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What makes AI visibility data decision-grade rather than directional?

The IAB splits measurement into two tiers. Directional data answers "is visibility broadly up or down" and is fine for early signal and internal briefings. Decision-grade data supports budget allocation and provider selection, and has to clear stated thresholds.

The framework treats fewer than 50 queries per measurement program as exploratory rather than even directional, because below that floor a category cannot be characterized at all.

The failure mode is not using directional data. It is treating directional data as decision-grade without noticing the gap.

CriterionDirectionalDecision-grade
Query volumeCovers the category; under 50 is exploratoryLarge, with subcategory coverage
Intent coverageAt least two intent typesAll four, segmentable
Testing cadenceMonthly or quarterlyWeekly or more often
ReproducibilityVariation documentedStated range within 7 days
Platform coverageDisclosedReported per platform, not blended

Call it

GET/org/run-scheduleOpen in API reference →Your testing cadence.
GET/org/run-modelsOpen in API reference →Which platforms are covered.
GET/org/promptsOpen in API reference →Your query set, and its size.