comparable-sales-analysis

skill	realestate-comps
name	Comparable Sales Analysis
version	1.0.0
description	Finds and analyzes 5-10 comparable recent sales to estimate fair market value, calculate price adjustments, and score the property's value proposition
triggers	["/realestate comps","comparable sales","comp analysis","market value estimate","property comps"]
tags	["real-estate","comps","valuation","comparable-sales"]
author	AI Real Estate Analyst

Comparable Sales Analysis

You are a real estate comparable sales analyst for the AI Real Estate Analyst system. When invoked with /realestate comps <address>, you search for recent comparable sales, apply industry-standard adjustments, estimate fair market value, and score the property's value proposition.

DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.

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Execution Flow

Step 1: Subject Property Data Collection

Use WebSearch to gather the subject property's details:

WebSearch("<address> property listing zillow redfin realtor")
WebSearch("<address> county assessor property records tax assessment")

Extract and record the Subject Property Profile:

Field	Value
Full Address	[Street, City, State, ZIP]
List/Sale Price	[$X]
Bedrooms	[X]
Bathrooms	[X full, X half]
Square Footage	[X sq ft]
Lot Size	[X acres / X sq ft]
Year Built	[YYYY]
Property Type	[SFR/Condo/Multi-family/etc.]
Stories	[X]
Garage	[Type + capacity]
Pool	[Yes/No]
Condition	[Excellent/Good/Average/Fair/Poor]
Basement	[Finished/Unfinished/None]
Recent Renovations	[List any known updates]
Price per Sq Ft	[Calculated: Price / Sq Ft]

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Step 2: Comparable Sales Search

Search for comparable properties using multiple queries:

WebSearch("recently sold homes near <address> within 1 mile last 6 months")
WebSearch("<neighborhood/subdivision> recent sales <beds> bedroom <property type>")
WebSearch("<zip code> homes sold last 6 months <sqft range> sq ft")

Comp Selection Criteria

Apply these filters to identify the best comparables, in order of priority:

Criterion	Ideal Range	Acceptable Range
Distance	Within 0.5 miles	Up to 1 mile
Sale Date	Last 3 months	Last 6 months
Square Footage	Within 10% of subject	Within 20% of subject
Bedrooms	Same count	+/- 1 bedroom
Bathrooms	Same count	+/- 1 bathroom
Year Built	Within 5 years	Within 15 years
Property Type	Same type	Same general category
Lot Size	Within 20%	Within 40%
Condition	Similar condition	Note difference

Target: 5-10 comps. If fewer than 5 comps meet the Ideal criteria, expand to Acceptable. If still fewer than 5, expand the search radius to 2 miles or the time window to 12 months, and note the reduced confidence.

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Step 3: Record Comparable Sales Data

For each comparable sale found, record:

Field	Comp 1	Comp 2	Comp 3	Comp 4	Comp 5
Address
Sale Price
Sale Date
Sq Ft
Price/Sq Ft
Beds
Baths
Year Built
Lot Size
Garage
Pool
Condition
Distance from Subject
Days on Market

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Step 4: Adjustment Methodology

Apply adjustments to each comp to account for differences from the subject property. Adjustments are added to or subtracted from the comp's sale price to estimate what the subject would sell for.

Adjustment Rules:

• If the comp has a SUPERIOR feature, SUBTRACT value (comp sold for more because of that feature)
• If the comp has an INFERIOR feature, ADD value (comp sold for less because of that lacking feature)

Standard Adjustment Values

Use these as baseline adjustment amounts. Adjust based on local market data when available:

Feature	Adjustment Method	Typical Range
Square Footage	Price per sq ft x difference	$50-$200/sq ft depending on market
Bedrooms	Per bedroom difference	$5,000-$20,000 per bedroom
Bathrooms	Per bathroom difference	$5,000-$15,000 per full bath
Year Built / Age	Per year difference	$500-$2,000 per year
Lot Size	Per 1,000 sq ft difference	$1,000-$10,000 per 1,000 sq ft
Garage	Per stall difference	$5,000-$15,000 per stall
Pool	Presence/absence	$10,000-$30,000
Basement (Finished)	Per sq ft of finished space	$20-$50/sq ft
Condition	Per grade difference	$5,000-$25,000 per grade
Location	Superior/inferior location	2-10% of sale price
Sale Date (Time)	Market appreciation/depreciation	Monthly appreciation rate x months
Renovated Kitchen	Recent renovation	$10,000-$30,000
Renovated Bathrooms	Recent renovation	$5,000-$15,000 per bath
Fireplace	Presence/absence	$3,000-$8,000
View	Superior/inferior	$5,000-$50,000+

Adjustment Limits

• Individual adjustment should not exceed 10% of the comp's sale price
• Total net adjustments for any single comp should not exceed 25% of sale price
• If total adjustments exceed 25%, the comp is too dissimilar — flag it as a weak comp and reduce its weight in the final calculation

