Sentiment

Overview

Sentiment measures how AI models describe your brand when they mention it in generated answers. It analyzes the language and context used in AI responses to determine whether your brand is presented positively, neutrally, or negatively.

Sentiment is typically expressed as a score between 0 and 100, where higher values indicate more positive associations with your brand.

A strong sentiment score means AI assistants tend to describe your brand with favorable language, positioning it as trusted, reliable, or leading in your category.

How sentiment is measured

Yetify analyzes the wording and context surrounding your brand mentions across AI responses.

The model evaluates signals such as:

Positive indicators

Words like trusted, reliable, innovative, recommended, or leading.

Neutral indicators

Informational or descriptive language without strong positive or negative tone.

Negative indicators

Critical language, warnings, or associations with problems or limitations.

Each response contributes to the overall sentiment score, allowing you to track how AI models describe your brand across prompts and platforms.

Why sentiment matters

Brand perception

Sentiment shapes how users perceive your brand when AI assistants recommend products or services. Positive descriptions increase credibility and trust.

AI recommendation quality

Brands described positively are more likely to be recommended confidently in AI-generated answers.

Competitive positioning

Tracking sentiment across prompts helps you understand how your brand compares to competitors in tone and reputation.

Strategic insights

Sentiment analysis helps marketing teams:

• Detect reputation issues early
• Identify topics where perception is weaker
• Track improvements in brand perception over time