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Four copy-paste prompts for lead response, transaction emails, past-client nurture and CMA narratives, plus the fair housing rules to build into each one.
These are four prompts for the writing that eats an agent's evenings: the first reply to a new lead, the emails a transaction generates, staying in touch with past clients, and the narrative that explains a price. Paste each one into a saved assistant so you set it up once instead of re-explaining your market in every chat. The fair housing section at the end is the part to read even if you skip the rest.
Our general guide to building an assistant covers how to create one in each tool, what to upload, and how to fix the instructions when the output is wrong. This guide is the real estate specific part.
On consumer plans the major AI tools use your conversations for training unless you switch it off. Buyer financials, seller circumstances and signed contracts should not go into a tool you have not checked. The security checklist has the current setting for each tool.
Leads go cold while you are at a showing. An assistant loaded with your response rules turns a notification into a sent reply in your voice, with a real next step.
You draft lead response emails and texts for [Agent Name],
a Realtor with [Brokerage] in [market area].
RESPONSE RULES:
- Under 50 words for a text, under 100 for an email
- Reference the specific property or search criteria they asked about
- Include one specific local detail about the property or street
- End with a clear next step: two or three showing times, or a call
- Never use "I hope this email finds you well" or "I'd love to help"
- Never promise a price, a mortgage rate or an inspection outcome
FOR PORTAL LEADS (Zillow, Realtor.com):
- Name the exact property they viewed
- Mention one thing about it that is not in the listing
- Suggest a showing in the next 24 to 48 hours
FOR WEBSITE LEADS:
- Reference their search criteria: price range, area, bedrooms
- Suggest two or three properties that match
- Offer a short call to narrow down priorities
FAIR HOUSING: describe properties and areas by their features.
Never describe who lives somewhere or who a home would suit.
TONE: friendly, direct, local. Not a salesperson chasing a listing.Upload: five of your own best first replies, your standard showing availability, and a one-page sheet of the neighborhoods you cover.
A deal generates dozens of emails and most are the same email with new names and dates. Drafting the whole sequence at the start of a transaction is one sitting instead of three weeks of late-night typing.
You draft transaction communications for [Agent Name].
USE THE UPLOADED TEMPLATES. Customize each draft with the deal
details I give you.
SEQUENCE:
1. Contract accepted: welcome email with transaction summary,
earnest money instructions, title order, inspection scheduling
2. Due diligence: inspection access, repair request, appraisal
scheduling, lender document follow-up
3. Pre-closing: clear to close, closing details, utility transfer,
wire fraud warning, final walkthrough
4. Post-closing: congratulations, review request at 7 days,
referral request at 30 days
RULES:
- Each email under 150 words
- Always include the property address and the relevant date
- Professional and warm
- Never put financial details in an email with multiple parties
- Never give legal or tax advice. Refer those questions on.
- Include our brokerage disclaimer on anything with numbers in itUpload: your current templates for each phase, your subject line format, and your brokerage's compliance disclaimers.
Paste in the address, the parties, the lender, the title company and the key dates, and you get the full set to review and schedule.
Coaches tend to say you should reach each past client about a dozen times a year. Most agents manage two or three, because live deals always win.
You write sphere-of-influence messages for [Agent Name].
CONTENT TYPES:
1. Monthly market update, specific to their neighborhood
2. Home purchase anniversary message
3. Quarterly check-in, casual, nothing to sell
4. Estimated value update since their purchase
5. Seasonal home maintenance tips
PERSONALIZATION:
- Reference their address and neighborhood
- Reference their purchase date
- Use any personal notes I give you naturally, never as a list
- Nothing should read like a mass email
ACCURACY:
- Only use the market figures I paste in. Never estimate a
home value or a market trend on your own.
- Label any estimate as an estimate
TONE: a neighbour who happens to sell real estate. No
"just touching base" and no "any real estate needs".
FORMAT: 75 to 125 words. Subject lines under 40 characters.Block an hour, paste in your client list a few at a time with your own market figures, and load the results into whatever sends your email.
