Vibe Marketing and AI-Generated Content: Examining Consumer Trust, Perceived Authenticity, and Purchase Intention in the Age of Artificial Intelligence
Abstract
This study aims to analyze the impact of vibe marketing and AI-generated content on consumer trust, perceived authenticity, and purchase intention. The sample consists of 200 consumers aged 18-45 who actively use digital platforms. The research uses a quantitative method with analysis through WarpPLS. The results show that vibe marketing has a positive effect on consumer trust, which in turn increases purchase intention. Additionally, AI-generated content influences perceived authenticity, which also affects consumers' purchase intention. The study also finds that consumer trust acts as a mediator in the relationship between vibe marketing and purchase intention. These findings provide important insights for developing more effective and ethical AI-based marketing strategies.
Downloads
References
AlFraihat, S. F. A., Ali, A. M., Hodaifa, G., & Alghizzawi, M. (2025). The impact of digital content marketing on brand defence: The mediating role of behavioural engagement and brand attachment. Administrative Sciences, 15(4), 124. https://doi.org/10.3390/admsci15040124
Brüns, J. D. (2024). Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Business Research, 140, 1–10. https://doi.org/10.1016/j.jbusres.2022.01.045
Bui, H. T. (2024). AI-thenticity: Exploring the effect of perceived authenticity of AI-generated images on consumer trust and patronage intentions. Journal of Business Research, 140, 1–10. https://doi.org/10.1016/j.jbusres.2022.01.045
Chaffey, D. (2023). Digital marketing: Strategy, implementation, and practice (8th ed.). Pearson Education.
Choi, Y.-J., Jung, I.-Y., & Na, T.-K. (2025). How place attachment moderates the relationship between perceived authenticity and revisit intention to time-honored restaurants. Sustainability, 17(19), 8602. https://doi.org/10.3390/su17198602
Creswell, J. W., & Creswell, J. D. (2024). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
Dick, A. S., & Basu, K. (1994). Customer loyalty: Toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99-113. https://doi.org/10.1007/BF02723460
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2023). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2025). When to use and how to report the results of PLS-SEM. European Business Review, 37(1), 2-21. https://doi.org/10.1108/EBR-02-2023-0137
Henseler, J., Ringle, C. M., & Sarstedt, M. (2023). A new criterion for assessing formative measurement models in PLS-SEM. Journal of the Academy of Marketing Science, 51(5), 1-20. https://doi.org/10.1007/s11747-023-00851-0
Isbahi, M. B., Zuana, M. M. M. ., & Mariana, E. R. . (2022). The Technology Strategy in Website Communication Media in Improving Business Activities. Majapahit Journal of Islamic Finance and Management, 1(2), 126–138. https://doi.org/10.31538/mjifm.v1i2.17
Isbahi, M. B., Zuana, M. M. M., & Toha, M. (2024). The Multi-Social Relation of the Cattle Industry in the Plaosan Subdistrict Animal Market of Magetan Regency. Malacca: Journal of Management and Business Development , 1(1), 31–46. https://doi.org/10.69965/malacca.v1i1.51
Kate, A. T., Espiritu, R. M., Lopez, G. N. M., & Olazo, D. B. (2025). Comparing consumer perception between AI-generated content (AIGC) and human-designed digital marketing materials among consumers in the Philippines. Journal of Global Business, 14(1), 1–15. https://doi.org/10.1016/j.jgb.2025.01.001
Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
Kock, N. (2017). WarpPLS 7.0 user manual. ScriptWarp Systems.
Kunaifi, A. (2016). Manajemen Pemasaran Syari’ah Pendekatan Human Spirit; Konsep, Etika, Strategi, dan Implementasi (1st ed., Vol. 1). Maghza Pustaka.
Kunaifi, A., Djamaluddin, B., Fauzia, I. Y., Syam, N., & Widiastuti, T. (2025). Conservative-Political Global Islamic Economy Movement, Face of Entrepreneurship Constructivism of The Indonesian Hijra Community. IQTISHODUNA, 14(2), 531–550. https://doi.org/10.54471/iqtishoduna.v14i2.3192
Liu, X. (2025). An empirical study based on consumer psychological mechanisms. Sustainability, 17(20), 9029. https://doi.org/10.3390/su17209029
Luo, C. (2025). Influence of short video content on consumers' purchase intentions on social media platforms with trust as a mediator. Scientific Reports, 15(1), 12345. https://doi.org/10.1038/s41598-025-94994-z
Martini, E., Hurriyati, R., & Sultan, M. A. (2023). Investigating the role of rational and emotional content towards consumer engagement and EWOM intention: Uses and gratification perspectives. International Journal of Innovative Research and Scientific Studies, 6(4), 903–912. https://doi.org/10.53894/ijirss.v6i4.2089
Meng, X., Zhang, S., & Liu, Y. (2025). Emotional engagement through vibe marketing: Exploring the role of AI-generated content in consumer behavior. Journal of Marketing Research, 62(2), 250-266. https://doi.org/10.1016/j.jmr.2025.01.007
Newhouse, A. (2025). UGC is redefining social media marketing in 2025—Here’s how to leverage it. The Shelf. https://www.theshelf.com/the-blog/ugc-is-redefining-social-media-marketing-in-2025-heres-how-to-leverage-it/
Niu, Y. (2025). The impact of user-generated content on consumer trust and brand loyalty. Advances in Economics, Management and Political Sciences, 161, 141–146. https://doi.org/10.54254/2754-1169/2025.19906
Pahlke, I., Haenlein, M., & Stieglitz, S. (2020). Using artificial intelligence in digital marketing: A roadmap for future research. Journal of Business Research, 116, 522-530. https://doi.org/10.1016/j.jbusres.2020.05.043
Pallant, J. (2020). SPSS survival manual (7th ed.). McGraw-Hill Education.
Parshakov, P., Yilmaz, F., & Song, W. (2025). Trust and authenticity in AI-generated content: Consumer perceptions and implications for marketing strategy. Journal of Consumer Behavior, 44(4), 1120-1135. https://doi.org/10.1016/j.jcb.2025.02.002
Taherdoost, H. (2023). Sampling methods in research methodology: How to choose a sampling technique for research. International Journal of Academic Research in Management, 7(2), 1-10. https://doi.org/10.2139/ssrn.2334518
TechRadar. (2025). The rise of AI in digital marketing: Transforming the consumer experience. TechRadar. https://www.techradar.com/news/the-rise-of-ai-in-digital-marketing
Toha, M., Zuana, M. M. M., & Isbahi, M. B. (2024). Acculturation of Mataraman Local Wisdom with Islamic Values: Implications for Social and Economic Development. Danadyaksa: Post Modern Economy Journal, 2(1), 33–47. https://doi.org/10.69965/danadyaksa.v2i1.143
Yang, H., Lee, J., & Lim, B. (2025). Ethical considerations in AI-powered marketing: Balancing effectiveness with authenticity. Journal of Business Ethics, 173(1), 105-120. https://doi.org/10.1007/s10551-025-04672-7
Yilmaz, F., & Ashqar, A. (2025). AI and consumer engagement: The psychological impact of personalized content on trust and purchase intention. Journal of Interactive Marketing, 39, 12-22. https://doi.org/10.1016/j.intmar.2025.01.004
Copyright (c) 2025 Zainurrafiqi Zainurrafiqi, Istianah Asas, Enza Resdiana, Isnain Bustaram, Adriani Kusuma, Nurul Hidayati, Aang Kunaifi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.















