What You’ll Learn?

• Explain how modern search works and how search intent maps to content formats.
• Conduct keyword and topic research and convert it into a structured content plan.
• Design effective information architecture and internal linking systems.
• Optimize on-page elements such as titles, headings, internal links, and media.
• Identify and prioritize technical SEO issues affecting crawlability, indexing, and performance.
• Analyse Core Web Vitals and page performance issues and recommend improvements.
• Build authority through ethical link acquisition and digital PR strategies.
• Create an SEO reporting dashboard with meaningful KPIs and actionable insights.
• Apply AEO techniques such as FAQ formatting, answer blocks, and schema markup.
• Apply GEO practices that improve the likelihood of being referenced by AI assistants and generative search systems.

Course Description

This practical workshop builds end-to-end search visibility skills across three surfaces: traditional Search Engine Optimization (SEO), Generative Engine Optimization (GEO) for AI-assisted discovery, and Answer Engine Optimization (AEO) for rich results, featured snippets, and conversational answers.

Participants will learn how modern search engines crawl, index, retrieve, and rank information, and how those processes extend into AI-assisted discovery systems. The workshop emphasizes real implementation, including keyword research, site structure planning, technical diagnostics, content optimization, authority building, and performance measurement.

Participants will apply GEO and AEO techniques such as entity-first writing, structured data, answer-friendly formatting, and citation-ready content structures that increase the likelihood of being referenced by AI assistants. The course prioritizes practical application through real website analysis, tool-based exercises, and guided implementation tasks.