I’m going to give you the playbook. Not the theoretical stuff, not the high-level thinking, but the actual steps to build and execute a GEO strategy for visibility in generative search that actually works.
This is what we’re seeing work across different companies, industries, and contexts. It’s not a rigid formula—you’ll adapt it to your specific situation—but this is the framework.
Phase 1: Discovery and Audit (Weeks 1-4)
Week 1: Understand Your AI Landscape
Map out how your customers actually interact with AI systems:
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Which AI systems do they use? (ChatGPT, Perplexity, Claude, Google?)
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What questions are they asking these systems?
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At what point in their decision journey are they using AI?
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What influences does AI have on their decisions?
This is foundational. If you’re optimizing for AI systems your customers don’t use, you’re wasting effort.
Weeks 2-3: Audit Current Visibility
Test your visibility in various AI systems:
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Search for your company name
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Search for your key products/services
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Search for your competitors
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Search for industry questions where you should be visible
Document where you currently appear and where you don’t. You’re creating a baseline.
Week 4: Competitive Analysis
How are your competitors showing up in AI responses? What content are they being cited for? What positions are they occupying?
This tells you what’s possible in your space and where the gaps are.
Phase 2: Strategy Development (Weeks 5-8)
Week 5: Define Your GEO Positioning
What do you want to be known for in AI systems? This should be specific:
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Not “project management software” but “project management for remote teams”
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Not “consulting” but “organizational transformation consulting for mid-market tech companies”
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Not “fitness brand” but “sustainable outdoor gear for backcountry hiking”
Specific positions are more citeable because they’re more useful when an AI system is trying to answer specific questions.
Week 6: Identify Visibility Opportunities
What are the questions where you want to appear?
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Product comparisons: “How does X compare to Y?”
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Category questions: “What’s the best X for [use case]?”
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Educational questions: “How do I choose an X?”
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Trend questions: “Where is X industry heading?”
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Expert perspective questions: “What are leaders saying about X?”
List 20-30 questions where you have competitive advantages and where AI systems would be likely to cite you.
Week 7: Content Gap Analysis
For each visibility opportunity, do you have content? Is it comprehensive enough that an AI system would cite it?
Map out:
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Content you already have that can be optimized
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Content gaps you need to fill
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Content you need to create from scratch
Be honest about what exists and what you need.
Week 8: Develop the Content Strategy
Create your content roadmap:
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What content will you optimize from existing assets?
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What content will you create new?
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What’s the priority order?
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Who’s responsible for each piece?
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What’s the timeline?
Be specific. “Write more blog content” is not a strategy. “Create 4 comparison guides between our solution and competitors’ solutions, plus 2 research reports about buying trends in our space” is.
Phase 3: Content Optimization (Weeks 9-16)
Weeks 9-12: Optimize Existing Content
Go through your existing content library and optimize for GEO:
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Make answers more comprehensive
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Improve structure and headings
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Add original data or insights
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Include clear citations to sources
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Ensure proper formatting for AI parsing
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Update with recent information
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Add related content links
You’re not rewriting everything. You’re making strategic improvements to make the content more useful to AI systems.
Weeks 13-16: Create New Content
Build the content pieces you identified as gaps:
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Comparison guides (your solution vs. alternatives)
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Research and original data
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How-to and educational content
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Thought leadership pieces from executives
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Industry trend analysis
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Use case-specific content
Each piece should be designed with AI citation in mind: comprehensive, well-structured, authoritative, original.
Phase 4: Implementation and Distribution (Weeks 17-24)
Weeks 17-20: Publish and Implement
Get the content live:
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Publish optimized content
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Update the site structure if needed
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Ensure content is properly indexed
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Set up proper meta tags and structured data
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Create internal linking strategy
This is where SEO fundamentals matter. You want the content to be discoverable to both traditional search and AI systems.