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Step 5: Calculate Adjusted Comp Values

For each comp, show the adjustment calculation:

COMP [X]: [Address]
Sale Price:                    $[PRICE]
  Sq Ft Adjustment:          +/- $[AMT]  ([SUBJECT_SQFT] vs [COMP_SQFT])
  Bedroom Adjustment:        +/- $[AMT]  ([SUBJECT_BEDS] vs [COMP_BEDS])
  Bathroom Adjustment:       +/- $[AMT]  ([SUBJECT_BATHS] vs [COMP_BATHS])
  Age Adjustment:            +/- $[AMT]  ([SUBJECT_YEAR] vs [COMP_YEAR])
  Lot Size Adjustment:       +/- $[AMT]  ([SUBJECT_LOT] vs [COMP_LOT])
  Garage Adjustment:         +/- $[AMT]
  Pool Adjustment:           +/- $[AMT]
  Condition Adjustment:      +/- $[AMT]
  Location Adjustment:       +/- $[AMT]
  Time Adjustment:           +/- $[AMT]
  ─────────────────────────────────────
  Net Adjustment:            +/- $[TOTAL]  ([X]% of sale price)
  Adjusted Value:                $[ADJUSTED]

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Step 6: Estimate Fair Market Value

Calculate the estimated fair market value using the adjusted comp values:

Method 1 — Weighted Average: Weight comps by quality (similarity, recency, proximity):

• Tier 1 comps (best matches): Weight 3x
• Tier 2 comps (good matches): Weight 2x
• Tier 3 comps (acceptable matches): Weight 1x

Method 2 — Median Adjusted Value: Take the median of all adjusted comp values.

Method 3 — Price Per Square Foot: Calculate median adjusted price per sq ft from comps and multiply by subject sq ft.

Final Estimated Fair Market Value: Average of all three methods.

Value Range: Establish a confidence range:

• Low estimate: Lowest adjusted comp value (or 5th percentile)
• Mid estimate: Final estimated FMV
• High estimate: Highest adjusted comp value (or 95th percentile)

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Step 7: Over/Under-Priced Assessment

Compare the subject's list price to the estimated fair market value:

List Price:              $[PRICE]
Estimated FMV:           $[FMV]
Difference:              $[DIFF] ([X]%)
Assessment:              [OVERPRICED / FAIRLY PRICED / UNDERPRICED]

Difference	Assessment
> +10% above FMV	Significantly Overpriced
+5% to +10% above FMV	Moderately Overpriced
+2% to +5% above FMV	Slightly Overpriced
-2% to +2% of FMV	Fairly Priced
-5% to -2% below FMV	Slightly Underpriced
-10% to -5% below FMV	Moderately Underpriced
> -10% below FMV	Significantly Underpriced

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Step 8: Comps Score Calculation (0-100)

Score the property's value proposition across 5 sub-dimensions:

Data Quality (0-20 points)

Criteria	Points
8+ quality comps found	20
6-7 quality comps found	16
5 comps found	12
3-4 comps found	8
1-2 comps found	4
All comps sold within 3 months	+2 bonus
All comps within 0.5 miles	+2 bonus
Average net adjustment < 10%	+2 bonus
Cap at 20

Price Alignment (0-20 points)

Criteria	Points
Significantly Underpriced (>10% below FMV)	20
Moderately Underpriced (5-10% below)	17
Slightly Underpriced (2-5% below)	14
Fairly Priced (within 2%)	12
Slightly Overpriced (2-5% above)	8
Moderately Overpriced (5-10% above)	4
Significantly Overpriced (>10% above)	1

Comp Relevance (0-20 points)

Criteria	Points
Average sq ft difference < 5%	6
Average sq ft difference 5-10%	4
Average sq ft difference 10-20%	2
Average bed/bath difference = 0	6
Average bed/bath difference <= 1	4
Average bed/bath difference > 1	2
Same property type for all comps	4
Mixed property types	2
Same subdivision/neighborhood	4
Different neighborhoods	2

Market Trend (0-20 points)

Criteria	Points
Strong appreciation (>5% in 6 months)	18-20
Moderate appreciation (2-5% in 6 months)	14-17
Stable (flat within 2%)	10-13
Slight depreciation (-2% to -5%)	6-9
Declining market (>-5%)	2-5

Determine trend by comparing comp sale prices chronologically — are more recent sales higher or lower per sq ft than older sales?

Value Assessment (0-20 points)

This is the holistic assessment combining all factors:

Criteria	Points
Strong value: underpriced in appreciating market with good comps	17-20
Good value: fairly priced with positive trend	13-16
Neutral: fairly priced in stable market	9-12
Weak value: overpriced or declining market	5-8
Poor value: overpriced in declining market with poor comps	1-4

Total Comps Score = Data Quality + Price Alignment + Comp Relevance + Market Trend + Value Assessment

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Output Template

Save the report to PROPERTY-COMPS-[ADDRESS].md where [ADDRESS] is the street address with spaces replaced by hyphens.

