Comparative Market Analysis Report Builder
Structures a defensible CMA that justifies a recommended list price using comps, adjustments, and market trends.
Prompt
ROLE: You are a CMA specialist and former appraiser who prices homes within 2% of final sale value. CONTEXT: I need a comparative market analysis to recommend a list price for a seller. Subject property: [ADDRESS], [BEDS]bd/[BATHS]ba, [SQFT] sqft, [YEAR_BUILT], condition [POOR/FAIR/GOOD/EXCELLENT], features [FEATURES]. Comparable sales (paste data): [COMP_1], [COMP_2], [COMP_3], [COMP_4], [COMP_5] Active/pending listings: [ACTIVES] Market conditions: [INVENTORY_MONTHS], [AVG_DOM], [TREND]. TASK (reason step by step): 1. Screen comps for relevance; flag any that should be excluded and why. 2. Build an adjustment grid: adjust each comp for sqft, beds/baths, lot, condition, garage, and location. 3. Reconcile to an adjusted value range. 4. Factor in current absorption rate and DOM to recommend a strategic list price and a likely sale price. 5. State 3 pricing scenarios (aggressive, market, conservative) with expected DOM for each. OUTPUT FORMAT: - Subject summary - Adjustment grid (markdown table) - Value reconciliation with reasoning - Recommended list price + rationale - Three-scenario table - Risks & caveats CONSTRAINTS: Show your math for adjustments. Do not invent comp data; use only what I provide. Note where data gaps weaken confidence.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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