Image

Protected: Where AI Recommendations Actually Come From

When a buyer asks an AI "what should I use?", the answer comes from two places: what the model absorbed in training, and what a live search hands it at answer time. We measured both — including reading a real AI model's actual training data — and most of what's sold as "AI visibility" measures neither.

Avatar of Dan Tynski

By Dan Tynski

Cofounder

Reading time

17 min read

Protected: Where AI Recommendations Actually Come From

Share

This content is password-protected. To view it, please enter the password below.

About the author


Dan Tynski

Dan Tynski

Cofounder

Dan Tynski is Senior Vice President of Technology at Fractl. He leads engineering, platform architecture, and internal systems that support the company’s operations and product development. His work focuses on scalable infrastructure, AI-driven agent systems, and technical foundations that enable efficiency, reliability, and long-term extensibility.