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

Full Text:

PDF

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

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Publisher :
Department of Mathematics
Faculty of Science and Technology
Universitas Islam Negeri Sumatera Utara Medan
📱 WhatsApp:085270009767 (Admin Official)
SINTA 2 Google Scholar CrossRef Garuda DOAJ