Emerging technologies applied in LLM models for advertising in micro-businesses 14 9
DOI:
https://doi.org/10.51896/vzc8ka13Keywords:
Emerging Technologies, Digital Marketing, MicrobusinessesAbstract
In an increasingly digitalized business environment, microbusinesses face significant barriers to competing effectively in digital markets, including economic limitations, lack of marketing knowledge, and a pronounced technological gap. This project proposes the evaluation of Large Language Models (LLMs), based on generative artificial intelligence, as a strategic tool for the design and execution of digital advertising campaigns. The research focuses on analyzing how these emerging technologies can optimize processes, reduce costs, and facilitate decision-making in the creation of marketing strategies for early-stage businesses. Through the study of real sector needs, the identification of suitable tools, and the development of a proprietary methodological framework, the project seeks to demonstrate the feasibility of AI as an accessible and efficient ally. As a result, a practical model is expected to be provided that enables entrepreneurs to improve their visibility, positioning, and reach in digital environments, thereby promoting their growth and competitiveness. This approach integrates technological innovation with administrative management, strengthening the strategic role of Administrative Informatics in the digital transformation of microbusinesses.
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Navarro, D. A. G., López, R. A. A., Domínguez, M. M., & De León Castañeda, C. D. (2018). La brecha digital: una revisión conceptual y aportaciones metodológicas para su estudio en México. Entreciencias Diálogos En la Sociedad del Conocimiento, 6(16). https://doi.org/10.22201/enesl.20078064e.2018.16.62611
Stryker, C., & Scapicchio, M. (2025, noviembre 26). ¿Qué es la IA generativa? Ibm.com. https://www.ibm.com/mx-es/think/topics/generative-ai
Stryker, C. (2025, 26 noviembre). Modelos de lenguaje de gran tamaño. IBM Think. https://www.ibm.com/mx-es/think/topics/large-language-models
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