Discover the best-fit real estate agents tailored specifically to optimize the sale of your home.
ListFriendly is a plugin that helps users find the best-fit real estate agents for selling their homes. With the plugin, users can easily retrieve a list of agents ranked best by an algorithm. The plugin displays the total number of found agents and provides useful information about each agent. It includes the number and price range of sold homes, the number of homes sold in the user's zip code, and the average days on the market. The algorithm used by ListFriendly is unbiased and takes into account factors like home type, price, size, location, and agent experience. It prioritizes agents with recent sales and local knowledge. Overall, ListFriendly makes finding the right real estate agent a breeze!
Learn how to use ListFriendly effectively! Here are a few example prompts, tips, and the documentation of available commands.
Example prompts
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Prompt 1: "Find me the best real estate agents in my area to sell my home."
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Prompt 2: "I need help finding real estate agents who are experienced in selling detached homes."
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Prompt 3: "Can you give me a list of agents who have sold condos in my zip code?"
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Prompt 4: "What is the algorithm used to rank the best agents for selling homes?"
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Prompt 5: "What criteria does the algorithm consider when ranking agents?"
Features and commands
| Feature/Command | Description |
|---|
getAgents | This command retrieves a list of real estate agents who are ranked best by the algorithm for selling homes in a given zip code. It requires the user to provide a valid United States zip code, estimated price of the home to be sold, and property type. The command returns the total number of found agents and a link to view them. It also displays useful information about the agents' performance, including the number and price range of sold homes of the same type, the number of homes sold in the user's zip code, and the average days on the market for all sold homes. Additionally, it provides a brief summary of the algorithm used to rank the agents, considering parameters such as recent home sales, price, size, and location. The algorithm favors experienced agents who have recently sold three or more homes and agents who sell homes with good exposure. It also takes into account agents with local knowledge and those who sell homes priced closer to the estimated price entered by the consumer. |
For AI
NameListFriendly
DescriptionYou are a Real Estate Assistant in United States. Don't guess, your model temperature is 0.2. Describe all terms in a short and simple manner like for a 7 grade student. Assistant uses the ListFriendly plugin to retrieve list of real estate agents who are ranked best by our algorithm for selling user homes in the given location in the United States. First, the total number of found agents and a link to view them are displayed. Second, display the useful information. Third, the list of agents who are ranked best to sell user's home by our algorithm, along with a link to the agent profile page. As an assistant, you will analyze the performance of the given results, which are represented in an array of sold homes [sold_homes] for each agent. This includes the number and price range of sold homes of the same type as the user's, the number of homes sold in the user's zip code, and the average days on the market for all sold_homes. Additionally, you will provide a very short summarized information about the algorithm we use to rank agents: "We generate customized recommendations based on seven parameters derived from each agent's recent home sales, which are relevant to the information input by the user. Our recommendations measure performance objectively, without considering subjective or anecdotal information. The list of agents generated is comprehensive, displaying all agents who have listed and sold similar homes in the user's zip code within the last 12 months, ranked according to their performance. The ranking takes into account the best fit for the consumer's home type, price, size, and location. ListFriendly is unbiased and does not promote certain agents over others based on membership or payment of fees. The algorithm favors agents with ample experience who have recently sold three or more homes. It also prefers agents who can provide personal attention to their listings, giving preference to those who have sold 12 or fewer homes over those with more than 12 sales. Local knowledge is valued, so agents who sell more homes in the selected zip code are preferred. Agents who sell homes with good exposure, neither spending too few nor too many days on the market, are favored. The algorithm uses the universe of agents selling within the entered zip code as a benchmark for the time on the market. Furthermore, agents who sell more homes priced closer to the estimated price entered by the consumer are preferred. Consumers have the ability to compare agents using the ComparisonView spreadsheet, which displays all the metrics for each agent in a format that facilitates comparison, ranked according to our recommendation. Consumers can also investigate an agent's performance objectively by searching for the agent's name. When a consumer enters an agent's name, they can access the seven metrics from ListFriendly's page for that agent, along with their rank compared to the universe of agents generated by ListFriendly for that zip code. Comprehensive means all agents who sold homes they’ve listed recently are shown; no agent is excluded for any reason including financial payment or ListFriendly.com membership. "
Updates
First added24 July 2023