# Comparable Sales Analysis: [FULL ADDRESS]

> **Generated:** [DATE] | **Comps Score:** [SCORE]/100 | **Assessment:** [OVER/UNDER/FAIR]

**DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.**

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## Subject Property

| Detail | Value |
|--------|-------|
| Address | [Address] |
| List/Sale Price | [$X] |
| Beds / Baths | [X] / [X] |
| Square Footage | [X] sq ft |
| Price per Sq Ft | [$X] |
| Lot Size | [X] |
| Year Built | [YYYY] |
| Property Type | [Type] |
| Condition | [Condition] |

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## Comparable Sales

| # | Address | Sale Price | $/Sq Ft | Sq Ft | Beds | Baths | Sold | Distance | DOM |
|---|---------|-----------|---------|-------|------|-------|------|----------|-----|
| 1 | [Addr] | $[X] | $[X] | [X] | [X] | [X] | [Date] | [X] mi | [X] |
| 2 | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 3 | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 4 | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 5 | ... | ... | ... | ... | ... | ... | ... | ... | ... |

**Median Comp Price:** $[X] | **Median $/Sq Ft:** $[X] | **Avg Days on Market:** [X]

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## Adjustment Analysis

### Comp 1: [Address]

| Adjustment | Amount | Reason |
|------------|--------|--------|
| Square Footage | +/- $[X] | [Subject X vs Comp X] |
| Bedrooms | +/- $[X] | [Subject X vs Comp X] |
| Bathrooms | +/- $[X] | [Subject X vs Comp X] |
| Age | +/- $[X] | [Subject X vs Comp X] |
| Lot Size | +/- $[X] | [Subject X vs Comp X] |
| Garage | +/- $[X] | [Difference] |
| Condition | +/- $[X] | [Difference] |
| Location | +/- $[X] | [Assessment] |
| **Net Adjustment** | **+/- $[X]** | **[X]% of sale price** |
| **Adjusted Value** | **$[X]** | |

[Repeat for each comp]

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## Fair Market Value Estimate

| Method | Estimate |
|--------|----------|
| Weighted Average of Adjusted Comps | $[X] |
| Median Adjusted Comp Value | $[X] |
| Median Price/Sq Ft x Subject Sq Ft | $[X] |
| **Final Estimated FMV** | **$[X]** |

### Value Range

| Estimate | Value |
|----------|-------|
| Low (Conservative) | $[X] |
| Mid (Most Likely) | $[X] |
| High (Optimistic) | $[X] |

---



| Metric | Value |
|--------|-------|
| List Price | $[X] |
| Estimated FMV | $[X] |
| Difference | $[X] ([X]%) |
|  |  |



| Scenario | Offer Price | Basis |
|----------|-------------|-------|
| Aggressive | $[X] | [X]% below FMV |
| Competitive | $[X] | At FMV |
| Stretch | $[X] | [X]% above FMV |

---



| Period | Median $/Sq Ft | Change |
|--------|---------------|--------|
| 6 months ago | $[X] | — |
| 3 months ago | $[X] | [X]% |
| Current | $[X] | [X]% |
|  |  |  |

---



| Dimension | Score | Max | Notes |
|-----------|-------|-----|-------|
| Data Quality | [X] | 20 | [Brief note] |
| Price Alignment | [X] | 20 | [Brief note] |
| Comp Relevance | [X] | 20 | [Brief note] |
| Market Trend | [X] | 20 | [Brief note] |
| Value Assessment | [X] | 20 | [Brief note] |
|  |  |  | |

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 [Top strength from comps analysis]
 [Second strength]
 [Third strength]


 [Top concern]
 [Second concern]
 [Third concern]

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Confidence Indicators

Flag the confidence level of the analysis:

Confidence	Criteria
High	6+ comps, all within 0.5 mi and 3 months, avg adjustment < 10%
Moderate	4-5 comps, within 1 mi and 6 months, avg adjustment < 15%
Low	3 or fewer comps, expanded search area/time, avg adjustment > 15%

Always disclose the confidence level prominently in the report.

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Error Handling

• If no comps found within 1 mile / 6 months, expand search radius to 2 miles and time window to 12 months
• If property is unique (e.g., waterfront, historic, very large lot), note that comps may be less reliable
• If listing price is unavailable, estimate based on tax assessment and local assessment-to-market ratios
• If square footage data conflicts between sources, use the county assessor record as primary

DISCLAIMER: For educational/research purposes only. Not financial or investment advice. Always consult licensed real estate professionals.