Zillow has embedded its home-buying assistance features directly into Google’s NotebookLM interface, allowing users to ask natural-language questions about property searches, market trends and pricing without leaving the NotebookLM workspace. Users can now interact with Zillow’s tools through prompts like “Find three-bedroom homes under $500,000 in Austin, Texas,” receiving immediate responses backed by live data.

The integration taps into Zillow’s database of over 150 million U.S. property listings, including single-family homes, condos and townhouses. It also delivers Zillow’s AI-driven Zestimate algorithm, providing real-time fair-market value estimates and historical price trends for any queried address.

By surfacing listings and valuation insights within NotebookLM, Zillow aims to capture prospective buyers earlier in their research journey and channel them toward its core website and agent network. The seamless experience could increase referral traffic and conversion rates as users explore detailed listings and request tours.

This partnership positions Zillow ahead of other real-estate platforms seeking API integrations with generative AI tools. It underscores a trend of major tech firms embedding specialized vertical data—like real-estate metrics—into general-purpose AI assistants to enhance user retention and create new monetization pathways.