Glossary

Sentiment Analysis

AI's ability to evaluate text and determine its emotional tone as positive, negative, or neutral, influencing brand recommendations.

Definition

What this term means

An NLP technique that evaluates text to determine its emotional tone, classifying it as positive, negative, or neutral, often with granular scoring. AI systems use sentiment analysis to assess the overall perception of brands, products, and topics across web content, reviews, and social media. The aggregated sentiment influences how confidently AI models recommend a brand.

Why it matters

The business impact

AI systems factor sentiment into their recommendations. If the prevailing sentiment about your brand across the web is negative, due to bad reviews, critical articles, or outdated complaints, AI models will reflect this in their responses. Monitoring and managing sentiment across all digital touchpoints helps ensure that AI systems perceive and present your brand favourably.

Used in context

How you might use this term

A restaurant chain discovered that AI assistants were describing them with cautious, lukewarm language. Sentiment analysis of their online presence revealed a cluster of outdated negative reviews were skewing AI perception. After a reputation management campaign, AI sentiment improved from neutral to strongly positive within three months.
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