The battle for the homebuying funnel is moving further upstream.
Realtor.com today launched RealAssist AI, a new artificial intelligence-powered home search experience developed in collaboration with Google that aims to guide consumers from their first affordability questions through neighborhood research, home discovery, and agent connections.
While the real estate portal is positioning the platform as a more intuitive way to find a home, the bigger implication for mortgage professionals may be its role in capturing consumers earlier in the homebuying journey.
Instead of beginning with a lender or loan officer, prospective buyers can use RealAssist AI to discuss income, down payment funds, monthly payment targets, commute preferences, and lifestyle goals before ever seeking pre-approval. The platform is designed to answer affordability questions, surface listings that fit a buyer's budget and priorities, and ultimately connect consumers with local real estate agents.
"Buying a home is one of the biggest financial decisions most people will ever make, and most buyers start the process feeling overwhelmed and underprepared," said Mickey Neuberger, chief consumer and marketing officer at Realtor.com. "RealAssist AI removes the uncertainty and builds confidence at every step, from early research to connecting with a local agent, because the insight behind it is real. Every buyer deserves that."
The launch comes as housing market activity shows signs of improvement. Realtor.com said contract signings reached a four-year high this spring, the strongest level since mortgage rates surged in 2022, while new listings are up 1.4% year over year and 22% above their 2023 trough.
A New Front Door To Homeownership
RealAssist AI replaces traditional search filters with conversational prompts. Buyers can describe their finances, commute requirements, lifestyle preferences, and housing goals in natural language and receive personalized property recommendations.
According to Realtor.com, buyers can ask questions such as how much home they can afford based on income and available cash for a down payment, or request listings that fit within a specific monthly payment budget that includes taxes, insurance, and HOA costs. The system can also compare neighborhoods, explain affordability tradeoffs, and maintain context across multiple sessions.
The platform remembers previous conversations and can adjust recommendations as buyers refine their priorities, allowing users to continue searches across devices without having to start over.
For mortgage professionals, the launch reflects a broader shift occurring across housing and financial services. Increasingly, consumers are turning to AI-powered platforms to answer questions that traditionally served as entry points into conversations with loan officers.
Questions such as "How much house can I afford?" or "What monthly payment fits my budget?" have historically brought consumers into contact with lenders. Platforms like RealAssist AI are attempting to answer those questions earlier in the process.
Google Maps Adds A Lifestyle Layer
One of RealAssist AI's most distinctive features is its integration with Google's mapping technology.
The platform uses Grounding with Google Maps to incorporate real-world location data, commute information, and neighborhood amenities directly into conversations with homebuyers. Consumers can evaluate commute times throughout the day, identify nearby businesses and services, and gain insight into how a neighborhood fits their lifestyle before scheduling a tour.
Realtor.com said the technology is designed to help buyers understand not only a property's features, but also how it fits into their daily lives.
"By integrating Grounding with Google Maps into RealAssist, we've woven geospatial context directly into the conversational flow so users don't just look at listings — they understand exactly how a home fits into the geography of their lives," said Dave Herman, SVP of product and AI innovation at Realtor.com.
The platform also includes visual tools that allow consumers to see what a neighborhood looks like after dark, how a property appears during different seasons, and even how a home's exterior could look with different finishes.
Built To Support Agents
Realtor.com emphasized that RealAssist AI is designed to complement real estate agents rather than replace them.
The company said the platform is intended to help consumers navigate the early stages of research and discovery before connecting with local agents for tours and transactions.
According to a Realtor.com survey, Americans rank real estate agents as their most trusted source of real estate information, while 82% also use AI for real estate insights. Realtor.com argues the two can work together.
"RealAssist AI handles the early, time-consuming work of pre-search and discovery so buyers are informed and ready when they connect with an agent," the company said. "It does not replace the agent, but raises the quality of every client conversation."
Damian Eales, CEO of Realtor.com, said the launch represents the company's latest investment in AI-powered real estate technology.
"Realtor.com is positioned to lead the AI era in real estate — and the data already points that way," Eales said. "We are taking that foundation and building the best AI tools in the industry. That means more informed buyers and sellers, and agents who can have better conversations with every client. RealAssist AI is what that looks like today, and there is much more to come."
What It Means For Mortgage Professionals
The significance of RealAssist AI extends beyond home search.
The platform is another example of the industry's race to own the earliest stages of the consumer journey, where borrowers first begin researching affordability, neighborhoods, and homeownership options.
Historically, consumers gathered answers from multiple sources — lenders for payment estimates, agents for neighborhood insight, and mapping tools for commute analysis. RealAssist AI attempts to combine those functions into a single experience.
For LOs, that could mean future borrowers arrive at the mortgage conversation with more information, stronger expectations, and a clearer understanding of what they want before they ever seek financing.
