Artificial Intelligence and the Reshaping of SEO: A Quantitative Analysis of AI-Driven Content Effects on Search Algorithms


Authors : Tejaswi Suresh

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/yde2e4u3

Scribd : https://tinyurl.com/yexfu9f7

DOI : https://doi.org/10.5281/zenodo.10251105

Abstract : What follows is a discussion of how Search Engine Optimisation (SEO) might benefit from the use of AI. Classifiers and statistical models, fuzzy logic, and evolutionary computation are the three main approaches to artificial intelligence. Using this framework, the author searches for scholarly articles that discuss the various ways AI is being used in search engine optimisation. Application of Support Vector Machine and K-Nearest Neighbour Algorithm were among the many prototypes that were obtained. Other examples are Polidoxa and the Fuzzy Inference System. Commercial programmes included SPSS Clementine the SearchDex Hyperloop. The search engines' and SEO firms' insistence on algorithm secrecy limits the scope of their investigation.

Keywords : Algorithms, search engine optimisation, artificial intelligence.

What follows is a discussion of how Search Engine Optimisation (SEO) might benefit from the use of AI. Classifiers and statistical models, fuzzy logic, and evolutionary computation are the three main approaches to artificial intelligence. Using this framework, the author searches for scholarly articles that discuss the various ways AI is being used in search engine optimisation. Application of Support Vector Machine and K-Nearest Neighbour Algorithm were among the many prototypes that were obtained. Other examples are Polidoxa and the Fuzzy Inference System. Commercial programmes included SPSS Clementine the SearchDex Hyperloop. The search engines' and SEO firms' insistence on algorithm secrecy limits the scope of their investigation.

Keywords : Algorithms, search engine optimisation, artificial intelligence.

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