Since its debut last November, OpenAI’s chatbot has powered a wave of real estate tech tools, including AI assistants, content generation services and enhanced search functions. Just last month, the Eklund-Gomes team launched its new website with a built-in AI chatbot called Maya.
Now agents can lean on these tools to answer questions about the market, craft listing descriptions and create social media posts. But with all the new products on the market, which products make the most sense for their business needs?
To generate the text, we fed ChatGPT some specs about the house, including the usual metrics like price, square footage and bedroom-bathroom count and some facts about the home’s history. We also ran the prompt through ChatGPT multiple times to refine its response.
While ChatGPT can certainly be a starting point, it requires some heavy lifting from users.
The process is in line with that of another tool, called Saleswise, that markets itself as an AI-powered listing generator. The interface for the product is similarly basic, though it prompts users specifically to input home features.
Instead of “the spacious 5 bedrooms, 8 bathrooms, and state-of-the-art home theater, provide you with the ultimate comfort and relaxation,” Saleswise wrote, “indulge in the luxuries of this home, starting with the 5 opulent bedrooms and 8 lavish bathrooms.”
But other tools on the market don’t require as much comprehensive input from agents. Instead, the platforms prompt agents to fill in categories with drop-down menus, multiple-choice sections and key phrase generators.
The tool allows users to select a specific unit in a building and generate a listing description based on Marketproof’s existing information about the property. Users can designate the word length using a sliding scale and select whether they want the listing to have a professional, neutral or casual tone.
The next section includes an already-generated list of features to highlight in the description based on Marketproof’s data on the property. These can include phrases like “terrace,” “double-height ceilings” and “walls of windows.”
While the output did achieve a casual tenor, agents will have to give descriptions generated with this tool a healthy few read-throughs. Several sentences were missing key words or phrases , including starting a paragraph with “not only a family room but also a media room, conservatory, and library/office, offering ample space for relaxation and entertainment.”
We used Listingcopy.ai to create another listing for the Central Park Tower unit, selecting the framework as “SEEDS: Storytelling & Evocative Emotion-Driven Sales Text,” the length as “Medium — Maximum 400 words,” audience as “The Luxury Buyer,” and the tone as “Inspirational.”
While the drop-down menus and prompts make this tool easy to use, unlike Marketproof, agents will need to manually add property features to ensure they’re mentioned in the description. And the output, while true to the tone and length selected, needs a human touch.
The tool also made promises that it can’t keep. One of the sentences read, “For those seeking a secondary home or investment property, this duplex promises a significant return, both in terms of financial gain and unparalleled luxury living.”
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Brokerages, agents and other industry players are jumping on the ChatGPT buzz to launch their own artificial intelligence tools. Since its debut last November, OpenAI’s chatbot has powered a wave of real estate tech tools, including AI assistants, content generation services and enhanced search functions. Just last month, the Eklund-Gomes team launched its new website
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Robert Khodadadian has long had a simple philosophy about selling real estate. There are approximately a million buildings in the city, and the broker that gets to sell any one among the multitude that will hit the auctioning block at a given moment is, sometimes, simply the person who happens to pitch their services to the right seller.