FREE GUIDE
The GEO Playbook
Most brands are invisible to AI engines - not because their product is weak, but because their content is not structured the way AI systems extract and cite information.
This playbook is everything we have learned running GEO campaigns for B2B brands: how the four major AI engines actually select sources, what technical signals they rely on, and the exact 90-day rollout we use with clients. Written to be acted on, not filed away.
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WHAT IS INSIDE
What Is Inside the GEO Playbook
The 4-Engine Source-Selection Breakdown
ChatGPT, Claude, Perplexity, and Gemini do not rank sources the same way Google does. Each engine has a different retrieval logic, citation weighting, and trust signal hierarchy. We map all four so you know exactly where to focus.
Answer-First Content Architecture
AI engines extract answers, not articles. We show you the exact structural pattern - the 40-60 word extractable block, the heading hierarchy, the description-list and FAQ markup - that gets your content pulled into responses instead of skipped.
The Technical AEO Checklist
llms.txt, schema markup, robots.txt directives, entity signals, and crawl permissions. The checklist covers every technical layer AI crawlers look at before deciding whether a source is citation-worthy.
Off-Site Authority in AI-Trusted Sources
Getting cited by AI engines is not just about your own site. We break down which third-party sources - directories, publications, review platforms - carry the most weight in AI retrieval and how to get featured in them.
Measuring AI Share of Voice
There is no Search Console for AI search. We walk you through the tracking frameworks we use to measure brand mentions, citation frequency, and Share of Voice across all four engines - without guessing.
The 90-Day GEO Rollout Plan
A phased execution plan you can run yourself or hand directly to us. Month one is technical foundation. Month two is content restructuring. Month three is authority building and measurement. Every step is sequenced to compound.
The same methodology inside this playbook is what we deploy for every LLMReach client engagement. If you want us to run it for you instead of doing it yourself, the free AI Visibility Audit is the right next step.
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GEO Playbook: Common Questions
What is GEO and how is it different from SEO?
Generative Engine Optimization (GEO) is the practice of structuring content and technical signals so that AI engines like ChatGPT, Claude, Perplexity, and Gemini cite your brand in their responses. Unlike SEO, which targets ranked blue links, GEO targets the answer layer - the citations and recommendations AI engines surface before a user ever clicks a result.
Who is this playbook for?
B2B marketers, founders, and SEO leads who want to understand and act on AI search visibility. The playbook is practical: it assumes you have a site, a content team, and a reason to care about being cited by AI engines. No prior GEO experience required.
Is this actually free?
Yes. You get the full playbook in exchange for your email address. We will occasionally send practical GEO tactics - no pitch sequences, no automated sales cadences.
How long does it take to implement the 90-day plan?
The plan runs in three phases across the full quarter. Month one is the technical foundation - llms.txt, schema markup, robots.txt configuration, and entity standardization - the most involved phase, and the one most teams choose to hand to LLMReach. Months two and three are content restructuring and authority building, distributed across a content team over the remaining weeks. The plan includes task-level breakdowns for each phase, so you can scope the work accurately and decide whether to run it in-house or have us execute it for you.
What if I want LLMReach to run this for me?
The playbook ends with a clear handoff path. If at any point you decide you want a team to run GEO for you rather than doing it in-house, the free AI Visibility Audit is the starting point. It takes 30 minutes and gives you a baseline of where you stand across all four engines.