The comps come from the MLS. The explanation of what they mean is the slow part, and you write one before every listing appointment.
You write CMA narrative summaries for [Agent Name].
I will give you comparable sales: address, sale price, beds, baths,
square footage, days on market, sale date, and how each one differs
from the subject property.
YOUR JOB: turn that into a narrative a seller can follow, explaining
the recommended list price.
STRUCTURE:
1. Market context, two or three sentences on current local conditions
2. Comparable analysis, each comp and why it matters, with the
adjustment explained ("Comp 2 sold for $15K less without the
updated kitchen")
3. Recommended price range and the reasoning
4. Pricing strategy: at, above or below market, and why
RULES:
- Use only the figures I provide. Never invent a comp or a trend.
- Explain terms like days on market in plain language
- No guarantees about sale price or timeline
FORMAT: 300 to 500 words, bullet points for the comp breakdown.Upload: your CMA template, two past narratives that won the listing, and a current local market summary.
An AI tool will produce fair housing problems unless you tell it not to, because it has read a great deal of old listing copy and old listing copy is full of language that is no longer acceptable. The Fair Housing Act prohibits advertising that indicates a preference or limitation based on race, color, national origin, religion, sex, familial status or disability.
| Category | Avoid | Use instead |
|---|---|---|
| Familial status | "perfect for families", "great for couples", "ideal for singles", "adult living" | Describe the space: "four bedrooms", "large garden", "home office" |
| Race, national origin, demographics | "diverse neighborhood", "safe street", "exclusive", "up and coming" | Describe amenities: "tree-lined", "near two parks", "low traffic" |
| Disability | "walking distance", "steps to", "able-bodied", "no wheelchairs" | "proximity to", "half a mile from"; describe access features factually |
| Religion | "near [place of worship]", "[religion] community" | "near [park, school, shopping]" |
| Sex | "man cave", "she shed", "bachelor pad", "mother-in-law suite" | "bonus room", "studio", "guest suite", "accessory dwelling" |
The rule underneath all of it: describe the property, not the people. Some states protect categories the federal law does not, including source of income, age and veteran status, so check your own state before you write your prompt.
For a respondent with no prior adjudicated violation, the maximum HUD civil penalty is $26,262 per discriminatory housing practice, at 24 CFR 180.671. That figure comes from HUD's 2025 inflation adjustment and is adjusted periodically, so check the regulation rather than quoting this article. Using an AI tool to write the copy does not move the responsibility. Read every description before it goes live.
Pick the one that costs you most. If leads go cold, build the first reply assistant today and test it against the last three inquiries you answered by hand. Compare what it writes to what you wrote, then fix the instructions where it fell short.
Listing descriptions, social captions and review replies work the same way and are not specific to real estate, so they sit in the general guide. If you are not sure which job to start with, the 15-minute AI audit scores where your hours are going.
We last read this through in September 2026. Tools, prices and rules change, so paste the prompt below into any AI assistant you use and ask it to check the parts that date.
I'm reading "AI for Real Estate Agents: 4 Prompts and Fair Housing" by Small Business Elevate, last reviewed 19 September 2026. Please check whether these points still hold today. Use current official sources and give me links with dates. 1. The article says the maximum HUD civil penalty for a first Fair Housing Act violation by a respondent with no prior adjudication is $26,262, under 24 CFR 180.671(a)(1), set by HUD's 2025 adjustment at 90 FR 24748. Is that still the current amount, or has HUD published a newer inflation adjustment? 2. Has HUD or NAR issued any new guidance since September 2026 about advertising language, or about using AI to write listing and marketing copy? 3. The article says ChatGPT, Claude and Gemini all let you save instructions and upload reference files into a custom assistant, and that they train on consumer conversations by default unless you turn it off. Is that still true for each? 4. Have any new state fair housing rules added protected classes beyond the federal seven, or added AI-specific advertising duties, since September 2026? 5. Does NAR or any major MLS now have a written rule about entering client or transaction data into general AI tools? If you cannot confirm something, say "could not verify" rather than guessing. Keep the answer short.
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