Compare
An AI-powered property comparison feature designed to help first-time real estate investors make confident, data-driven decisions, without leaving the platform they already trust.
First-time investors are flying blind on the most important purchase of their lives.
Zillow is the most-visited real estate platform in the U.S. — but its interface is built for browsing, not deciding. For small-scale investors, the gap between finding a property and understanding if it's a sound investment is enormous, expensive, and entirely unaddressed.
Users can save listings, but there is no native way to place them side-by-side with comparable investment metrics : price per sqft, rental yield, market appreciation, or days on market. Every comparison happens off-platform, in spreadsheets or memory.
Zillow hosts rich data — Zestimates, price history, neighborhood trends. Yet this data lives in silos, one listing at a time. A first-time investor must manually cross-reference multiple listings across separate pages to form any comparative picture.
Consumer listings are optimized for owner-occupants. Investors need different signals : cap rate benchmarks, rent-to-price ratios, vacancy rates, comp analysis. None of this framing exists on Zillow today, pushing investors to fragmented third-party tools.
Zillow has the data, the traffic, and the trust. What it lacks is a decision-making layer: a way to transform raw listing data into actionable investment intelligence for the millions of first-time landlords entering the market each year.
A massive, overlooked user segment hiding in plain sight.
The dominant image of a "landlord" is a large corporation. The reality is the opposite — the U.S. rental market is overwhelmingly driven by individuals who own just a handful of properties and are dramatically underserved by existing tools.
According to Pew Research Center data, individual investors account for the vast majority of U.S. landlords. Of the roughly 17.7 million landlords nationwide, 14.1 million own just 1–4 units , making small-scale individual investors the defining profile of American rental property ownership.
With over 44 million renters in the U.S., demand for rental housing is not slowing. As homeownership costs rise, more individuals are entering the rental investment market for the first time , without institutional resources, expertise, or tools to evaluate properties with confidence.
Realtor.com and Trulia — Zillow's closest competitors — offer no side-by-side comparison feature, no investor-focused analytics, and no AI-driven comp analysis. This is an uncontested product opportunity for Zillow to deepen its value for a high-intent segment.
Two methods.
One clear signal.
To validate the problem and understand how first-time investors make decisions, I employed both qualitative and quantitative research , designed to surface behavioral patterns, emotional friction points, and unmet needs across the property search process.
Semi-structured interviews with individuals who had recently searched for investment properties , capturing their emotional journey, decision frameworks, and the frustrations encountered along the way.
A structured survey distributed to prospective and current small-scale investors to quantify the frequency and severity of pain points — and to validate assumptions surfaced during the qualitative phase.
The majority of participants reported spending more than two hours in a single search session — yet still leaving without confidence in any particular listing.
Every participant reported switching between Zillow, Realtor.com, Trulia, and personal spreadsheets — a manual, error-prone process with no single source of truth.
Three interviewees stated they ultimately invested in a property without full conviction — driven by search fatigue rather than genuine confidence in the data.
Not a single platform used by participants offered a structured way to compare investment-relevant metrics between two or more properties simultaneously.
In their own words.
Three recurring frustration clusters emerged across all five interviews: information fragmentation, decision paralysis, and the absence of any investor-relevant framing on existing platforms.
I ended up with like four browser tabs open per property, plus a spreadsheet. I was spending more time managing my research than actually doing it.
1 unit owned
I ended up investing in a property, but I'm not sure if it was the best option in my area. There was just no good way to check.
First-time investor, Recent purchase
Zillow tells me how many beds and baths there are. I need to know if it'll cash flow. That information just doesn't exist there in any useful form.
Active property searcher, pre-purchase
How might we empower first-time real estate investors to compare, analyze, and evaluate properties with confidence , entirely within Zillow?
The
Solution
Zillow Compare is a new AI-powered layer built into Zillow's existing platform , giving first-time investors the comparison intelligence they need to make confident decisions without leaving the site.
Four capabilities. One seamless decision-making experience.
Zillow Compare adds a structured comparison layer on top of Zillow's existing infrastructure — no new data required. It surfaces, synthesizes, and scores what's already there in a format optimized for investment decision-making.
Users select any two or more saved listings and view them in a structured comparison layout : price per sqft, Zestimate, days on market, rental estimate, and neighborhood score placed side-by-side for direct evaluation.
For each selected listing, the AI layer surfaces 3–5 comparable properties based on location, size, price range, and rental yield signals , giving users a benchmark set without manual research.
Each listing in compare view displays investor-relevant signals: estimated rent-to-price ratio, price appreciation trend, average cap days, and a composite investment score , framing data in terms investors actually act on.
