ChatGPT Prompts for Real Estate

Write a compelling property listing description for the following property:

Property type: {{property_type}}
Address / Neighborhood: {{location}}
Bedrooms: {{bedrooms}} | Bathrooms: {{bathrooms}} | Sq ft: {{square_footage}}
List price: {{list_price}}
Key features: {{key_features}}
Target buyer profile: {{target_buyer}}
Neighborhood highlights: {{neighborhood_highlights}}

Requirements:
- Open with a hook that speaks directly to the target buyer's lifestyle
- Highlight the top 3 differentiating features (not just "granite countertops")
- Include a neighborhood paragraph that mentions walkability, schools, or commute times as relevant
- Close with a call-to-action and urgency element
- Tone: {{tone}} (e.g., luxury, family-friendly, investor-focused)
- Length: {{length}} (e.g., MLS 250-word limit, full marketing description)

Do NOT use these overused phrases: "nestled," "boasts," "stunning," "must-see," "won't last long." Write like a local agent who knows the neighborhood personally.

Prepare a client-ready Comparative Market Analysis (CMA) summary for {{property_address}}.

Subject property details:
{{subject_property_details}}

Comparable sales (provide 3-5):
{{comparable_sales}}

Active competing listings:
{{active_listings}}

Include the following sections:
1. Executive Summary — recommended list price range with rationale (2-3 sentences)
2. Comparable Sales Analysis — for each comp, note the adjusted price per square foot and explain the key adjustments (location, condition, features, time)
3. Active Competition — how the subject property compares to what buyers are currently seeing on the market
4. Market Conditions — days on market trend, list-to-sale price ratio, inventory levels for {{neighborhood}} over the past {{time_period}}
5. Pricing Strategy — two or three pricing scenarios (aggressive, market, aspirational) with likely outcomes for each
6. Recommended List Price — a single number with the supporting logic

Audience: {{audience}} (e.g., sophisticated seller, first-time seller, estate/probate situation)
Write in a confident, advisory tone. Avoid hedging language — the client is paying for your professional opinion.

Create a buyer qualification questionnaire and scoring framework for my real estate practice. I work primarily in the {{market_area}} market with a typical price range of {{price_range}}.

Generate:
1. A conversational discovery questionnaire (15-20 questions) organized by category:
   - Financial readiness (pre-approval status, down payment, debt-to-income comfort)
   - Timeline and motivation (must-move date, lease expiration, life event driving the move)
   - Property criteria (must-haves vs. nice-to-haves, dealbreakers)
   - Decision-making process (other decision-makers, previous home purchases)
   - Agent relationship (working with other agents, referral source)

2. A lead scoring rubric that assigns points based on answers:
   - Hot (ready to transact in 0-30 days)
   - Warm (60-90 day timeline, needs nurturing)
   - Cold (6+ months out, add to drip campaign)

3. Suggested follow-up actions for each lead temperature

Frame the questions as natural conversation starters, not an interrogation. A good buyer consultation should feel like a helpful conversation, not a loan application.

Draft a negotiation strategy memo for the following real estate transaction:

My role: Representing the {{buyer_or_seller}}
Property: {{property_address}}
List price: {{list_price}}
Offer / counteroffer amount: {{offer_amount}}
Key terms: {{key_terms}}
Days on market: {{days_on_market}}
Number of competing offers (if known): {{competing_offers}}
Client's priorities: {{client_priorities}}
Client's walkaway point: {{walkaway_point}}
Known motivations of the other party: {{other_party_context}}

Provide:
1. Assessment of leverage — who has more negotiating power and why
2. Recommended counter-offer or response strategy with specific numbers and terms
3. Three concessions we can offer that cost us little but have high perceived value to the other side
4. Potential deal-breaker scenarios and how to navigate each one
5. Escalation strategy if the first counter is rejected
6. Suggested language for key negotiation points (repair credits, closing timeline, contingencies)
7. A "best alternative to no agreement" (BATNA) analysis for our client

This memo is for internal strategy purposes only — write candidly.

Create a 5-touch follow-up email sequence for open house attendees. The property is {{property_address}}, listed at {{list_price}} in {{neighborhood}}.

Open house details:
- Date held: {{open_house_date}}
- Number of attendees: {{attendee_count}}
- General feedback themes: {{feedback_themes}}
- Property status: {{property_status}} (e.g., still active, offer received, price reduced)

Generate 5 emails:
1. Same-day thank you (send within 4 hours) — personal, reference the open house experience, ask one specific question to start a conversation
2. Day 2 — provide one piece of value (neighborhood data, school ratings, or a market insight) relevant to the property
3. Day 5 — address the most common objection from feedback themes, share a relevant comparable sale
4. Day 10 — soft check-in with a status update on the property (or similar listings if it sold)
5. Day 21 — long-term nurture: market update for the area, position yourself as the local expert

For each email provide:
- Subject line (under 50 characters, no spam trigger words)
- Body copy (under 150 words — brevity wins in real estate emails)
- A single clear call-to-action

Tone: Warm, professional, not salesy. Write as {{agent_name}} from {{brokerage}}.

Analyze the following investment property opportunity and provide a comprehensive ROI assessment:

Property: {{property_address}}
Purchase price: {{purchase_price}}
Estimated closing costs: {{closing_costs}}
Required repairs/renovation: {{renovation_cost}}
Property type: {{property_type}} (e.g., single-family rental, duplex, short-term rental)

Income assumptions:
- Monthly rent (or nightly rate for STR): {{rental_income}}
- Occupancy rate: {{occupancy_rate}}
- Other income (laundry, parking, pet fees): {{other_income}}

Expense assumptions:
- Property taxes: {{property_taxes}}
- Insurance: {{insurance}}
- Property management: {{management_percent}}% of gross rent
- Maintenance reserve: {{maintenance_percent}}% of gross rent
- Vacancy allowance: {{vacancy_percent}}%
- HOA/Condo fees: {{hoa_fees}}
- Mortgage terms: {{mortgage_terms}}

Calculate and explain:
1. Net Operating Income (NOI)
2. Cash-on-cash return (year 1)
3. Cap rate
4. Gross rent multiplier
5. Monthly cash flow after debt service
6. Break-even occupancy rate
7. 5-year projection assuming {{appreciation_rate}}% annual appreciation and {{rent_growth}}% annual rent growth
8. Total return including equity buildup from mortgage paydown

Flag any assumptions that seem unrealistic for the {{market_area}} market. Compare the returns to alternative investments (S&P 500 average, high-yield savings, REITs) for context.