I’ll admit it—one of my favorite parts about SpyFu GPT is just how powerful it becomes in the right hands. When you know what you’re looking for, it can take you further than anything else I’ve seen.
The other day, I saw a trending Reddit post about a site called ainvest.com (AI Invest). They went from 190,000 to 5.7 million visitors in 10 weeks. Naturally, I was skeptical. But when I plugged them into SpyFu, sure enough—massive growth. And when I actually browsed the site, the content wasn’t junk. It was decent. Insightful, even.
That’s when I sent a quick message to a friend who runs earningshub.com. I told him it would be incredible if he could reverse engineer their SEO strategy—they’re crushing it. Then I thought: hold my beer.
I could do that pretty fast.
I asked SpyFu GPT to break down AI Invest’s SEO playbook. Here’s where things got interesting.
What SpyFu GPT Uncovered
SpyFu GPT doesn’t just hand you surface-level insights. It connects directly to the SpyFu API and pulls the real signals behind a site’s growth. In AI Invest’s case, it showed me:
- They publish news-style articles optimized for big brands.
- Their top performers mix corporate news with speculative finance headlines.
- They’ve shifted heavily into crypto and memecoin content—fast-moving, traffic-spiking topics.
- The turning point? A major shift about 2–3 months ago, with explosive keyword gains.
In short, it identified a news-driven SEO strategy, piggybacking on freshness and trending topics.
"This is a superpower, you guys. This is not possible just with ChatGPT alone."
Turning That Into a Playbook
That’s great to know, but the real question was: how do we apply it?
So I asked SpyFu GPT to translate those findings into a custom SEO roadmap for EarningsHub. It came back with options:
- A 30-day content calendar with daily posts, target keywords, and angles designed to outrank AI Invest.
- A competitor combat map highlighting untapped keyword gaps in the earnings niche.
Then I pushed further: “Show me how to build a content machine at scale.”
SpyFu GPT broke it all down—from inputs like Google Trends, SEC filings, and finance APIs, to decisions about which stories to chase, to templates for publishing and distribution. It even mapped out feedback loops and automation paths.
By the time I was done refining, I had developer-ready specs. Actual API endpoints, integration instructions, and a Python script that could generate, publish, and distribute this kind of content automatically.
Why It Beats ChatGPT Alone
I tested this same exercise in ChatGPT Pro with Deep Research ($200/month). It worked hard, asked follow-up questions, and tried. But it didn’t get there. It gave me surface-level recommendations like “add a /news directory” or “check your robots.txt.”
No real insights. No strategy. No roadmap.
That’s the difference when you give an AI real data to work with. SpyFu GPT doesn’t just brainstorm—it builds with a data-backed plan.
You can do Big Things
The biggest thing I want you to take away is that "More of your ideas are actually possible. You can act on them." Because for as much as I show you examples, what matters most is that you have the confidence--and the savvy--to start digging for answers.
SpyFu GPT is made to turn your questions into answers and those answers into actions.
Here's how.
- SpyFu GPT + Real Data = Actionable Playbooks. You’re not guessing—you’re working with live SEO signals.
- Reverse engineering competitors is just the start. You can immediately turn it into a roadmap for your own site.
- Scalable content machines are possible. With the right specs, you can automate trend detection, content creation, and distribution.
- Thought leadership analysis, instantly. What would normally take me days (or weeks) of manual digging came together in minutes.
Soon, I'll break down exactly what it showed me if you're interested. I think their playbook–and how we got there–makes for a great case study. Until then, I'm curious to know how you're using SpyFu GPT. I can't wait to hear about your approach.
