Understand the sentiment and qualities associated with your brand in captured AI answers. Compare models and competitors, then investigate the descriptions that matter to your positioning.
Sentiment / Illustrative workspace
Review the treatment of the brand in the answers, alongside the measured coverage.
Illustrative data and interface. Not live customer results.
Brand Perception in AI Answers
Two brands can appear in the same answer and be described very differently. Look at the language and qualities behind those appearances.
Review overall sentiment, changes over time and positive, neutral and negative distributions by model. Use the selected market and period to keep the comparison meaningful.
Sentiment describes the captured answer’s treatment of a brand. It is not a survey of customer opinion.
Explore the dimensions used to describe your brand and competitors. Choose a focus, compare the patterns and identify where your intended positioning differs from the answer evidence.
A missing attribute is not automatically a negative judgement. Interpretation depends on what the answer actually says and the coverage available.
An activewear brand may be described favourably for comfort while another brand is more closely associated with durability. A single overall visibility figure would hide that distinction.
Inspect the measured pattern and the underlying answer context before choosing what to change. Your product evidence and buyer priorities should guide the response, rather than trying to make every attribute score equally high.
Evidence into action
Keep your research connected to the questions, markets and business objectives that matter to you.
Set the market and period, then review the models and competitors represented in the data.
Read sentiment patterns and focused dimensions together. Identify the qualities relevant to your positioning.
Compare the answer evidence with your product information and business objectives before turning a perception gap into work.
Visibility concerns whether a brand appears. Perception concerns how it is described, including sentiment and the qualities associated with it.
Yes. Review sentiment by model and over time, alongside the measured dimensions. Coverage and the selected period matter when interpreting differences.
No. It analyses captured AI answers. Those descriptions should not be presented as customer research or public-opinion polling.
Yes. The perception view compares measured qualities across your brand and competitors, helping you investigate positioning differences.
See how AI answers position your brand and give your next investigation a clearer focus.
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