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AI use cases for real estate agents

How agents are actually using AI right now.

A running list of real uses, sorted by the job they help with. Each one has a starter prompt you can copy and a link to where the idea came from. Some come straight from what I teach inside AI Builders. Free, and new ones get added as we find them. Want the tools behind them? See the AI tools directory.

New to AI? Start here

New to AI? Start with these three.

Three uses I'd start any agent on. Pick one and try it this week. Once it's working for you, come back for the next one.

Do #1 this week

Get free access to AI Builders. The 3-Day Build Challenge walks you through building the weekly seller update step by step, and Friday Office Hours is there when you get stuck.

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ListingsFrom the AI Builders training

Weekly seller update in about five minutes

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Paste this week's showings, feedback, portal views and marketing. Claude drafts a short report and the cover email in your voice, and asks you when a number is missing instead of guessing. It's the first skill agents build in the AI Builders 3-Day Build Challenge.

"About five minutes" a week is the target Mike sets in the Build Challenge, once the skill is built.

Starter prompt
Read my about-me profile and this listing's details. Here are this week's numbers:

[PASTE: portal views, showings completed and upcoming, open house traffic, buyer feedback, marketing you ran, next week's plan]

Draft (1) a short weekly seller update with four sections: this week's snapshot, online activity, showings and feedback, marketing done and next week's plan. (2) A short cover email in my voice that starts with "Hi [first name],". Use only the numbers I gave you. If something required is missing, ask me before you write.
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Source: AI Builders training and Friday Office Hours

ListingsFrom the AI Builders training

MLS remarks at the exact character limit

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Claude writes public remarks from the listing folder, then a small script counts the characters and flags banned words, so nobody is counting to 2,000 by eye. Fair housing rules live in the skill, and it won't write a feature that isn't in the folder.

Claude CoworkPython checker
Starter prompt
Read this listing's CONTEXT.md, the MLS sheet and the photos. Write public MLS remarks of exactly [CHARACTER LIMIT] characters. Use only facts from the folder. If something I'd want mentioned is missing, ask me. Describe the property, never the buyer (fair housing). Don't use "stunning," "nestled," "must-see" or "dream home." Count the characters with code, not by eye, and show me the count with the draft.
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Source: AI Builders training and Friday Office Hours

Listings

Listing copy that doesn't read like AI wrote it

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Agents in this r/realtors thread say the brief matters more than the tool. Give it one listing you liked as an example, set a word count, tell it which words it can't use, and keep the hard numbers out so it can't invent them.

Starter prompt
Here is a listing description I wrote and liked: [PASTE EXAMPLE]. Match its tone. Write a new one for this property using only these notes: [PASTE WALKTHROUGH NOTES]. About [WORD COUNT] words. Lead with [STRONGEST REAL FEATURE]. Don't use: stunning, nestled, must-see, boasts, dream home. Leave out square footage, taxes and HOA fees; I'll add the verified numbers myself. Describe the home, not who should live in it.
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Source: r/realtors: How to use AI for listings without them sounding like every other robotic listing

ListingsFrom the AI Builders training

Listing presentation built from the consult transcript

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Record the listing consult with a note-taker, then drop the transcript, comps and tax card into the listing folder. Claude builds the pricing and marketing plan into a locked, branded template, so the design never drifts.

Mike's figure from training: about 15 to 20 minutes instead of one to two hours, once the template and branding are locked.

Starter prompt
Read the consult transcript, the comps and the tax card in this listing folder. Build the listing presentation using my presentation skill and template. Pull the seller's goals, timeline and concerns from the transcript in their own words. Use only comps and numbers that are in the folder. Don't suggest a list price; leave a clearly marked spot for mine. List anything you needed and couldn't find.
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Source: AI Builders training and Friday Office Hours

ListingsFrom the AI Builders training

Virtually declutter listing photos

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

A short image skill that acts like a cleaning crew: makes beds, clears counters, removes clutter. Hard rule: it never moves doors, windows, fixtures or anything architectural. Tag the photos as virtually decluttered and follow your MLS's disclosure rules.

Mike's figure from training: about $7 to $10 for 30 images, versus about $100 to $125 through a retouching vendor.

