Choose Wisely: Automated Listing Description Generators Can Be Categorized into Three Tiers

When we first launched Nila June’s custom language model for listing descriptions, there were only a handful of property description generators on the market. Now there are too many to mention and rank by name, but they are logically sortable into three categories. Here they are, from least to most sophisticated:

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  Low end: Most property description generators are simple overlays to OpenAI’s GPT or other large language model (LLM). Think cheap vinyl siding or faux brick. With a little bit of information, they produce unremarkable, cookie cutter results that require significant editing to ensure uniqueness, accuracy, and compliance with fair housing regulations.
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  Mid-tier: A tech-heavy hybrid system that attempts to read photographs uploaded by the agent, and then feeds the information gleaned from those photographs into a large language model such as OpenAI’s GPT.
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  High end (Nila June): The best descriptions come from a purpose-built, easy-to-use AI system, created by professional writers in consultation with real estate agents, without relying upon ChatGPT or other Large Language Models (LLMs). As far as we can tell, this is a category of one: Nila June.

Let’s look at each of these three categories.

Low-end, a simple overlay to free commercial AI

Low-end services offer an interface that asks users to select only the most basic facts about the home from a brief checklist. The simplest ones don’t even offer the checkboxes, but instead ask users to freetype details about the property into an open text box. When deciding whether to choose one of these simple property description generators, listing agents should ask themselves: With this paucity of information, could even a professional human writer come up with a great description?

The results can be disappointing. The output is an assembly of the most common property description phrases. Every view is “stunning.” The home “boasts” a tire swing. (Free advice: Don’t use “boasts”.) The home is “perfect for” this or that purpose or demographic. “Perfect for entertaining loved ones” shows up a lot. And “Perfect for small families”–ouch. (More free advice: Don’t use “perfect for”). Sometimes the descriptions are simply factually incorrect, with the addition or omission of whole rooms, floors, and exterior features!

Mid-tier, photo upload and then a simple overlay to free commercial AI

Some companies replace the checkbox or open-text input forms with a photo upload requirement. This makes for a sharp product video, but in practice it imposes a mechanical and QA burden on the customer. Those who are interested in the technology and willing to play a QA role in photo recognition may embrace the process. However, in our experience, few busy real estate agents are in this category.

The information gleaned from the photos and QAed by the agent is sent to an LLM. That’s logical, but now we’re back to all of the textual disadvantages described above. (And of course, there is also the monthly subscription fee!).

When deciding whether to choose a property description generators that comes with a technological hurdle, listing agents should ask themselves: Wouldn’t I rather be selling?

High end, Nila June’s custom language model

Choosing the right property description generator usually means choosing Nila June. There’s a reason why the tech-forward MIAMI Association of REALTORS® and others have selected Nila June as their preferred vendor in this category.

With no dependence on ChatGPT, no photo upload requirement, and no monthly subscription fee, Nila June stands out for ease of use, and for delivering the best property descriptions.

Nila June does not use a commercially available large language model, such as GPT. Instead, professional human writers created Nila June’s proprietary language system, with an eye toward freshness, creativity, and engagement.

When we pair the listing agent’s survey responses with Nila June’s purpose-built language system, the result is a great property description.