Course Overview
AI SEO (GEO): Optimizing for Search & Generative AI Engines
This AI SEO (GEO) program equips participants with practical skills to optimize content not only for traditional search engines like Google Search, but also for AI-driven discovery platforms such as ChatGPT, Perplexity AI, and Google Gemini.
Participants will learn how SEO is evolving into Generative Engine Optimization (GEO)—where visibility depends on being referenced, summarized, and trusted by AI systems.
The training focuses on real business use cases, combining SEO fundamentals, AI content strategy, and prompt-driven workflows.
Learning Outcomes
By the end of the AI SEO (GEO) programme, participants will be able to:
- Understand the evolution from traditional SEO to AI-driven search (GEO) and how generative engines change content discovery
- Identify how AI platforms such as ChatGPT and Perplexity AI retrieve, evaluate, and present information
- Apply core SEO principles within an AI context, including intent, semantics, and entity-based optimisation
- Develop AI-optimised content structures that increase the likelihood of being cited and summarised by generative engines
- Evaluate content performance across both traditional search engines and AI-driven platforms
- Use AI tools effectively to generate, refine, and scale SEO content while maintaining accuracy and authority
- Design integrated search strategies that combine website, social, and community platforms for maximum visibility
- Assess opportunities and risks associated with AI-generated content, including accuracy, bias, and over-reliance on automation
- Build a practical GEO (Generative Engine Optimization) framework tailored to their business or organisation
Lead the transition towards AI-driven search strategies with a clear focus on long-term visibility, trust, and content authority
Who Should Attend
This AI SEO (GEO) programme is suitable for:
- Marketing Managers & Executives
- SME Business Owners
- Content Creators & Copywriters
- Digital Marketing Professionals
SEO Specialists transitioning into AI SEO
Course Content
Module 1: The Shift — SEO → GEO (AI Search Era)
- From keywords → context → intent → AI answers
- How AI engines “think” (retrieval + generation)
- Difference between:
- Traditional SEO ranking
- AI citation & summarization
Module 2: How AI Engines Rank & Select Content
- E-E-A-T in AI context (Experience, Expertise, Authority, Trust)
- Structured vs unstructured content
- Why Reddit, Quora, blogs dominate AI answers
- Content formats AI prefers:
- Lists
- Definitions
- Comparisons
- Step-by-step
Module 3: GEO Content Framework (AI-First Content Design)
- Answer-first writing
- Semantic layering
- Entity-based SEO
- Context stacking
Practical Structure:
- Question → Direct Answer → Expansion → Proof → Summary
Module 4: AI Tools for SEO & Content Creation
- ChatGPT → content drafting, structuring
- Perplexity AI → research & citations
- Microsoft Copilot → business writing & summarisation
- DeepSeek → alternative research engine
- AI suggests → Human validates → SEO refines
Module 5: Prompt Engineering for SEO (CLEAR Framework)
- Context
- Level/Role
- Expectation
- Audience
- Restriction
Hands-on:
- Blog article generation
- FAQ generation
- Product page optimization
Module 6: Optimizing for AI Visibility (GEO Techniques)
Techniques:
- Featured snippet optimization
- FAQ schema thinking (even without schema)
- Entity reinforcement
- Internal linking for context
Advanced Concept:
- “Citation SEO” → Writing to be quoted
Module 7: Multi-Platform SEO Strategy (Search + AI)
Platforms:
- Website SEO
- Social SEO (TikTok, YouTube)
- Community SEO (Reddit, forums)
Strategy:
- Own → Borrow → Amplify
- Own: website
- Borrow: platforms
- Amplify: AI mentions
Module 8: Measurement & Future Strategy
Objective: Track GEO performance
Metrics:
- Traditional:
- Traffic
- Rankings
