The Nexus of AI and Linguistics: A Systematic Review of English Language Applications in Digital Marketing

The fast growth of artificial intelligence (AI) has brought major change in the digital marketing, moving it from simple data-driven strategies to more intelligence system. A key part of this change is the connection between AI and linguistics, especially in how English language is analyzed, generated, and understood. This systematic review provides a comprehensive and critical overview of how linguistic principles are computationally modeled and integrated into AI systems to architect modern digital marketing strategies. We conduct a rigorous analysis of foundational technologies, focusing on the development from statistical models to deep learning-based Natural Language Processing (NLP). The review critically examines key application domains, including hyper-personalized content optimization, advanced semantic search, conversational AI for customer engagement, and multimodal market intelligence. By deconstructing the symbiotic relationship between AI and linguistics, this paper shows significant advancements, identifies persistent theoretical and practical challenges (such as semantic ambiguity, algorithmic bias, and the "black box" problem), and maps the future development of AI-driven digital marketing. This synthesis is grounded in a methodical review of peer-reviewed scholarly articles, conference proceedings, and technical reports, offering a structured and nuanced understanding of this dynamic, high-impact interdisciplinary field.

Keywords:

Artificial Intelligence , Computational Linguistics , Digital Marketing , Natural Language Processing , Systematic Review , Transformer Models , Semantic Search , Marketing Ethics