A persistent favorites layer lets users build a shortlist of properties across sessions. The compare feature pulls directly from this list, creating a continuous, low-friction workflow from discovery to decision.
From first search to confident decision.
The flow maps a first-time investor's complete journey through Zillow Compare — from logging in and searching, through shortlisting and comparison, to either contacting an agent or returning to refine. Every path is designed to keep the user moving toward a decision.
The existing Zillow search experience is preserved. No friction is added at the top of the funnel ; the compare feature activates naturally as users favorite listings, fitting into behavior they already exhibit.
This is the core new surface. The compare page shows the user's chosen listings alongside AI-suggested similars , giving immediate context without manual comp research.
Users can move between compare, individual listings, Zillow Similars, and back to search — no dead ends. The flow supports both decisive users and those who need more exploration before committing.
The primary success state is agent contact — a high-intent action that signals genuine investment interest. The compare page is specifically designed to build enough confidence to reach this moment.
An uncontested space in a crowded market.
A structured audit of Zillow's two closest competitors reveals a consistent gap: neither Realtor.com nor Trulia offers investor-grade comparison tools, AI-driven comps, or a dedicated decision-making feature for small-scale landlords.
| Platform | Search & Listings | Saved Favorites | Side-by-Side Compare | AI Comp Analysis | Investor Metrics | Cost | Overall UX |
|---|---|---|---|---|---|---|---|
| Zillow Compare Proposed Feature | ● | ● | ● | ● | ● | Free | Strong |
| Zillow Current State | ● | ● | ○ | ○ | ○ | Free | Moderate |
| Realtor.com Competitor | ● | ● | ○ | ○ | ○ | Free | Moderate |
| Trulia Competitor | ● | ● | ○ | ○ | ○ | Free | Moderate |
The competitive audit reveals a clear pattern: all three platforms are functionally equivalent at the search and browsing layer, but none have invested in a decision-making layer for investors. Zillow Compare addresses this gap directly , using Zillow's existing data advantage to offer something competitors would struggle to replicate.
With the problem defined and the solution scoped, the next step was translating the feature definition and user flow into tangible screens : wireframes and high-fidelity mockups for each key surface in the Zillow Compare experience.
From concept
to screen.
Four key screens — Homepage, Favorites, Compare, and Zillow Similars — each shown first as a low-fidelity wireframe to establish structure and hierarchy, then as a high-fidelity mockup faithful to Zillow's design language.
The entry point for users returning to Zillow. The Compare feature is introduced here as a prominent module — surfacing the user's saved favorites and a direct prompt to begin comparing, without disrupting the existing homepage structure.
The shortlist view where users manage their saved listings. A persistent "Compare Selected" action allows users to choose any two or more properties and jump directly into the comparison view — making this the primary on-ramp to the core feature.
The core feature screen. Selected listings appear side-by-side with a structured metric breakdown — price per sqft, Zestimate, days on market, estimated rent, and an AI-generated investment score. The most critical surface in the entire feature.
Woodbury, MN 55105
Woodbury, MN 55105
Woodbury, MN 55105
An AI-generated comp set surfaced for each property in the compare view. When a user wants to validate a listing against the broader market, they can expand this view to see 4–6 comparable properties — automatically ranked by investment score.
The wireframe-to-mockup progression demonstrates how the structural decisions made in low-fidelity , column layout, metric ordering, score prominence, translate directly into a legible, Zillow-native experience at high fidelity.
Looking back.
Looking forward.
Zillow Compare began as a response to a frustration I observed in the market and became an exercise in translating a clear problem into a disciplined, feasible design solution. Here's what the process revealed.
The most surprising finding wasn't that Zillow lacked data — it's that the data was already there. The problem was entirely one of presentation and synthesis. First-time investors weren't failing because they lacked information; they were failing because no interface was organizing that information in a way that supported a decision. That reframe : from an information problem to a design problem. That reframe shaped every choice that followed.
With a sample of five participants across both research methods, the findings are directionally strong but not statistically conclusive. Given more time, I'd expand the research to 15–20 participants and introduce a usability testing phase specifically for the Compare screen , the most cognitively demanding surface in the flow. Understanding how users interpret the investment score and whether the metric ordering matches their mental model would meaningfully sharpen the design.
With 14.1 million individual landlords in the U.S. and no competitor offering investor-grade comparison tools, Zillow Compare addresses an uncontested segment within a market Zillow already dominates at the awareness layer. The feature doesn't require new data infrastructure — only a new presentation layer on top of what exists. That makes it unusually low-cost to ship relative to the retention, engagement, and differentiation value it would generate for the platform.
Good design doesn't always mean building something new. Sometimes it means reorganizing what already exists in a way that makes it useful.
Product Design