AI generates accurate listing descriptions by utilizing comprehensive MLS data, geolocating the address to incorporate nearby features, and analyzing MLS images. This integration of MLS data, geographical context, and property images results in a thorough and detailed property description.

Full white labeling of the AI for the MLS and Real Estate Agents, allowing customization of the domain, logo, and feature descriptions.

When a property is searched, the AI will prompt realtors to confirm or correct bed, bath, and square footage details before proceeding with the comparison process. A ranking system based on percentage match will help realtors assess the similarity of comparables to the subject property, with specifics outlined in the project specifications.

Allows realtors to personalize the property comparison page for client presentations in PDF or link formats, with options for adding their name, brokerage logo, preferred colors. These customizations will only affect the viewer’s perspective and not the general settings.

finds comparables to calculate the price per square foot and estimated price of the subject property, integrating MLS market trend data into the A.I analysis. Property images will be analyzed to determine updates, and the predicted price will be adjusted based on a predetermined value system that adds or subtracts a percentage of the square footage.

Agents can upload videos to be professionally edited and shared on social media. If no content is provided, the AI will gather information and images from the MLS and Google to generate and publish posts on social media platforms.

This feature simplifies realtors’ tasks by automating home search and client communication. Realtors can input client preferences, and the AI scrapes listings based on those details, allowing them to either send listings directly to clients or receive them first. The AI can interact with clients, setting up showings and booking appointments in the realtor’s calendar, while providing status updates and summaries via text. Realtors can manage client information, adjust search criteria, and track client activity through an easy-to-use interface that supports efficient workflow.

drafting property tax appeal letters by automating the process through public data analysis, comparable property searches, and legal letter generation, with a user-friendly interface and ongoing support.

Agents will be able to get contracts filled out by answering a field of questions and then the A.I. will generate bullet points going over the most important parts 

Agents will be able to ask the A.I. questions and have a conversation about broker laws and regulations that are up to date with current information