For Property Appraisers ·
What you'll accomplish
By the end of this guide, you'll have a systematic workflow for generating all narrative sections of a URAR residential appraisal report using ChatGPT — neighborhood description, market conditions, comp selection rationale, adjustment explanations, and reconciliation. What currently takes 2–3 hours of writing per report will drop to 30–45 minutes of reviewing and editing.
What you'll need
Instead of prompting ChatGPT once per narrative section (5 separate conversations), you'll build a single "report package" prompt that generates all sections at once from a structured data input. This means you enter your property data once and get a complete first draft of all narratives in one session.
What you should see after setup: You type your property data in a consistent format, paste it into ChatGPT, and receive 5–6 complete narrative sections ready to review and paste into your forms software.
Troubleshooting: If you get generic output, your data input is too vague — the more specific your property facts, the better the output.
Open a notes app or document and type this prompt template. You'll save this permanently and paste it at the start of each report session:
You are an assistant helping a state-licensed certified residential appraiser write professional report narratives. All output must use appropriate appraisal terminology, be objective and factual, and comply with USPAP standards. Do not include opinions of value — only describe the market, property, and comparable sales.
For the following property data, generate these sections in order:
1. NEIGHBORHOOD DESCRIPTION (URAR format — location, boundaries, employment access, amenities, schools, market character)
2. MARKET CONDITIONS (describe market trend using the statistics provided, mention supply/demand, price trend, DOM trend)
3. COMPARABLE SELECTION RATIONALE (explain why these comps were selected and note any limitations)
4. ADJUSTMENT EXPLANATIONS (for each adjustment listed, write 2-3 sentences explaining market support)
5. RECONCILIATION (summarize the weight given to each approach and explain final value conclusion)
PROPERTY DATA:
[You will paste your data here each time]
Save this prompt. You'll paste it into a fresh ChatGPT conversation at the start of each report.
Now create a standard data input format. This goes at the bottom of the master prompt, after "PROPERTY DATA:" — you fill this in for each specific report:
Subject Property:
- Address: [address]
- Type: [SFR/condo/etc]
- GLA: [sqft]
- Beds/Baths: [#/#]
- Year Built: [year]
- Condition: [C1-C6 or describe]
- Notable features: [pool/garage/renovations/etc]
- Location: [city, neighborhood name if applicable]
Neighborhood:
- City/Metro: [city, state]
- Type: [suburban/urban/rural]
- Nearby employment: [employers, distance]
- Schools: [district name, above/below/avg rating]
- Amenities: [shopping, transit, parks within X miles]
- Market trend: [increasing/stable/declining]
Market Statistics (from your MLS):
- Median sale price now: $[amount]
- Median sale price 12 months ago: $[amount]
- Average DOM: [days]
- List-to-sale ratio: [%]
- Active listings: [#, trending up/down]
Comparable Sales:
COMP 1: [address], [GLA sqft], [beds/baths], sold $[price] on [date], [distance] miles
COMP 2: [address], [GLA sqft], [beds/baths], sold $[price] on [date], [distance] miles
COMP 3: [address], [GLA sqft], [beds/baths], sold $[price] on [date], [distance] miles
Adjustments:
- [Feature]: +$[amount] or -$[amount] — [brief reason]
- [Feature]: +$[amount] or -$[amount] — [brief reason]
Reconciliation notes:
- Final value: $[amount]
- Primary weight given to: [which comp(s) and why]
Open ChatGPT. Start a new conversation. Paste your Master Report Prompt, then immediately below it paste your Data Input Template filled in with real data from your current report.
Press Enter and wait 30–45 seconds.
What you should see: Five labeled sections appear, each written in professional appraisal language. The neighborhood description will reference your specific location. Market conditions will use your statistics. Adjustments will have professional explanations.
Troubleshooting: If the output feels generic, add more specific local details to your data input (name specific employers, name the school district, mention a nearby landmark). Specificity drives output quality.
Read each section critically. As a licensed appraiser, you're responsible for every word. Check:
Make edits where needed (usually minor word changes for accuracy), then copy each section and paste into the corresponding field in Total, ACI, or your forms software.
Time check: Initial review and editing of AI-generated narratives typically takes 15–20 minutes — dramatically faster than writing from scratch.
For a declining market:
Add to market stats: "Note that absorption has increased 20% in past 90 days. Market is declining. Emphasize conditions exposure period lengthening."
For limited comparable sales:
Add: "Note limited comparable sales in this market — only 3 sales within 1 mile in past 12 months. Explain why expanded geographic or time search was necessary."
For a non-conforming property:
Add: "Subject has a non-conforming feature [describe]. Include a brief note in the neighborhood section about this and how it was handled."
For a condo:
Change "NEIGHBORHOOD DESCRIPTION" to include: "Add a brief project overview section describing the condominium project, homeowner association, and any project-level conditions."