Claude Prompt Library

20 Claude Prompts for Real Estate That Close More Deals

20 copy-paste prompts

XML-structured prompts for property listings, market analysis, client outreach, negotiation strategy, and investment analysis — built for how Claude helps agents and investors.

In short: This page contains 20 copy-paste ready prompts, organized into 5 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.

Louis Corneloup
By Louis Corneloup · Founder, Techpresso
Last updated ·Hand-curated & tested by the AI Academy team

Property Listings

4 prompts

Listing Description Writer

1/20

✨ What it does

Generates a polished MLS listing description from property details.

<context> Property: [PROPERTY TYPE] at [ADDRESS] Bed/bath: [BED/BATH], sqft: [SQFT] Key features: [LIST 5-8 FEATURES] Price: [PRICE] </context> <task> Write a 150-200 word MLS listing description. 1. Lead with the strongest feature 2. Use vivid but accurate language 3. Include neighborhood context 4. End with a call to action </task> <constraints> - Avoid clichés like "must-see" or "won't last" - Comply with fair housing language requirements - No exaggerated claims </constraints>

💡

Pro tip: Save your brokerage style guide in a Claude Project for consistent listing copy.

Luxury Property Copywriter

2/20

✨ What it does

Crafts editorial-quality narratives for luxury property listings.

<context> Property: [LUXURY PROPERTY TYPE] at [ADDRESS] Price: [PRICE] Luxury features: [LIST 8-12 HIGH-END FEATURES] Architectural style: [STYLE] Views/setting: [DESCRIBE] </context> <task> Write editorial-quality marketing copy: 1. A headline (under 10 words) 2. A tagline (one sentence) 3. A 300-400 word narrative in Architectural Digest style </task> <constraints> - Sophisticated, aspirational tone - Focus on lifestyle, not just features - No exclamation marks or generic superlatives </constraints>

💡

Pro tip: Mention the lifestyle the property enables — entertaining, privacy, wellness — not just square footage.

Rental Listing Optimizer

3/20

✨ What it does

Creates platform-optimized rental listings that drive tenant inquiries.

<context> Unit: [TYPE] in [LOCATION] Rent: [AMOUNT/month], Bed/bath: [BED/BATH] Amenities: [LIST] Available: [DATE], Lease: [TERM] Pet policy: [DETAILS] </context> <task> Write a 120-160 word rental listing optimized for Zillow/Apartments.com: 1. Lead with rent, bed/bath, and move-in date 2. Highlight what differentiates this unit 3. Include a clear next step </task> <constraints> - Front-load the most searched-for details - Friendly, approachable tone - Fair housing compliant </constraints>

💡

Pro tip: Emphasize proximity to transit and employers — renters prioritize location and convenience.

Virtual Tour Script

4/20

✨ What it does

Produces a timed narration script with camera notes for virtual tour videos.

<context> Property: [TYPE] at [ADDRESS] Rooms to highlight: [LIST EACH ROOM WITH KEY FEATURES] Target buyer: [DESCRIBE IDEAL BUYER] Standout features: [TOP 5] </context> <task> Write a 2-3 minute virtual tour narration script: 1. Opening hook about the lifestyle 2. Room-by-room walkthrough 3. Outdoor/neighborhood segment 4. Closing with call to action Include [PAUSE] markers and [SHOT: description] notes. </task> <constraints> - Conversational but professional tone - Each room segment 15-25 seconds - Mention things photos can't convey (flow, light, scale) </constraints>

💡

Pro tip: Read the script aloud before recording — cut anything that sounds stiff.

XML tags are just the start. Learn the full Claude workflow.

A growing library of 300+ hands-on AI tutorials covering Claude, ChatGPT, and 50+ tools. New tutorials added every week.

Start 7-Day Free Trial

Market Analysis

4 prompts

Comparative Market Analysis

5/20

✨ What it does

Structures a professional CMA with adjusted comparables and pricing logic.

<context> Subject property: [ADDRESS, BED/BATH, SQFT, CONDITION] Comp 1: [ADDRESS, SALE PRICE, DATE, SQFT, CONDITION] Comp 2: [ADDRESS, SALE PRICE, DATE, SQFT, CONDITION] Comp 3: [ADDRESS, SALE PRICE, DATE, SQFT, CONDITION] Active listings: [LIST WITH PRICES] </context> <task> Prepare a CMA summary: 1. Adjusted price range with reasoning 2. Comp-by-comp comparison with adjustments 3. Recommended list price 4. Price-per-sqft analysis </task> <constraints> - Show adjustment logic transparently - Write for a seller, not an appraiser - Include date disclaimer - Do not guarantee any sale price </constraints>

💡

Pro tip: Enable extended thinking so Claude works through price adjustments methodically.

