The Framework

GAEO™

A structured approach to AI Visibility Intelligence. Four interconnected dimensions that determine whether AI recommends your brand — or your competitors.

Why a framework, not a tactic

Tactics expire. AI models update their training data, adjust their ranking signals, and evolve how they synthesize information. A tactic that works today may be irrelevant in six months.

The GAEO framework is designed to be durable. It maps the structural requirements for AI visibility — the things that will matter regardless of which model is dominant or how the technology evolves. Each dimension addresses a fundamental question that every AI system must answer when deciding whether to recommend your brand.

Four Dimensions

The anatomy of AI visibility

Each dimension builds on the others. Together, they form a complete system for making your brand the AI answer.

G

Generative Presence

Is your brand part of AI-generated answers?

When someone asks an AI about your category, your brand should appear — not as a footnote, but as a primary recommendation. Generative Presence measures whether AI models know you exist and consider you relevant.

What this looks like in practice

  • Audit AI responses across GPT, Gemini, Perplexity, and Claude for your brand and category
  • Map which competitor names appear in AI answers where yours should
  • Identify content gaps that prevent AI from citing your brand
A

Authority Signals

Does AI trust your content enough to cite it?

AI models evaluate authority differently than search engines. They look for consistent, well-structured, factual content that multiple sources corroborate. Authority Signals measures how much AI trusts your brand as a source of truth.

What this looks like in practice

  • Structure content so AI can extract and attribute your expertise
  • Build corroborating signals across platforms AI models train on
  • Establish your brand as the definitive source in your domain
E

Engagement Architecture

Can AI parse and communicate your value clearly?

Your website might rank well on Google but be invisible to AI because the content is structured for humans reading pages, not models synthesizing answers. Engagement Architecture ensures your value proposition is machine-readable.

What this looks like in practice

  • Implement structured data that AI models can extract and reason about
  • Create content architectures optimized for AI synthesis, not just human scanning
  • Design information hierarchies that preserve your brand voice in AI summaries
O

Optimization Loop

Are you improving your AI visibility systematically?

AI models update, retrain, and evolve. A one-time optimization decays. The Optimization Loop builds a continuous feedback system that monitors, measures, and improves your AI visibility over time — so your brand compounds its advantage.

What this looks like in practice

  • Establish baseline AI visibility metrics across models and queries
  • Implement continuous monitoring of AI-generated responses about your brand
  • Build feedback loops that connect AI visibility changes to business outcomes

The System

Four dimensions. One compounding system.

The dimensions aren't sequential — they're interconnected. Improving your Authority Signals strengthens your Generative Presence. Better Engagement Architecture makes your Authority more parsable. The Optimization Loop accelerates everything.

G

Generative Presence

A

Authority Signals

E

Engagement Architecture

O

Optimization Loop

Each dimension reinforces the others. Improve one, and the system accelerates.

See where your brand stands

An AI Visibility Audit maps your brand across all four GAEO dimensions — and shows you exactly where to focus.

Book an AI Visibility Audit