Utilizing LLMs for Enhancing Search Engine Optimization Strategies in Digital Marketing

This paper explores the use of Large Language Models (LLMs) to transform SEO practices in digital marketing. By leveraging LLM capabilities, the study enhances content creation, keyword research, meta descriptions, and technical SEO. Analyzing case studies from TechCrunch, Shopify, Health-line, HubSpot, and Airbnb, the research shows a 35% average increase in organic traffic, a 15-position improvement in keyword rankings, a 20% reduction in bounce rates, and a 25% rise in user engagement. The study offers practical recommendations for integrating LLMs into SEO strategies, discusses challenges and limitations, and suggests future research directions to further explore LLM potential in digital marketing.