AI-Generated Content as the Future of Marketing Strategies

Lavinia Celina Rahmawati () and Freddy Sikouonmeu ()
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Lavinia Celina Rahmawati: Hochschule Osnabrück
Freddy Sikouonmeu: DFKI GmbH

Chapter Kapitel 2 in Generative Künstliche Intelligenz in Marketing und Sales, 2024, pp 11-23 from Springer

Abstract: Abstract This research paper explores the role of AI-generated content in modern marketing strategies, focusing on generative artificial intelligence (GAI) tools like text-to-text, text-to-image, and text-to-video technologies. The methodology includes evaluating these tools against set criteria, using scenarios like ‘generating images for marketing purposes’ (for full evaluation results, please visit https://t.ly/8RC32 ). Key findings recommend specific GAI tools based on their strengths like Bard for storytelling, Writesonic for customized content, and DALL-E and Magic Media for visual content. This research emphasizes the criticality of carefully selecting GAI tools for marketing, focusing on aligning each tool’s unique functionalities with specific campaign objectives. Furthermore, it highlights the importance of continuous professional development in keeping pace with the evolving capabilities of AI technologies, ensuring their effective and efficient application in marketing strategies.

Keywords: (3–5): AI; Content Marketing; Tools; Marketing Strategy; Generative AI (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-658-45132-5_2

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DOI: 10.1007/978-3-658-45132-5_2

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