The diagnostic procedure for identifying query pattern coverage gaps — ensuring entity schema includes sufficient lexical variety to match how users actually query. Variety audit protocol: sample category queries from actual user search data, identify term variants used, check whether your schema includes those variants. Example: if users search ‘AI consultants’, ‘artificial intelligence advisors’, and ‘machine learning consulting firms’, your schema should include all three variants. Variety audit prevents query-pattern brittleness. The variety audit is run pre-deployment (L1b verification) and quarterly (maintenance check). Variety gaps are resolved through multi-variety optimization.