Glossary

Sentiment Score

A numerical measure of how favourably AI systems describe and discuss your brand, from strongly negative to strongly positive.

Definition

What this term means

A numerical measure, typically on a scale from -1 (strongly negative) to +1 (strongly positive), that quantifies how favourably AI systems describe and discuss a brand in their responses. Sentiment scores are calculated by analysing the language AI models use when mentioning your brand, looking at word choice, tone, qualifiers, and whether the model recommends you enthusiastically or with reservations.

Why it matters

The business impact

Even when your brand is mentioned by AI systems, the sentiment of that mention matters enormously. An AI that says 'Brand X is a solid choice' versus 'Brand X has had some issues but might work' creates vastly different user impressions. Monitoring sentiment scores helps identify when AI systems are reflecting outdated negative information, competitor comparisons, or inaccurate perceptions, allowing you to address the underlying causes.

Used in context

How you might use this term

Sentiment monitoring revealed that while an insurance company appeared in AI recommendations frequently, the language was consistently cautious, with phrases like 'some customers have reported issues with claims processing'. Investigation traced this to a cluster of outdated review content. After a review management campaign, the AI sentiment shifted from 0.3 to 0.7 within two months.
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