The rapid expansion of digital media has enabled scholars to engage public audiences through blogs, podcasts, newsletters, and videos, producing a growing body of public humanities content. While this democratization of knowledge has lowered barriers between academic expertise and the public sphere, it has also generated a structural discovery problem. Public-facing scholarship is highly fragmented across platforms and frequently obscured by the overwhelming volume of general online content (a classic “signal versus noise” dilemma). Existing discovery tools are ill-suited to address this gap: traditional academic databases prioritize peer-reviewed literature, while commercial search engines privilege popularity and engagement over scholarly relevance. This article discusses publicscholarship.org, a search index launched in January 2026 to aggregate, categorize, and make discoverable public-facing scholarly content produced by credentialed experts for non-specialist audiences. I outline the conceptual framework for defining public humanities content, the operational criteria used to identify scholars and relevant content, and the balance between automation and human curation that enables scalability.