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Metrics and intelligence

Canonical metric contract​

Every metric definition declares target/component applicability, unit, numerator, denominator, operation, version and low-sample threshold. Every snapshot declares sample size, confidence, low-sample state, dimensions, evidence and calculation time.

Core intelligence includes mention coverage, share of voice, citation presence, position/rank, source influence, prompt coverage, entity accuracy, narrative/sentiment, product visibility, campaign lift, cost, latency and success rate.

Representative metric contracts​

MetricNumeratorDenominatorUnitRequired context
Mention coverageEligible answers mentioning resolved targetEligible completed answersPercentProvider/model, prompt set, market, language, window
Citation presenceEligible answers citing an approved/relevant sourceEligible completed answersPercentCitation extraction state and source policy
Competitive SOVWeighted mentions for one eligible targetWeighted mentions for all eligible compared targetsPercentCompetitor set and identical sampling scope
Prompt coverageCovered eligible prompt clustersEligible demand/prompt clustersPercentCluster version and demand source
Entity accuracyCorrectly resolved/represented target samplesReviewed eligible entity samplesPercentResolution policy and ambiguous exclusions
Run success rateCompleted requested samplesRequested eligible samplesPercentRetry/exclusion policy

Different metric versions must not be plotted as one continuous series without an explicit compatibility rule or visible boundary.

Share of voice​

Share of voice is meaningful only when competitor targets and a representative sample exist. A result can sum to 100% and still be unreliable. Always read it with sample size, confidence, prompt coverage, providers, markets and time range.

Intelligence areas​

  • Visibility: mention and citation coverage by target, provider, prompt, market and language.
  • Competition: owned-versus-competitor share of voice and evidence.
  • Entity & Demand: canonical entity resolution, aliases, prompt clusters and unmet demand.
  • Narratives: claims, sentiment, recurring themes and factual consistency.
  • Safety: misinformation, unsupported claims, brand-risk patterns and anomalies.
  • Citation graph: source domains and relationships between answers, citations and targets.

Interpretation guardrails​

  • Low-sample results are directional, not definitive.
  • Missing citations and negative sentiment are findings, not proof of causal business impact.
  • Simulation output cannot replace observed provider answers.
  • Attribution confidence is capped by tracking coverage.
  • Metric-version changes must be visible in comparisons and exports.