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Measuring AI Visibility
An AI visibility audit is a structured look at whether assistants name a business on a stable set of questions.
Casual checking is opening an assistant and typing a few questions. An audit is a designed baseline: defined scope, defined prompt set, defined systems, stored evidence, and findings that can support decisions.
Casual checking can create awareness. An audit creates a record you can act on and later verify against.
Expect an executive finding, structured observations (not just vibes), accuracy issues called out plainly, competitive context where relevant, and a prioritized set of public improvements tied to the evidence.
Also expect honesty about limits: what was measured, what was not, and when a conclusion is directional rather than definitive.
The offer starts with a complimentary Baseline Snapshot. That snapshot is a score. Coastline then writes up how AI describes you, fixes what those answers rely on, and checks again.
Book a call if you want the diagnostic or the 90-day implementation for your business.
Example: list the questions an audit must answer — understood, named, described accurately, and recommended — before you buy one.
Coastline Metrics does not publish proprietary prompt packs, scoring formulas, remediation playbooks, or operator workflows in the Resource Center. Those materials belong inside client engagements. What you will find here is durable education: how to think clearly about AI visibility, what evidence looks like, and what claims to reject.
Coastline Metrics measures how leading AI systems understand, describe, and recommend your business—and identifies what may be limiting your visibility.