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Direct answer

Use Monitor > Response Analysis to read the exact stored outputs, then use Analyze > Brand Perception and Analyze > Sentiment Analysis to group recurring pros, cons, and commercial claims. Verify every material product or pricing statement against a current approved source.

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Data required

Use configured evaluation prompts, provider and model, run date, stored answers, topics or tags, perception and sentiment outputs, citation URLs, and dated approved product, packaging, and pricing information.

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Workflow

1

Choose evaluation prompts

Select prompts that ask about fit, trade-offs, capabilities, limitations, and pricing for a defined audience and market.
2

Read the stored answers

Record recurring positive, negative, and conditional claims. Keep factual statements separate from opinions or comparisons.
3

Verify details

Compare product features, limitations, price, currency, billing period, availability, and package names with the approved current source.
4

Compare providers and runs

Check whether material claims recur across providers, models, prompts, and later runs before treating them as a pattern.

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Interpretation

A pro or con is an observed description in selected answers, not an objective verdict. Sentiment classifications can simplify conditional language. Pricing is time- and market-sensitive; always retain the answer date and source context.

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Possible next actions

  • If pricing is outdated, test updates to the authoritative pricing source and monitor the same cohort.
  • If a valid limitation is framed without context, test clearer positioning about intended fit.
  • If an unsupported product claim recurs, inspect citations and follow a factual correction workflow.

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Limitations

Stored answers can vary and may contain outdated or incorrect information. Recorded citation URLs do not prove which source produced a claim. The REST answers endpoint is a separate contract; confirm its fields before comparing it with product analyses.

Brand Perception

Review recurring observed product attributes.

Answer Details

Build reporting from stored answer records.

Answers API

Read the separate REST answers contract.

What AI says

Read brand narratives in context.

Products in AI shopping

Check observed commerce result details.

Negative sentiment by topic

Analyze negative language in selected topics.