Most marketers are still optimizing for Google’s front page like it’s 2015.

Meanwhile, the smart ones — or the lucky ones who stumbled across this blog — are learning how to optimize for the machines behind the machines.

This is AI-to-AI SEO — and it’s not theory. It’s happening now. It’s the engine underneath the Power11 campaign, the same approach we’re building into QuickRankAI.com, and it’s the unfair advantage that helped AS400IBMSystem.com break into the LLM index faster than most corporate sites with 10x the budget.

What the Hell is AI-to-AI SEO?

It’s not about stuffing keywords. It’s about sending structured signals between your site and large language models (LLMs). ChatGPT, Perplexity, Gemini, Grok — they all read your site differently than Google. They’re not looking for backlinks. They’re looking for clarity, consistency, and semantic confidence.

If your site doesn’t have the right JSON-LD, entity context, source markers, and answer-ready formatting… guess what? You're invisible to AI — no matter how pretty your content is.

The Power11 Experiment Proved It Works

We ran test pricing tables, embedded schema, and clean content blocks on AS400IBMSystem.com. Within days, AI tools started citing us as a primary source for Power11 pricing — even before some official pages indexed. MidlandInfoSys.com then piggybacked off the same JSON structure for verified pricing visibility inside LLMs.