What is Sentiment?
Sentiment reflects the emotional tone or attitude used when your brand is mentioned in AI-generated results. It’s classified into three categories:
✅ Positive – Language that suggests trust, quality, or endorsement
⚪ Neutral – Descriptive or factual mentions with no strong opinion
❌ Negative – Language that implies doubt, risk, or criticism
Sentiment is not a fixed formula. It’s powered by an AI ruleset that looks at how your brand is described across both Web Grounding (GR)(real-time web content) and Training Data (TR) (pre-trained knowledge of the AI engine).
Understand how positively or negatively your brand is perceived by AI models
Compare your brand tone vs competitors
Identify problematic keywords (e.g. “production delays”) linked to your brand
Spot reputation risks or wins early, especially in emerging AI content
You will be able to see the Sentiment details for your Brand plus your Competitors.
Sentiment Score Overview
For each brand, you’ll see:
Overall Sentiment Score (e.g. 87.1%) – The proportion of positive sentiment from all mentions
A breakdown of mention count by sentiment:
Number of Positive, Neutral, and Negative mentions
Total Mentions analyzed
A bar chart showing sentiment distribution over time
A radar chart highlighting sentiment-driving keywords
Sentiment Keywords
Keywords are grouped by sentiment and source:
Positive Keywords – Words like boost sales, expected announcement, or new models
Neutral Keywords – E.g. predictions, informative, plans
Negative Keywords – Words like production delays or not confirmed
Each keyword shows:
The AI engine that surfaced it
The type of source (Web Grounding or Training Data)
The number of mentions
