Prompt Library

Real Estate Agent Prompts That Close More Deals

18 copy-paste prompts

18 ChatGPT prompts for listing descriptions, client communication, CMAs, marketing content, lead generation, and the business systems that grow a real estate practice.

In short: This page contains 18 copy-paste ready prompts, organized into 4 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Drafted with AI writing assistance and checked against our editorial policy.

Louis Corneloup
By Louis Corneloup ยท Founder, Techpresso
Last updated ยทDrafted with AI assistance (how we make prompts)

Listings + Descriptions

4 prompts

Listing Description Writer

1/18

โœจ What it does

ChatGPT writes a 250-400 word MLS listing for [address, type, beds, baths, sqft, features] aimed at [describe] at price [amount], with a hook, lifestyle lines, features, neighborhood notes, a soft CTA, and no discriminatory language. Paste it into the listing after you check every fact and the fair-housing wording.

Write MLS listing description. Property: [address, type, beds, baths, sqft, features]. Target buyer: [describe]. Price: [amount]. Include: compelling hook, lifestyle imagery, key features emphasized, neighborhood highlights, soft call-to-action. 250-400 words. Compliant with MLS rules (no discriminatory language).

๐Ÿ’ก

Pro tip: Listing descriptions sell lifestyle, not square footage. "Enjoy coffee on the sunny rear deck overlooking the oak-lined backyard" > "Rear deck, large backyard." Paint the scene.

Feature Sheet

2/18

โœจ What it does

ChatGPT builds a one-page feature sheet for [describe], covering highlights, dated updates, schools and commute, HOA, utilities, inclusions, and disclosures. Print it for the listing folder after you confirm the dates and the disclosure list.

Build feature sheet for listing. Property: [describe]. Include: property highlights, recent updates with dates, neighborhood features (schools, dining, commute times), HOA details, utility costs, inclusions vs exclusions, disclosures. One-page print-ready.

๐Ÿ’ก

Pro tip: Feature sheets prevent 10 repetitive buyer questions. Anticipate + answer upfront. Buyers who have info feel informed; confused buyers walk away.

Open House Marketing

3/18

โœจ What it does

ChatGPT plans open-house marketing for [describe] on [when], with a one-week social countdown, neighborhood postcards, a door-knocking script, a buyer-database email, signage, refreshments, and follow-up. Run the countdown this week and send the email the day you put signs out.

Open house marketing plan. Property: [describe]. Date: [when]. Include: 1-week social media countdown, postcards to nearby neighborhood, door knocking script, email to buyer database, signage plan, refreshments, follow-up strategy.

๐Ÿ’ก

Pro tip: Successful open houses = 5-15 visitors, 1-3 serious buyers, 2-3 neighbors curious about their home value. Treat neighbors as future listings, not interlopers.

Listing Video Script

4/18

โœจ What it does

ChatGPT scripts a 90-second listing video for [describe], with a unique-feature hook, walkthrough flow, lifestyle shots, a neighborhood glimpse, a brief agent beat, and a CTA for Reels, Shorts, or IDX. Film the hook first, then cut the walkthrough to 90 seconds.

Listing video script. Property: [describe]. Length: 90 seconds. Include: hook (unique feature), walkthrough flow, lifestyle shots (not just walls), neighborhood glimpse, agent briefly, CTA. For Instagram Reels / YouTube Shorts / IDX embed.

๐Ÿ’ก

Pro tip: Listing videos under 90 seconds get 10ร— views vs 3-minute ones. Short-form drives interest; scheduled showings close deals. Use video for volume, not completeness.

Prompts get you started. Tutorials level you up.

A growing library of hands-on, step-by-step AI tutorials. New tutorials are added regularly.

Start 7-Day Free Trial

Client Communication

5 prompts

Buyer Pre-Qualification Call

5/18

โœจ What it does

ChatGPT scripts a 20-30 minute buyer pre-qualification call covering two minutes of rapport, why they are moving, lender status, must-haves versus deal-breakers, expectations, and next steps. Use it on the next inbound call and write down the deal-breakers before you book showings.

Script buyer pre-qualification call. Include: rapport building (2 min), understanding motivation (why moving, timeline, urgency), financial pre-qual (working with lender?, approved range), property criteria (must-haves, nice-to-haves, deal-breakers), expectations setting, next steps. 20-30 min.

๐Ÿ’ก

Pro tip: Pre-qualification saves weeks of wasted time. Un-pre-qualified buyers who "love" houses can't close. 20-min call upfront = months saved downstream.

Offer Negotiation Email

6/18

โœจ What it does

ChatGPT writes an offer-negotiation email for situation [describe], seller position [describe], and buyer position [describe], with strengths acknowledged, a reasoned counter, terms, a deadline, and a warm close. Send it after you confirm the terms your client actually authorized.

Offer negotiation email. Situation: [describe]. Seller's position: [describe]. Buyer's position: [describe]. Include: acknowledging strengths of their offer, presenting counter with reasoning, emotional appeals if appropriate, concrete terms, deadline, warm close maintaining relationship.

