Methodology
Testing Methodology
Our AI Search Visibility Audit uses a 17-section structured assessment across five signal layers. It tests how AI platforms currently interpret your business, not how they should.
It does not manipulate AI systems. It observes what AI platforms can currently find, read and understand about a business — and identifies where interpretation is incomplete, inconsistent or absent.
What We Test
Six platforms: ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI. Five signal layers: Identity Clarity, Subject Authority, Meaning Architecture, Ecosystem Validation, Signal Consistency.
Two Scores
AI Visibility Score (weighted)
A weighted score reflecting the relative importance of each signal layer for your specific business category.
Structural Reference Score (unweighted)
An unweighted score showing raw signal completeness across all 17 sections.
Limitations
Inclusion in AI answers cannot be guaranteed. AI systems evolve. Weightings shift. Retrieval varies by phrasing, context, and factors that are not always visible externally. We engineer stability. We do not control platforms.
The audit never assumes something does not exist simply because it was not detected. AI interpretation is probabilistic, not deterministic.