These case studies explore how AI visibility, entity clarity, structured content, and discoverability architecture influence whether brands are retrieved, interpreted, shortlisted, and recommended within AI-driven search environments. Each example examines the strategic systems behind AI discoverability — including entity positioning, semantic structure, retrieval readiness, and recommendation visibility across modern AI platforms. Rather than focusing only on rankings or traffic, these case studies illustrate how businesses can strengthen their presence within the evolving AI search and selection ecosystem.