The research-backed framework to benchmark your business's AI visibility — and fix it.

What Is The 10-Dimension GEO Self-Audit?

The 10-Dimension GEO Self-Audit is a structured framework to evaluate your business's AI discoverability across the 10 dimensions AI systems use to discover, cite, and recommend businesses. It's built from peer-reviewed research and real citation data — not guesswork.

What's Inside?

A full audit rubric with scoring criteria for all 10 dimensions. Research-backed explanations of why each dimension matters. Before/after examples for every dimension. A 100-step implementation playbook (10 tasks per dimension). Copy-paste schema markup templates. The one-prompt Entity Establishment workflow. Platform-specific strategies for ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

Who Is This For?

Small business owners who want to be discovered by AI. Solo service providers competing against legacy brands. Creators and marketers who want structured, research-backed GEO guidance. Anyone who asked an AI about their business and got nothing back.

The Research Behind It

The framework is built from Princeton's GEO study (KDD 2024), Digital Bloom's analysis of 680M+ AI citations, Semrush AI Visibility Index, Ahrefs 863K keyword analysis, and 8 additional peer-reviewed and industry sources. Every recommendation is traceable to data.