Should miss rate become an AI search KPI?

Most AI search visibility reports focus on share of voice, which measures how frequently a brand appears across relevant prompts.

Another useful metric is miss rate, which tracks the percentage of relevant prompts where a brand receives zero mentions.

For example, a SaaS company might appear consistently when users ask for the best tools in its category.

However, the same company might be absent from answers comparing pricing plans, implementation costs, or subscription options.

Tracking miss rate across different buyer stages helps identify the specific questions where a brand is absent from AI-generated recommendations.

It also allows marketing teams to prioritize content and source coverage for the queries most closely connected to purchase decisions.

Are you measuring how often your brand is completely absent from relevant AI answers, alongside its overall share of voice?