Grouping (What Types?)

Grouping is a semantic frame query type that answers 'what are the types of X?' and requires taxonomy or classification of entities. The ideal answer format is a numbered list or comparison table, which reduces Cost of Retrieval and makes AI citation easier: structured data is simpler to parse than continuous text. Grouping questions naturally map to entity hyponyms (subtypes form a ready-made classification).

For example: 'Types of leasing: (1) operational (payments as costs, no ownership, 100% VAT), (2) financial (depreciation, ownership at end, 50% VAT), (3) leaseback — you sell and lease back your own equipment.' AI Search rewards content with complete taxonomy because it covers multiple sub-queries with one fragment. In practice, use lexical expansion tools to generate hyponyms, then convert each hyponym into a table row or list item with key attributes. Grouping questions often generate Featured Snippets in Google; tables and lists have the highest chance for position zero.