Structured output refers to results from data processing or machine learning models that are arranged in a consistent, predefined format, making it easier to interpret, analyze, or use in further processes. Examples include decision trees outputting clear yes/no paths or categorization tasks assigning clear labels. This structure contrasts with unstructured outputs like free text or raw data, where organization isn't inherently provided.