An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System

Daru ; April Firman ; Christanto ; Febrian Wahyu ; Prathivi ; Rastri ; Prasetyo ; Dimas ; Firdaus ; Eryan Ahmad
International Journal of Information Technology an... 📅 2026 Vol 8, No 2 🔗 DOI: 10.24246/ijiteb.822026.8-17
Abstract
The increasing demand for scalable and high-quality digital marketing content has exposed limitations in traditional manual copywriting processes, which are time-intensive and difficult to scale. This research proposes an adaptive AI-driven copywriting framework that integrates a full-stack web architecture with optimized prompt engineering strategies for automated content generation. The system is implemented using React.js for the frontend, Node.js with Express for backend services, and a GPT-based API for language generation. Unlike prior implementations, this research introduces a structured prompt optimization mechanism to enhance content relevance and consistency. Experimental evaluation was conducted using multiple datasets of marketing prompts, with comparisons against baseline GPT usage and manual copywriting. Quantitative results show that the proposed system achieves improvements in BLEU (+18.7%) and ROUGE-L (+21.3%) scores over baseline methods. Human evaluation involving 30 participants indicates a significant increase in perceived content quality, coherence, and persuasiveness (p < 0.05). System performance analysis demonstrates an average response time of 1.8–3.0 seconds and a GTmetrix performance score of 82%. The findings confirm that the proposed framework significantly enhances efficiency, scalability, and content quality, contributing to both applied AI systems and intelligent web-based content production.
Keywords
Artificial Intelligence (AI); Content Generation; GPT API Integration; React–Node JS; AI-Assisted Copywriting
How to Cite

Daru, et al. (2026). An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System. International Journal of Information Technology and Business (IJITEB), 8(2). https://doi.org/10.24246/ijiteb.822026.8-17

Daru, April Firman; Christanto, Febrian Wahyu; Prathivi, Rastri; Prasetyo, Dimas; Firdaus, Eryan Ahmad, "An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System," International Journal of Information Technology and Business (IJITEB), vol. 8, no. 2, 2026.

Daru, April Firman; Christanto, Febrian Wahyu; Prathivi, Rastri; Prasetyo, Dimas; Firdaus, Eryan Ahmad. "An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System." International Journal of Information Technology and Business (IJITEB), vol. 8, no. 2, 2026.

Daru, April Firman; Christanto, Febrian Wahyu; Prathivi, Rastri; Prasetyo, Dimas; Firdaus, Eryan Ahmad. "An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System." International Journal of Information Technology and Business (IJITEB) 8, no. 2 (2026).

Daru, et al. (2026) 'An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System', International Journal of Information Technology and Business (IJITEB), 8(2). doi: 10.24246/ijiteb.822026.8-17.

Daru, April Firman; Christanto, Febrian Wahyu; Prathivi, Rastri; Prasetyo, Dimas; Firdaus, Eryan Ahmad. An Adaptive AI-Driven Copywriting Framework: Design, Implementation, and Evaluation of a Web-Based GPT-Integrated Content Generation System. International Journal of Information Technology and Business (IJITEB). 2026;8(2).

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