Optimizing Aviation MRO Content Marketing: A Case Study Using GPT-4 and AviationGPT for Content Generation

Abstract

This thesis is an attempt to investigate how “GPT4” and “AviationGPT” as generative artificial intelligence models are applied in the development of B2B marketing content for the maintenance, repair and overhaul in the aviation industry. As a result of
the increasing use of digital content marketing and the revolutionary effects of artificial intelligence known as AI, this research fills a significant gap in understanding how AIpowered tools can enhance content development without undermining the role of creativity and contextual knowledge of humans. A mixed methods approach to analysis is applied in this study, and two case studies are central to the research. In the first case study, GPT4 is evaluated for its ability to come up with new and relevant content ideas for the MRO industry based on trends, industry relevance and the right type of content.
The second case study compares three groups of content: AI-generated content, humangenerated content, and AI-enhanced-human-generated content (using AviationGPT) in terms of readability, engagement, clarity, and strategic alignment. The results indicate that the AI-generated/enhanced content always outperformed the human-written content in terms of accuracy, time management, and user interaction. The statistical analyses, including ANOVA and Tukey’s HSD, showed that there are substantial differences in the performance of the approaches, which support the concept of a cooperative framework.
This study proposed a human-AI integration model that leverages the quick, scalable, and accurate analytical capabilities of AI in conjunction with human talent and emotional intelligence to improve content development. This research can be useful for scholars, content developers, and markers in the aviation MRO industry. It provides a how-to guide for the effective integration of AI in marketing strategies while also ensuring that the resulting content is compliant with industry regulations. The compatibility of this study between the strengths of AI and humans increases the growth of B2B content marketing and its prospect for growth in other content-related businesses. It also addresses ethical issues such as equity, privacy, labor conditions and social impact to
ensure that the AI for change is used conveniently in a sustainable and responsible way.