AI Marketing: Automating Creativity for Digital Campaigns

Keywords

Artificial Intelligence
Content Marketing
Predictive Analytics
Digital Engagement
Creative Automation

How to Cite

Gujrati , R., Uygun , H., & Wadhwa, S. (2025). AI Marketing: Automating Creativity for Digital Campaigns. PromptAI Academy Journal, 5, e091. https://doi.org/10.37497/PromptAI.5.2026.91
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Abstract

Purpose: This paper examines how Artificial Intelligence (AI) is revolutionizing content marketing by automating creativity, enhancing personalization, and optimizing engagement in digital campaigns. It aims to assess how businesses leverage AI-driven tools such as Natural Language Generation (NLG), predictive analytics, and machine learning to strengthen marketing strategies while addressing ethical and creative challenges.

Design/Methodology/Approach: The study employs a comprehensive literature review combined with real-world case analyses of companies including Coca-Cola, Netflix, The Washington Post, and Amazon. It synthesizes findings from academic research, industry reports, and practical applications to evaluate the effectiveness of AI-powered content generation, personalization algorithms, and predictive analytics. The analysis also considers the role of AI chatbots, SEO optimization, and automated data-driven decision-making in digital marketing.

Findings: Results demonstrate that AI enhances efficiency and engagement by automating repetitive tasks, generating personalized and data-informed content, and predicting consumer behavior with high accuracy. Case studies reveal that AI adoption leads to improved targeting, faster content production, and optimized campaign performance. However, challenges persist regarding authenticity, algorithmic bias, and ethical data usage. Maintaining a balance between automation and human creativity is crucial to sustaining brand trust and emotional resonance.

Practical Implications: Businesses must adopt responsible AI integration practices, ensuring transparency, ethical governance, and creative oversight. Marketers should combine AI automation with human insight to produce authentic, meaningful, and engaging content.

Originality/Value: This study provides a holistic perspective on the intersection of AI and content marketing, highlighting how automation can enhance strategic creativity while emphasizing ethical and human-centered innovation.

https://doi.org/10.37497/PromptAI.5.2026.91

References

Ahmed, S. (2015). Artificial intelligence marketing: An application of a novel lightly trained support vector data description. IOSR Journal of Business and Management, 25(3), 44–51. https://www.iosrjournals.org/iosr-jbm/papers/Vol25-issue3/Ser-1/F2503014451.pdf

Chintalapati, N., & Pandey, S. K. (2021). Artificial intelligence in marketing: A systematic literature review. Journal of Marketing Analytics, 9(2), 157–174. https://doi.org/10.1177/14707853211018428

Content Marketing Institute. (n.d.). What is content marketing? Content Marketing Institute. Retrieved February 23, 2025, from https://contentmarketinginstitute.com/what-is-content-marketing/

Dahiya, R. (2023). The impact of artificial intelligence on digital marketing. International Journal of Novel Research and Development, 8(5), 144–151. https://www.ijnrd.org/papers/IJNRD2305144.pdf

Dsouza, A., & Panakaje, N. (2023). A study on the evolution of digital marketing. International Journal of Case Studies in Business, IT, and Education, 7(1), 95–106. https://link.springer.com/chapter/10.1007/978-3-031-62102-4_13

Forbes. (2023). The impact of AI on content creation. Forbes. Retrieved February 23, 2025, from https://www.forbes.com/sites/forbestechcouncil/2023/05/15/the-impact-of-ai-on-content-creation/

Gujrati, R., Sao, A., & Hatipoglu, C. (2025). Smart Building Technology and Consumer Behavior: Evidence from the Indian Real Estate Market. Journal of Sustainable Competitive Intelligence , 15(00), e0516. https://doi.org/10.37497/eagleSustainable.v15i.516

Gupta, S., Kumar, V., & Kannan, P. K. (2023). Artificial intelligence and machine learning in digital marketing: A bibliometric analysis. SSRN Electronic Journal. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4876999

HubSpot. (2023). How AI is changing content marketing. HubSpot. Retrieved February 23, 2025, from https://blog.hubspot.com/marketing/ai-content-marketing

Kong, F., Li, Y., Nassif, H., Fiez, T., Henao, R., & Chakrabarti, S. (2023). Neural insights for digital marketing content design. arXiv preprint arXiv:2302.01416. https://arxiv.org/abs/2302.01416

Kose, U., & Sert, S. (2017). Intelligent content marketing: An AI-based approach. International Journal of Advanced Computer Science and Applications, 8(5), 417–424. https://doi.org/10.14569/IJACSA.2017.080558

Kumar, R., Masnita, Y., & Lee, H. (2022). Exploring the applications of artificial intelligence in marketing: A comprehensive review. Tourism & Management Studies, 18(1), 45–67. https://www.tmstudies.net/index.php/ectms/article/view/2875

WS Cube Tech. (2025). The role of AI in digital marketing: Forecasting and customer services. WS Cube Tech. Retrieved February 23, 2025, from https://www.wscubetech.com/blog/role-of-ai-in-digital-marketing/