Neighborhood Research Report

6/20

✨ What it does

Builds a structured neighborhood profile tailored to a specific buyer persona.

<context> Neighborhood: [NAME, CITY, STATE] Target audience: [RELOCATING FAMILY / INVESTOR / RETIREE / FIRST-TIME BUYER] </context> <task> Create a neighborhood report covering: 1. Overview and character 2. Housing market snapshot (median price, trends) 3. Schools and ratings 4. Lifestyle and amenities 5. Transportation and commute times 6. Pros and cons (3-5 each) </task> <constraints> - Tailor emphasis to the target audience - Avoid subjective claims about demographics (fair housing) - Note where buyers should verify current data - Include disclaimer about independent verification </constraints>

💡

Pro tip: Save neighborhood reports in a Claude Project to update quarterly without starting from scratch.

Investment Property Analysis

7/20

✨ What it does

Runs a full financial analysis on a rental property with key investment metrics.

<context> Property: [ADDRESS], Price: [PRICE] Estimated rent: [MONTHLY RENT] Expenses: taxes [AMOUNT], insurance [AMOUNT], maintenance [AMOUNT] Financing: [DOWN PAYMENT, RATE, TERM] Vacancy assumption: [%] </context> <task> Calculate and present: 1. Monthly cash flow 2. Cap rate 3. Cash-on-cash return 4. Gross rent multiplier 5. Overall assessment: buy / proceed with caution / pass </task> <constraints> - Show all calculations step by step - Use conservative assumptions - Flag red flags (negative cash flow, high expense ratio) - Note that projections are estimates </constraints>

💡

Pro tip: Ask Claude to output as a spreadsheet artifact for easy sharing with lending partners.

Market Trend Summary

8/20

✨ What it does

Turns raw market stats into a polished report with buyer and seller takeaways.

<context> Market area: [CITY/NEIGHBORHOOD] Period: [MONTH/YEAR] Median sale price: [CURRENT vs PREVIOUS] Days on market: [CURRENT vs PREVIOUS] Inventory: [MONTHS OF SUPPLY] Sale-to-list ratio: [%] </context> <task> Write a market trend summary: 1. 3-sentence executive summary (social media ready) 2. Detailed 300-word analysis 3. What this means for buyers (3 bullets) 4. What this means for sellers (3 bullets) </task> <constraints> - Lead with the most significant trend - Tie every claim to a data point - Avoid predicting exact price movements - Accessible tone for non-industry readers </constraints>

💡

Pro tip: Use this monthly in a Claude Project to build year-over-year comparison data.

Client Communication

4 prompts

Buyer Consultation Prep

9/20

✨ What it does

Creates a buyer consultation package with agenda and qualifying questions.

<context> Buyer: [NAME], Type: [FIRST-TIME / MOVE-UP / INVESTOR] Budget: [RANGE] Target area: [NEIGHBORHOODS] Timeline: [WHEN] Pre-approval: [STATUS] </context> <task> Prepare a consultation package: 1. 30-45 minute meeting agenda 2. 10 qualifying questions (rapport → specific needs) 3. Market talking points for [TARGET AREA] 4. "What to expect" buying process overview 5. Documents and next steps to share after </task> <constraints> - Tailor complexity to buyer type - Uncover unstated priorities - Frame your value without being pushy </constraints>

💡

Pro tip: Store your consultation template in a Claude Project and customize per client.

Seller Listing Presentation

10/20

✨ What it does

Structures a listing presentation with pricing strategy and objection handlers.

<context> Seller: [NAME], Property: [ADDRESS] Property details: [BED/BATH, SQFT, FEATURES] Seller motivation: [WHY SELLING] Seller price expectation: [THEIR EXPECTED PRICE] Your recommended price: [YOUR CMA-BASED RANGE] Competing agents: [NUMBER] </context> <task> Create a listing presentation: 1. 8-10 section outline with key points 2. Pricing strategy talking points 3. Marketing plan overview 4. Objection responses for "another agent said more" and "your commission" 5. Proposed timeline </task> <constraints> - Lead with market data, not self-promotion - Address pricing sensitively - Include specific marketing steps, not vague promises </constraints>

💡

Pro tip: Use extended thinking when your price differs from seller expectation.

Open House Follow-Up

11/20

✨ What it does

Generates five personalized follow-up emails segmented by visitor type.

