Original Research and Controlled Experiments
Documented experiments with live data, real traffic, and measured outcomes. Every finding is built on controlled conditions and verifiable results.
Published Research
Controlled experiments documenting how AI systems cite, convert, and interact with live sites.
What This Research Is
Most of what gets published about AI discoverability is based on asking AI how it works and treating the answer as ground truth. That methodology produces an echo chamber, not evidence.
This research takes a different approach. Every experiment uses a live site, real traffic, measurable conversions, and a controlled environment. The findings come from observed behavior, not stated frameworks.
The goal is to document what actually drives AI citation, conversion, and discoverability using the same rigor applied to building systems that work in production.
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