Case Study: Zillow boosts engineering speed and AI adoption with Glean

A Glean Case Study

Preview of the Zillow Case Study

Zillow saves 1.5+ hours per employee weekly with Glean

Zillow, the leading residential real estate app in the U.S., faced significant information discoverability challenges after its permanent shift to remote work. With data scattered across numerous applications and the loss of informal office connections, employees struggled to find the information they needed. They required a unified platform to cut across data silos, which led them to choose the Glean search and AI platform.

By implementing Glean, Zillow connected over 30 data sources and 138 million documents to serve as a single source of truth. The solution enabled the creation of over 3,400 specialized AI agents to automate workflows, which saved employees over 1.5 hours of search time per week and achieved an 80% adoption rate across its 7,000 employees. Glean accelerated engineering processes and played a critical role in uniting Zillow's distributed workforce, allowing the company to build an AI-forward culture focused on delivering exceptional customer experiences.


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