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AI Perception goes beyond a single sentiment score to show why AI models describe your brand the way they do. Use it to track how perception changes over time and pinpoint what is helping or hurting you. You find it in the sidebar under Analysis > AI Perception. The page has three tabs: Overview, Citations and Keywords.

Overview

Citations and Keywords

  • Citations lists the websites and pages cited in AI answers about your brand, grouped by sentiment (All, Positive, Neutral, Negative), with the number of Citations and a sentiment Score for each.
  • Keywords shows a Topic Keyword Cloud (keywords sized by frequency and colored by their dominant sentiment) and lists of the most frequent positive and negative keywords. Keywords are generated in weekly batches (Sunday to Saturday), so this tab uses week-based periods: 1 week, 2 weeks or 4 weeks.

Filters

Break perception down by date range, Countries, Categories, Tags, Models and Prompts. Perception often differs a lot between markets and models, and the filters help you see where.

How to use it

1

Check your score and trend

Start with Overall Sentiment and Sentiment Over Time to see where you stand and whether it is changing.
2

Read the summary

Qualitative Insight tells you your strengths and the areas causing friction, without reading every answer.
3

Find the drivers

Use What Drives Your Sentiment Score to see which factors pull your score down.
4

Read the negative mentions

Filter the Sentiment Mention List to the negative mentions and read what AI actually says.
5

Trace and act

Check Citations to find the sources behind negative tone, and turn them into tasks in Actions.