sounds natural, accurate, and appropriate for the individual home.

    That requires editing. It requires removing exaggerated language, checking facts, considering fair housing requirements, and sometimes rewriting entire sections because the first version simply does not sound right.

    Artificial intelligence can be a very capable assistant in real estate marketing, but it should not be treated as an automatic publishing button.

    Used thoughtfully, AI can help us spend less time staring at a blank page and more time deciding what information actually matters. For sellers, that distinction is important because the goal is not simply to produce more words about a home. It is to communicate what makes the property worth seeing while making sure those words remain accurate and responsible.

    With gratitude and a heart for service,

    Claudia Backus, MBA
    California Real Estate Broker
    REALTOR®
    Serving Pacific Palisades & the Westside of Los Angeles

  • Can AI Help Price a Home? What Los Angeles Sellers Should Know About Automated Valuations

    Can AI Help Price a Home? What Los Angeles Sellers Should Know About Automated Valuations

    Artificial intelligence can analyze enormous amounts of information in seconds. It can recognize patterns, compare data, summarize market information, and help us make sense of numbers that might otherwise take much longer to review.

    So it is understandable that homeowners may wonder: Can AI simply tell me what my home is worth?

    The answer is more interesting than a simple yes or no.

    AI and automated valuation tools can be incredibly useful when evaluating real estate. They can give homeowners a starting point and help identify patterns in a local market. But pricing a home for sale involves something technology still cannot fully understand from data alone: the individual home, the circumstances surrounding the sale, and the behavior of buyers in that particular market.

    Understanding what AI can do, and where human judgment still matters, can help homeowners use these tools more wisely.

    What Is an Automated Home Valuation?

    Many homeowners have already encountered automated home valuations online, even if they have never thought of them as a form of technology driven analysis.

    These estimates typically use information from public records, property characteristics, previous sales, nearby transactions, and other available market data to calculate an estimated value.

    More sophisticated systems can process very large amounts of information and identify relationships within that data much faster than a person could manually.

    That ability is valuable.

    If hundreds of homes have recently sold within a particular area, technology can quickly organize those transactions by characteristics such as location, square footage, bedroom count, lot size, and sale price.

    But organizing information and interpreting a particular home are not exactly the same thing.

    A Home Is More Than Its Data Points

    Two homes can appear remarkably similar on paper and still feel completely different when you walk through the front door.

    Imagine two houses located only a few streets apart. They have similar square footage, the same number of bedrooms, comparable lot sizes, and were built around the same time.

    An automated model may reasonably view them as close comparisons.

    But perhaps one has been beautifully maintained while the other needs substantial updating. One may have exceptional natural light, a peaceful backyard, or a layout that buyers immediately connect with. The other may sit on a noisier street or have a floor plan that feels less functional.

    Some of those differences may eventually appear in the data. Others are difficult to quantify.

    This is one reason an automated estimate should generally be viewed as information rather than a definitive pricing decision.

    Different styles of Los Angeles homes in a residential neighborhood with the city skyline in the distance.
    Homes that appear similar in the data can have meaningful differences in architecture, condition, location, and setting that influence how buyers perceive value.

    AI Is Only as Good as the Information Available to It

    AI can analyze information extremely well, but it cannot analyze information it does not have.

    Property records may contain outdated square footage. Improvements may not be fully reflected in public data. A remodel may have dramatically changed the way a home presents. Conversely, a property may look similar to another home in a database while being in very different condition.

    There is also the question of timing.

    Real estate markets are constantly moving. New listings come onto the market. Properties receive offers. Sellers reduce prices. Homes fall out of escrow. Buyer activity can strengthen or weaken.

    The most useful pricing analysis therefore requires more than simply knowing what sold months ago. It also helps to understand what buyers are seeing and choosing right now.

    Asking Price and Market Value Are Not the Same Thing

    One of the easiest mistakes to make when looking at real estate data is treating every number as equally meaningful.

    A home’s listing price tells us what the seller is asking.

    A closed sale tells us what a buyer actually agreed to pay and what successfully completed the transaction.

    An active listing can help us understand the competition a seller may face, but it does not prove that buyers believe the home is worth the asking price.

    This distinction matters when using AI or any other data tool.

    A system can organize active, pending, and sold properties beautifully, but someone still needs to interpret what those different statuses mean.

    Pricing Is Also About Positioning

    When preparing a home for sale, the question is not simply, “What number describes this property?”