๐Ÿ’ก

Pro tip: Written negotiations leave paper trails. Email counter-offers allow careful wording, emotional de-escalation time for buyers to reread + accept. Phone calls emotional; email analytical.

Difficult Client Conversation

7/18

โœจ What it does

ChatGPT scripts a difficult client conversation for situation [describe], with acknowledgment, clarifying questions, a calm professional reply, a path forward, and a note to document after. Say it out loud once, then document what you agreed before you leave the call.

Script difficult client conversation. Situation: [describe]. Include: acknowledging their frustration, asking clarifying questions, professional response without defensiveness, solution-oriented path forward, documentation after. Protect relationship + business.

๐Ÿ’ก

Pro tip: Document all difficult conversations in email summary ("To recap our conversation..."). Protects you legally + reinforces solutions agreed upon. 2 minutes of email = years of liability protection.

Offer Acceptance Announcement

8/18

โœจ What it does

ChatGPT writes an accepted-offer note to the buyer with congratulations, accepted terms, inspection/appraisal/loan next steps, deadlines, who does what, and calm process reassurance. Send it the same day and highlight the first deadline they own.

Announcement of accepted offer to buyer. Include: warm congratulations, summary of accepted terms, immediate next steps (inspection, appraisal, loan timeline), deadlines to meet, what you'll handle vs what they need to do, reassurance through process. Celebratory but organized.

๐Ÿ’ก

Pro tip: Buyers panic post-offer. Extensive "what happens now" email prevents 50% of anxiety calls. Be the calm, organized guide through confusing process.

Closing Day Checklist

9/18

โœจ What it does

ChatGPT builds a closing-day checklist covering ID and certified funds, walkthrough timing, utilities, keys, final loan and escrow checks, recording, and a celebration beat. Walk the list the morning of closing and pack the documents the night before.

Closing day checklist for buyer/seller. Include: documents to bring (ID, certified funds), pre-closing walkthrough timing, utilities transfer, key handover, final loan confirmation, escrow status, recording timing, celebrating after. Nothing forgotten.

๐Ÿ’ก

Pro tip: Closing day chaos = hundreds of details. Checklist prevents "I forgot" mistakes. Clients rate agents by closing day smoothness โ€” invest effort here.

Market Analysis + CMAs

4 prompts

CMA (Comparative Market Analysis)

10/18

โœจ What it does

ChatGPT builds a CMA for [describe] in [describe area] with 3-5 recent comps, adjustments, actives, expireds, pendings, a list-price range, and above/at/below-market strategy. Take the range into the pricing meeting and drop any comp that is not truly comparable.

Build CMA for listing. Property: [describe]. Market: [describe area]. Include: 3-5 comparable recent sales, adjustment for differences, active competition, expired listings (what didn't work), pending sales trajectory, suggested list price range, pricing strategy (above market = sit, at market = sell, below = multiple offers).

๐Ÿ’ก

Pro tip: CMAs: choose comps within 0.5 miles, sold in last 90 days, similar size + condition. More distant/older comps = weaker case. Pricing strategy matters more than "perfect" price.

Neighborhood Market Report

11/18

โœจ What it does

ChatGPT writes a monthly neighborhood report for [describe] with solds, actives, median trends, days on market, price per square foot, notable sales, a short prediction, and the best window to list or buy. Send it to your farm after you replace any stale stat.

Monthly neighborhood market report. Area: [describe]. Include: recent sold listings with data, active listings, median price trends, days on market, price per square foot, notable sales, market prediction, best time to list/buy based on data.

๐Ÿ’ก

Pro tip: Monthly neighborhood reports build expertise. Email to neighborhood database = stay top-of-mind. Referrals come from agents perceived as neighborhood experts.

Pricing Conversation Script

12/18

โœจ What it does

ChatGPT scripts a pricing talk when their expected price is [too high] and the CMA says [CMA findings], with emotional acknowledgment, comps, what overpricing does to days on market, and list-higher versus list-right options. Rehearse the data part, then have the conversation with the CMA in hand.

Script pricing conversation with seller. Their expected price: [too high]. Market reality: [CMA findings]. Include: emotional acknowledgment (I understand this home means a lot), data presentation (comps, market), reality of overpricing (days on market, price reductions), their options (list higher, see, adjust OR list at market), your recommendation.

๐Ÿ’ก

Pro tip: Pricing conversations often determine listing win/lose. Sellers anchored to inflated prices hurt themselves. Agents who lead with data + empathy win listings; flattery-driven agents lose 3 months to price reductions.

Buyer Education on Market

13/18

โœจ What it does

ChatGPT educates a buyer on concerns [describe], covering buyer versus seller conditions, rates and payment impact, inventory, the cost of waiting, current leverage, and realistic expectations. Share the payment math before the next showing, not after they fall in love with a house.

Educate buyer on current market. Concerns: [describe]. Include: current market dynamics (buyer vs seller market), rate environment + monthly payment impact, inventory realities, waiting cost (rent + lost appreciation), negotiation leverage currently, realistic expectations.

๐Ÿ’ก

Pro tip: Buyers armed with market knowledge make faster decisions. Unclear buyers "keep looking" for years. Spend 30 minutes educating; save months of indecision.

