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Direct answer

Use Analyze > Brand Perception and the underlying stored answers to compare observed brand attributes with a current, approved positioning statement. Record alignment and divergence by prompt, provider, topic, and period. Treat the result as a view of the monitored dataset, not a complete measure of market perception.

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Data required

You need approved positioning claims with an owner and review date, a stable configured-prompt set, selected providers and models, stored answers, topics or tags, period, sentiment or perception outputs, and recorded citation URLs.

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Workflow

1

Define the reference

List the positioning attributes you intend to communicate and the evidence that supports each one. Exclude aspirational claims that are not yet true.
2

Select comparable answers

Choose prompts, providers, topics, and a period relevant to those attributes. Keep the cohort stable for later comparisons.
3

Review perception and evidence

Use Brand Perception to identify recurring observed themes, then read representative answers and their citations before classifying a gap.
4

Document the gap

For each attribute, record aligned, missing, contradictory, or unsupported output with the answer and filter context.

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Interpretation

A recurring attribute describes stored answers in the selected cohort. It does not establish what every user, provider, or market participant believes. Provider differences may reflect prompts, models, web access, sources, or sampling; the data alone does not identify the cause.

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Possible next actions

  • If an intended attribute is missing, test whether an accurate first-party evidence page would make the positioning easier to verify.
  • If an unsupported attribute recurs, investigate the cited sources and your own public copy before choosing a correction.
  • If divergence appears in one provider slice, repeat the same prompt cohort before changing the broader positioning strategy.

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Limitations

Brand Perception is an analysis of observed outputs, not an independent reputation survey. Model outputs and source sets can change. The MCP surface follows its own documented tools and schemas; do not assume it returns the same aggregation as the product.

Brand Perception

Review the product analysis and its scope.

Answer Details

Report on stored answers with documented dimensions.

Qwairy MCP

Use supported MCP tools and schemas.

What AI says

Read the underlying stored answers.

Choose what to create

Form a content hypothesis from a verified gap.

Strengths and weaknesses

Group recurring observed attributes.

Negative sentiment by topic

Inspect topic-specific sentiment separately.