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Direct answer

Filter Cockpit > Compare to one provider and model at a time. Define outperform using a specific metric, preserve a matched prompt cohort, and trace the result to answers before ranking competitors.

Data required

  • Matched answered prompts across the providers or models being compared
  • Correct SELF and DIRECT competitor classifications
  • Fixed country, language, topic, tag, funnel, and period filters
  • Raw components for the selected metric
  • Representative answers and exposed citations

Workflow

  1. In Cockpit > Compare, select one provider, model, and metric.
  2. Confirm comparable completed-answer and answered-prompt counts.
  3. Record SELF and DIRECT competitor values with raw components.
  4. Repeat for another provider without changing the remaining filters.
  5. In Cockpit > GEO Matrix, locate topic and prompt cells driving the gap.
  6. Read the underlying answers in Monitor > Response Analysis and inspect exposed sources when relevant.

Interpretation

Product Share of Voice counts mention occurrences. Product Mention Rate is response-level. Product Coverage is prompt-level. Avg Position is conditional on recorded mention positions. A competitor can outperform on one metric and not another. A provider with a smaller or different prompt sample is not directly comparable. State the provider, model, metric, filters, and unit with every conclusion.

Possible next actions

  • Test whether a provider-specific content or evidence gap persists on matched prompts.
  • Investigate one topic or model rather than applying a broad competitive response.
  • Review aliases and DIRECT relationships when denominator components look incomplete.
  • Collect additional comparable answers before acting on a small sample.
These actions test hypotheses; they do not reveal or control private provider logic.

Limitations

  • Provider output varies between runs and models.
  • Competitor classification affects eligible product metrics.
  • Unequal samples can reverse rankings.
  • Observed mentions do not establish recommendation quality or commercial performance.