Starter prompt
You are a cleaning crew, not a designer. For each photo in this folder: make the beds, clear the counters, remove personal items and loose clutter. Never move, add or remove doors, windows, walls, fixtures, flooring, appliances or anything architectural. Never change the view, the lighting direction or the condition of anything. Save each edit next to the original with "-decluttered" in the file name and a small "Virtually decluttered" watermark.
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Source: AI Builders training and Friday Office Hours. Also see: NorthstarMLS: Guidelines for virtual staging and AI-enhanced listing photos

Lead gen & prospectingFrom the AI Builders training

Expired listing pipeline that doesn't depend on cold calls

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

An agent pulls the last 48 hours of MLS status changes, runs a batch skip trace, sends a ringless voicemail, then a compliant cold email two days later. Replies get sorted, and interested names land on a small dashboard for your team to call.

Mike's figure from training: roughly $70 a month for the MLS pull and skip trace, replacing a dialer stack that ran about $300 a month. One warning he gives: don't automate lookups in a safety tool like Forewarn. That's not skip tracing, and it's a terms-of-service risk.

Starter prompt
Every morning: pull expired and withdrawn listings from the last 48 hours in [MLS AREA]. Send the list to batch skip trace. Queue a ringless voicemail using my recorded message. 48 hours later, send the cold email below with my brokerage disclosure and an opt-out line. Sort every reply as interested, not now, or remove me. Put interested names on the dashboard with a one-line summary. Never contact anyone on the do-not-call or opt-out list.
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Source: AI Builders training and Friday Office Hours

Lead gen & prospecting

A respectful first message to an expired or FSBO seller

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Drafts a short call opener, text or email that acknowledges the seller's situation, gives one real reason you're reaching out, and makes one small ask. It's told not to invent sold comps or stats, and not to imply the seller made a mistake.

Starter prompt
Draft a short outreach message for a real estate prospect.
Type: [Expired listing OR FSBO]
Property: [brief description]
My angle: [one true thing I bring, e.g. a recent sale nearby]
Channel: [call opener / text / email]
Tone: warm, low-pressure.
Open by acknowledging their situation without pity. Give one specific reason I'm reaching out. Make one small ask. Don't pressure, don't promise a price, and use only the facts I gave you.
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Source: Knowledgeville: Expired and FSBO scripts

Lead gen & prospecting

Find rent-by-owner landlords on Marketplace and ask if they'd sell

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Muse finds For Rent By Owner listings on Facebook Marketplace, then helps you design an outreach campaign asking each owner if they'd sell for the right price.

Starter prompt
Search Facebook Marketplace rentals in [TOWN OR AREA] for homes listed for rent by the owner, not by a property manager or agent. Give me a list with the address or area, rent, beds and baths, and a link to each listing. Then draft a short, friendly first message I can send each owner asking if they'd ever be open to selling for the right price. Keep it low-pressure and in my voice. Don't send anything; show me the list and the drafts first.
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Source: Mike's own workflow

Lead gen & prospecting

Every new lead lands in the CRM and gets routed

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

Zapier pushes leads from Facebook lead ads, website forms and other sources into Follow Up Boss, then pings the right agent when something changes. Start with one Zap, confirm it logs correctly, then add the next.

Starter prompt
I use Follow Up Boss and get leads from [LIST SOURCES]. Map out the Zapier automations I need so every lead from every source lands in FUB within minutes with the right source tag, gets assigned by [AREA / PRICE / ROUND ROBIN], and triggers a notification to the assigned agent. Tell me which sources already have a native FUB integration so I don't double-build them. Give me the order to build them in, one at a time.
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Source: Follow Up Ace: The ultimate guide to Zapier for Follow Up Boss

Follow-up & nurture

Sort your Facebook friends into real categories

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Have Muse go through your Facebook contacts and group them into categories like past clients, sphere, agents and vendors, so you know who to reach out to.

Starter prompt
Go through my Facebook friends list and sort everyone into these categories: past clients, sphere (friends and family), other agents, vendors and lenders, and unknown. Use only what's on their profile and our past messages. Give me a table with name, category and the reason you picked it. Put anyone you're unsure about in unknown instead of guessing. Don't message anyone.
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Source: Mike's own workflow

Follow-up & nurtureFrom the AI Builders training

Make the call first, then let AI write the follow-up

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Don't burn time researching before you dial. After the call, the note-taker transcript goes into the project and Claude drafts the follow-up in your voice, with the details the person actually told you. The call is the work. The AI is the paper.