    There is another important question:

    “How should this home be positioned in the current market?”

    Those are not necessarily the same question.

    A seller may want to price aggressively and wait for a particular buyer. Another seller may value a faster sale. In some markets, a pricing strategy may be designed to encourage strong early activity. In others, buyers may be more cautious and have many competing homes to choose from.

    The appropriate strategy depends on the property, the market, and the seller’s priorities.

    AI can help analyze the information behind that decision. It cannot decide what matters most to an individual homeowner.

    Where AI Can Be Extremely Helpful

    None of this means homeowners should ignore AI. I believe the opposite is true.

    Used thoughtfully, AI can make real estate analysis more efficient and potentially more informative.

    It can help organize comparable properties, identify patterns, summarize large amounts of market information, examine pricing trends, and highlight questions worth investigating further.

    For a real estate professional, these tools can also reduce time spent on repetitive data organization and create more time for analysis, communication, and service.

    The important distinction is between using technology to support judgment and asking technology to replace judgment entirely.

    Why a Comparative Market Analysis Still Matters

    A Comparative Market Analysis, commonly called a CMA, brings several pieces of the pricing puzzle together.

    Comparable sales are important, but a thoughtful CMA can also consider active competition, pending activity when information is available, property condition, location, market timing, and the characteristics that distinguish one home from another.

    The numbers provide evidence.

    The analysis gives those numbers context.

    AI can strengthen that process by helping professionals work with information more efficiently. But the final interpretation still benefits from someone asking questions the computer may not know to ask.

    Why did one home sell quickly while another remained on the market?

    Was there something unusual about a particular sale?

    Does a comparable property really compete with this home from a buyer’s perspective?

    Has buyer behavior changed since the older comparable sales closed?

    Those questions require context.

    The Best Use of AI May Be as a Second Set of Eyes

    I do not think homeowners need to choose between technology and people.

    The more useful approach may be to combine them.

    AI can serve as an extraordinarily capable analytical assistant. It can process information, identify patterns, and help us notice things we might want to examine more closely.

    A real estate professional can then evaluate those findings in the context of the actual property, the neighborhood, current competition, and the seller’s goals.

    That combination is much more interesting to me than asking whether AI will replace traditional real estate analysis.

    The better question is how we can use better technology to make better informed decisions.

    What Should Los Angeles Homeowners Take Away From This?

    If you look up your home online and see an automated value, you do not need to dismiss it.

    But you also do not need to treat it as a final answer.

    Think of it as one piece of information.

    If you are simply curious about your home’s approximate value, an automated estimate can be a convenient place to begin. If you are actually considering selling, the pricing decision deserves a deeper look at recent comparable sales, current competition, the home’s individual characteristics, and what is happening in your specific local market.

    Los Angeles is not one uniform real estate market. Even within the Westside, buyer behavior and property characteristics can vary significantly from neighborhood to neighborhood and sometimes from one street to another.

    Technology gives us more information than homeowners and real estate professionals have ever had before.

    The opportunity is not to surrender our decisions to that technology.

    It is to use it intelligently.

    With gratitude and a heart for service,

    Claudia Backus, MBA
    California Real Estate Broker | REALTOR®
    Serving Pacific Palisades & the Westside of Los Angeles

  • How AI Is Changing Real Estate Without Replacing Human Judgment

    How AI Is Changing Real Estate Without Replacing Human Judgment

    This week, while attending The MLS Summit 2026 at the Skirball Cultural Center on the Westside of Los Angeles, I was especially interested in the conversations about artificial intelligence and the ways AI is becoming part of the real estate industry. I love AI. I use it, I learn from it, and I am fascinated by how quickly the technology is developing. At the same time, I believe that the more powerful these tools become, the more important it is to understand what they can do well, where they can be wrong, and when human judgment still matters.

    For homeowners thinking about selling, I believe that distinction is particularly important. Technology can help us work faster and analyze more information, but selling a home is still a very personal decision that involves goals, timing, finances, circumstances, and sometimes a great deal of emotion.

    My Interest in AI Started Before the MLS Summit

    My interest in artificial intelligence did not begin at this conference. Last summer, I took a UCLA Extension course called AI Safety, Policy, and Ethics: What is Responsible AI. I wanted to understand not only what artificial intelligence can do, but also how it should be used responsibly, including questions involving ethics, safety, transparency, accountability, and privacy.

