Address, price range, property notes, audience, local context, timeline, and the channel you are writing for.
AI prompts for agents
AI prompts real estate professionals can actually use this week.
Copy, paste, and replace the bracketed details. These prompts are built for everyday agent work: listing prep, buyer conversations, seller updates, open houses, follow-up, and local market explanations.
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Use AI like an assistant, not a magic writer.
Tell it whether you need an email, text message, call outline, Instagram caption, MLS-style draft, or client-facing summary.
Ask for missing facts, risky wording, fair-housing concerns, unsupported claims, and a cleaner final version.
Copy-and-paste prompt library for agents.
Replace the bracketed details. Keep your brokerage, MLS, advertising, and fair-housing rules in mind before anything goes to a client or public channel.
1. Listing description from rough notes
The highest-use prompt for turning rough property notes into usable listing copy.
Act as a real estate copy editor. Write a polished listing description for [property address or neighborhood]. Facts: - Price: [price] - Beds/baths/sq ft: [details] - Best features: [features] - Recent updates: [updates] - Nearby amenities: [parks, schools, transit, shopping — only if accurate] - Target buyer: [first-time buyer, move-up buyer, investor, luxury buyer, etc.] Write 3 versions: 1. MLS-style, factual and concise 2. Warmer consumer-facing website copy 3. Short social caption Avoid fair-housing language, unsupported claims, and exaggerated promises. Flag any detail that needs verification.
2. Seller weekly update
A practical prompt for keeping sellers informed without sounding vague or defensive.
Help me write a weekly seller update that is calm, specific, and easy to scan. Listing: [address] Week: [week number] Showings: [number] Online views/saves/inquiries: [numbers if available] Feedback themes: [summary] Competing listings or price changes: [details] My recommendation: [hold price, adjust price, improve photos, change showing instructions, etc.] Structure it as: - Quick summary - What we are seeing - What it likely means - My recommended next step - One clear question for the seller Tone: professional, direct, reassuring, not defensive.
3. Buyer consultation questions
Use this before the first call to understand motivation, constraints, and decision style.
Create a buyer consultation guide for a client with this profile: Client profile: [first-time buyer / relocating / investor / downsizing / move-up] Budget range: [range] Target areas: [areas] Timeline: [timeline] Known concerns: [rates, schools, commute, cash needed, competition, etc.] Give me: 1. 10 questions to understand motivation and constraints 2. 5 questions that reveal decision-making style 3. A short explanation of the buying process in plain English 4. A follow-up email I can send after the call Keep it practical and avoid legal or lending advice.
4. Showing follow-up text
Fast follow-up while the buyer still remembers what they liked, questioned, or disliked.
Write 5 short follow-up texts after a property showing. Property: [address] Buyer reaction: [liked kitchen, worried about road noise, needs to compare commute, etc.] Potential next step: [second showing, offer discussion, send comps, move on] Make the texts: - Natural and human - Under 320 characters each - Specific to the buyer's reaction - Not pushy Include one version that asks a direct next-step question.
5. Open house follow-up sequence
Turn open-house sign-ins into specific, useful follow-up instead of a generic thank-you.
Create a 3-message follow-up sequence for open house visitors. Open house property: [address] Visitor type: [buyer, neighbor, investor, unknown] What they mentioned: [budget, timeline, favorite feature, objection, etc.] Write: 1. Same-day text message 2. Next-day email with a useful detail about the home or market 3. Three-day follow-up that offers a next step Tone: helpful, brief, consultative. Do not assume they are ready to buy.
6. Price reduction conversation prep
Prep the evidence, script, objections, and follow-up before a sensitive pricing call.
Help me prepare for a price reduction conversation with a seller. Listing: [address] Current list price: [price] Days on market: [number] Showings: [number] Offers: [number] Feedback: [feedback] Comparable sales: [comp notes] Competing active listings: [active notes] Recommended new price: [price or range] Give me: - A plain-English summary of the evidence - A respectful script for the conversation - 3 seller objections and calm responses - A follow-up email summarizing the recommendation Avoid sounding alarmist or blaming the seller.
7. Local market explainer
Translate local market notes into plain English clients can understand.
Turn these local market notes into a simple explanation for clients. Market: [city/neighborhood] Period: [month/quarter] Inventory: [up/down/number] Median price: [trend] Days on market: [trend] Rates or affordability context: [details] What buyers should know: [notes] What sellers should know: [notes] Write: 1. A 150-word client-friendly explanation 2. A shorter email version 3. A 5-bullet summary 4. A social caption Use cautious language. Do not predict the market with certainty.
8. Lead follow-up that does not sound automated
Write follow-up that sounds specific and human, not like a CRM template.
Write follow-up messages for this real estate lead. Lead source: [Zillow, website, open house, referral, old database] What they asked about: [property, valuation, buying timeline, neighborhood] Known details: [budget, area, timeframe, concern] Desired next step: [call, home search setup, valuation appointment, lender intro] Give me: - 3 text messages - 2 email subject lines - 1 short email - 1 voicemail script Make it personal, specific, and low-pressure. Avoid fake urgency.
Tip: the best results come from adding real details. If a prompt produces generic copy, paste in more context: property condition, client motivation, local nuance, objections, timeline, and what you want the person to do next.
Before you use AI copy with a client.
AI can invent square footage, school details, HOA rules, commute times, neighborhood claims, and market statistics. Verify before publishing.
Avoid copy that implies who a home is “perfect for” based on family status, age, religion, disability, nationality, or other protected categories.
Use AI to get the first draft faster. Then remove the filler, add real local judgment, and make it sound like you.
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