The Sentiment Score evaluates whether conversational AIs talk about your brand positively, neutrally or negatively, reflecting your company's perception by artificial intelligences.
What is the Sentiment Score?
The Sentiment Score is an AI visibility metric that evaluates the tone and perception with which conversational AIs talk about your brand. Rated out of 10, it analyzes whether AIs recommend you enthusiastically, mention you neutrally, or express reservations.
How is the Sentiment Score measured?
The analysis covers several dimensions:
- General tone: Positive ("excellent", "recommended"), neutral ("offers"), or negative ("controversial", "criticized")
- Recommendation type: Direct recommendation, simple mention, or unfavorable comparison
- Qualifiers used: Adjectives and terms associated with your brand
- Citation context: Cited as a leader, as an alternative, or as an example to avoid
Why is it important for AI visibility?
Being mentioned by AIs isn't enough: sentiment matters as much as frequency:
- A high sentiment score (>7/10) means AIs perceive you positively
- A low score may indicate online reputation issues
- Sentiment directly influences conversion: an enthusiastic recommendation has more impact than a neutral mention
How to improve your Sentiment Score?
- Actively manage negative online reviews
- Publish positive and factual content about your brand
- Strengthen E-E-A-T signals (expertise, authority, trustworthiness)
- Get positive mentions in press and authority blogs
Sentiment Score and AI Labs Audit
AI Labs Audit automatically analyzes the sentiment of each AI response about your brand and calculates an overall score, visible on your dashboard with its evolution over time.