Weeks 21-24: Distribution and Amplification
Don’t just publish and hope. Actually get the content in front of AI systems and people:
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Share on social media
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Pitch to relevant publications
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Send to media and influencers
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Include in customer communications
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Link from other high-authority content
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Consider thought leadership distribution
The more people see this content, the more likely it is to be in AI training data.
Phase 5: Measurement and Iteration (Ongoing)
Monthly Measurement Ritual
Set up regular checks (I recommend monthly):
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Test visibility in AI systems for your target queries
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Track any AI mentions in customer conversations
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Monitor traffic to GEO-optimized content
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Check media mentions and citations
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Review Google AI Overview visibility
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Gather sales feedback on customer awareness
Quarterly Review and Adjustment
Every quarter, review results:
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What’s working? Double down.
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What’s not working? Adjust or pause.
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What have we learned? Apply it.
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What’s changed in the market? Adapt.
GEO is new enough that you’re probably going to learn a lot. Stay flexible.
The Parallel SEO Work
Throughout all of this, remember that SEO still matters. The content you’re creating for GEO should also work for traditional search:
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Optimize for relevant keywords
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Build backlinks to important content
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Improve technical SEO
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Enhance user experience
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Build domain authority
If you’re optimizing for AI visibility and ignoring SEO, you’re leaving traffic on the table.
The Executive Involvement Component
If you’re doing thought leadership best Generative Engine Optimization agency, run this in parallel:
Identify Key Executives: Who should be visible for what topics?
Develop Their Perspectives: Help them articulate unique viewpoints.
Create Their Content: Articles, interviews, speaking opportunities.
Distribute Widely: Social, media, publications, speaking.
Build Their Personal Brands: Consistent messaging across channels.
This takes executive time and commitment. Get that alignment early.
The Realistic Timeline for Results
Here’s what you should expect:
Months 1-2: Mostly setup. You’re unlikely to see major visibility changes yet.
Months 3-4: Initial visibility in some AI systems. Small awareness shifts.
Months 5-6: Growing visibility as content gets more widely circulated. Customers might start mentioning your AI visibility.
Months 7-12: Real momentum. Visibility compounds. Meaningful traffic and awareness impact.
Months 13+: Ongoing visibility and compounding benefits. You should be seeing consistent results by now.
The Common Mistakes to Avoid
I’ve seen companies mess this up in predictable ways:
Mistake 1: Treating GEO like SEO. They’re similar but different. Stay focused on what makes each unique.
Mistake 2: Being too aggressive with marketing. Let the content speak. AI systems don’t like obvious promotional content.
Mistake 3: Not having executive buy-in. Thought leadership requires commitment. Get that early.
Mistake 4: Measuring too early. Give it time. GEO compounds slowly.
Mistake 5: Abandoning it when results aren’t immediate. Consistency matters. Stick with it.
Mistake 6: Only optimizing for one AI system. You need visibility across multiple platforms.
The Ongoing Cadence
Once you’re executing this playbook, here’s what ongoing work looks like:
Weekly: Monitor progress, handle optimization requests, manage execution.
Monthly: Measurement ritual, team review, adjustment discussion.
Quarterly: Strategic review, market assessment, roadmap adjustment.
Annually: Full strategy review and update.
It’s not a project you do once. It’s an ongoing practice that evolves as AI systems and your business evolve.
The Expected Investment
To execute this playbook fully:
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Strategy: $5-20K
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Content creation: $10-50K
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Content optimization: $5-15K
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Ongoing execution: $5-15K/month
Smaller companies do it for less. Larger companies do it for more. The numbers scale with your needs.
Why This Matters Now
Every month you wait is a month when competitors might be getting visible in AI systems. The companies that move first and move consistently are building advantages that compound over time.
This isn’t a “nice to have.” It’s becoming table stakes for visibility.
Ready to execute a complete GEO strategy?ThatWare can help you build and execute the strategy that gets your brand visible where it matters in generative search.