Starter prompt
Here's the transcript from my call with [NAME]: [PASTE OR PULL FROM GRANOLA]. Draft a follow-up email (or text, if it fits better) in my voice. Reference two specific things they told me. Confirm the next step we agreed on and when. Keep it under 120 words. No "just checking in" and no "don't hesitate to reach out." Then add a one-line note for this contact's CONTEXT file.
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Source: AI Builders training and Friday Office Hours

Follow-up & nurture

Wake up the leads sitting dead in your CRM

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

One short text to anyone untouched for 60+ days, asking if they're still looking or if you should close their file. A follow-up with a relevant listing goes out three days later. AI sorts replies, and interested people go back to the agent as hot leads with a summary.

The poster reports 14 appointments booked in the first week for the agent they built it for. That's their number, from their post.

Starter prompt
Write a two-message reactivation sequence for buyer leads who haven't heard from me in 60+ days. Message 1: one or two sentences asking if they're still looking or if I should close their file. Message 2 (3 days later): one relevant listing from [AREA / PRICE RANGE] and one question. Then write instructions for sorting replies into interested, not interested, or has a question, and the one-line note I want logged for each.
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Source: r/AI_Agents: Stop building agents that find new leads. Build the one that revives dead ones.

Follow-up & nurture

Open house follow-up inside the first hour

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

Swap the paper sign-in for a QR code that opens a short form, push every sign-in into the CRM, and send a different first text to buyers, neighbors and agents. The build in the source uses n8n, but Zapier works the same way.

Starter prompt
Write three first-hour texts for open house visitors at [ADDRESS]: one for buyers without an agent, one for neighbors, one for agents who came through. Each under 300 characters, signed by me, with one easy question to answer. Then write the end-of-day email for the buyer group. Don't promise anything about the price or the seller.
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Source: Entropy: Open house follow-up automation, a step-by-step build for listing agents

Follow-up & nurture

Past-client touches with something real in them

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Agents in this r/realtors thread describe 4 to 6 touches a year: an annual home equity update, a local market snapshot, a homeowner tip. AI drafts each one from that client's file so it isn't another generic "checking in."

Starter prompt
Here's what I know about [CLIENT]: closed on [DATE] at [ADDRESS], [FAMILY / LIFE NOTES FROM CRM]. Here's this quarter's data for their neighborhood: [PASTE VERIFIED NUMBERS]. Draft a short, friendly note in my voice: one line about their home's market, one useful homeowner tip for this season, and one personal line from my notes. No referral ask in this one.
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Source: r/realtors: For agents getting referrals from past clients, what's your system?

Transaction coordination

Contract deadlines straight onto your calendar

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Claude Cowork finds the executed contract in your inbox, reads it, works out the option period, financing deadline and closing date, and puts them on Google Calendar. You still check every date against the contract before you rely on it.

Starter prompt
Find every contract and addendum for [ADDRESS] in my inbox. Read them and list each deadline: inspection, financing, appraisal, earnest money, option or due diligence period, and closing, with the clause you got it from. Show me the list first. After I confirm, add each one to my Google Calendar with the address in the title.
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Source: Real Estate AI Society: Claude Cowork for real estate agents, a complete beginner's guide

Transaction coordination

Status emails to lender, title and clients from saved templates

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Build reusable prompts for the emails you write on every deal: the day-3 lender check-in, the inspection-resolution update, the pre-closing summary to title. The model drafts from the deal details, you read it and send.

ClaudeYour transaction platform
Starter prompt
Deal details: [PASTE KEY DATES, PARTIES, STATUS]. Draft the [DAY-3 LENDER CHECK-IN / INSPECTION-RESOLUTION UPDATE / PRE-CLOSING SUMMARY TO TITLE]. Keep it short and specific to this deal. List any date or detail you weren't sure about at the bottom so I can check it before I send.
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Source: Coach Emily Terrell: How to use AI for real estate transaction coordination

Transaction coordination

Inspection report to repair request prep

Skill: BeginnerSetup: Copy a promptCost: Free plan works

AI turns the inspection findings into an issue list tied back to the report pages, separates what the inspector said from what the buyer is worried about, and drafts questions for specialists. The buyer and agent still decide what to ask for.

Starter prompt
Here's the inspection report: [ATTACH]. Build an issue list: item, what the report says (with page number), system, and whether it needs a specialist to look at it. Keep the inspector's words separate from any assumption. Don't estimate costs and don't recommend what to request. Then list the questions I should ask the buyer to set priorities.
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Source: BrokerCanvas: How real estate agents can use AI to prepare repair requests after an inspection

Transaction coordination

Side-by-side offer comparison and draft net sheet

Skill: BeginnerSetup: Copy a promptCost: Paid plan needed

When several offers come in, AI pulls price, earnest money, financing, contingencies and escalation terms out of each PDF into one grid, plus a draft seller net sheet. You check every figure and confirm payoff and closing costs with title.

