Impact of AI Generated Content and Perceived Personalization on Purchase Intention with Mediating Input of Brand Credibility in FMCG Industry in Pakistan
DOI:
https://doi.org/10.54938/ijemd-ss.2026.05.6.900Keywords:
AI generated contents, Perceived personalization, Purchase intention, Brand credibilityAbstract
This research study investigated the empirical impact of AI generated content and perceived personalization on purchase intention with mediating input of brand credibility in case of FMCG sector in Pakistan. It investigated both direct and indirect of AI generated content and perceived personalization on purchase along with the impact of AI generated content on perceived personalization in Pakistan. The study used quantitative research approach and employed deductive approach to build hypotheses. Those were tested with application of statistical techniques i.e. structural equation model using PLS-Smart as software. The study targeted the FMCG sector in Pakistan and used convenience sampling technique to extract with the required number of responses i.e. 384 using questionnaire as data collection tool. The study followed with the survey based method to collect with the required number of response in the limited period of time. The study revealed that there is significant impact of AI Generated Content on Brand Credibility, Perceived Personalization and Purchase Intention with coefficient value of 0.4294, 0.5758 and 0.5211having significance value of 0.0000, 0.000 and 0.000 respectively. There is also a significant impact of Perceived Personalization on Brand Credibility and Purchase Intention with coefficient value of 0.4857 and 0.3093 having significance value of 0.0000 and 0.0000 respectively. There is also a significant impact of Brand Credibility on Purchase Intention with coefficient value of 0.4574 having significance value of 0.0000. FMCG companies should develop accurate, engaging, and personalized AI-generated content to enhance brand credibility and consumer confidence. Marketers should ensure truthful product information, transparent communication, and alignment with customer preferences.
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[1] Ahmed, M., Shu, C., Hashmi, H. B. A., Luo, D., & Haider, S. W. (2026). “All is well”, really! Social media influencers, social media boycotts and consumer behavior in the MNFMCG context. Journal of Islamic Marketing, 17(5), 1721–1742.
[2] Aji, A. A., Yulisetiarini, D., Sudaryanto, S., & Paramu, H. (2026, July). Green Marketing in the Digital Economy Era: A Systematic Literature Review and Bibliometric Analysis of Emerging Trends and Future Research Directions. In Proceeding International Conference on Economics, Business and Information Technology (Vol. 7, No. 2, pp. 741–761).
[3] Alamro, A., Al-Gasawneh, J., Al Sokkar, A., Otair, M., Binkhamis, M., Momani, R., & Alshinwan, M. (2025). AI Integration and Digital Communication: The Cognitive Power of Brand Equity in the Jordanian Banking Industry. Journal of Computational and Cognitive Engineering.
[4] Ali, F. (2026). The influence of AI-Generated Personalized Content on Consumer Trust and Purchase Intentions: A Case of the Retail Industry (Doctoral dissertation, University of Jyväskylä).
[5] Arachchi, H. D. M., & Samarasinghe, G. D. (2025). Perceived attributes of artificial intelligence (AI) toward consumers’ AI attitudes and purchase intention in an AI powered retail shopping space. European Journal of Management Studies, 30(3–4), 243–267.
[6] Bashir, A. S., & Werke, S. Z. (2026). The Impact of Digital Marketing on Consumer Decision-making: A Systematic Review. American Journal of Operations Management and Information Systems, 11(1), 16–32.
[7] Biswas, S., Sanyal, A., Chouwdhury, A. R., & De, H. (2025). A soft computing approach for investigating the dominance of femluencing and brand evangelism on customers’ purchase intentions. Computer and Decision Making: An International Journal, 2, 645–670.
[8] Deng, H., Lan, Y., Chen, G., Zheng, Y., & Zhang, M. (2025). Sustainable marketing performance and responsive market orientation of enterprises in the context of digital transformation: A case study of the green consumer-goods industry. Sustainability, 17(17), 7995.
[9] Ezzat, A., Fouad, M., & Elsaadany, N. (2025). Examining the Mediating Role of Brand Image in the Relationship Between Content Marketing and Brand Loyalty in Egyptian Banking Sector. The Academic Journal of Contemporary Commercial Research, 5(3), 87–112.
