Overview
Sentiment measures the overall tone of AI responses when mentioning your brand on a scale from 0 to 100. This metric helps you understand how AI models perceive and describe your brand.Most sentiment scores fall between 65 and 85, with higher scores indicating more positive language and associations.
How sentiment is measured
The sentiment score analyzes the language used when AI models mention your brand, looking for:- Positive indicators: Words like “trusted,” “reliable,” “innovative,” “leading,” “expert”
- Neutral indicators: Factual language with little emotional tone
- Negative indicators: Critical language, concerns, or negative associations
Why sentiment matters
Brand reputation
Sentiment directly impacts how users perceive your brand:- Positive sentiment builds trust and credibility.
- Neutral sentiment maintains professional standing.
- Negative sentiment can damage brand reputation.
Competitive advantage
Better sentiment means:- Users are more likely to trust your brand.
- AI models recommend your brand more favorably.
- You have a competitive edge in brand perception.
Strategic insights
Sentiment analysis helps you:- Identify reputation issues early.
- Understand how your brand is perceived.
- Track improvements in brand perception over time.