Direct answer
Use Cockpit > Compare with one funnel stage at a time. Identify where DIRECT competitors have more observed presence, then trace the difference to prompts and answers. Define what losing means before ranking stages.Data required
- Answered prompts with consistent funnel-stage assignments
- Correct SELF and DIRECT competitor relationships
- Matched provider, model, country, language, topic, tag, and period filters
- Mention Rate, Coverage, Share of Voice, position, and their raw components
- Full answers for the prompts contributing to each gap
Workflow
- In Workspace > Prompts, review missing or inconsistent funnel-stage assignments.
- In Cockpit > Compare, select a funnel stage and one metric.
- Record the SELF and DIRECT competitor values with their raw counts.
- Repeat for the other stages without changing the remaining filters.
- In Cockpit > GEO Matrix, locate the topic and prompt cells behind the largest observed difference.
- Read those answers in Monitor > Response Analysis to check recommendation context and relevance.
Interpretation
Product Share of Voice is occurrence-level, Product Mention Rate is response-level, and Product Coverage is prompt-level. They can identify different stages as the largest gap. Do not combine them without an approved method. A stage with a small answer sample may show a large percentage difference. A competitor mention can be negative or incidental, so answer context determines whether the observed gap is strategically relevant.Possible next actions
- Test a content change against the specific prompt and decision criterion behind the gap.
- Improve funnel-stage assignments when taxonomy quality explains the difference.
- Investigate one provider or topic instead of applying a site-wide response.
- Track the same prompt cohort after the experiment.
Limitations
- Funnel-stage assignment depends on your taxonomy.
- Competitor metrics depend on DIRECT relationship configuration.
- Unequal samples can distort stage comparisons.
- Visibility differences do not establish commercial loss or causality.

