video1.0<iframe src="https://www.loom.com/embed/08dc2a1e38c24af7a44631a44730f11a" frameborder="0" width="1408" height="1056" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10561408Loomhttps://www.loom.com10561408https://cdn.loom.com/sessions/thumbnails/08dc2a1e38c24af7a44631a44730f11a-af3b3afc4572c19f.gif202.603This Loom demonstrates how to refine FIS coverage searches in the platform to omit irrelevant content and improve results with contextual projects. The author starts with the FIS Keyword Search, filtering results to news, blogs, and broadcast, and uses an extensive Boolean NOT list to exclude skiing and snowboarding federation references and specific ski and snowboard related variants of people and language. They then show an advanced Boolean approach using variations like FIS and FISGlobal while excluding unwanted terms to reduce volume and increase accuracy. Finally, they illustrate setting up a FIS brand hub project in Mira with context layers such as executives, products, competitors, geographic focus, stakeholders, and explicit exclusion parameters so Mira can produce accurate outputs, including a sample prompt about leading coverage this week with no Ski Federation mentions.