<context> Property: [ADDRESS], Price: [PRICE] Open house date: [DATE] Agent: [YOUR NAME] </context> <task> Write 5 follow-up emails for different visitor types: 1. Hot lead — strong interest, asked detailed questions 2. Warm lead — liked it but had concerns 3. Neighbor — not buying, just curious 4. Buyer's agent — scouting for client 5. No-show — registered but didn't attend Each: under 150 words with subject line and CTA. </task> <constraints> - Personalize each to the visitor type - Reference something specific about the property - Follow up within 24 hours framing - No pushy language </constraints>

💡

Pro tip: Ask Claude to create these as an artifact for easy copy-paste into your CRM.

Price Reduction Conversation

12/20

✨ What it does

Prepares a data-led price reduction conversation with scripts and follow-ups.

<context> Property: [ADDRESS] Original price: [PRICE], Days on market: [DOM] Showings: [COUNT], Offers: [COUNT] Showing feedback: [COMMON THEMES] Competing listings: [SIMILAR HOMES PRICED LOWER] Recommended new price: [PRICE] </context> <task> Prepare: 1. Phone conversation script (250 words) 2. Follow-up email confirming new price 3. Alternative email if they want to "think about it" Address: cost of not reducing, showing feedback data. </task> <constraints> - Never blame seller for original price - Frame as market response strategy - Use specific comparable data - Acknowledge emotional difficulty </constraints>

💡

Pro tip: Send supporting market data by email before the call so the conversation is less emotional.

These prompts give you the what. Tutorials give you the why.

Learn when to use extended thinking, how to build Claude Projects, and workflows that compound. 300+ tutorials and growing.

Try AI Academy Free

Negotiations & Transactions

4 prompts

Offer Strategy Builder

13/20

✨ What it does

Crafts a competitive offer strategy with contingency and escalation recommendations.

<context> Property: [ADDRESS], List price: [PRICE] Buyer budget: [MAX], Financing: [TYPE] Competing offers: [YES/NO] Comparable sales: [LIST 2-3] Market: [SELLER'S / BALANCED / BUYER'S] </context> <task> Build an offer strategy: 1. Recommended offer price with reasoning 2. Earnest money amount 3. Contingency strategy (include/waive/modify) 4. Escalation clause recommendation 5. Ranked concessions if seller counters </task> <constraints> - Never recommend waiving inspection without stating risk - Base price on comparables, not emotion - Provide primary strategy and fallback </constraints>

💡

Pro tip: Use extended thinking for multi-offer scenarios to find your strongest positioning.

Counter-Offer Response

14/20

✨ What it does

Analyzes the negotiation gap and produces ranked response options.

<context> Original offer: [PRICE, CONTINGENCIES, CLOSE DATE] Seller counter: [COUNTER PRICE, CHANGES] Client max: [MAX BUDGET] Days on market: [DOM] Client priority: [PRICE / TERMS / TIMELINE] </context> <task> Analyze the gap and provide: 1. What each change signals about seller priorities 2. Three response options ranked by acceptance likelihood 3. Recommended response with rationale 4. Draft language for the response 5. Walk-away indicators </task> <constraints> - Consider non-price terms that may matter to seller - Be realistic about market conditions - Present options to client, not decisions </constraints>

💡

Pro tip: Ask Claude to identify which counter-offer changes signal flexibility vs. firmness.

Inspection Negotiation

15/20

✨ What it does

Categorizes inspection findings and builds a strategic repair request or response.

<context> Sale price: [PRICE] Role: [BUYER'S AGENT / LISTING AGENT] Inspection findings: - [ISSUE 1: description, severity, estimated cost] - [ISSUE 2: description, severity, estimated cost] - [ISSUE 3: description, severity, estimated cost] </context> <task> Build inspection negotiation strategy: 1. Categorize items: must-fix / should-negotiate / skip 2. Prioritized repair request or response strategy 3. Draft repair request or response letter 4. Walk-away analysis </task> <constraints> - Separate safety/structural from cosmetic - Consider market context for leverage - Present credits as alternative to repairs - Note estimates need contractor verification </constraints>

💡

Pro tip: Upload the inspection report to Claude for comprehensive categorization.

Closing Checklist

16/20

✨ What it does

Generates a timeline-based closing checklist with deadlines and responsible parties.

<context> Property: [ADDRESS] Contract date: [DATE], Closing date: [DATE] Transaction: [PURCHASE / SALE] Financing: [TYPE] Contingency deadlines: [LIST] </context> <task> Create a closing checklist: 1. Week-by-week timeline from contract to close 2. Action items with responsible party 3. Key deadline alerts 4. Document checklist 5. Final walk-through checklist 6. Closing day checklist </task> <constraints> - Flag hard vs soft deadlines - Include buffer time - Account for business days vs calendar days - Include communication checkpoints </constraints>

💡

Pro tip: Output as artifact in table format for easy import into project management tools.