Starter prompt
I'm attaching [NUMBER] offers on [ADDRESS]. Build a side-by-side table: price, earnest money, financing type, down payment, contingencies with deadlines, escalation terms, closing date, seller concessions, anything unusual. Flag the risk items. Then draft a net sheet for each using these costs: [PASTE PAYOFF AND COSTS FROM TITLE]. Mark every number you couldn't find in the documents.
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Source: The AI Integration Hub: AI multiple offer comparison and seller net sheets

Transaction coordinationFrom the AI Builders training

An inbox watcher that files deal mail into the right folder

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

A few times a day, AI checks the inbox for showings, feedback, offers and documents, matches each one to the right listing or buyer folder, and logs it in that folder's CONTEXT.md. Weekly updates fill themselves. Time-sensitive mail like offers can trigger right away instead of waiting for the next check.

Starter prompt
Check my inbox for anything that arrived since the last run. For each message about a listing or buyer we have a folder for, save a short text summary into that folder and add one dated line to its CONTEXT.md (who, what, any deadline). Don't reply to anyone. At the end, give me a digest of what you filed and anything you couldn't match.
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Source: AI Builders training and Friday Office Hours

Social & video

A month of posts planned in one sitting

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Ask for a 30-day calendar mixing tips, market updates, newsletter clips and relationship posts, then take it into Canva and build the posts from your own photos.

Starter prompt
Create a 30-day Instagram content calendar for a real estate agent in [MARKET], one post per day. Mix real estate tips, market updates, clips from my newsletter, behind-the-scenes and relationship posts that keep me top of mind with past clients and friends. For each day give the topic, format (reel, carousel, photo), a one-line hook and a short caption in my voice. Don't include any market numbers; mark where I should add real ones.
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Source: The Real Estate Trainer (Icenhower Coaching): AI social media content calendar for real estate agents

Social & video

One long video into a stack of short clips

Skill: IntermediateSetup: One-time setupCost: Check pricing

Upload a market update or webinar to Opus Clip, pick the strongest clips, then add your logo, captions and call to action in Canva and resize for each platform.

Starter prompt
Here's the transcript of my [MARKET UPDATE / WEBINAR]: [PASTE]. Find the 6 moments that would work as 30 to 60 second vertical clips on their own. For each, give the start and end lines, a 5-word on-screen hook, and a one-sentence caption. Skip anything that depends on a chart people can't see.
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Source: adworkflow.ai: Turn one brand video into 20 short-form ad clips

Social & videoFrom the AI Builders training

A single-property website you can update while the seller watches

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

Claude builds the property site from the listing folder and deploys it on Netlify. Need an open house page or a new banner? Ask in chat, preview it, and push it live without touching a file.

Starter prompt
Build a single-property website for this listing from the folder: photos, MLS remarks, features and my contact info. Use my property website template. Build it as a preview first and show me before anything goes live. Then add an open house page for [DATE, TIME] with a sign-in form.
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Source: AI Builders training and Friday Office Hours

Recruiting & team

Recruiting outreach that doesn't lead with the split

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Prompts for each stage of recruiting: a candidate brief from your raw notes, a first-touch email that opens with one specific reason you fit where they're headed, follow-ups and a 90-day onboarding checklist. Every one is told not to invent facts.

Starter prompt
Write a 130-word email to [AGENT NAME], who closed [X] transactions last year at [CURRENT BROKERAGE] and works mostly in [MARKET]. Don't lead with compensation. Lead with one specific reason we fit where their career is heading: [DIFFERENTIATOR]. Mention their recent success plainly, not as flattery. End with a low-pressure ask for a 20-minute confidential conversation. No hype, no exclamation points.
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Source: Realty AI: 26 AI prompts for real estate recruiters

Recruiting & team

Turn a screen recording into a team SOP

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Record yourself doing the task once while you explain it, copy the transcript, and have AI organize it into steps, checks and handoffs. The person who owns the process reviews it, and a teammate tests it before it goes in the playbook.

Starter prompt
Here's the transcript of a recording where I walk through [TASK]: [PASTE]. Turn it into a standard operating procedure: purpose, what you need before starting, numbered steps, decision points, who hands off to whom, common mistakes, and a short checklist at the end. Only use what's in the transcript. Mark anywhere I was unclear so I can fix it.
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Source: Elite Agent: Create a real estate SOP from a video transcript with AI

Recruiting & team

Practice objections out loud with voice mode

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Set up a seller or buyer persona, then talk it through in ChatGPT voice mode. Ask it to push back the way real people do and save the coaching for a debrief at the end.

