Sentiment

Sentiment measures how positively or negatively AI models talk about your brand across tracked conversations. It provides a score from 0 to 100, helping you understand the overall perception of your brand within AI-generated responses.

Higher scores indicate that AI models consistently describe your brand using more positive language and associations.

Overview

Whenever your brand is mentioned in a tracked AI response, Cite AI evaluates the surrounding language to determine its overall tone.

Instead of analysing responses individually, Sentiment combines all brand mentions into a single score that reflects how AI models generally portray your business over the selected time period.

A higher score suggests your brand is consistently presented in a favourable light, while lower scores may indicate opportunities to strengthen your brand perception.

How Sentiment Works

Cite AI analyzes both the wording and context used when AI models reference your brand.

Positive Mentions

These include responses that associate your brand with qualities such as:

• Trusted
• Reliable
• Innovative
• High quality
• Recommended
• Industry leader
• Expert

Neutral Mentions

Responses that simply describe your brand or products without expressing a positive or negative opinion.

Negative Mentions

Responses containing criticism, concerns, negative comparisons, or language that may reduce confidence in your brand.

The overall Sentiment Score is calculated by evaluating the balance of positive, neutral, and negative mentions across all tracked AI responses.

Why It Matters

Understand AI Brand Perception

See how AI models present your business and monitor changes in perception over time.

Strengthen Customer Trust

Positive AI-generated recommendations can reinforce credibility and increase user confidence in your brand.

Protect Your Reputation

Spot changes in sentiment early so you can address potential reputation issues before they become more significant.

Compare Against Competitors

Evaluate how your brand is perceived relative to competitors and identify opportunities to strengthen your positioning in AI search.

Using Sentiment in Your Strategy

Sentiment becomes most valuable when viewed alongside metrics such as Visibility, Citations, Share of Voice, and Rankings.

Use these insights to:

• Monitor changes in brand perception over time.
• Measure the impact of content, PR, and marketing campaigns.
• Improve messaging that influences AI-generated recommendations.
• Identify reputation trends before they affect visibility.
• Track long-term improvements in how AI models describe your brand.

A consistently strong Sentiment Score indicates that your brand is not only being discovered by AI models but is also being presented positively to potential customers.