Welcome to AutomateRE, your weekly playbook for using AI in real estate.
Big week in AI and Real Estate. Zillow dropped its Q1 earnings Tuesday and buried the number that matters in the shareholder letter: their engineers are now shipping 40% more code per person. They called themselves "rapidly becoming an AI-native company." The platform your leads use to find homes is rebuilding itself around AI faster than most agents are opening their laptop.
This is issue #14. Let's get into it.
Quick Win: A full listing presentation for your top scorer, drafted before you leave the office
Here's the prompt:
You are a top producing listing agent preparing a seller consultation package
for a specific homeowner who is warm but hasn't committed yet.
SELLER PROFILE:
- Name: [SELLER FIRST NAME]
- Property address: [FULL ADDRESS]
- Year purchased: [YEAR]
- Estimated equity range: [e.g. "$280K–$340K"]
- Trigger signal: [e.g. "kid graduating HS, mentioned downsizing in March"]
- Relationship strength: [1–5]
- Last contact date: [YYYY-MM-DD]
MY MARKET:
- City/State/Zip: [YOUR MARKET]
- Current market temperature: [buyer's / seller's / balanced]
- Median days on market: [N days]
- Comps I'm working with:
[Address | Close date | Price | $/sqft | Days on market 2-3 rows]
MY STATS:
- Avg list-to-sale ratio: [e.g. "98.7%"]
- My avg DOM vs. market: [e.g. "18 days vs. 34 market avg"]
- One differentiator: [e.g. "pre-inspection at my cost before we list"]
- My commission rate: [X%]
BUILD THREE THINGS:
1. COMP ANALYSIS
- Table: address, close date, price, $/sqft, beds/baths, DOM
- One sentence per comp: how it relates to their property
- Suggested list price range with one sentence rationale
- One honest pricing risk to flag
2. NET PROCEEDS ESTIMATE
- Estimated sale price (midpoint of range)
- Agent commission, estimated closing costs (1–2%), mortgage payoff if known
- Net to seller: bold this number
- One sentence: what this number means for their next move
3. YOUR THREE PAGE VALUE ADD
- Page 1 Why now: use their trigger signal + current market data.
No pressure. Just math and timing.
- Page 2 How you sell it differently: your specific stats and
one differentiator. No generic "I work hard for my clients."
- Page 3 What happens next: a 30 day timeline from signing
to first showing, 5 specific milestones. Make it feel handled.
TONE: Peer-to-peer. You've done this 200 times. No sales language.
No "I'm excited to help you."
Result:A comp table, a net proceeds number they'll screenshot and show their spouse, and a three-page value-add that makes you the only agent who actually did their homework ready to print or paste into a deck before the appointment.
Industry Intel: AI just moved into the listing appointment itself
Two stories this week land on opposite ends of the same problem. The platforms are getting smarter. Most agents are still walking into listing appointments with the same generic deck they used three years ago. That gap is closing fast, and not in your favor.
Zillow posted 18% revenue growth and said the quiet part out loud
On May 6, Zillow reported $708M in Q1 revenue growing 9x faster than the market it operates in. AI Mode, their conversational search experience, is live in 5% of markets with broader rollout coming. Follow Up Boss is being rebuilt as an AI workflow engine that handles coordination and outreach so agents can focus on judgment and relationships. Their engineers are shipping 40% more code per person. Zillow CEO Jeremy Wacksman told investors: "We are rapidly becoming an AI-native company."
Your move: Zillow is getting smarter about your buyers before you meet them. Your sellers are already getting Zestimates in their inbox. The listing appointment is where you either close the gap or lose the listing. The Quick Win above gives you something the Zestimate never will: comps built around this specific seller's trigger, a net number tied to their actual next move, and a 30-day timeline that makes the process feel handled.
46% of agents say AI has had zero impact on their business a new survey says it's a usability problem
A NAR Technology Survey cited this week found that nearly half of agents report AI has had little to no meaningful impact on their day-to-day work. Brynn Carmody, who launched Her Market Lab on April 13, says the reason is fragmentation: most agents spend their AI time stitching five disconnected tools together instead of running workflows that actually close deals. She burned out at 25 managing thousands of leads across a broken tech stack. Her Market Lab is trying to replace all five subscriptions with one.
Your move: The listing presentation prompt above runs in one tool, one sitting, under five minutes. No integration required. If the bottleneck is complexity, a single well-built prompt beats another subscription every time.
Automate This: AI Listing Presentation Kit
Every week, we help you automate one part of your job. This week: a workflow that builds a full listing presentation for each of your top 7 sphere scores the moment they cross warm.
The problem: Your Sphere Score workflow ran Sunday and flagged three warm contacts. You know you should reach out before anyone else does. But building a real presentation comps pulled from MLS, a net proceeds estimate, your value-add formatted to print takes two hours minimum. So you send a text instead. You book the appointment. Then you scramble the night before with a generic template that doesn't reference anything specific about their situation. You walk in prepared enough, but not prepared like someone who was thinking about their house specifically.
The solution: We built you an automation workflow for n8n:
Your Sphere Score sheet has a "status" column. When you flip a contact from "warm" to "hot," the workflow fires automatically.
It pulls the contact's row: name, address, year purchased, equity estimate, trigger signal, relationship strength.
It hits your MLS connection for the three closest recent solds price, $/sqft, DOM, close date.
It runs everything through the Quick Win prompt above using your saved stats from a settings tab.
It formats the output into a Google Doc, ready to print or export as PDF.
It sends you a Slack or SMS: "Presentation ready for [Name] at [Address] open in Drive."
From "contact just crossed warm" to "print-ready deck" in under four minutes.
Time to set up: 45–60 minutes
Time saved: 90–120 minutes per listing appointment
Want it? Reply to this email with "LISTPITCH" and we'll send you the workflow file + setup guide.
Next week: an AI that writes your full open house debrief buyer interest levels, follow-up priority, and a personalized text for each visitor while you're still locking up.
One more thing: NextAutomation Sphere is live.
We’ve been testing in Beta the community for real estate pros who want to operate with AI, not just talk about it. 10 modules from your first prompt to your first production agent. 31 scored practices, weekly live Q&A with the team, and direct access to the founders. If you've been meaning to get serious about AI this year, this is where you start.
That's it for issue #14. Your top 7 are out there. Show up to the appointment better prepared than anyone else they'll talk to. Reply if you want the workflow. And we'll see you next Tuesday.
- NextAutomation Team
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