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EliseAI’s AI Assist boosts renter applications by 43% on Zillow Rentals

· 4 min read · Verified by 2 sources ·
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Key Takeaways

  • Property operators get proof that conversational AI drives real leasing results.
  • EliseAI’s embedded AI agent lifted applications 43%, tour bookings 19%, and signed leases 24%—solving the problem of unanswered leasing inquiries.

Mentioned

EliseAI company Zillow Group Inc. company ZG Zillow Rentals product AI Assist product Minna Song person Michael Sherman person

Key Intelligence

Key Facts

  1. 1Renters who used AI Assist were 43% more likely to apply for an apartment than those who did not.
  2. 2AI Assist users were 19% more likely to book a tour and 24% more likely to sign a lease.
  3. 328% of leasing office calls go unanswered and over half of inquiries arrive outside business hours, creating a gap that AI Assist fills.
  4. 4The data covers the period from October 2025 through April 2026 across the companies' shared portfolio of multifamily communities.
  5. 5AI Assist is available at no additional cost to Zillow multifamily partners with 450 or more units in their portfolio.
Application rate lift from AI Assist
43% +43% vs. non-AI users

Renters who engaged with AI Assist during October 2025 – April 2026

Who's Affected

Multifamily Property Managers
industryPositive
Renters
demographicPositive
EliseAI
companyPositive
Zillow Rentals
productPositive

Leasing teams are stretched thin. 28% of calls to leasing offices go unanswered, and over half of inquiries arrive outside business hours. AI Assist responds to every one of them.

Minna Song Co-founder and CEO, EliseAI

Announcing the 43% lift data

Analysis

For multifamily operators, the days of losing leads to unanswered calls are now measurable—and fixable. The EliseAI-Zillow data shows that AI isn't just a novelty; it's a direct pipeline accelerator that can close the gap between online interest and signed leases at scale.

EliseAI and Zillow Rentals released compelling data on June 11, 2026, showing that renters who engage with the AI Assist platform embedded in Zillow’s listings are 43% more likely to apply for an apartment than those who do not. The study, covering October 2025 through April 2026 across the companies' shared portfolio of multifamily communities, represents the first large-scale validation of an integrated AI leasing agent. Beyond application rates, the lift extends across the entire renter journey: tour bookings increased by 19% and lease signings by 24% for those interacting with the AI. This marks a pivotal moment in the digital transformation of real estate leasing, proving that conversational AI can directly influence renter behavior and property performance.

EliseAI and Zillow Rentals released compelling data on June 11, 2026, showing that renters who engage with the AI Assist platform embedded in Zillow’s listings are 43% more likely to apply for an apartment than those who do not.

The underlying problem is well-documented. As EliseAI co-founder and CEO Minna Song noted, 28% of calls to leasing offices go unanswered, and over half of all inquiries arrive outside standard business hours. Traditional leasing teams are stretched thin, unable to engage every lead effectively. The integration of AI Assist—available at no additional cost to Zillow multifamily partners with portfolios of 450 units or more—addresses this gap by providing instant, 24/7 responses to renter queries. The AI handles questions, qualifies leads, schedules tours, and nurtures prospects through the funnel, ensuring that no inquiry is lost. Michael Sherman, SVP of Zillow Rentals, emphasized the impact of immediacy, stating that "this data shows that immediacy makes a real difference in their ability to move forward."

For the real estate industry, the implications are significant. Multifamily operators have long sought to optimize lease conversion while reducing the burden on staff. The 43% surge in applications from AI-engaged renters suggests that AI Assist not only captures demand that would otherwise dissipate but also actively accelerates renter decision-making. The 24% lift in signed leases closes the loop, indicating the tool’s influence extends to the most critical metric. Because the AI is embedded directly in Zillow’s rental marketplace, it operates at the point of highest intent, serving as a seamless bridge between discovery and commitment. This can drastically shorten vacancy periods and improve net effective rent, creating a tangible ROI for property owners.

What to Watch

EliseAI stands as the clear beneficiary in terms of market validation. By proving its platform can deliver a 43% boost in a real-world, multi-community deployment, the company cements its position as a leader in AI-driven leasing technology. For a startup, having data of this quality co-branded with a market giant like Zillow is a powerful signal to existing and potential customers. Zillow Rentals, in turn, strengthens its value proposition to multifamily advertisers, offering a unique, data-backed advantage that competitors like Apartments.com or CoStar cannot match without similar AI integrations. The strategic moat deepens as the platform becomes the go-to for AI-enabled leasing.

Looking forward, the success of this integration will likely accelerate the adoption of AI leasing agents across the real estate ecosystem. Expect other marketplaces and property management software providers to pursue similar partnerships or build in-house capabilities. The data also strengthens the business case for AI companies targeting real estate, potentially unlocking additional venture funding and product expansion. As the AI learns from more interactions, performance may further improve, creating a compounding effect that widens the gap for late adopters. The message is clear: in a market defined by speed and responsiveness, AI is no longer an experiment—it is a proven lever for measurable leasing outcomes.

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