Zillow deploys artificial intelligence to improve the homepage search experience across the Internet

Powered by advanced natural language technology, homebuyers can enter longer, detail-rich requests, as they would on Google, to discover the most accurate inventory matches.

In these times, it’s time to double down on your skills and knowledge on you. Join us August 8-10 at Inman Connect Las Vegas to enjoy the transformation and learn from the best. Get your ticket now at the best price.

Zillow continues its march towards An overall better home buying experience With the emergence of an improved way to find homes to match the preferences of discerning buyers.

Powered by advanced natural language technology, homebuyers can enter longer, detail-rich requests, as they would on Google, to discover the most accurate inventory matches. People can now find homes the same way they describe what they want to friends and family, the company shared in an announcement Jan. 26 to Inman.

That is, the application can be interpreted with longer wording, such as “$700,000 Charlotte home with backyard” or “Four-bedroom open house near me.”

“This new tool is a game-changer in home shopping, as it helps shorten the long and sometimes stressful home-search process by creating an easy, more modern way to search,” Zillow chief design officer Jenny Arden said in the announcement. It provides relevant search results in a simple and uncluttered manner.

It can also benefit agents who more accurately list the features needed for their listing rather than simply listing the number of bedrooms and bathrooms, for example. As is common with online home searches, Zillow will allow users to save their search terms to be alerted of new matches.

Zillow states that it is the first iteration of this type of in-house search technology, however, Localize, a proptech company based in New York City, publishes a similar organic search methodology. The company raised $25 million in 2021.

DOMICILIATION Combines “billions of data points” to provide information on hundreds of building and neighborhood features including schools, future construction, weather conditions, proximity to popular stores, building violations, complaints, pests, natural light, and high ceilings, among other aspects of the property. and their communities.

The company also offers a human AI-based hybrid concierge service called Hunter that acts as a homebuying advisor and sends buyers personalized, curated lists daily that Localize then adjusts based on users’ feedback on the results.

No matter to whom natural language research was first or best, the developments are offering the industry powerful benefits. Buying agents are constantly weighed down with the idea that they need to get new listings in front of customers before competing applications.

In fact, it is a battle that cannot be won, and there is no need to fight it now. The more information buyers have about listings, the easier it is to deliver and satisfy them.

“Zillow’s natural language search feature takes user queries and sifts through millions of listing details to bring relevant results to the surface. At the same time, the feature is to train machine learning models to better respond to search queries that use natural, human-like sentences,” said Zillow.

Machine learning and business automation are components artificial intelligence. was the topic Breed it frequently This week at Inman Connect New York, it’s partly due to a sudden surge of interest in ChatGPT, a largely natural language response mechanism, like the one used in lead capture and tech support. ChatGPT can also be queried to provide typed descriptions, thus, List the content.

So far, Zillow’s Arden seems correct in making the comments that the future of real estate will be powered by a proptech application of artificial intelligence.

“We’re proud to be the first to offer this smarter way to search and excited to see how it learns and evolves to help every Zillow shopper find their perfect home.”

Send an email to Craig Rowe

Leave a Comment