AI Visibility Measurement That Holds Up

Useful measures include eligible-prompt mention rate, accurate-mention rate, citation rate, share of observed mentions, and source-domain frequency. Define the denominator and scoring rules in advance. A single proprietary score without its components cannot support diagnosis.

Store exact prompt text, platform, model or mode when visible, date, locale, login state if relevant, answer, citations, and reviewer judgment. Keep branded, category, comparison, and support prompts separate because each represents a different customer behavior.

Generated responses vary. Use repeated or rolling observations for important prompts, report sample sizes, and avoid treating a small movement as a durable trend. Human review remains necessary for accuracy, sentiment, and whether a mention truly answers the question.

Answer metrics are leading indicators. Pair them with referred sessions, self-reported discovery, qualified opportunities, sales-call evidence, and revenue where available. Describe contribution or influence unless the data supports a stronger causal claim.

Q: Is share of voice enough? A: No. A visible but inaccurate or irrelevant mention can be harmful, so include accuracy, context, and source quality.

Q: Can measurements compare vendors? A: Only when prompt sets, runs, platforms, scoring, and observation windows are sufficiently aligned.