[10] Fan, X., Xun, J., Dolega, L., & Xiong, L. (2025). The role of augmented and virtual reality in shaping retail marketing: A meta-analysis. Sustainability, 17(2), 728.
[11] Khan, Z. (2026). AI-powered Personalized Marketing and Consumer Purchase Decisions: Evidence from Pakistan's e-commerce Sector. Available at SSRN 6944018.
[12] Maqsood, R., Iqbal, J., & Karim, Y. (2026). AI-Driven Personalization and Consumer Loyalty in Emerging Markets: A Qualitative Study on Trust, Perceived Value, and Ethics in Digital Marketing Practices in Pakistan. Journal of Management Science Research Review, 5(1), 1919–1939.
[13] Mubdir, G. A., Hashim, S., Ayob, A. H., & Rosli, N. (2025). The Impact of Initial Formation Pathway on Customer Engagement and Repeat Purchase. Journal of Cultural Analysis and Social Change, 4070–4082.
[14] Mukhtar, U., & Ali Hamid, M. B. U. D. (2026). Digital synergy: Exploring the impact of social media influence, value co-creation and AI adoption on customer adoption. International Journal of Pharmaceutical and Healthcare Marketing, 1–23.
[15] Nguyen, M., & Nguyen, L. (2026). The Impact of Social Network Advertising Content Characteristics on V-Pop Concert Ticket Purchase Intention: Focusing on Vietnamese Gen Z Fans. Journal of Promotion Management, 1–21.
[16] Noor, U., Mansoor, M., & Shamim, A. (2024). Customers create customers! –Assessing the role of perceived personalization, online advertising engagement and online users' modes in generating positive e-WOM. Asia-Pacific Journal of Business Administration, 16(2), 392–409.
[17] Pierre, L. (2025). Exploring how brand use of artificial intelligence influences consumer perceptions and behavioral intentions through general AI attitudes and brand transparency. Journal of Current Issues & Research in Advertising, 1–25.
[18] Qayyum, A., Khan, T. I., Majid, A., Ul Hassan, S. R., & Jamil, R. A. (2025). AI-generated inclusive packaging: Bridging consumer well-being and branding outcomes. International Journal of Retail & Distribution Management, 53(10–11), 1009–1024.
[19] Rana, J., Gaur, L., Singh, G., Awan, U., & Rasheed, M. I. (2022). Reinforcing customer journey through artificial intelligence: A review and research agenda. International Journal of Emerging Markets, 17(7), 1738–1758.
[20] Razzaq, A., Khan, M. K., & Afzal, K. (2025). AI-Powered Personalization and Online Purchase Intention: A Moderated Mediation Analysis of Trust and Ease of Use. Journal of Management Science Research Review, 4(4), 1492–1518.
[21] Sharif, S., Rehman, S. U., Ahmad, Z., Albadry, O. M., & Zeeshan, M. (2024). Consumer quality management for beverage food products: Analyzing consumer’perceptions toward repurchase intention. The TQM Journal, 36(2), 431–459.
[22] Simatupang, R. A., Sukresna, I., Farida, N., & Situmorang, T. P. (2026). A Study on Social Media Marketing and Purchase Intention: A Self-Congruence Theory Perspective. Quality-Access to Success, 27(210), 402.
[23] Tariq, M. Z., Hussain, H., Mahmood, S., & Qadir, M. (2026). From Green Faces to Green Wallets: An Interplay of Green Brand Anthropomorphism, Dual-Trust Mechanisms, Green Brand Love and Eco-Label Credibility in Sustainable Consumption Intentions. Services Marketing Quarterly, 1–29.
[24] Ullah, N., Gulzar, M. F., & Arshad, A. A. (2025). Enhancing Consumer Purchase Intention in Pakistani Market: The Role of AI Personalization, Prediction Accuracy, and Real-Time Engagement. Asian American Research Letters Journal, 2(1), 69–74.
[25] Żyminkowska, K., & Zachurzok-Srebrny, E. (2025). The role of artificial intelligence in customer engagement and social media marketing—Implications from a systematic review for the tourism and hospitality sectors. Journal of Theoretical and Applied Electronic Commerce Research, 20(3), 184.
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Copyright (c) 2026 Syed Ali Nabeel Naqvi, Farhan Arshad, Sana Azher, Muhammad Umair Khalid, Shakeel Ahmed

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