Modern SEO: Search Engine Optimization and AI Search Integration

Search engine optimization is evolving rapidly with the integration of artificial intelligence. To stay competitive, modern SEO specialists must understand not only how traditional search engines rank content, but also how AI-driven search models retrieve and display information. This text-based course guides you through the entire SEO process, from foundational search mechanics to advanced AI-assisted optimization strategies. You will progress from understanding basic web crawlers to building comprehensive semantic cores and utilizing AI tools to streamline your daily SEO workflows. What you'll learn: - Understand search engine algorithms, indexing processes, and modern ranking factors. - Build a comprehensive semantic core and perform keyword research using modern analytical tools. - Optimize on-page elements, technical site structure, and schema markup for both traditional and AI-driven search engines. - Apply AI tools and prompt engineering to accelerate content planning, keyword grouping, and metadata generation. - Analyze website performance and search visibility using key SEO metrics and diagnostic tools. The course starts with essential terminology and search architecture before moving into keyword research, technical optimization, and modern AI workflows. You will practice these concepts through written exercises and real-world scenarios. Designed specifically for beginners, marketing enthusiasts, and aspiring SEO specialists, this course requires no prior technical background or SEO experience. Start your journey into the future of search engine optimization today.