Starter prompt
Role-play a homeowner whose listing expired last week with another agent. You're frustrated and a little skeptical of agents. Push back with real objections: commission, "we'll wait until spring," "the last agent promised the same thing." Don't coach me during the conversation. When I say "debrief," tell me where I lost you and what to try next time.
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Source: PROMPT This: Practice objection handling with ChatGPT

Recruiting & teamFrom the AI Builders training

One set of skills so the whole team ships the same work

Skill: IntermediateSetup: One-time setupCost: Paid plan needed

Package the listing presentation, seller update and open house flyer as skills in a shared plugin, so every agent on the team gets the same structure and checks. Set it up so each agent adds their own logo, colors and team name once.

Starter prompt
Look at how I built [DELIVERABLE] in this project. Turn it into a reusable skill a teammate could run in their own listing folder: list the inputs it needs, the sections in order, the rules it has to follow, and when to stop and ask. Pull out my branding into a short setup step so each agent sets their own logo, colors and name once.
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Source: AI Builders training and Friday Office Hours

Market dataFrom the AI Builders training

Weekly market newsletter from what you already captured

Skill: AdvancedSetup: Build a workflowCost: Paid plan needed

A one-time setup interview, then a weekly run that pulls from your meeting notes and the links and listings you dropped in during the week, writes the newsletter, runs an anti-AI editing pass, suggests subject lines and waits for your approval.

Starter prompt
Build this week's market newsletter for my sphere. Use only what's in this week's newsletter inbox, my meeting notes and the market numbers I paste here: [PASTE VERIFIED NUMBERS]. Three short sections: what happened, what it means for owners, one listing or story worth a look. Run my writing-style check before you show me. Give me three subject lines. Don't push it anywhere until I approve.
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Source: AI Builders training and Friday Office Hours

Market data

A CMA narrative sellers can follow

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Give the AI your comps, the market context and the price you already picked, and it explains why the subject sits between the comps and what to expect. It writes the reasoning. It never picks the number.

Starter prompt
Write a CMA narrative for a listing presentation.
Subject: [BEDS/BATHS, SQ FT, CONDITION, LOT]
Comps: [ADDRESS, SOLD PRICE, SQ FT, CONDITION, DAYS AGO] x3
Market context: [MEDIAN DOM, LIST-TO-SALE RATIO, MONTHS OF INVENTORY]
My recommended list price: [PRICE]
Three sections: the comps, the market, the pricing strategy. Explain where the subject falls between the comps and why. Warm, plain, not salesy. 400 words max. Use only these numbers.
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Source: The AI Career Lab: How to write a CMA narrative with AI

Market data

A morning market brief from X and the web

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Grok searches X for what local agents, lenders, builders and reporters are saying, checks it against the wider web, and labels each item verified, commentary or unconfirmed. Run it by hand for a few mornings, then put it on a schedule with an agent like Hermes.

Starter prompt
Create a real estate morning brief for [CITY / COUNTIES] covering the last 24 hours. Search X and the web. Cover resale, new construction, rates, inventory, price cuts, local jobs, development, zoning, taxes and insurance. Sort findings into: verified (with links), X commentary from credible local accounts, and unconfirmed claims. Add three takeaways for agents and two client talking points. Include dates and sources. Don't turn one post into a trend, and leave out any number you can't verify.
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Source: The Often Letter: Let's build your AI real estate market briefer

Market data

A neighborhood brain in NotebookLM

Skill: BeginnerSetup: Copy a promptCost: Free plan works

Upload sold comps, school reports, HOA documents, zoning and local news for your farm area, and NotebookLM answers questions from those sources with citations. The audio overview can turn it into a short neighborhood update for social.

Starter prompt
Using only the sources in this notebook, create a one-page guide to [NEIGHBORHOOD]: recent sales and price per square foot, HOA fees and rules, development or road projects in the news, and what's within a short drive. Cite the source for every number. If something isn't in the sources, say so instead of filling it in.
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Source: RealEstateRankIQ: NotebookLM for real estate agents, build a neighborhood brain

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Ideas marked "From the AI Builders training" come from what I teach. The rest link to the public post, video or article where we found them; any numbers in those belong to the source, not to us. Check AI output before it reaches a client, follow your MLS and fair housing rules, and keep a person on anything that gets sent.

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