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.
Impact
1.5+ hours
Time saved per employee per week
80%+
Workforce adoption rate
3,400+
AI agents created
~10,000
Self Review agent runs
7%
Performance review participation increase
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.
Tools & Technologies
What Leaders Say
“Glean has transformed how our engineers access institutional knowledge — it's become the connective tissue across our entire tech stack.”
“With Glean, teams can build and deploy agents on their own timeline without waiting for central IT. That speed is a competitive advantage.”
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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.
The company needed an enterprise search and AI platform that could connect across its full technology stack — 30+ data sources containing over 138 million documents — and do so in a way that respected existing access controls and could be adopted broadly without requiring technical expertise from every user. Zillow also wanted to empower individual teams to build AI agents tied to their specific workflows, without creating a bottleneck on a central AI team.
Zillow deployed Glean across the organization, connecting it to 30+ data sources and enabling employees to query a unified knowledge graph spanning 138 million documents. The rollout achieved over 80% adoption across the 7,000-person workforce. Glean's Agent Builder allowed teams to create and deploy custom AI agents — 3,400+ agents were created in total, with 500 built in the first six weeks alone. One standout deployment was the Self Review agent, which guided employees through performance review self-assessments and was run approximately 10,000 times, contributing to a 7% increase in review participation. Zillow also integrated Glean MCP with developer tools including Cursor and Claude Code, extending AI-assisted search into engineering workflows.
The results were measurable at scale. Employees save an average of 1.5+ hours per week, amounting to thousands of hours reclaimed across the organization. Toby Roberts, SVP of Engineering at Zillow, noted that Glean transformed how engineers access institutional knowledge, while Anne Wingate and Anthony Gatto from the enterprise technology team highlighted the platform's flexibility in enabling teams to build and deploy agents without waiting for central IT support. Zillow's deployment illustrates how enterprise search, when paired with agentic AI, can compound productivity gains across an organization at every level.