Mixpeek Logo
    Intermediate
    Real Estate
    10 min read

    Visual Property Search for Real Estate Platforms

    For real estate platforms with 100K+ listings. Enable buyers to search by photo or description. 40% higher engagement, 25% faster time-to-lead.

    Who It's For

    Real estate portals, MLS providers, and property management platforms seeking to differentiate with superior property discovery and matching capabilities

    Problem Solved

    Text-based property search fails to capture buyer preferences like "modern kitchen with island" or "backyard with mature trees". Buyers scroll through hundreds of irrelevant listings

    Why Mixpeek

    40% higher search engagement, 25% faster time-to-lead, and visual similarity matching that captures buyer preferences text search cannot express

    Overview

    Home buyers often struggle to articulate exactly what they want. This use case shows how Mixpeek enables visual property search that understands photos and descriptions like "mid-century modern with open floor plan" to surface the perfect matches.

    Challenges This Solves

    Text-Based Limitations

    Buyers search by bedrooms and price but not visual preferences

    Impact: High bounce rates, buyers miss listings that match their style

    Inconsistent Descriptions

    Agent descriptions vary wildly in quality and accuracy

    Impact: Search misses listings with poor descriptions but great photos

    Feature Discovery

    Amenities visible in photos not captured in structured data

    Impact: Buyers cannot search for "pool", "view", or "hardwood floors" reliably

    Personalization Gap

    No way to learn buyer preferences from browsing behavior

    Impact: Generic recommendations, low conversion rates

    Implementation Steps

    Mixpeek analyzes every property photo to understand features, style, and amenities, enabling buyers to search using images of their dream home or natural language descriptions

    1

    Process Property Photos

    Analyze all listing photos for searchable features

    import { Mixpeek } from 'mixpeek';
    const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });
    // Process property listing photos
    await client.buckets.connect({
    collection_id: 'property-listings',
    bucket_uri: 's3://listings/photos/',
    extractors: [
    'image-embedding', // Visual similarity
    'object-detection', // Rooms, features, amenities
    'scene-classification', // Interior style, condition
    'image-captioning' // Natural language descriptions
    ],
    settings: {
    property_features: [
    'kitchen_style', 'bathroom_type', 'flooring',
    'view', 'pool', 'fireplace', 'garage', 'backyard',
    'architectural_style', 'condition', 'natural_light'
    ],
    generate_descriptions: true
    }
    });
    2

    Enable Visual Search

    Allow buyers to search using reference images

    // Visual similarity search
    async function searchByImage(imageUrl: string, filters?: PropertyFilters) {
    const results = await client.retrieve({
    collection_id: 'property-listings',
    query: {
    type: 'image',
    url: imageUrl // Buyer uploads photo of dream kitchen
    },
    filters: {
    price: { $lte: filters?.maxPrice },
    bedrooms: { $gte: filters?.minBeds },
    location: { $within: filters?.geoRadius }
    },
    return_fields: [
    'listing_id', 'photos', 'price', 'address',
    'detected_features', 'similarity_score'
    ],
    limit: 50
    });
    return results.map(r => ({
    ...r,
    matching_features: r.detected_features.filter(
    f => f.confidence > 0.8
    )
    }));
    }
    3

    Natural Language Property Search

    Enable descriptive text search

    // Search by natural language description
    async function searchByDescription(query: string, filters?: PropertyFilters) {
    // e.g., "modern kitchen with white cabinets and island"
    // e.g., "craftsman home with original details"
    const results = await client.retrieve({
    collection_id: 'property-listings',
    query: {
    type: 'text',
    text: query
    },
    filters: {
    price: { $lte: filters?.maxPrice },
    status: 'active'
    },
    return_fields: [
    'listing_id', 'photos', 'price', 'address',
    'detected_features', 'ai_description'
    ],
    limit: 50
    });
    return results;
    }
    4

    Personalized Recommendations

    Learn from buyer behavior to improve matches

    // Track buyer preferences from interactions
    async function trackBuyerPreference(buyerId: string, listingId: string, action: 'save' | 'view' | 'contact') {
    const listing = await client.collections.get(listingId);
    await client.users.updatePreferences({
    user_id: buyerId,
    positive_signals: action === 'save' ? listing.detected_features : [],
    view_history: [listingId],
    weight: action === 'save' ? 1.0 : 0.3
    });
    }
    // Get personalized recommendations
    async function getRecommendations(buyerId: string) {
    const prefs = await client.users.getPreferences(buyerId);
    return client.retrieve({
    collection_id: 'property-listings',
    query: {
    type: 'preferences',
    user_id: buyerId
    },
    filters: {
    status: 'active',
    listing_id: { $nin: prefs.viewed_listings }
    },
    limit: 20
    });
    }

    Expected Outcomes

    40% increase in search sessions per user

    Search Engagement

    25% faster from first search to contact agent

    Time to Lead

    35% more listings viewed per session

    Listing Views

    50% increase in saved/favorited listings

    Save Rate

    30% improvement in lead quality scores

    Agent Satisfaction

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with Visual Property Search for Real Estate Platforms in your organization.