    Even after completing my formal education, I have always enjoyed taking classes and continuing to learn. Real estate, technology, finance, and business are constantly changing, and I do not think learning should stop simply because you have a degree or a professional license.

    Even after graduation, I have always enjoyed continuing to learn. Last summer, that curiosity led me to take AI Safety, Policy, and Ethics: What is Responsible AI through UCLA Extension.

    AI Has Already Changed the Way I Learn Real Estate

    One reason I personally appreciate AI is that it helps me ask better questions. Real estate has an enormous amount to learn, from MLS rules and contracts to disclosures, market statistics, pricing considerations, financing, local regulations, and technology. When I encounter something unfamiliar, AI can help me understand terminology, organize a complicated subject, think through questions I may not have considered, and identify what I need to research further.

    I find that incredibly useful, but there is an important distinction between using AI to help formulate a question and assuming that its answer is correct. I still need to verify important information through the appropriate sources, review MLS data, understand the property and local market, and sometimes ask another professional who knows considerably more about a particular subject than I do. AI can help me learn, but it does not eliminate my responsibility to do my homework.

    There Is More Than One AI Tool

    One of the slides at The MLS Summit showed several general purpose AI tools together, including ChatGPT, Claude, Gemini, and Perplexity. I liked that slide because it was a reminder that AI is no longer one mysterious piece of technology. Professionals now have access to different tools that can assist with research, organization, analysis, communication, and productivity.

    Artificial intelligence was part of the conversation at The MLS Summit 2026, including how tools such as ChatGPT, Claude, Gemini, and Perplexity are becoming part of everyday professional workflows.

    For real estate professionals, these tools can potentially help us organize information, analyze data, prepare for conversations, research unfamiliar topics, and work more efficiently. That can be valuable, but efficiency is not the same thing as judgment.

    A Home Is Not Just a Collection of Data

    This is where I think the conversation becomes especially relevant for home sellers. AI can analyze numbers very quickly, recognize patterns, and process amounts of information that would take a person considerably longer to review. That ability can be extremely helpful when we are studying a market or trying to make sense of a large amount of real estate data.

    But determining how to position a particular home for sale requires context too. How does the home compare with the competition buyers are seeing right now? Which comparable properties are truly comparable? Does a renovation add the value a homeowner expects it to add? How might buyers respond to the condition of the property? Is there something unusual about the location, lot, layout, view, privacy, or neighborhood that changes the comparison? These are the kinds of questions where data is important, but interpreting the data matters just as much.

    There is also something even more important that a computer cannot decide for a homeowner: what the seller actually wants. One person may prioritize price, while another may care more about timing, privacy, convenience, or certainty. A family may also have circumstances that influence which selling strategy makes the most sense. Understanding those priorities requires a conversation, not simply an algorithm.

    AI Can Provide Information, but People Provide Context

    I do not see AI and real estate professionals as competitors. I think the better question is whether a real estate professional knows how to use technology without outsourcing judgment to it. If AI can help me research something faster, discover a question I should be asking, or organize information so I can spend more time understanding a seller’s goals, I consider that valuable.

    At the same time, I never want technology to become a substitute for listening. For me, good real estate service still means understanding the person sitting across from me, doing the research, verifying important information, explaining the available choices, and being willing to say, “I need to look into that further,” when I do not know an answer. In many ways, I think AI makes that responsibility more important, not less.

    The Future of Real Estate Can Be Both High Tech and Human

    I am excited about artificial intelligence, and I want to keep learning about it, experimenting with it, and finding responsible ways to use it in my work. At the same time, I hope the real estate industry never loses sight of what technology is supposed to accomplish. It should help us become better informed, ask better questions, work more efficiently, and ideally give us more time and better information to serve people well.

    Homes are personal. Selling one can involve finances, family, memories, uncertainty, and major life decisions. No matter how sophisticated our technology becomes, I believe there will always be value in having a knowledgeable human being listen, think, research, explain, and care.

    I am grateful that I have opportunities to keep learning, whether through a UCLA Extension classroom, a real estate conference, the MLS, or simply asking another question when I realize there is something I do not yet understand. For me, that is what learning is ultimately for: not simply knowing more, but becoming better equipped to be of service to others.

    Claudia Backus, MBA, REALTOR®
    California Real Estate Broker
    Serving Pacific Palisades & the Westside