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Measuring AI Visibility
An AI visibility audit is a structured baseline of how assistants understand and recommend your business across a stable set of prompts.
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.
Coastline’s COAST Baseline is built as an evidence product: five diagnostic dimensions, priority findings, and a verification plan for a comparable rerun.
Directional previews can help you decide whether a full baseline is warranted. They are not a substitute for a full evidence chain when material decisions are on the table.
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.