A NEW AUTHOR in ADVERTISING: SEMIOTIC ANALYSIS of AI-GENERATED ADVERTISEMENTS FROM A MARKETING PERSPECTIVE

Abstract

This study analysed the effects of artificial intelligence (AI)-generated commercial videos on marketing communication and semiotic meaning production. 9 commercials created with AI for eight different brands, including Toys R Us, McDonald's, Coca-Cola, Pedigree, Doğanay Turnip, Bizim Evler, Heinz, and Lexus, were examined using Barthes' myth analysis, Saussure's signifier-signified model, and Peirce's classification of signs into icon, index, and symbol. The results revealed that AI played an active role in content production and the reconstruction of cultural myths. While AI was found to be highly effective in visual and script creation, human input remained essential for voice-over and emotional resonance. Thematic analyses showed that the commercials predominantly addressed themes of emotionality, empathy, and innovation. It was also found that AI utilised cultural representations effectively to influence consumer perception and enhance brand image. The study concluded that AI applications in marketing strategies should be developed with attention to cultural and emotional sensitivity and technical efficiency. Future research was recommended to explore AI-generated advertisements in various cultural contexts and empirically investigate their effects on consumer behaviour.

Keywords

• Artificial Intelligence
• Advertising
• Semiotics
• Cultural Myth
• Marketing Communication

REKLAMDA YENİ YAZAR: YAPAY ZEKÂ DESTEĞİYLE ÜRETİLEN REKLAMLARIN GÖSTERGEBİLİMSEL ANALİZİ ve PAZARLAMA BAKIŞ AÇISIYLA İNCELENMESİ

Abstract

Bu çalışma, yapay zekâ (YZ) desteğiyle üretilen reklam videolarının pazarlama iletişimi ve göstergebilimsel anlam üretimi üzerindeki etkilerini analiz etmektedir. Toys R Us, McDonald’s, Coca-Cola, Pedigree, Doğanay Şalgam, Bizim Evler, Heinz ve Lexus gibi sekiz farklı markaya ait dokuz farklı yapay zekâ desteğiyle üretilmiş reklam, Barthes’ın mit çözümlemeleri, Saussure’ün gösteren–gösterilen modeli ve Peirce’ün ikon, indeks, sembol ayrımı temelinde incelenmiştir. İncelemenin sonuçları, YZ’nin içerik üretiminde ve kültürel mitlerin yeniden inşasında aktif bir rol oynadığını ortaya koymaktadır. Çalışmada, YZ'nin görsel ve senaryo üretiminde yüksek etkinlik sağladığı ama seslendirme ve duygusal bağ kurma alanlarında insan katkısına hâlen ihtiyaç duyduğu belirlenmiştir. Tematik analizler, reklamların ağırlıklı olarak duygusallık, empati ve inovasyon temalarını işlediğini göstermiştir. Ayrıca YZ’nin tüketici algısını etkilemede kültürel temsilleri ustaca kullandığı ve marka imajı üzerinde güçlü bir etkisi olduğu saptanmıştır. Çalışma sonuçları, pazarlama stratejilerinde yapay zekâ uygulamalarının teknik verimlilik temeline ek olarak kültürel ve duygusal duyarlılık temelinde tasarlanması gerektiğini göstermektedir. Gelecek araştırmalar için farklı kültürel bağlamlarda YZ reklamlarının kullanılması ve tüketici davranışı üzerindeki etkilerin ampirik yöntemlerle incelenmesi önerilmektedir.

