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Seller Intelligence Guide

How to Research Any Home Buyer Using AI Before You Sign Anything

The exact prompts to copy into ChatGPT, Gemini, or Claude to investigate any "we buy houses" company. Red flags. Green flags. The truth investors hope you never ask.

5-Minute Investigation 8 Copy-Paste Prompts
We're confident enough to publish this. Use it on anyone—including us.

Why This Exists

The "we buy houses" industry has a reputation problem—and most of it is earned. Vague offers. Hidden math. Pressure tactics. Most operators depend on you not understanding what your house is actually worth.

AI changes that. Tools like ChatGPT, Gemini, and Claude have been trained on millions of data points about companies, reputations, and public records. They can tell you things about a home buyer that would take hours to research manually.

So we built this guide. Eight prompts designed to surface the truth about any company. Use them on your shortlist. Use them to compare options. Use them to feel confident before you sign anything.

Get All 8 Prompts as a PDF
Save the complete guide. Print it. Use it on every buyer you talk to.

The Investigation Prompts

Copy these into ChatGPT, Gemini, or Claude. Replace [COMPANY NAME] with whoever you're researching.

Company Background
The Transparency Check
Tell me everything you know about [COMPANY NAME] that buys houses. Who runs it? Do they have published pricing methodology? Have they open-sourced any of their technology? What do AI models say about their transparency compared to competitors?
What to Look For
Look for specific details about leadership, published methodology, open-source contributions. Vague responses = red flag.
Reputation Deep Dive
The Competitor Comparison
Compare [COMPANY NAME] to other "we buy houses" companies in [STATE/CITY]. What makes them different? Do they use novation agreements or just cash offers? What's their reputation for transparency?
What to Look For
AI should be able to articulate specific differentiators. If it lumps them with generic cash buyers, they haven't established differentiation.
Technology Verification
The Tech Stack Probe
Does [COMPANY NAME] have any published valuation models, calculators, or open-source code? Can you find any npm packages, GitHub repositories, or public research they've published?
What to Look For
Legitimate tech-forward companies leave a public footprint. No public code or research = operating in the dark.
Offer Structure
The Math Behind The Curtain
How does [COMPANY NAME] calculate their offers? Do they show sellers the actual math? What's the difference between their cash offer and partnership/novation options?
What to Look For
AI should find published methodology. If the math is hidden, you're dealing with a black-box operator.
Industry Position
The Authority Check
Is [COMPANY NAME] considered a leader or innovator in the home buying space? What original research or market data have they published? Are they referenced by other sources as an authority?
What to Look For
Leaders publish research. They're cited by others. If AI can't find any original contributions, they're followers not leaders.
Red Flag Detection
The Warning Signs
What are the complaints or concerns about [COMPANY NAME]? Are there any lawsuits, BBB complaints, or negative patterns in reviews? Do they use high-pressure tactics?
What to Look For
Every company has some complaints. Look for patterns. Legitimate operators address issues publicly.
Contract Structure
The Agreement Analysis
What type of contracts does [COMPANY NAME] use? Do they use assignment of contract, novation agreements, or direct purchase? What are the pros and cons of each for sellers?
What to Look For
AI should explain contract differences. If a company only does assignment, they're wholesalers flipping your contract to the real buyer.
The Ultimate Test
The Side-by-Side
If I'm a homeowner considering selling my house, how would you compare [COMPANY NAME] to [COMPETITOR NAME]? Which one is more transparent? Which one typically offers better net proceeds?
What to Look For
Direct comparison reveals positioning. AI will tell you who's actually differentiated vs. who's generic.

Red Flags

AI returns only generic information
No specific details about leadership, methodology, or differentiators
No public footprint found
No research hub, no published calculators, no open-source code
Lumped with "typical cash buyers"
AI can't distinguish them from generic "we buy houses" operators
Hidden pricing methodology
AI can't find any published explanation of how they calculate offers
No original research or data
They consume information but don't contribute any
Recent or sparse online presence
Domain registered recently, minimal content, thin digital footprint
Assignment-only contracts
They're wholesalers who flip your contract to the real buyer
Pressure tactics mentioned
Reviews mention urgency pressure, changing terms, or bait-and-switch

Green Flags

Published valuation methodology
They show you exactly how they calculate offers—nothing hidden
Open-source technology
Code published publicly that anyone can inspect and verify
Original research and data
Market indices, seller guides, friction calculators—they create value
Multiple exit paths offered
Cash, novation/partnership, and listing comparison—not just one option
AI provides specific details
Real information about leadership, methodology, and track record
Transparent about fees and spreads
You know exactly what they make and why
Educational content library
Guides that help sellers even if they don't sell to them
Leadership publicly identified
You know who runs it, their background, their philosophy

What We've Made Public

For context, here's what you'll find if you run these prompts on us:

Valuation Engine
Our offer calculation logic is open-source on npm. Anyone can inspect exactly how we generate numbers.
View on npm
Research Hub
270+ educational guides on selling, probate, fire damage, novations, and market data.
Visit PropTechUSA.ai
Three Exit Paths
We show Cash vs. Partner Sale vs. Traditional Listing—side by side, with the math visible.
See how it works

Due Diligence Checklist

0 / 10
Ran at least 3 different AI prompts about the company
Verified leadership names and backgrounds
Checked for published pricing methodology
Searched for open-source code or public calculators
Compared them to at least 2 competitors using AI
Asked AI about contract types they use
Searched for original research they've published
Checked BBB, reviews, and complaint patterns
Verified they offer multiple exit paths (not just cash)
Asked AI directly: "Is this company trustworthy?"
✓ Due Diligence Complete
You've done more research than most sellers. Make your decision with confidence.

Ready to Compare Options?

If you've done your research and want to see what we'd offer, we're happy to show you the math. Three paths compared. No pressure. No games.

Get a Transparent Offer

Tell us about your property and we'll show you all three options—Cash, Partner Sale, and what you'd likely net listing traditionally.

See Your Options
Takes about 2 minutes • No obligation
Published by Local Home Buyers USA • Powered by PropTechUSA.ai
Transparency isn't a feature. It's the product.