IDEAS home Printed from https://ideas.repec.org/a/bco/mbraaa/v12y2025p1-20.html
   My bibliography  Save this article

Harnessing AI to Redefine Brand Archetype Strategies: Insights from Industry Experts

Author

Listed:
  • Ioana Iancu

    (Babes-Bolyai University, Cluj-Napoca, Romania)

  • Mihaela Jucan

    (Babes-Bolyai University, Cluj-Napoca, Romania)

Abstract

The rapidly growing global Artificial intelligence (AI) market highlights the significant and transformative impact AI is having across numerous domains. In marketing, AI enables brands to revolutionize communication strategies and enhance consumer engagement through personalized experiences and data-driven decisions. However, the current focus on efficiency often overlooks the psychological aspects of branding, essential for building meaningful consumer relationships. This paper explores the integration of AI with Jungian brand archetypes, emphasizing AI's potential to amplify psychological triggers within these archetypes, thereby deepening consumer engagement and brand loyalty. Through qualitative research, including interviews with marketing experts, the study examines how AI-driven strategies can enhance the resonance of brand narratives by aligning them with consumers' archetypal aspirations. The findings reveal that AI's ability to analyze consumer behavior allows for the creation of personalized and emotionally compelling brand narratives. While AI enhances personalization, concerns about authenticity and ethics remain. This research contributes to the evolving discourse on AI in marketing by proposing a framework that integrates AI with psychological branding strategies, offering insights for marketers to create more meaningful and enduring brand-consumer relationships.

Suggested Citation

  • Ioana Iancu & Mihaela Jucan, 2025. "Harnessing AI to Redefine Brand Archetype Strategies: Insights from Industry Experts," Marketing and Branding Research, EUROKD, vol. 12(1), pages 1-20.
  • Handle: RePEc:bco:mbraaa::v:12:y:2025:p:1-20
    DOI: 10.32038/mbr.2025.12.01.01
    as

    Download full text from publisher

    File URL: https://api.eurokd.com/Uploads/Article/1520/mbr.2025.12.01.01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.32038/mbr.2025.12.01.01?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Merlo, Omar & Eisingerich, Andreas B. & Gillingwater, Richard & Cao, Jia Jocelyn, 2023. "Exploring the changing role of brand archetypes in customer-brand relationships: Why try to be a hero when your brand can be more?," Business Horizons, Elsevier, vol. 66(5), pages 615-629.
    2. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    3. Yuping Liu-Thompkins & Shintaro Okazaki & Hairong Li, 2022. "Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1198-1218, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kirk Plangger & Dhruv Grewal & Ko Ruyter & Catherine Tucker, 2022. "The future of digital technologies in marketing: A conceptual framework and an overview," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1125-1134, November.
    2. Juquelier, Antoine & Poncin, Ingrid & Hazée, Simon, 2025. "Empathic chatbots: A double-edged sword in customer experiences," Journal of Business Research, Elsevier, vol. 188(C).
    3. Poushneh, Atieh & Vasquez-Parraga, Arturo & Gearhart, Richard S., 2024. "The effect of empathetic response and consumers’ narcissism in voice-based artificial intelligence," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    4. Janotta, Frederica & Hogreve, Jens, 2024. "Ready for take-off? The dual role of affective and cognitive evaluations in the adoption of Urban Air Mobility services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    5. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    6. Chang, Yaping & Wang, Han & Guo, Zhenjiang, 2025. "Artificial intelligence in live streaming: How can virtual streamers bring more sales?," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    7. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    8. Nada Znady & Mohamed Bazi, 2025. "Artificial intelligence at the core of digital entrepreneurship: a conceptual approach [L'intelligence artificielle au coeur de l'entrepreneuriat digital : une perspective conceptuelle]," Post-Print hal-05017909, HAL.
    9. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    10. Ania A Drzewiecka & Amelia Allan, 2024. "Educating Brands? How Integrating Behavioural Insights, Influential Marketing and Consumer Decision-Making Can Elevate Consumer Literacy in Fashion Branding," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(9), pages 726-744, September.
    11. Ahmed H. Alsharif & Junhai Wang & Salmi Mohd Isa & Nor Zafir Md Salleh & Husam Azzawi Dawas & Mohammed H. Alsharif, 2025. "The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade," Future Business Journal, Springer, vol. 11(1), pages 1-30, December.
    12. Jung Lee, 2025. "When bots’ empathic expressions backfire: Exploring the negative moderation between chatbot empathic expressions and monetary compensation for angry customers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-16, December.
    13. Marco Bettiol & Mauro Capestro & Eleonora Di Maria & Roberto Ganau, 2024. "Is this time different? How Industry 4.0 affects firms’ labor productivity," Small Business Economics, Springer, vol. 62(4), pages 1449-1467, April.
    14. Rita Gonçalves, Ana & Costa Pinto, Diego & Gonzalez-Jimenez, Héctor & Dalmoro, Marlon & Mattila, Anna S., 2025. "Me, Myself, and My AI: How artificial intelligence classification failures threaten consumers’ self-expression," Journal of Business Research, Elsevier, vol. 186(C).
    15. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2021. "Why doesn't our value creation payoff: Unpacking customer analytics-driven value creation capability to sustain competitive advantage," Journal of Business Research, Elsevier, vol. 131(C), pages 287-296.
    16. Wang, Siqi & Lim, Weng Marc & Cheah, Jun-Hwa & Lim, Xin-Jean, 2025. "Working with robots: Trends and future directions," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    17. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
    18. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    19. Abou-Foul, Mohamad & Ruiz-Alba, Jose L. & López-Tenorio, Pablo J., 2023. "The impact of artificial intelligence capabilities on servitization: The moderating role of absorptive capacity-A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 157(C).
    20. Bai, Shizhen & Yu, Dingyao & Han, Chunjia & Yang, Mu & Gupta, Brij B. & Arya, Varsha & Panigrahi, Prabin Kumar & Tang, Rui & He, Hao & Zhao, Jiayuan, 2024. "Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation: Insights from the high-evoked automated social presence," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bco:mbraaa::v:12:y:2025:p:1-20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sara Gunen (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.