Many product marketers struggle with prompt templates due to inadequate context, leading to generic or irrelevant results. Effective context engineering involves providing tailored information specific to the task, rather than overwhelming the AI with excessive or conflicting details. By focusing on the right context, marketers can significantly enhance the quality of AI-generated outputs.