The sentiment score measures the overall tone of a prompt’s response on a scale from 0 to 100. Most scores fall between 65 and 85. A score near 85 indicates clearly positive language—words like “trusted,” “reliable,” or “innovative.” Around 65 represents neutral or factual language with little emotional tone. Anything below 65 generally signals language that could be critical or negative and typically warrants a closer look.
Sentiment measures how positively or negatively AI discusses your brand. This 0-100 score tells you whether AI sees your brand as trusted, reliable, or problematic.

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Understanding Sentiment Scores

  • 85-100: Clearly positive language—“trusted,” “reliable,” “innovative”
  • 65-84: Neutral or factual tone with little emotional language
  • 0-64: Critical or negative language that needs your attention
Most brands score between 65-85. Anything below 65 signals potential reputation issues.

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Why Sentiment Matters

AI doesn’t just mention brands—it makes judgments about them. Your sentiment score reveals whether AI portrays your brand positively or raises red flags for potential customers. Positive sentiment drives conversions. Negative sentiment kills them.

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Reading Your Sentiment Data

  • Overall sentiment score: Your brand’s average sentiment across all responses
  • Sentiment trends: Track whether perception is improving or declining
  • Individual response sentiment: See specific AI responses with high or low sentiment
  • Competitor sentiment: Compare how AI discusses your brand versus rivals

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Improving Your Sentiment

  • Address negative sentiment by improving customer experience and content
  • Create positive content that reinforces your brand’s strengths
  • Monitor sentiment changes after product launches or PR events
  • Focus on building authority and trust signals AI can recognize
Control how AI talks about you. Sentiment shapes customer decisions.