Oct 2 • General discussion
How I Use ChatGPT: Building Custom GPTs to Run My Real Estate Business
If you’re an agent, team lead, or creator, the fastest way to get leverage from AI is by creating Custom GPTs around your repeatable workflows. Below are the exact ones I use (or am building) and a copy-paste spec so you can clone them for your market.
Why Custom GPTs (vs one-off prompts)?
- Consistency: Same tone, formatting, and deliverables every time.
- Speed: Replaces 10 tabs + manual copy/paste with one guided chat.
- Quality Control: Guardrails prevent “hallucinations,” keep outputs on-brand, and force checklists.
- Trainable: Anyone on your team can get 80–90% of your quality without shadowing you for months.
My Custom GPT Stack (real examples)
1) Home Tour Itinerary GPT (Client-Ready with Maps)
What it does: Builds a showing route with drive times, price/ft², DOM, schools, flood note, lot size, plus buyer notes + rating sheets. Exports a branded printable PDF for the binder and a shareable version for the car.Inputs: Budget, areas, must-haves, tour date/time, 5–8 MLS links (or addresses).Outputs: Google Maps route link, agenda, one-pager per home, quick comps, and a rating template.
2) CMA + Offer Strategy GPT
What it does: Produces a pricing band, absorption snapshot, top 3–5 comps with bullet takeaway, and an offer play (price, terms, concessions, timeline).Guardrails: Flags outlier comps, requires explanation for adjustments, and adds “if-this-then-that” counter moves.
3) Listing Launch SOP GPT (Serhant-style polish, Brad McCallum video flow)
What it does: Auto-generates your full launch plan: photos, reels/shorts scripts, YouTube long-form outline, thumbnail ideas, MLS description, email + text drips, open house kit, and a 7-day content calendar.Bonus: Produces a “Feature–Benefit–Story” matrix so your marketing hits emotion + data.
4) Open House Ops GPT (Lead → Appointment)
What it does: Creates sign-in sheet questions, a 3-text follow-up ladder, value-driven talking points, and a fast “What’s your move?” decision tree after the event.
5) Inspection & Mold Interpreter GPT (Accuracy-First)
What it does: Turns reports/lab results into client-friendly summaries with risk levels, safety items, repair buckets, and vendor talk-tracks—no speculation, just clear next steps.
6) Luxury Listing Coach GPT
What it does: Gives power language for on-market price improvements, high-end feature phrasing, objection handling, and side-by-side MLS vs Auction positioning.
7) Client Message Polisher GPT (My Voice)
What it does: Rewrites texts/emails in my tone—confident, warm, consultative—adding gentle urgency and clear next steps.
8) “Logan Loves Learning” Content Machine
What it does: Generates hooks, outlines, and CTAs for Shorts/YouTube, then repurposes each video into a post, email, and caption—with timestamped B-roll cues.
How to Build One (10-Minute Blueprint)
- Pick a workflow you repeat weekly (CMA, listing launch, tour day).
- Define the deliverable (PDF one-pager, email, checklist, CSV).
- Write the briefing:
- Inputs form: “Ask me for: price range, areas, timing, links/addresses, constraints (FHA/VA, flood, HOA).”
- Checklists: Embed your SOP so outputs don’t miss steps (e.g., “Include 3 pricing scenarios, risk notes, and next steps”).
- Guardrails: “Never fabricate MLS data. Summarize sources. Provide disclaimers when needed.”
- Output format: “Return: (1) client-facing summary, (2) internal notes, (3) copy-paste script, (4) downloadable table if applicable.”
- Test + iterate: Feed it a real case. If any step was manual, add it to the instructions.
Copy-Paste Starter Spec (steal this)
System Instructions (put in your Custom GPT “Instructions”):
You are a real-estate operations assistant for The Pro20Five Group (Real Broker, Nashville). Tone is confident, warm, and consultative.Priorities: accuracy, clarity, client-first.Always ask for missing inputs before proceeding.Never invent data—clearly mark “Unknown” with a suggested way to verify.Always produce a client-facing version and an internal version with talking points and next steps.When comparing options, use simple math tables and bold the recommendation with a one-sentence “why.”
Required Inputs (first message to user):
- Goal (buy/sell/listing/ops)
- Price range + financing
- Areas + must-haves / deal-breakers
- Links/addresses
- Deadline / timeline
Output Template (what the GPT must return):
- Executive Summary (client-ready) — 5–7 bullets
- Key Data — quick table (price/ft², DOM, schools note, tax/HOA, flood)
- Options & Math — 2–3 scenarios (clear monthly deltas)
- Risks / Watchouts — concise list with “verify by ___”
- Recommended Move — bold one-liner
- Copy-Paste Assets — MLS description | email | 3-text follow-up ladder
- Attachments — CSV/markdown tables for print/PDF
Prompts I Actually Use (paste into your GPT)
Tour Builder:“Create a Saturday tour from 10am–1pm for these homes: [links]. Budget $550–$625k, avoid flood zones, prefer fenced yard + garage. Output: route link, agenda with drive times, one-pager per home (price/ft², DOM, school rating, taxes/HOA, flood note), and a printable rating sheet.”
CMA + Offer Strategy:“Subject is 3/2, ~1,850 sf in [area]. Build a price band using the 5 closest comps last 6 months (+/-15% size, +/-0.5 mi). Flag outliers. Then write my offer plan at 3 price points with terms and a ‘why now’ message to the listing agent.”
Listing Launch:“Launch plan for [address] on [date]. Style: Ryan Serhant polish, Brad McCallum video cadence. Deliver: MLS description (1200 chars), 60-sec Reel script, Long-form YT outline with hook + B-roll cues, 7-day content calendar, email to my list, 3-text sequence for sign-ins.”
Inspection/Mold Summary (accuracy-first):“Summarize key safety/function issues, rank severity (High/Med/Low), list recommended vendors, and create a repair-credit strategy. If anything is uncertain, label it and propose verification steps.”
Measuring ROI (so you know it’s working)
- Hours saved per task (target: 50–80%).
- Time-to-first-draft (target: <5 minutes).
- Appointments set per open house (target: +1–2).
- Listing-ready package turnaround (target: same day).
- Client satisfaction (fewer “can you simplify?” replies).
0
0 comments
How I Use ChatGPT: Building Custom GPTs to Run My Real Estate Business
powered by
skool.com/the-ai-agent-academy-3894
The AI Realtor Academy helps agents master modern marketing & operations with simple, repeatable AI systems & practical AI workflows you can use today
Suggested communities
Powered by