How AI Is Changing the Way Homes Are Marketed, Searched, and Sold

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Artificial intelligence is becoming a regular part of the real estate sales process, especially in the way homes are presented, searched, and understood before a buyer ever steps inside. Agents are using the technology to create marketing materials, refine staging concepts, organize client searches, and help people see the potential of a space more quickly.

Real estate still depends heavily on local knowledge, trust, and professional judgment. AI is now working its way into the earliest stages of a transaction, when buyers are narrowing options and agents are trying to present a property in a way that feels clear, accurate, and compelling.

Staging and Editing to Optimize a Listing

One of the most apparent changes is happening in listing presentation. Empty rooms, poor-quality photos, awkward layouts, and hard-to-read spaces can make it difficult for buyers to understand a home. AI-generated visualization gives agents another way to show scale, layout, and design potential before a buyer dismisses a property too quickly.

That use is already showing up in day-to-day marketing. Caroline Bass, Associate Broker at Corcoran, has seen AI become part of the listing process through photo enhancement, virtual staging, lighting adjustments, and view presentation. In one listing, a seller had taken a sunset photo that captured the view beautifully, but the image quality was not strong enough for marketing. Bass used AI to recreate the sunset within the professional listing photo, then had the seller approve the image before publication. “When used responsibly and transparently, it can help showcase a property in its best light while still accurately representing the home,” Bass says.

AI is also changing how agents think about staging before any furniture appears in a photo. Instead of selecting a generic design package, agents can use AI to think through the likely buyer profile, then create a look that better reflects how that person may want to live in the home.

Erin Wheelock, Associate Broker at Keller Williams NYC, sees that as one of the advantages of using AI during the staging process. Agents can ask questions, refine the buyer profile, and prompt the technology to create a design direction around that audience. “This allows for the agent to get more specific in hopes of attracting the right person,” Wheelock says.

That can be especially useful in apartments where layout and scale play a major role in how a buyer reads the space. A vacant studio may feel limited at first, then become easier to understand once a buyer sees how sleeping, living, and work areas could be arranged.

Inga Wszolek of BOND New York has made AI-generated visualization a regular part of her process with vacant homes. “I’ve personally had great success using tools like ChatGPT and Collov AI to help buyers and renters visualize the potential of a space,” she says. Over the past year, she has used some form of AI-generated visualization for every vacant listing she has marketed unless the property was already furnished.

That approach also helped with a vacant condo in Greenpoint, where Wszolek represented the buyer. The listing photos showed an empty apartment with no staging, making it harder for her clients to picture how the space could be used. She created AI-generated staging concepts from the existing listing photos and shared them with the buyers. Seeing the apartment furnished helped them understand the home more clearly and move forward with more confidence.

Benjamin Strat of the Strat team at Keller Williams NYC says AI for staging can work well for empty apartments with simple layouts because it is quick, inexpensive, and often comparable to other options. His team still uses professional staging and digital rendering resources in more complex situations, where AI may produce glitches or less polished images. “From a price standpoint AI can’t be beat,” Strat says.

Speed, however, creates its own risk. Strat has seen AI go beyond the original request and adjust parts of an apartment that should not be changed. That kind of error can create misrepresentation if an agent does not review the image carefully before it goes live.

Buyers Are Testing Layouts Before They Buy

AI is also moving into the buyer side of the process. In dense urban markets, apartments can be small, oddly shaped, or difficult to imagine furnished. Buyers are now using AI to test design ideas before they make a decision.

Bass recently worked with a buyer considering an alcove studio on Central Park South who used AI to create layouts, furniture plans, curtain dividers, color palettes, and design styles before closing. By the time the apartment closed, the buyer already had an AI-generated mood board and design plan ready. “It’s helping people see possibilities that they may have otherwise overlooked,” Bass says.

Wheelock is seeing similar behavior from buyers who want to experiment with changes before purchasing. They can upload apartment photos and ask AI to test different ideas, from changing a wall color to placing a specific sofa in the room. “You can really try before you buy as they say,” Wheelock says.

Strat sees the most value when buyers use AI to place individual furniture pieces into a room and test how they look. Larger renovation concepts require more caution. AI may not understand spacing, building restrictions, structural realities, or what a board will allow. Strat, who is married to the lead designer of Kroesser+Strat Design, still sees a strong role for design professionals when buyers are considering major changes. But he does consider AI as an effective way to brainstorm creative ideas. 

Search Moves Beyond Basic Filters

AI is also changing how buyers and agents search for homes. Traditional search tools are built around filters such as price, bedroom count, neighborhood, and property type. AI allows users to combine those basics with more specific preferences, such as monthly costs, light, outdoor space, building amenities, nearby parks, or proximity to certain institutions.

Bass saw this at a recent showing for one of her Upper East Side listings. A buyer arrived with a list generated by an AI platform after asking for the best apartments on the Upper East Side between $600,000 and $1 million, and two of her listings appeared on the list. 

Because the buyer had already narrowed the search, Bass was able to show both apartments during the same visit. She sees AI becoming another entry point into the search process, while the agent can help buyers interpret what they are seeing. In her view, the agent’s role is increasingly tied to evaluation, context, and decision-making.

Wheelock has also used AI from the agent side to identify buildings that may fit a buyer’s preferences. When a client likes one or two buildings, she can ask AI to find others with similar traits, such as proximity to Central Park, lower monthly costs, a roof deck, strong light, a formal dining area, or a certain number of bedrooms and bathrooms. The results still need to be reviewed, but she says the process can turn hours of research into a much shorter task.

Strat has seen buyers use AI less as a full home-search replacement and more as a research companion. Some use it to compare properties, ask about values, review due diligence materials, or organize questions around contracts, offering plans, and building financials. Others use it to find agent recommendations or property suggestions before returning to a real estate professional for guidance.

But Strat also says that when buyers are researching with AI, they may receive answers that sound more definitive than they should. If a buyer asks what is wrong with a building’s financials, AI may identify a concern without explaining whether it is serious, unusual, or common for that type of property.

That can affect how a buyer feels about a home before an agent or attorney has a chance to explain the issue. A building detail that sounds alarming in isolation may be routine in context. Without professional guidance, AI can make some issues seem larger than they are.

The same caution applies to design and renovation ideas. AI can show possibilities, but it does not always know what a building allows, what a renovation would cost, or whether a design concept could realistically be built.

What AI Means for Real Estate

AI is giving sellers new ways to present homes that are vacant, difficult to photograph, or hard to understand at first glance. Stronger visuals, more targeted staging concepts, and faster preparation can help a listing make a clearer first impression.

Buyers are gaining new ways to compare homes, imagine layouts, test furniture, explore design directions, and organize questions before speaking with a professional. The technology can make the early search process more interactive and give buyers more information before they tour or make an offer.

But real estate remains a human business. AI can help buyers and sellers see more possibilities, while agents, attorneys, lenders, appraisers, designers, and other professionals remain important sources for understanding what those possibilities mean.