02 Reading Comp Result
The comp results table is the core output of every comp run. Each row represents a comparable property with several data points that help you assess how it relates to your subject property.
Table Columns
| Column | What It Shows |
|---|---|
| Address | The comparable property location. Click to view the property details on the map or in a new tab. |
| Sale Price | The most recent sale price for the comp property. This is the actual recorded sale, not a list price. |
| Distance | How far the comp is from your subject property. Measured in miles. Closer is better for comparability. |
| Beds / Baths / Sq Ft | The comp property's size and layout. Compare these directly to your subject property's numbers. |
| Sale Date | When the comp property last sold. Recent sales within 3-6 months are most relevant. |
| Differences | Key differences the AI flagged between the comp and your subject property. Examples: "2 more beds," "500 sq ft larger," "pool," "corner lot." |
| Comp Score | The AI's similarity score (0-100). Higher means more comparable. |
How to Read the Table
Start with the subject property baseline. Before looking at comps, note your subject property's key numbers: beds, baths, square footage, and desired price or ARV.
Scan the scores. Look at the comp score column first. A table with 6-10 comps all scoring 70+ is a strong set. A wide spread from 30 to 80 suggests a mixed neighborhood or unusual property.
Check distance. Confirm comps are in the same neighborhood or submarket. A comp 5 miles away in a different school district may not be relevant even if the score is high.
Review flagged differences. The AI calls out meaningful differences between each comp and your subject. Use these to decide whether to adjust the comp's value up or down. A comp that is 200 sq ft larger may need a downward value adjustment. A comp with an outdated kitchen may indicate your property with updated finishes is worth more.
Consider the range. Look at the price range across all comps, not just the high and low extremes. The middle cluster is usually your most reliable indicator.
Working with Low Scores
A low-scoring comp (below 40) may still be useful if:
- There are very few recent sales in your area.
- The low score is driven by a single factor (e.g., different property type) but the location is ideal.
- You need to show a wider market trend rather than direct comparables.
Flag these comps as secondary and focus on the 60+ group for primary analysis.
Saving and Exporting
Use the export buttons to save the table as PDF or CSV. When you save comps to a property, the full table is attached to that property's profile for future reference.
Next steps: - How AI Comps Work - Multi-Agent Exit Strategies - How to Run Comps - Demographics and Market Data
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