As an ArcGIS Online administrator, I need a simple way to assess metadata quality, understand item relationships, and discover relevant content across the organization. Today, identifying which maps use specific layers, understanding group layer hierarchies, or finding content with poor metadata requires significant manual effort.
An AI-powered assistant integrated with Semantic Search and a chat interface could analyze metadata, dependencies, ownership, tags, and usage patterns to answer questions such as:
- Which maps use this layer?
- What content has incomplete metadata?
- Which items are duplicates or rarely used?
- What would be impacted if this layer is removed?
This capability would improve content governance, metadata quality, discoverability, and administrative efficiency, helping organizations manage ArcGIS Online content at scale.
