Consumer Interpretation of Brand Authenticity in Artificial Intelligence–Generated Marketing Content

Authors

  • Yeni Yeni Universitas Muhammadiyah Pontianak

DOI:

https://doi.org/10.55927/fjst.v5i1.391

Keywords:

Artificial Intelligence, Brand Authenticity, Digital Marketing, Consumer Trust, Consumer Attitude

Abstract

This study examines consumer perceptions of brand authenticity in AI-generated marketing content and its impact on attitudes and behavioral intentions. Using a quantitative survey and multivariate analysis, the research analyzes the relationships between perceived authenticity, AI transparency, and consumer trust. The findings show that brand authenticity remains a key driver of trust and positive consumer attitudes, even when content is produced by AI. Transparency in AI use and consistency of brand values strengthen authenticity perceptions, while perceived manipulation undermines trust. The study contributes to digital marketing theory and offers practical guidance for designing AI-based content strategies that preserve brand credibility.

References

Amay, S., Vadivelu, R., et al. (2023). Consumer trust and authenticity in digital marketing: Psychological mechanisms in AI-mediated communication. Journal of Marketing Science, 41(2), 210–225.

Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020). In AI we trust? Perceptions about automated decisionmaking by artificial intelligence. AI & Society, 35(3), 611–623.

Beverland, M. B., & Farrelly, F. (2010). The quest for authenticity in consumption: Consumers' purposive choice of authentic cues to shape experiences. Journal of Consumer Research, 36(5), 838–856.

Bruhn, M., Schoenmueller, V., & Schäfer, D. B. (2012). Brand authenticity: Towards a framework for research and practice. Journal of Brand Management, 20(2), 117–132.

Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24–42.

Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of Marketing Management, 15(4), 291–314.

Grewal, D., Roggeveen, A. L., & Nordfält, J. (2021). The future of retailing. Journal of Retailing, 97(1), 1–6.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.

Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30–50.

Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.

Kaur, A., Kaur, K., & Kaur, A. (2025). Brand authenticity and consumer trust in the digital age. International Journal of Transformation in Operational & Marketing Management, 9(1), 1–15.

Kizilcec, R. F. (2016). How much information? Effects of transparency on trust in an algorithmic interface. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2390–2395.

Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650.

Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947.

Margana, Wibowo, B., & Dirgantari, P. D. (2024). Artificial intelligence and brand authenticity: Implications for digital marketing practice. Indonesian Journal of Management and Marketing, 10(3), 205–221.

Morgan, R. M., & Hunt, S. D. (1994). The commitment–trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38.

Napoli, J., Dickinson, S. J., Beverland, M. B., & Farrelly, F. (2014). Measuring consumer-based brand authenticity. Journal of Business Research, 67(6), 1090–1098.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

Prosundhar, D., Dian, H., Hasugian, E., & Khairunnisa, R. (2025). AI as an extension of brand identity: Impacts on consumer perception. International Journal of Marketing Trends, 12(2), 102–115.

Rahmawati, A., Untari, S. I., & Lukitaningrum, K. (2025). The role of artificial intelligence (AI) in marketing strategy optimization. Journal of Multidisciplinary Science, 4(5), 3018–3024.

Rai, A., Constantinides, P., & Sarker, S. (2019). Next-generation marketing in the age of AI. Journal of Business Research, 100, 366–370.

Schallehn, T., Burmann, C., & Riley, N. (2014). Brand authenticity: Model development and empirical testing. Journal of Product & Brand Management, 23(3), 192–199.

Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53–66.

van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2017). Consumer engagement in a networked era. Journal of Service Research, 20(3), 238–256.

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection. Journal of Business Research, 122, 889–901.

Wardani, Y. K. (2025). Sustainable marketing 5.0: A synergistic analysis between digitalization, ethics, and consumer trust. Journal of Research and Service Locus, 5, 4134–4146.

Published

2026-01-31