The audit measures AI retrieval presence, citation visibility, semantic authority, entity strength, synthesis readiness, and competitor visibility across platforms like ChatGPT, Gemini, Claude, Perplexity, and Copilot.

What an AI Visibility Audit Includes

  • AI citation analysis
  • GEO assessment
  • AEO readiness review
  • semantic architecture evaluation
  • entity mapping
  • authority signal analysis
  • competitor retrieval benchmarking

Why Run an Audit

An audit creates a baseline for where your brand appears, where competitors are being cited, and which content or entity gaps are blocking AI visibility growth.

Build AI visibility

Turn content, schema, and entity signals into a retrievable visibility system.

Request AI Visibility Audit
Kevin Walsh, Founder of Brainpan.AI

Written and reviewed by

Kevin Walsh

Kevin Walsh is the founder of Brainpan.AI, where he builds AI visibility infrastructure, GEO/AEO strategy, schema systems, and citation optimization programs for brands that need to be retrieved, cited, and trusted by AI answer engines.