Marketing & Lead Gen

4 prompts

Social Media for Listings

17/20

✨ What it does

Creates a multi-platform social content package for property listings.

<context> Property: [ADDRESS], Price: [PRICE] Key features: [TOP 3] Target buyer: [DESCRIBE] Agent: [NAME / @HANDLE] </context> <task> Create content for each platform: 1. Instagram carousel (caption + 8 slide text suggestions) 2. Facebook listing post (150 words) 3. TikTok/Reels script (30-60 seconds) 4. LinkedIn market-insight angle 5. Three teaser story posts </task> <constraints> - Adapt tone per platform - Every post needs a CTA - Fair housing compliant - Include hashtags for Instagram only </constraints>

💡

Pro tip: Use a Claude Project for each listing to generate fresh angles over multiple weeks.

Email Drip for Buyers

18/20

✨ What it does

Produces an 8-email buyer lead nurture sequence with full copy and timing.

<context> Agent: [NAME], Market: [CITY/REGION] Specialization: [TYPE] Lead source: [SOURCE] </context> <task> Write an 8-email drip sequence: 1. Welcome + what to expect 2. Market snapshot 3. Buying process simplified 4. Common buyer mistakes 5. Featured listings 6. Financing tips 7. Client success story 8. Re-engagement ("still looking?") Each: under 150 words, subject line, CTA, send timing. </task> <constraints> - Warm agent voice, not corporate - Each email stands alone - No guilt-tripping non-engagers - Space 3-5 days apart </constraints>

💡

Pro tip: Generate as artifact to review all eight emails side by side before CRM import.

Farming Letter Series

19/20

✨ What it does

Creates a six-month geographic farming direct mail series.

<context> Agent: [NAME] Target area: [NEIGHBORHOOD] Homes in farm: [COUNT] Average value: [VALUE] Recent sale: [ADDRESS AND PRICE] </context> <task> Write a 6-letter farming series (one per month): 1. Introduction — who you are 2. Market update — local stats 3. Home value offer — free valuation 4. Seasonal tip — maintenance + market tie-in 5. Success story — recent sale case study 6. Community spotlight — local event/business Each: 200-300 words with headline and CTA. </task> <constraints> - Each letter provides standalone value - 8th-grade reading level - Include trackable CTA - Vary format across letters </constraints>

💡

Pro tip: Save in Claude Project and refresh market data sections quarterly.

Agent Bio & Branding

20/20

✨ What it does

Builds a personal brand package with bios, tagline, and messaging pillars.

<context> Agent: [NAME], Brokerage: [BROKERAGE] Years: [YEARS], Area: [MARKET] Specialization: [TYPE] Transaction count: [TOTAL] Before real estate: [PREVIOUS CAREER] Differentiator: [WHAT MAKES YOU DIFFERENT] Tone: [PROFESSIONAL / APPROACHABLE / LUXURY] </context> <task> Produce: 1. Professional bio (250-350 words) for website 2. Short bio (75-100 words) for social media 3. One-line elevator pitch (under 15 words) 4. Tagline (under 8 words) 5. Three brand messaging pillars </task> <constraints> - Lead with client outcomes, not years of experience - Weave background into why you're a better agent - Avoid clichés: "passionate about real estate," "making dreams come true" - Third person for bio, first person for social </constraints>

💡

Pro tip: Generate three tagline options as an artifact and refine your favorite.

Free tool

Prompt Optimizer

Turn a rough idea into a structured, professional AI prompt.

Try it free →

Frequently Asked Questions

These prompts produce listing copy that avoids fair housing violations and common MLS compliance issues. Always review output against your local MLS rules before publishing — guidelines vary by board.
Paste your own current market data into the prompt — MLS stats, comparable sales, inventory numbers. Claude excels at analyzing and presenting data you provide. These prompts include placeholders for real numbers from your MLS or data provider.
Most prompts are written for residential, but market analysis, investment analysis, and negotiation prompts adapt well to commercial. Swap in commercial data points (NOI, cap rates, tenant profiles, lease terms) and Claude adjusts accordingly.
These prompts generate marketing copy, analysis summaries, and communication drafts — not legal documents. For contracts, addenda, and disclosures, use your state-approved forms and consult your broker or attorney.

Prompts are the starting line. Tutorials are the finish.

A growing library of 300+ hands-on tutorials on ChatGPT, Claude, Midjourney, and 50+ AI tools. New tutorials added every week.

7-day free trial. Cancel anytime.