This article introduces MARK-GEN, a conceptual framework that utilizes generative artificial intelligence (AI) to transform digital marketing strategies. The framework provides a structured approach for businesses to leverage generative AI in creating marketing content, offering a new method in digital marketing. The paper presents two case studies within the fashion industry, demonstrating how MARK-GEN can generate compelling marketing content using generative AI technologies. The framework is built upon previous technical developments in virtual try-on models, including image-based, multi-pose, and image-to-video techniques. The article also discusses various aspects of digital marketing, including personalisation, recommender systems, social media marketing, search engine marketing, and email marketing. It highlights the challenges and issues in digital marketing, such as privacy concerns and the need for a clear framework. The article emphasizes the importance of using generative AI to enhance marketing strategies, reduce the need for manual content creation, and improve customer engagement. The proposed framework, MARK-GEN, outlines steps that are easily understandable for businesses, making it simpler to implement in their own environment. The case studies demonstrate how specific businesses can follow the framework to create a desired generative AI model to achieve their marketing objectives. The article also discusses the benefits of generative AI in the fashion industry, including image-based virtual try-on models and other applications. The framework is not limited to the fashion industry and can be applied across various other sectors, including product recommendations in retail, property demonstration in real estate, and hotel promotions in hospitality. The article concludes by highlighting the potential of generative AI in digital marketing and the importance of developing a clear framework to ensure its effective implementation.This article introduces MARK-GEN, a conceptual framework that utilizes generative artificial intelligence (AI) to transform digital marketing strategies. The framework provides a structured approach for businesses to leverage generative AI in creating marketing content, offering a new method in digital marketing. The paper presents two case studies within the fashion industry, demonstrating how MARK-GEN can generate compelling marketing content using generative AI technologies. The framework is built upon previous technical developments in virtual try-on models, including image-based, multi-pose, and image-to-video techniques. The article also discusses various aspects of digital marketing, including personalisation, recommender systems, social media marketing, search engine marketing, and email marketing. It highlights the challenges and issues in digital marketing, such as privacy concerns and the need for a clear framework. The article emphasizes the importance of using generative AI to enhance marketing strategies, reduce the need for manual content creation, and improve customer engagement. The proposed framework, MARK-GEN, outlines steps that are easily understandable for businesses, making it simpler to implement in their own environment. The case studies demonstrate how specific businesses can follow the framework to create a desired generative AI model to achieve their marketing objectives. The article also discusses the benefits of generative AI in the fashion industry, including image-based virtual try-on models and other applications. The framework is not limited to the fashion industry and can be applied across various other sectors, including product recommendations in retail, property demonstration in real estate, and hotel promotions in hospitality. The article concludes by highlighting the potential of generative AI in digital marketing and the importance of developing a clear framework to ensure its effective implementation.