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The internet has become an indispensable resource for accessing information. In this digital ecosystem, search engines play a crucial role in helping users find the most relevant content for their queries. This study aims to investigate how the application of Artificial Intelligence in content optimization can improve the relevance and accuracy of search results in Search Engine Optimization. Using an exploratory and descriptive methodology, the research explores the intersection between On-page and Off-page Search Engine Optimization techniques and AI, highlighting the application of Artificial Intelligence technologies such as natural language processing and machine learning. The results show that Artificial Intelligence has a significant impact on On-page Search Engine Optimization techniques, both in terms of the accuracy and relevance of search results. The research reveals that Artificial Intelligence can improve On-page Search Engine Optimization techniques, such as the optimization of Meta Tags and Title Tags, and On-page and Off-page Search Engine Optimization strategies. It is concluded that the integration of Artificial Intelligence into Search Engine Optimization strategies represents a significant evolution in digital marketing, offering more sophisticated and efficient methods for search engine optimization.
Camossi et al. (Mon,) studied this question.