When a user submits a content resource to a content database, an automated content categorizer facilitates the task by suggesting a list of relevant content categories in the content database. The automated content categorizer receives a search descriptor attributed to the content resource, performs a relevance search, and proposes a ranked list of category branches that are expected to provide a good match with the described content resource. Metadata associated with individual categories and content resources stored in the content database are searched relative to the search descriptor provided by the user. From the proposed content categories, the user can simply select the category he or she feels is most appropriate and store the content resource under that category in the content database, or propose a new category.