Automated Social Media Advertising Poster Design Using a Multi-Agent AI Framework

Christiana Naida Putri, Kemas Rahmat Saleh Wiharja

Abstract


This study proposes an automated system for social media advertising poster generation using a role-based multi-agent architecture implemented with CrewAI. The system decomposes the design task into three sequential agents responsible for text generation, visual asset recommendation, and grid-based layout optimization. A formal 12×12 discrete layout model is employed to represent spatial constraints, enabling consistent and structured poster composition. System performance was evaluated through user testing involving five respondents using a five-point Likert scale. The results show mean scores of 3.2 for content completeness, 3.6 for layout consistency, 3.8 for text relevance, and an overall performance mean of 3.4 (SD = 0.15), indicating satisfactory usability. From an applied mathematics perspective, this work contributes a computational layout formulation using grid discretization and rule-based optimization, as well as a quantitative evaluation of multi-agent coordination efficiency. The proposed framework demonstrates that agentic AI can effectively support structured visual content generation while maintaining user-controlled refinement.

Keywords


Agent; CrewAI; Multi-agent; Visual Content Creation

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References


REFERENCES

T. Eloundou, S. Manning, P. Mishkin, and D. Rock, "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Mar. 2023, [Online]. Available: http://arxiv.org/abs/2303.10130

T. Guo et al., "Large Language Model based Multi-Agents: A Survey of Progress and Challenges," Apr. 2024, [Online]. Available: http://arxiv.org/abs/2402.01680

N. Bonafix, O. Frans, N. Latif CM, and Ardiyan, "ANALISIS PENGGUNAAN ARTIFICIAL INTELLIGENCE SEBAGAI BAGIAN DARI SEBUAH KARYA VISUAL MULTIMEDIA," INFOTECH journal, vol. 10, no. 2, pp. 333-342, Dec. 2024, doi: 10.31949/infotech.v10i2.12083.

M. Muhaemin and G. Artikel, "Analisis Pemanfaatan Artificial Intelligence (AI) sebagai Referensi dalam Desain Komunikasi Visual Analysis of Utilizing Artificial Intelligence (AI) as a Reference in Visual Communication Design Article Info ABSTRAK," 2023. [Online]. Available: https://journal.universitasbumigora.ac.id/index.php/sasak/workflow/index/868/5❒71JournalSasak:https://journal.universitasbumigora.ac.id/index.php/sasak/index

Y. A. Reza and H. Kristanto, "PERKEMBANGAN TEKNOLOGI AI DALAM DESAIN GRAFIS: SEBUAH TINJAUAN LITERATUR," 2024.

J. Li, J. Yang, J. Zhang, C. Liu, C. Wang, and T. Xu, "Attribute-conditioned Layout GAN for Automatic Graphic Design," Sep. 2020, [Online]. Available: http://arxiv.org/abs/2009.05284

C.-Y. Cheng, F. Huang, G. Li, and Y. Li, "PLay: Parametrically Conditioned Layout Generation using Latent Diffusion," Jun. 2023, [Online]. Available: http://arxiv.org/abs/2301.11529

A. D. Ramadhanti, K. R. S. Wiharja, A. Nurzakiah, and Y. Yustiawan, "Layout Generation: Automated Components Placement for Advertising Poster using Transformer-Based from Layout Graph," Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Aug. 2024, doi: 10.22219/kinetik.v9i4.2035.

J. Lin et al., "AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation," in MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, Association for Computing Machinery, Inc, Oct. 2023, pp. 1250-1260. doi: 10.1145/3581783.3611930.

T. Yang, Y. Luo, Z. Qi, Y. Wu, Y. Shan, and C. W. Chen, "PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM," Nov. 2024, [Online]. Available: http://arxiv.org/abs/2406.02884

Z. Zhang, X. Zhang, J. Wei, Y. Xu, and C. You, "PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs," Aug. 2025, [Online]. Available: http://arxiv.org/abs/2508.17188

L. Dai, Y.-H. Jiang, Y. Chen, Z. Guo, T.-Y. Liu, and X. Shao, "Agent4EDU: Advancing AI for Education with Agentic Workflows," in Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education, New York, NY, USA: ACM, Nov. 2024, pp. 180-185. doi: 10.1145/3722237.3722268.

Z. Duan and J. Wang, "Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI," Nov. 2024, [Online]. Available: http://arxiv.org/abs/2411.18241

P. Venkadesh, S. V. Divya, and K. S. Kumar, "Unlocking AI Creativity: A Multi-Agent Approach with CrewAI," Journal of Trends in Computer Science and Smart Technology, vol. 6, no. 4, pp. 338-356, Dec. 2024, doi: 10.36548/jtcsst.2024.4.002.

Deeplearning.ai, "Practical Multi-AI Agents and Advanced Use Cases with CrewAI," Deeplearning.ai.

Y. Cheng et al., "Graphic Design with Large Multimodal Model," Apr. 2024, [Online]. Available: http://arxiv.org/abs/2404.14368

R. Brioschi et al., "Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation," Oct. 2025, [Online]. Available: http://arxiv.org/abs/2510.27632

Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An early look at the labor market impact potential of large language models. arXiv. http://arxiv.org/abs/2303.10130

Guo, T., et al. (2024). Large language model based multi-agents: A survey of progress and challenges. arXiv. http://arxiv.org/abs/2402.01680

Bonafix, N., Frans, O., Latif CM, N., & Ardiyan. (2024). Analisis penggunaan artificial intelligence sebagai bagian dari sebuah karya visual multimedia. INFOTECH Journal, 10(2), 333-342. https://doi.org/10.31949/infotech.v10i2.12083

Muhaemin, M., & Artikel, G. (2023). Analisis pemanfaatan artificial intelligence (AI) sebagai referensi dalam desain komunikasi visual. Journal Sasak. https://journal.universitasbumigora.ac.id/index.php/sasak

Reza, Y. A., & Kristanto, H. (2024). Perkembangan teknologi AI dalam desain grafis: Sebuah tinjauan literatur.




DOI: http://dx.doi.org/10.30829/zero.v9i3.27563

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