The MAPGEN project is leveraging artificial intelligence (AI) and large language models (LLMs) to scale the analysis of gender norm portrayals in entertainment media consumed by adolescent girls and young women in India; Kenya; and Nigeria. By employing customized prompt engineering techniques; the project will enable LLMs to systematically detect and classify representations of social norms across diverse media formats. This approach facilitates efficient content analysis by extracting insights from vast media datasets; identifying patterns of gender portrayals; and evaluating audience responses to these narratives. The integration of AI tools not only enhances the accuracy and scalability of detecting gender themes but also supports the development of methodologies that can be shared as public goods to lower costs for similar future initiatives. The project outputs; supporting documents; produced datasets; and developed methodologies will serve as public goods for stakeholders to utilize after the project's completion; thereby lowering the cost of running similar exercises. The project team seeks to hire an implementing institution with advanced experience in using computational linguistics and LLM-based applications to support cross-cultural analysis to support core activities under this project.