Real estate · Do this yourself

Let the AI read real estate enquiries and let rules do the scoring.

✅ Shared on GitHub; commenters favor the hybrid approach.

Who it’s for

Real estate agents, investors, property managers and renters or buyers.

Adapt it to your industry

  • Agent: listing descriptions, social posts and follow-up emails
  • Property manager: tenant question answers and maintenance logs
  • Investor: a quick deal check using public numbers

Step by step

  1. Pick one task: a listing write-up, a buyer follow-up, or a property comparison.
  2. Open ChatGPT, Claude or Grok and paste the prompt below with the property details (no private client data).
  3. Ask for 3 versions in different tones and pick the best.
  4. Check every fact (size, price, features) against your listing; AI can get numbers wrong.
  5. Save your best prompt as a template for the next listing.
  6. Track which posts or emails get replies, and ask the AI to improve the weak ones.

Ready-to-copy prompt

Extract {budget, location, timeline_months, intent} as JSON from this enquiry. Do not score it.

Start with AI

Opens the AI with this guide and the prompt filled in.

Cost
$0–20/month (free tiers or one AI plan)Our estimate
Time
1–2 weekendsOur estimate

How to make money from it

Pricing idea: If you help other agents, charge per listing package (for example $50–200) or a monthly fee.

Finding your first 10 customers

  • Offer free listing write-ups to 3 agents in your office.
  • Share before/after examples on LinkedIn or Instagram.
  • Ask your brokerage to share it with the team.

Ideas, not promises. Results vary.

Details: source, numbers and tags

What they did

It extracts budget, location, timeline and intent, scores and routes in n8n, matches properties, writes follow-ups, notifies the sales team on WhatsApp and nurtures low-intent leads.

How it went

Shared on GitHub; commenters favor the hybrid approach.

Worth knowing

Keeping weights in n8n means a model change will not silently change scores.

Difficulty
IntermediateOur rating
Time to build
Not reportedOur estimate
Monthly cost
Not reported
Revenue
Not reportedWe only show revenue the source states
Engagement
No public countThe source shows no number

Original builder recipe

  • n8n
  • OpenAI API
  • WhatsApp
  • Google Sheets
  1. Connect listings, calendar and messaging.
  2. Let the agent handle routine questions and scheduling.
  3. Keep a human on negotiations and compliance.
  4. Log every interaction.

Open the repo ↗ (opens in new tab)

Tags

Read the original

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