Generative Engine Optimization Training Course, Port Harcourt and Uyo

Generative Engine Optimization Training Course

 

Detailed Course Outline:

Module 1: Introduction to Generative Engine Optimization (GEO)

• Overview of SEO and its evolution.
• The rise of generative AI and its impact on search.
• Defining GEO: Concepts and principles.
• The benefits of integrating AI into SEO strategies.
• Introduction to popular generative AI models (e.g., GPT models, Bard, etc.).
• Ethical considerations of GEO.

Module 2: Mastering Prompt Engineering

• Understanding the anatomy of effective prompts.
• Techniques for crafting clear and specific prompts.
• Advanced prompt engineering strategies (e.g., few-shot learning, role prompting).
• Prompting for different content formats (e.g., blog posts, product descriptions, meta descriptions).
• Iterative prompt refinement and optimization.
• Tools that assist in prompt creation.

Module 3: Content Strategy and AI-Generated Content

• Developing a GEO-focused content strategy.
• Identifying content gaps and opportunities using AI.
• Generating high-quality, relevant content with AI.
• Adapting AI-generated content for different target audiences.
• Content editing and human oversight: Ensuring accuracy and quality.
• Using AI for content clustering, and topic modeling.

Module 4: Technical SEO for AI-Generated Content

• Optimizing website structure and architecture for AI-generated content.
• Ensuring crawlability and indexability of AI-generated pages.
• Implementing schema markup and structured data for AI-generated content.
• Managing duplicate content and canonicalization issues.
• Optimizing page speed and mobile-friendliness.
• Sitemap creation and optimization for AI content.

Module 5: Keyword Research and AI Assistance

• Using AI to expand keyword lists.
• Using AI to analyse keyword intent.
• Using AI to find long tail keywords.
• Competitor keyword analysis with AI.
• Using AI to find trending keywords.

Module 6: Optimizing AI-Generated Content for Search Engines

• Keyword optimization and natural language processing (NLP).
• Optimizing meta descriptions and title tags.
• Creating engaging and informative content that satisfies user intent.
• Building internal and external links to AI-generated content.
• Local SEO strategies for AI-generated content.
• Image and video optimization with AI assistance.

Module 7: Performance Analysis and Measurement

• Setting up tracking and analytics for GEO campaigns.
• Monitoring key performance indicators (KPIs) (e.g., organic traffic, keyword rankings, conversion rates).
• Analyzing data to identify areas for improvement.
• A/B testing and experimentation with AI-generated content.
• Reporting and communicating GEO performance.
• Using AI to anaylze large data sets from analytics.

Module 8: Advanced GEO Techniques and Future Trends

• Exploring emerging AI technologies and their applications in SEO.
• Integrating AI with other marketing automation tools.
• Staying ahead of algorithm updates and changes.
• Case studies of successful GEO implementations.
• The future of GEO and its impact on the search landscape.
• Using AI for personalized search experiences.

Assessment:

• Quizzes and knowledge checks after each module.
• Practical exercises and assignments.
• A final project: Developing and implementing a GEO strategy for a real-world scenario.
• Participation in discussion forums.