Zillow AI

Zillow AI

Zillow AI

This case study highlights the redesign and AI integration of Zillow, a leading real estate platform, to create a more personalized and user-friendly experience. The project involved developing AI-powered features like personalized home recommendations, an interactive virtual tour assistant, and a neighborhood insights chatbot.

Project Type

AI Features Design

Role

UX Designer

Tools

Figma

Logo

Zillow is a leading online real estate marketplace that provides users with tools and data to buy, sell, rent, and manage properties. It offers property listings, home value estimates (Zestimates), mortgage calculators, and neighborhood insights.

"How might we leverage AI to make Zillow more dynamic, user-friendly, and personalized, so users can make informed decisions about buying, renting, or managing properties with ease?"

Sneak Peek into the Solution



Personalized home recommendations

Tailored property suggestions based on user preferences

Virtual home tours

Enhanced with AI-driven Q&A

Neighborhood insights

Real-time community information

Challenges Solutions

Challenges & Solutions

Challenges Solutions

Limited personalization in home recommendations

AI-powered recommendation agent with an interactive questionnaire and dynamic recommendation feed.

AI-powered recommendation agent with an interactive questionnaire and dynamic recommendation feed.

AI-powered recommendation agent with an interactive questionnaire and dynamic recommendation feed.

Lack of interactive tools and real-time assistance

AI-driven Virtual Home Tours which allow users to ask questions during the tour, receive instant property insights.

AI-driven Virtual Home Tours which allow users to ask questions during the tour, receive instant property insights.

Inadequate tools for assessing neighborhood suitability.

AI-powered Neighborhood insights chatbot which provides real-time information on schools, crime rates, commute times.

AI-powered Neighborhood insights chatbot which provides real-time information on schools, crime rates, commute times.

AI-powered Neighborhood insights chatbot which provides real-time information on schools, crime rates, commute times.

Competitive Analysis

Key findings:

Redfin offers dynamic neighborhood insights but lacks personalized recommendations.

Realtor.com excels in AI based property recommendations but lacks interactive virtual tours.

Trulia offers great map-based features but lacks an AI chatbot for user queries.

Opportunity

Integrate these strengths into a unified, AI-driven Zillow experience

Data Gathering

Interviews with users and surveys were utilized to pinpoint significant problem areas.


Interviews with users and surveys were utilized to pinpoint significant problem areas.

Proposed Designs

The floating AI chatbot provides seamless assistance, helping users navigate listings, compare properties, and get answers on demand.

The Zilo AI Chatbot is designed as a floating, collapsible widget positioned in the bottom-right corner for easy access. With a clean conversational layout, clickable links to curated listings, and a smart input box for real-time AI responses, it seamlessly blends into Zillow’s blue and white branding while keeping the interface non-intrusive.

Users can engage with Zilo AI Chatbot to receive personalized home recommendations, explore curated listings and refine their search based on preferences like budget, location and home features.

The combination of immersive virtual tours and Zilo AI Chatbot will create a seamless, intuitive home-buying experience, providing users with instant insights and interactive property exploration.

The Explore Neighborhood tab will help users make informed decisions about their potential homes and it provides detailed insights about the neighborhood. It includes key information on nearby schools, commute times, local amenities, crime rates and market trends.

AI Prompt Design & Iterations

The AI chatbot prompts and designs were iteratively tested with users, gathering valuable feedback to improve the overall experience. Initial designs relied primarily on text-based responses, but through testing, several key areas for enhancement emerged.

Key Findings

Inclusion of Images

Underlined Links

More Detailed Information

Like & Share Options

Opportunity

The feedback presented an opportunity to enhance the AI chatbot by integrating images, underlined links, detailed insights, and interactive features, creating a more engaging and intuitive home-buying experience.

Iteration 1

The chatbot primarily displays text-based responses with basic formatting. No images for property insights, making the experience less engaging. The response to queries is linear, providing direct answers but lacking interactive elements. Users must ask follow-up questions manually for additional details.

Iteration 1

The chatbot primarily displays text-based responses with basic formatting. No images for property insights, making the experience less engaging. The response to queries is linear, providing direct answers but lacking interactive elements. Users must ask follow-up questions manually for additional details.

Iteration 2

A new FAQ section allows users to quickly access Home Overview, Key Features, and more. The cards are visually distinct and clickable, making navigation faster. Responses now include property images, such as the Living Room & Kitchen, making virtual tours more interactive. The chatbot now highlights keywords and provides clickable links for additional insights.

Iteration 2

A new FAQ section allows users to quickly access Home Overview, Key Features, and more. The cards are visually distinct and clickable, making navigation faster. Responses now include property images, such as the Living Room & Kitchen, making virtual tours more interactive. The chatbot now highlights keywords and provides clickable links for additional insights.

Learnings

Working on this project reinforced the importance of AI-driven automation in enhancing user experience. The integration of an AI-powered chatbot made home searches more interactive and efficient, reducing friction in the decision-making process.

I realized how personalization plays a crucial role in user engagement—tailoring recommendations and insights based on user preferences significantly improved the relevance of search results.

Additionally, continuous iteration and user feedback were essential for refining the chatbot’s responses and UI design. Every improvement brought us closer to a seamless, intuitive, and user-friendly experience, making Zillow AI a smarter real estate assistant.

This project highlighted how technology, design, and AI can work together to simplify complex processes and improve user satisfaction.

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Let's Collaborate

Let's connect!


Vaish J

Let's Collaborate

Let's connect!


Vaish J

Let's Collaborate

Let's connect!


Vaish J