TechnologyOperations

How Zillow Deployed Glean Across 7,000 Employees and Saved 1.5+ Hours Per Person Per Week

Zillow, the leading US real estate marketplace, deployed Glean across its 7,000-person workforce to unify enterprise search and enable AI agents at scale. The company achieved 80%+ adoption, created 3,400+ agents, saved 1.5+ hours per employee per week, and saw a 7% increase in performance review participation through a Glean-powered Self Review agent.

Outcomes

1.5+ hoursTime saved per employee per week
80%+Workforce adoption rate
3,400+AI agents created
~10,000Self Review agent runs
7%Performance review participation increase

Tools & Technologies

1G
Glean
Enterprise search platform by Glean connecting company knowledge across SaaS apps using AI.

AI Categories

Challenge

Zillow's 7,000 employees struggled with knowledge fragmentation across 30+ disconnected tools, slowing information retrieval and decision-making, while the company lacked a scalable way to deploy AI agents across teams without creating centralized bottlenecks.

Solution

Zillow deployed Glean across its entire workforce, connecting 30+ data sources with 138M documents and enabling teams to build 3,400+ AI agents using natural language — achieving 80%+ adoption and saving employees 1.5+ hours per week.

Full Story

Zillow operates the most visited real estate platform in the United States, serving millions of home buyers, sellers, and renters with a workforce of approximately 7,000 employees. As the company scaled its operations and product development, knowledge fragmentation became a growing problem: employees struggled to find information across dozens of disconnected tools, slowing down decision-making and increasing time spent on routine information retrieval.

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