How do you train a marketing team on GEO? Need to build internal capability
Community discussion on training marketing teams for Generative Engine Optimization. Strategies for building internal GEO capability and knowledge.
I manage a team of 8 content writers. They’re great at traditional SEO, but when I mention GEO, I get blank stares or they think it’s just “new SEO.”
My training challenges:
What I need:
How have you successfully trained writers on GEO?
Here’s my proven GEO training curriculum for writers:
Module 1: The Mindset Shift (2 hours)
The most important thing first:
SEO mindset: “How do I rank for this keyword?” GEO mindset: “How do I provide the best answer that AI would cite?”
Use this exercise:
The key realization: AI doesn’t match keywords. It understands meaning. AI doesn’t count backlinks. It evaluates clarity and authority. AI doesn’t rank pages. It synthesizes and cites sources.
When writers truly understand this, everything else follows.
Module 2: Answer-First Writing (3 hours)
The old way: “In this article, we’ll explore… [300 words of intro]… The answer is…”
The GEO way: “The answer is [direct answer in first sentence]. Here’s why and how…”
Exercise: Give writers 5 existing intros. Have them rewrite as answer-first. Compare and discuss.
Rule of thumb: First 100-150 words should fully answer the main question. Everything after provides depth, not the core answer.
Module 3: Content Structure (3 hours)
Why structure matters for AI: AI systems parse structure explicitly. Vague headings = AI can’t extract information. Clear headings = AI knows exactly what each section answers.
Training exercises:
Exercise 1: Heading Transformation Bad: “Overview” Good: “What Is [Topic] and Why Does It Matter?”
Bad: “Details” Good: “How Does [Topic] Work Step by Step?”
Exercise 2: Paragraph Length Give writers a dense 200-word paragraph. Have them break it into 3-4 paragraphs, each with one idea.
Exercise 3: Table Creation Take comparison content written as prose. Convert to comparison table. Discuss why tables are more AI-friendly.
Formatting checklist for writers:
This structure makes content citable.
Module 4: E-E-A-T Signals (2 hours)
Writers often think E-E-A-T is a technical thing. It’s actually mostly about how they write.
Experience:
Expertise:
Authoritativeness:
Trustworthiness:
The author bio exercise:
Have each writer create a 150-word bio that includes:
Why this matters: AI systems evaluate author credibility. A well-crafted byline increases citation likelihood.
Writers need to see their personal brand as an SEO asset.
The exercises that actually build GEO skills:
Exercise 1: Before/After Analysis Show an article before and after GEO optimization. Have writers identify every change and explain why. This builds pattern recognition.
Exercise 2: AI Testing Have each writer test 10 prompts related to their content. Document: Are we cited? Where? What was extracted? This connects their work to real AI behavior.
Exercise 3: FAQ Creation Challenge Give a topic. 15 minutes to write 5 FAQs. Peer review: Are these questions people actually ask? Compare to People Also Ask data.
Exercise 4: Competitor Analysis Find content that IS getting cited by AI. Analyze: What makes it citable? List 5 specific things they do well.
Exercise 5: Full Page Optimization Each writer gets an existing page. Apply all GEO principles. Present to team, get feedback. Track if AI citations improve over 4 weeks.
Exercise 6: Schema-Aware Writing Explain FAQ schema basics. Have writers format FAQ sections correctly. They don’t implement schema, but write schema-ready content.
Practice beats theory every time.
Here’s how I explain GEO to SEO-trained writers:
What’s the same:
What’s different:
| Aspect | SEO Focus | GEO Focus |
|---|---|---|
| Primary goal | Rank for keywords | Get cited in AI answers |
| Content structure | Optimized for scanners | Optimized for extraction |
| Success metric | Rankings, clicks | AI mentions, citations |
| Keyword approach | Exact match, density | Semantic meaning, clarity |
| Competition | Page 1 rankings | Being the source AI cites |
The bridge analogy: SEO = Getting into the library (ranking) GEO = Being the book the librarian recommends (cited)
What this means for writing:
SEO writers already have 70% of the skills. GEO adds the final 30% for AI visibility.
Training doesn’t stick without feedback loops.
Immediate feedback:
Weekly feedback:
Monthly feedback:
Using Am I Cited for writer feedback: We show writers exactly which of their pieces are being cited. Nothing motivates like seeing your work in ChatGPT answers.
Our results: Before training: 12% of content GEO-optimized After 1 month: 45% of content GEO-optimized After 3 months: 85% of content GEO-optimized AI citations: Up 3x in 6 months
The secret: Make GEO visible and personal. When writers see their name in AI citations, they care.
Templates work better than rules.
GEO Article Template:
Introduction (100-150 words):
Section 1-N (each section):
FAQ Section:
Conclusion:
Meta requirements:
Why templates work: Writers don’t have to think about structure. They focus on content quality. GEO optimization becomes automatic.
Customize templates by content type:
Each has slightly different structure needs.
Writer mistakes to watch for:
Mistake 1: Burying the answer Writers trained on “hook” writing bury the answer. Fix: Answer must be in first paragraph.
Mistake 2: Vague headings “Key Considerations” tells AI nothing. Fix: “What Should You Consider Before [Action]?”
Mistake 3: Dense paragraphs 200+ word paragraphs are hard for AI to parse. Fix: One idea per paragraph, max 4 sentences.
Mistake 4: No FAQ section Writers think FAQs are optional. Fix: Every article needs 3-5 FAQs.
Mistake 5: Generic information “Many experts agree…” lacks authority. Fix: Specific data, named sources, real examples.
Mistake 6: Ignoring freshness Content published and forgotten. Fix: Build update dates into content calendar.
Mistake 7: Weak author attribution “Written by Staff” has no authority. Fix: Named author with credentials.
Editorial checklist catches these: Every piece reviewed against GEO criteria. Writers learn through consistent feedback.
How to know if training is working:
Content Quality Metrics: Track these for each writer:
AI Visibility Metrics:
Certification Levels:
Level 1: GEO Aware
Level 2: GEO Practitioner
Level 3: GEO Expert
Progress tracking:
| Writer | Level | Content Cited | Avg Review Score |
|---|---|---|---|
| Sarah | 3 | 15 pieces | 9.2/10 |
| James | 2 | 8 pieces | 8.5/10 |
| Maria | 2 | 11 pieces | 8.8/10 |
| Tom | 1 | 3 pieces | 7.2/10 |
This makes competency measurable and visible.
Training is not a one-time event.
Weekly (10 minutes in team meeting):
Monthly (30-60 minutes):
Quarterly (2 hours):
Just-in-time resources:
Make GEO part of culture:
Our ongoing cadence: Monday: GEO tip in standup Friday: Citation wins Slack post Monthly: GEO metrics review Quarterly: Training refresh
Consistent reinforcement > intensive one-time training
This gives me a complete training program. My implementation:
Week 1-2: Foundation
Week 3-4: Practice
Month 2: Application
Month 3: Mastery
Resources to create:
Success metrics:
Thanks all - this transforms our content team into GEO experts.
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Give your content team visibility into how their work performs in AI search. When writers see their content cited, GEO training sticks.
Community discussion on training marketing teams for Generative Engine Optimization. Strategies for building internal GEO capability and knowledge.
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