Keywords

• Yapay Zekâ
• Reklam
• Göstergebilim
• Kültürel Mit
• Pazarlama İletişimi

References

1. Barthes, R. (1977). Image, music, text (S. Heath, Trans.). Fontana Press. (Original work published 1972)
2. Coggan, G. (2022, August 2). Heinz asked AI to 'draw ketchup' (and it went remarkably well). Creative Bloq. https://www.creativebloq.com/news/heinz-ai-draw-ketchup Erişim tarihi: 29.03.2025.
3. Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial intelligence in advertising: Advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization. SAGE Open, 13(4). https://doi.org/10.1177/21582440231210759
4. Gu, C., Jia, S., Lai, J., Chen, R., & Chang, X. (2024). Exploring consumer acceptance of AI-generated advertisements: From the perspectives of perceived eeriness and perceived intelligence. Journal of Theoretical and Applied Electronic Commerce Research, 19(3), 2218–2238. https://doi.org/10.3390/jtaer19030108
5. Gürsoy, A. Ö., & Şavk, S. (2024). From scriptor to promptor: An evaluation of the status of authorship, authenticity, and creativity in light of the use of artificial intelligence in screenwriting. ARTS: Artuklu Sanat ve Beşerî Bilimler Dergisi (12), 57–82. https://doi.org/10.46372/arts.1482636
6. Hammett, E. (2018, November 16). How Lexus programmed a machine to write the world’s first AI-scripted ad. Marketing Week. https://www.marketingweek.com/lexus-artificial-intelligence-advert Erişim tarihi: 28.03.2025.
7. Hue, T. T., & Hung, T. H. (2025). Impact of artificial intelligence on branding: A bibliometric review and future research directions. Humanities and Social Sciences Communications, 12, 209. https://doi.org/10.1057/s41599-025-04488-6
8. Lim, C., Zhu, Y., Omar, M., & Park, H. (2024). Decoding the relationship of artificial intelligence, advertising, and generative models. Digital, 4(1), 244–270. https://doi.org/10.3390/digital4010013

9. Lin, S. (2024). Research on the impact of artificial intelligence applications on the workflow of advertising agencies. Advances in Economics, Management and Political Sciences, 117(1), 106–110. https://doi.org/10.54254/2754-1169/117/20242031
10. Mermer, G. (2024, June 26). Toys ‘R’ Us’ın ‘neredeyse tamamı’ yapay zekâ ile üretilmiş reklam filmi. Bigumigu. https://bigumigu.com/haber/toys-r-usin-neredeyse-tamami-yapay-zeka-ile-uretilmis-reklam-filmi Erişim tarihi: 29.03.2025.
11. Oğuz, B. B. (2012). Sosyal medya dilinin görüntüsel gösterge boyutu ve bunun dile etkisi. Turkish Studies, 7(4), 1157–1166. https://doi.org/10.7827/TurkishStudies.4160
12. Peirce, C. S. (1931). Semiotics (Vol. 8, J. T. C. Netto, Trans.). Perspectiva.
13. Rodgers, S. (2021). Themed issue introduction: Promises and perils of artificial intelligence and advertising. Journal of Advertising, 50(1), 1–10. https://doi.org/10.1080/00913367.2020.1868233
14. Saral, E. (2020). Jakobson, Peirce ve Gestalt yaklaşımı üçgeninde müziğin iletişimsel yönü üzerine bir deneme. The Journal of Social Sciences, 44, 533–546. https://doi.org/10.29228/SOBIDER.41510
15. Saussure, F. de. (1959). Course in general linguistics (W. Baskin, Trans.). Philosophical Library.
16. Saussure, F. de. (2011). Course in general linguistics (P. Meisel & H. Saussy, Eds.; W. Baskin, Trans.). Columbia University Press.
17. Shumanov, M., Cooper, H., & Ewing, M. (2021). Using AI-predicted personality to enhance advertising effectiveness. European Journal of Marketing, 56(6), 1590–1609. https://doi.org/10.1108/ejm-12-2019-0941
18. The Coca-Cola Company. (2023, March 20). Coca-Cola invites digital artists to create Real Magic using new AI platform. https://www.coca-colacompany.com/media-center/coca-cola-invites-digital-artists-to-create-real-magic-using-new-ai-platform Erişim tarihi: 15.04.2025.
19. Turner-Henderson, T. (2025). Network models: Triggering marketing network effects with AI. International Journal of Artificial Intelligence in Business and Management, 1(1), 1–16. https://doi.org/10.4018/IJAIBM.365343
20. Wortel, C., Vanwesenbeeck, I., & Tomas, F. (2024). Made with artificial intelligence: The effect of artificial intelligence disclosures in Instagram advertisements on consumer attitudes. Emerging Media, 2(3), 547–570. https://doi.org/10.1177/27523543241292096
21. Yim, A., Liska, L., Mu, Y., & Thakkar, M. (2025). I feel no empathy toward AI: The effects of AI vs. human spokespersons on advertisement effectiveness. Journal of Research in Interactive Marketing. https://doi.org/10.1108/JRIM-11-2024-0536