Mastering Generative Engine Optimization (GEO) Training by Tonex
Mastering Generative Engine Optimization (GEO) Training is a 2-day course where participants learn how generative engines like ChatGPT, Bing Copilot, and Google Gemini influence discovery as well as learn to differentiate GEO from traditional SEO and SEM.
Generative Engine Optimization (GEO) has emerged as a game-changer.
As traditional search engines evolve into AI-powered platforms like ChatGPT, Perplexity, and Google’s Search Generative Experience (SGE), the rules of visibility and discovery are being rewritten.
What Is Generative Engine Optimization?
GEO is the practice of optimizing content so that it appears as a cited or recommended source in generative AI outputs. Instead of just aiming for high placement in Google’s organic search results, GEO focuses on visibility in AI-generated answers.
These answers often synthesize information from multiple sources, meaning your content needs to be both authoritative and structured in a way that AI models can easily understand and cite.
Why Is GEO Suddenly Gaining Attention?
The rise of generative AI tools has dramatically changed how users interact with information. Instead of clicking through multiple links, users now get concise answers directly from AI assistants. This shift is shrinking traditional organic traffic — especially for informational queries — and digital marketers are taking notice.
As platforms like ChatGPT and Google’s SGE inte
grate generative responses into search, the competition is no longer just for the top SERP spot but also for inclusion in AI-generated summaries. Being cited in a generative answer can build brand authority, drive qualified traffic, and establish thought leadership — all crucial elements in modern content strategy.
How Can GEO Be Used Effectively?
To optimize for generative engines, marketers should:
- Create high-quality, authoritative content that answers specific user queries clearly and concisely.
- Structure content semantically, using clean headings, bullet points, and schema markup where possible.
- Build topical authority through consistent, niche-focused publishing that showcases subject-matter expertise.
- Cite credible sources and provide accurate, up-to-date information to increase the likelihood of being trusted by AI models.
- Monitor AI platforms to see how your content is being referenced and adapt strategies accordingly.
Ultimately, GEO is about understanding how AI systems source and synthesize information — and positioning your content to become a go-to resource. As AI-generated search becomes the norm, brands that embrace GEO early will gain a significant competitive advantage.
Mastering Generative Engine Optimization (GEO) Training by Tonex
- Duration: 2 Days (16 hours total)
- Format: In-person or Virtual Interactive Workshop
Target Audience:
- SEO professionals
- Digital marketers
- AI product teams
- Content creators
- Web developers
- Brand and content strategists
Workshop Objectives
By the end of this workshop, participants will be able to:
- Understand how generative engines like ChatGPT, Bing Copilot, and Google Gemini influence discovery.
- Differentiate GEO from traditional SEO and SEM.
- Design content and data structures optimized for generative engines.
- Implement prompt engineering, schema markup, and content tuning strategies for GEO.
- Evaluate performance metrics for generative traffic and content visibility in LLMs.
Course Outlines:
DAY 1: Foundations of Generative Engine Optimization
Session 1: Introduction to GEO
Time: 9:00 AM – 10:30 AM
- What is GEO?
- Evolution from SEO to GEO
- Role of LLMs in content retrieval and summarization
- Types of generative engines (closed vs open models)
- Case studies: ChatGPT, Perplexity, Bing Chat
Exercise: Analyze a ChatGPT-generated answer—identify source attribution, missing sources, and language tone.
Session 2: How Generative Engines Retrieve and Synthesize Content
Time: 10:45 AM – 12:15 PM
- Retrieval-Augmented Generation (RAG) explained
- Sources of truth: webpages, PDFs, structured data
- LLM memory, context windows, and content embedding
- Google’s SGE vs Bing Copilot vs ChatGPT browsing behavior
Exercise: Compare how 3 generative engines respond to the same query and evaluate differences.
Session 3: Content for LLMs vs Content for Humans vs Bots
Time: 1:15 PM – 3:00 PM
- LLM-friendly writing: tone, clarity, chunking
- Structured knowledge (FAQ, how-to, data tables)
- Trust signals in content
- Metadata, ALT-text, and semantic markup for GEO
Workshop: Rewrite a blog post to optimize it for LLM inclusion.
Session 4: Advanced Prompting and Prompt Injection as a GEO Tactic
Time: 3:15 PM – 5:00 PM
- Prompt injection techniques and content framing
- Influencing LLM outputs using prompt design
- Creating “reference-worthy” blocks
- Risks and ethical considerations
Exercise: Design prompt structures that lead LLMs to summarize your brand content.
DAY 2: Implementing and Measuring GEO
Session 5: Technical Strategies for GEO
Time: 9:00 AM – 10:30 AM
- org and structured data
- JSON-LD for FAQs, How-tos, Reviews
- Open Graph and Twitter cards
- XML sitemaps and crawl optimization for LLM bots
Workshop: Add and test schema markup on a live site using Google’s Rich Results Test.
Session 6: Building Content Hubs for Generative Discovery
Time: 10:45 AM – 12:15 PM
- Topic authority and LLM signal amplification
- Hub-and-spoke content design
- Embedding knowledge bases in your site
- Connecting FAQs, glossaries, and whitepapers
Exercise: Map out a content hub strategy based on a chosen keyword cluster.
Session 7: Tools, GEO Metrics, and Reporting
Time: 1:15 PM – 3:00 PM
- Tools: ChatGPT browsing, Perplexity AI, Poe, SGE Preview
- GEO KPIs: citations, traffic lifts, prompt reach
- Attribution and LLM analytics (limitations and workarounds)
- Tools for monitoring GEO performance
Case Study Review: Audit your own domain’s appearance in LLM responses.
Session 8: GEO Playbooks, Compliance, and Future Trends
Time: 3:15 PM – 5:00 PM
- Generative brand strategy playbooks
- Legal and copyright concerns in LLM summarization
- AI-generated content and EEAT principles
- What’s next: API-level optimization, model fine-tuning for brands
- Summary, Q&A, Certificate distribution
Capstone Exercise: Create a 30-day GEO roadmap for your brand or site.
Workshop Materials
- Slide deck (PDF and PPTX)
- GEO Checklist (PDF)
- Schema Markup Templates (JSON-LD)
- Content Optimization Worksheet
- 30-Day GEO Action Plan Template
- Certificate of Completion
