ListAssist is the ideal solution for real estate marketing teams tasked with producing original copy on a daily basis, creatively exhausted agents, and tech-savvy teams who want to automate even more tedious business tasks.
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ListAssist is software for automating property marketing descriptions.
platform: Browser
ideal: teams, agents, marketing managers
top selling point:
- Integrated image scanning/computer vision
- Combining AI and User Insights
- Feature tagging per room
- Simplified editing and version control
- very quick to learn
greatest concern:
Ultimately, ListAssist users must contend with a dizzying array of MLS regulations, word and character counts, and more. This may require additional manual editing or discourage you from adopting write-only software.
Things to know:
wrist assist is based in New Zealand and has landed its first few customers in the US after building a strong customer base there. Unlike ChatGPT and Jasper AI, ListAssist is solely focused on helping realtors create faster, more engaging listing content. The software leverages its “computer vision” algorithms to scan uploaded photos and read images from each room to identify salient features and display them as a series of tagged writing prompts. Saving, editing and regenerating content is very intuitive. It’s the ideal solution for marketing teams tasked with creating original copy every day, creatively exhausted agents, and tech-savvy teams who want to automate even more tedious business tasks.
Few things weigh down ListAssist. It’s lightweight and the user experience doesn’t get in the way of the product’s main direction. Using photographs to extract physical information about a house is a very sharp use of computer vision technology. The user simply selects or deselects items that are identified by room, adds some custom terms, and generates a draft description. Again, you can add your own catchy terms and phrases for each room.
While your photos are being processed, ListAssist uses your address to populate location data such as nearby restaurants, commute information, and community amenities. This is something agents often leave out of their descriptions, but lifestyle-minded buyers should check. Remember, your listing copy will appear in more places than the MLS and will attract the attention of your colleagues.
If you like one, mark it as done, copy it and run it. We also have an internal rating system for each initial result so that the ListAssist team knows what’s working.
Probably my favorite component is the editing interface. It divides the property description into multiple sections (intro, bedroom section, kitchen section), so each part can be addressed individually to conclude. This is because trying to edit large blocks of text can be distracting. Think of it like staging each room in the property for its own purpose.
Along the user’s left is a numbered sequence that identifies each step in the workflow, and hovering over the list reveals its hidden functionality. This is another subtle but witty piece of his UX engineering to keep the focus on overall minimization of user interaction.
The initial login screen maintains horizontal scrolling of properties in the system for easy access and new edits.
I met the team behind ListAssist at Inman Connect Las Vegas last August. They used the event as a research platform and arranged meetings during their stay in the United States. That’s because the company has since rebranded and hired computer vision experts to make the software even more capable of reading and extracting data from the photos on the list.
The real power here comes from the fusion of AI and user insights. The software cannot add subjective context regarding the uniqueness of a property, such as the views the property offers, undocumented historical facts, or what the neighborhood looks like. Anyway, not yet.
The bottom line is that ListAssist is a well-crafted piece of software that articulates the problem it wants to solve. And as someone who has written and read many listing descriptions over the years, I can confidently say that there is no shortage of agents available for this help.
Have a technology product you’d like to discuss? Email Craig Lowe
Craig C. Rowe got his start in commercial real estate at the dawn of the dot-com boom, helping a series of commercial real estate companies grow their online presence and analyze their internal software decisions. He currently reviews Inman’s software and technology to assist agents with their technical decisions and marketing.
