AUTOTRENDYKEYWORDS: REAL-TIME AI-DRIVEN TREND-BASED SEO USING LLMS
DOI:
https://doi.org/10.34218/IJCET_16_03_018Keywords:
Artificial Intelligence (AI), Search Engine Optimization (SEO), Large Language Models (LLMs), SEO Strategy, Trend Monitor-ing, Automated SEOAbstract
Considering the evolution of Search Engine Optimization (SEO) methods, it is crucial to generate and update relevant key-words continuously based on trends in a dynamic method to maintain the relevance and visibility of a web page, which en-hances user engagement. To automate the process of continuous SEO, this paper proposes a method called Auto-TrendyKeywords to leverage Large Language Models (LLMs) to automate the constant generation of SEO keywords and the selection of trending keywords based on changing data. Unlike the manual selection method, the new system automates the selection using real-time trend data. This unsupervised approach ensures up-to-date relevance of the page and can ensure satisfactory traffic for pages in unpopular languages when the web is dominated by content in popular languages. The meth-od streamlines the keyword update process for digital content creators and marketers by eliminating the need for manual intervention, thereby constantly ensuring visibility across search results. The system has wide-ranging societal benefits, such as facilitating access to desired information and promoting diverse languages. The system successfully generated keywords using an LLM, selected the most trending keywords, and integrated the keywords and the description into HTML code. The system generated short URL paths that contain the trending keywords.
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Copyright (c) 2025 Praneeth Vadlapati (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
