We test real prompts, not imaginary benchmark queries
The audit starts from the commercial and category queries your buyers actually use, then compares your brand against the competitors being named instead.
Methodology
How the AI Visibility Audit works.
The methodology is built to answer a simple question with evidence: why are AI systems recommending other brands instead of yours?
We check infrastructure before recommending more content
Blocked crawlers, missing Bing indexing, weak schema, rendering problems, or contradictory directives can stop visibility long before content quality becomes the issue.
We separate extractability from authority
Some brands are technically accessible but hard to extract. Others are clear on-site but absent from the off-site source pool that AI systems rely on for corroboration.
We state uncertainty directly
AI citations are non-deterministic. The audit improves the inputs that raise citation probability, but it does not promise a fixed ranking position or guaranteed inclusion.
What We Check
Access
AI crawler directives, Bing indexation, sitemap health, rendering behavior, and machine-readable signals.
Understanding
Whether pages make your category, use case, proof points, and qualification cues easy to extract and cite.
Authority
Which third-party pages, reviews, forums, and comparison sources are doing the recommendation work in your category.