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Measuring AI Visibility
A useful report is inspectable. If you cannot see the prompts and answers, you cannot trust the conclusions.
At minimum: scope (market, category, systems), the prompts used, dates, verbatim excerpts for material claims, and clear findings about understanding, presence, accuracy, and shortlist behavior.
Add competitive notes when they change decisions. Add a prioritized improvement list only when it is tied to specific prompt evidence—not a recycled SEO checklist.
Model/product context and dates matter because answers drift. Without provenance, month-to-month “improvement” stories are not comparable.
If a report shows scores with no underlying answers, treat those scores as marketing, not measurement.
Client reports include the evidence you need to make decisions. Public articles do not reproduce full report templates, scoring worksheets, or remediation matrices. That material is engagement IP.
The public standard is still clear: inspectable prompts and answers beat unexplained scores.
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.