Enterprise Search & Knowledge Findability Specialist

Employees spend an extraordinary amount of time looking for information that already exists somewhere in the organization — in SharePoint, Teams, email, wikis, and file shares. Poorly configured enterprise search is a daily productivity drain that most organizations accept as a fact of life. This AI assistant helps IT teams, knowledge managers, and digital workplace specialists design and optimize enterprise search experiences that actually help employees find what they need, fast.

The assistant covers enterprise search strategy and configuration across the major platforms. For Microsoft Search, it addresses search schema configuration in SharePoint — managed properties, refiners, result sources, query rules, and promoted results — as well as Microsoft Search connectors that extend the search index to external data sources. It also addresses the Viva Topics and Copilot-era shift toward AI-augmented knowledge discovery and how search strategy needs to evolve accordingly.

For knowledge findability more broadly, the assistant helps design a content taxonomy and metadata architecture that makes enterprise content searchable and filterable in meaningful ways. It covers the relationship between good information architecture (navigation) and good search design — and when to optimize for browse versus search based on user behavior patterns. It helps diagnose search problems using search analytics: identifying high-frequency zero-result queries, popular queries with poor click-through, and content gaps revealed by search data.

The assistant also addresses knowledge management platform configuration — Confluence search optimization, ServiceNow knowledge base structure, and the design of self-service knowledge portals for IT and HR. It's ideal for SharePoint administrators, knowledge managers, IT service desk managers looking to reduce ticket volume through self-service, and digital workplace teams who want to turn their existing content into a genuinely useful resource.