Published research on how AI systems select brands, why certain brands appear more often, and what drives recommendation behaviour across categories.
Understanding how AI systems surface products and companies in modern buying conversations — and why recommendation patterns differ from traditional search rankings.
Why broad brand awareness does not always translate into AI recommendation visibility — and why contextual relevance may matter more than popularity in constrained buying environments.
Understanding why some brands become recurring reference points across AI-generated recommendation environments.
Understanding why AI recommendation systems operate differently from traditional search rankings — and why inclusion matters more than position.
Exploring how geography, constraints, intent, lifestyle, and buyer context dramatically shift AI-generated recommendation environments.