Three-Layer AI-Powered Price Estimation
Property Price Prediction
Our property price prediction engine uses a three-layer approach that combines statistical comparable sales analysis, feature-based value adjustments, and Claude AI qualitative assessment to produce blended price estimates with confidence scoring for inner Brisbane properties.
Key Capabilities
What's Included
Comparable Sales Analysis
Identifies similar recently sold properties within a 12-month lookback period. Each comparable is weighted by similarity across bedrooms, bathrooms, land size, property type, and distance. Recency weighting uses exponential decay with a 180-day half-life to prioritise recent market evidence.
Feature Engineering
Calculates value adjustments based on property-specific features: pool (+3%), renovation quality (+5%), views (+4%), flood zone (-8%), heritage overlay impact, and more. Also incorporates suburb growth trends, RBA cash rate, auction clearance rates, seasonal factors, and supply/demand ratios.
Claude AI Assessment
Anthropic's Claude AI analyses the property description, comparable data, feature adjustments, and suburb context to provide a predicted price with detailed reasoning, market sentiment assessment, value drivers, and risk factors. This adds qualitative insight that pure statistical models cannot capture.
Blended Confidence Scoring
The three layers are combined using calibrated weights (50% comparable, 20% features, 30% AI) to produce a final estimate. Confidence is calibrated and capped at 85% for houses and 80% for units. Price ranges widen as confidence decreases, providing honest uncertainty quantification.
Process
How It Works
Property Identification
Enter a Brisbane property address or select from current listings. The system retrieves property details including bedrooms, bathrooms, land size, and listing description from public sources.
Comparable Matching
The engine searches for similar properties sold within 12 months and 2km radius, scoring each by similarity and recency. Minimum 3 comparables required for a prediction.
Feature Adjustment
Property features are extracted from the listing description and public records. Each feature applies a calibrated percentage adjustment to the comparable-based estimate.
AI Analysis
Claude AI reviews all available data and produces a qualitative assessment with predicted price, confidence level, and detailed reasoning explaining the estimate.
Blended Output
All three layers are combined into a single prediction with midpoint estimate, confidence percentage, and price range. Historical accuracy metrics are provided for context.
Data Sources
All data is sourced from publicly available datasets and official APIs. No proprietary or private data is used.
- Domain.com.au API — Recent sales and listing data
- PropTrack API — Historical transaction records
- ABS Census — Demographics, income, population
- Brisbane City Council — Planning overlays and zoning
- Reserve Bank of Australia — Cash rate and economic indicators
- Planning Alerts — Development application activity
Key Benefits
Transparent, data-driven analysis to support — not replace — professional property advice.
- Transparent three-layer methodology with visible reasoning
- Confidence scoring that honestly reflects prediction uncertainty
- All data sources listed — no hidden or proprietary data
- Accuracy tracked against actual sales and published publicly
- Works across 33 inner Brisbane suburbs
- Free to use — no account or personal data required
Important Disclaimer
Property price predictions are estimates based on publicly available data and AI analysis. They are not formal valuations, financial advice, or guarantees of market value. Actual sale prices depend on market conditions, buyer motivation, property condition, and factors not captured in public data. Always obtain a professional valuation and consult qualified financial advisors before making property decisions.
Explore Other Features
Discover the full range of prediction and analysis tools available.
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Brisbane City Plan 2014 Overlay & Compliance Checking
Market Intelligence
Suburb-Level Market Trends & Economic Indicators
Build ROI & Scenario Analysis
Compare Renovation Scenarios & Calculate Returns
Property Intelligence & Scoring
AI-Powered Property Assessment & Deep Research
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Start using PropertyLens to make more informed property decisions with transparent, data-driven analysis.