Like these prompts? There are full tutorials behind them.

Learn the workflows, not just the prompts. Easy-to-follow tutorials inside AI Academy, and the library keeps growing.

Try AI Academy Free

Marketing + Lead Gen

5 prompts

Instagram Agent Content

14/18

โœจ What it does

ChatGPT builds a 30-day Instagram calendar for niche [describe], mixing listings, market updates, just-solds, testimonials, personal moments, neighborhood spots, behind-the-scenes, and education across Reels, carousels, and stories. Schedule the first week and shoot the Reel that is already on the calendar.

30-day Instagram content calendar for realtor. Niche: [describe]. Include: daily posts across: listings, market updates, just-sold, client testimonials, personal moments, neighborhood spotlights, "life as a realtor" BTS, educational posts. Format mix: Reels, carousels, stories.

๐Ÿ’ก

Pro tip: Instagram for realtors = mix of personal + professional. Pure listing posts boring; pure personal = unprofessional. 60/40 professional/personal sweet spot.

Farming Postcard Campaign

15/18

โœจ What it does

ChatGPT plans a monthly farming postcard for area [describe], rotating just-solds, market updates, maintenance tips, seasonal advice, and a free CMA or referral ask without a hard pitch. Mail the first card after you swap in a real local sale.

Postcard campaign for neighborhood farming. Area: [describe]. Frequency: monthly. Include: just sold in area (proves activity), market updates, home maintenance tips, seasonal homeowner advice, CTAs (free CMA, referral request). Stays relevant without being sales-heavy.

๐Ÿ’ก

Pro tip: Farming postcards work on 18-36 month horizons. Most agents quit at 6 months โ€” right before compounding starts. Consistency > clever creative. Monthly mailings for 2+ years.

Email to Sphere of Influence

16/18

โœจ What it does

ChatGPT writes a monthly email to your sphere with a human update, a short market insight, a client win, a soft referral ask, and a neighborhood or trend add-on. Send it to the list after you add one real personal line at the top.

Monthly email to sphere of influence. Include: personal update (warm, human), market insight (short + valuable), client win/testimonial, referral ask (soft), value-add content (market trends, neighborhood update). Relationship over pitch.

๐Ÿ’ก

Pro tip: Sphere of influence drives 60-80% of realtor business. Monthly soft-touch email + birthday call + annual gift = $100-500 invested per person, $10K-100K commission returned.

Lead Magnet for Buyers

17/18

โœจ What it does

ChatGPT outlines buyer lead magnets such as a first-time checklist, relocation guide, home valuation, and market-update PDF, with contents, delivery, a follow-up sequence, and consult conversion. Build one magnet this week and connect the follow-up before you advertise it.

Lead magnet idea for buyer leads. Include: "First-Time Homebuyer Checklist," "Neighborhood Relocation Guide," "Free Home Valuation," "Market Update PDF." Per magnet: what's inside, delivery mechanism, follow-up sequence, conversion to consult. Build email list of quality prospects.

๐Ÿ’ก

Pro tip: Free CMA > generic magnet. High-intent buyers want specific info about their situation. "What's my home worth?" magnet converts 5ร— better than "homebuyer checklist."

Review Request Script

18/18

โœจ What it does

ChatGPT writes a post-closing review request with a thank-you, Google/Zillow/Realtor.com links, what makes a specific review useful, easy links, no required incentive, and two-week timing. Send it two weeks after closing on the platform they already use.

Post-closing review request. Include: warm thank-you message, specific platforms (Google, Zillow, Realtor.com), what makes a great review (specific details, recommendation), easy links, incentive ethics (don't require), 2-week after closing timing.

๐Ÿ’ก

Pro tip: Specific reviews ("Sarah found us 3 houses meeting our budget in competitive Austin market") outrank generic ones ("great agent!"). Coach clients toward specifics.

Free tool

Prompt Optimizer

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

Try it free โ†’

Frequently Asked Questions

Yes, with compliance awareness. ChatGPT generates MLS-ready descriptions but must be reviewed for: Fair Housing Act compliance (no discriminatory language โ€” no "safe neighborhood," "family-friendly," etc.), property accuracy, broker approval. Use as first draft; refine for compliance.
Solo: 10-20 deals/year sustainably. With assistant: 25-40. Team lead: 40+. Quality drops past capacity; reputation suffers. Better 15 great deals than 30 mediocre ones.
Yes, in 2026. Most agents quit farming too early. 18-24 month consistent farming = compounding database value + dominant market share. Expensive + slow + unsexy; works for patient agents.
Yes, for drafts and templates. No, for final send-offs without personalization. AI-written emails feel generic; AI-drafted + personalized emails feel polished. Use for efficiency, add personality.
Niche down aggressively. Generic agents compete on service. Niche agents (first-time buyers, luxury, specific neighborhood, relocation) win referrals from that niche. Specialization beats experience for newer agents.

Prompts are the starting line. Tutorials are the finish.

A growing library of hands-on tutorials on ChatGPT, Claude, Midjourney, and many other AI tools. New tutorials are added regularly.

7-day free trial. Cancel anytime.