How We Actually Find Gold: Our Research Stack That Eliminates Bad Ground
- Mark Hollon
- 5 days ago
- 3 min read

Stop Guessing. Start Stacking the Odds.
Most gold prospectors rely on instinct. Pick a spot. Dig. Hope.
At Hollon Gold, we do it differently. We use a layered research system—a stack of tools and data sources—to increase our odds of finding gold before we ever step into the field. The goal isn’t just to find gold. It’s to eliminate bad ground before wasting time on it. This is the foundation behind everything we do: The good, the bad, and the muddy.
🎥 Watch the Full Breakdown
What Is a “Research Stack” for Gold Prospecting?
No single tool will find gold for you. But when you combine the right tools—each filling a different gap—you start to see patterns others miss.
Our stack looks like this:
Google Earth Pro
LiDAR (terrain analysis)
AI tools like ChatGPT, Claude, and Grok
CalTopo
onX Hunt
United States Geological Survey maps and data
Historical mining records and books
Each one answers a different question. Together, they give you a much clearer picture of where gold actually is—and where it isn’t.
Step 1: Start With Google Earth Pro (The Big Picture)
This is where everything begins.
We use it to:
Identify river bends and gravel bars
Spot access routes
Look for signs of past mining activity
Narrow down broad areas worth investigating
But here’s the truth: Google Earth gets you in the ballpark… not on the gold.
It’s a starting point, not a decision-maker.
Step 2: Use LiDAR to Find What You Can’t See
LiDAR is where things get interesting. It strips away vegetation and reveals:
Bench deposits (old river levels)
Paleochannels (ancient river paths)
Subtle terrain features are invisible to the eye
This is where you start identifying:👉 Where gold used to travel👉 Where it likely settled over time. Most prospectors never go this deep—which is why they miss it.
LiDAR does not find gold; it's just another tool
Step 3: Use AI Tools to Accelerate Research
We use tools like ChatGPT, Claude, and Grok to:
Analyze terrain patterns
Cross-reference geological data
Ask better questions about gold deposition
Speed up what used to take hours of research
AI doesn’t replace experience—but it helps you:👉 See patterns faster👉 Validate ideas👉 Eliminate weak assumptions
Step 4: Layer in CalTopo and onX Hunt
Now we refine even further.
CalTopo helps with:
Slope analysis
Terrain overlays
Mapping potential gold zones
onX Hunt helps with:
Land ownership
Access points
Trail systems
On-the-ground navigation
Because finding gold doesn’t matter if:
You can’t legally access it
Or physically get to it
Step 5: Validate With United States Geological Survey Data
This is where we confirm the bigger picture.
We look at:
Geological maps
Known mineral zones
Rock types associated with gold
This helps answer:👉 Should gold even be here in the first place?
If the geology doesn’t support it… we move on.
Step 6: Learn From History (Most Overlooked Step)
Old mining records and history books are gold mines themselves.
We look for:
Past production areas
Old claims and workings
Historical accounts of gold recovery
Because if someone pulled gold out of an area before…
👉 There’s a reason. And often, there’s more left behind.
What This Process Actually Does
This stack doesn’t guarantee gold.
But it does something more important:
👉 It eliminates bad ground👉 It focuses your effort👉 It increases your odds dramatically
Instead of randomly digging…
You’re making informed decisions.
The Hollon Gold Difference
Most channels show you results.
We show you the process behind the results.
Because if you understand:
How to read terrain
How gold moves
How to validate a location
You don’t need luck.
You need a system.
Turn Research Into Real Gold
Once you’ve done the research, the next step is recovery.
If you’re serious about capturing fine gold efficiently in the field, check out
The Hollon Gold vertical highbanker, the "Gold Maker."
Follow the Process
This is just the beginning.
Next comes:
Field testing
Adjustments
And seeing if the research actually pays off
Because in the end:




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