The schema design requirement that entity representations include multiple varieties of the same core claim to match different query patterns — optimizing for lexical diversity while preserving semantic identity. Example: an entity described as ‘AI consulting firm’ should also be described as ‘artificial intelligence advisory’ and ‘machine learning consultancy’ to match query variety. Multi-variety optimization prevents query-pattern brittleness: if your schema only includes one term variant, you’re invisible to queries using other variants. Multi-variety optimization is distinct from keyword stuffing: it’s structured semantic expansion, not repetitive phrasing.