The Growth Insight 🌱

Forget everything you know about SEO—the game is about to change in a really significant way.

While everyone's still obsessing over keywords and backlinks, a silent revolution is reshaping how information flows online, and there are billions of dollars just waiting to be claimed.

Welcome to the world of LLM SEO, where getting "cited" by AI models isn't just a neat trick—it's the new gold rush. Think about it: when someone asks Claude, GPT, or Gemini a question, where do they pull their information from?

That's right, and whoever figures out how to consistently be that source is sitting on a goldmine.

Here's what makes this moment so electric: we're standing at the exact point where the old rules are crumbling, but the new ones haven't fully solidified. It's like being there when Google first launched, knowing that the websites that figured out PageRank early would dominate for decades. Except this time, the stakes are even higher.

The beautiful irony? While tech giants spent years building walls around their gardens, LLMs are creating new pathways for information to flow. And unlike traditional SEO, where you're fighting against decades of established players and their massive budgets, this is virgin territory. The playing field isn't just level—it's wide open.

What's particularly fascinating is how this shifts the power dynamics. No longer are you optimizing for a single search engine's algorithms. You're now positioning your content to be recognized as authoritative by multiple AI models, each with its own unique way of understanding and citing information. It's like playing 3D chess, but with better prizes.

The smart money isn't just watching this space—it's already moving. While most businesses are still trying to crack the code of traditional SEO, forward-thinking players are quietly building the infrastructure and content that will become the backbone of AI knowledge bases. They're not just creating content; they're creating the sources that future AIs will consider gospel.

And here's the kicker: this isn't just about technology or algorithms. It's about understanding how AI models think, learn, and attribute information.

The billions won't flow to those with the biggest budgets, but to those who grasp this fundamental shift in how knowledge is organized, accessed, and valued in the AI age