The AI Visibility Playbook: Lessons from 60+ Brands

Most brands are buying AEO dashboards and dumping thousands of random prompts into them — with no idea what they’re actually measuring or what to do next.

What you’ll learn

Why AI has caused the biggest shift in buying behavior since the internet —and why your website is still the core of everything

The 4 dimensions of AEO: presence, reputation, alignment, and influence (and why most people only track one)

How AI engines actually work: training data, retrieval, and post-training preferences — and why pages control 82% of training data and 100% of retrieval

The sphere of influence framework: what you control, what you influence, and what you earn

Why counting mentions is not AEO — and what to do instead

How to measure AI visibility without dirty data (hint: start with evaluation-stage prompts in your buying category)

Why context engineering is the foundation of every content engine that actually works

A signal-based approach to managing impatient execs and proving ROI before conversions show up

Why this topic matters

AI is changing how buyers discover vendors and build shortlists—often before they ever hit your site—while most deals still close on the web, so your pages are what models train on and retrieve when people ask evaluation-style questions in ChatGPT and similar tools. The gap between hype and reality is wide: dashboards and random prompts produce noisy metrics unless you tie measurement to commercial intent and the workflows that actually move how you’re represented.

You’ll learn from

Marcel Santilli Founder at GrowthX. Marcel has built publisher-style organic growth engines at fast-growing companies and now teaches teams how to operationalize AEO/GEO with repeatable systems, strong editorial standards, and real execution.

Jason Gong VP, GTM (Growth/Marketing) at GrowthX. Jason works hands-on with customers to turn strategy into a machine that ships consistently, stays aligned to the audience, and holds quality as you scale.