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Direct answer

Create prompts that represent relevant ‘best tools’ decisions, then review Monitor > Response Analysis and Cockpit > Compare. Record whether SELF appears, which DIRECT products appear, how each is described, and which source URLs are cited.

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Data required

Use a stable set of configured prompts, provider and model, period, topic or tag, stored answers, SELF/DIRECT classifications, mention occurrences, ordering where present, sentiment or claims, and citation URLs.

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Workflow

1

Define relevant prompts

Choose audience, use case, constraints, and market context. Avoid broad list prompts that do not match your product.
2

Review answer-level presence

Read each stored answer and record SELF and DIRECT occurrences separately from rank or recommendation language.
3

Compare narratives and sources

Identify recurring selection criteria, product claims, omissions, and citation URLs. Verify factual claims against approved sources.
4

Monitor the stable cohort

Repeat the same prompt and provider/model cohort and report distributions rather than a single answer.

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Interpretation

Product Share of Voice is SELF mention occurrences divided by SELF plus DIRECT occurrences. It does not measure list position, preference, or conversion. Inclusion in a stored answer is one observation and does not guarantee future recommendation.

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Possible next actions

  • If SELF is absent from relevant prompts, test content that provides verifiable evidence for the observed selection criteria.
  • If a recurring claim is inaccurate, follow the misinformation correction workflow.
  • If one DIRECT product dominates occurrences, inspect its cited sources before choosing a distribution hypothesis.

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Limitations

Recommendation lists can change between runs and depend on prompt wording, model, provider, web access, and location. Qwairy observes selected stored answers and cannot infer purchasing behavior or guarantee inclusion.

Answer Details

Report on answer-level recommendation data.

Analyzing Answers

Review stored answers in context.

Qwairy MCP

Use supported MCP tools and schemas.

Consideration-stage presence

Analyze brand presence during consideration.

B2B evaluation positioning

Investigate evaluation narratives.

Share of Voice

Apply the product occurrence formula.