Artificial Intelligence Generated Content (AIGC) technology has stepped into an all-round commercialization stage. AIGC is becoming a core support measure for intelligent design. The work aims to review the intelligent design methods supported by AIGC to improve the design efficiency and design quality, and to comply with the ever-changing complex design needs in the age of artificial intelligence. Through literature research, basic principles and main features of AIGC were analyzed deeply. Intelligent design methods based on data mining and analysis, knowledge reasoning and learning, algorithm evolution and simulation were summarized. Key steps of AIGC-supported intelligent design:data preprocessing, context-aware tuning, cross-modal interaction design, model construction and evaluation, dynamic learning and feedback optimization were derived. AIGC was of great significance for the transformation of intelligent design methods in industrial design process iteration, deep integration of man and machine in media creation entertainment interaction development. Finally, the intelligent design method supported by AIGC is prospected, and three trends are drawn:intelligent digital twin design under the combination of virtual and real, the social change of intelligent design under the global collaboration, the design of interaction and feedback mode under the demand of privacy and security.