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MentionLab analyzes the sentiment of AI-generated responses to determine whether your brand is being discussed positively, neutrally, or negatively. This helps you understand not just whether you’re mentioned, but how you’re described.

Accessing sentiment analysis

Navigate to Intelligence → Sentiments from the sidebar. This page provides multiple views into your sentiment data.

Stat cards

The top of the page shows three summary cards:
CardWhat it shows
Sentiment ScoreOverall sentiment score (0–100) for your brand
Sentiment BreakdownPercentage split of positive, neutral, and negative responses
Total MentionsTotal number of mentions analyzed for sentiment

Overall sentiment breakdown

The sentiment pie chart shows the distribution of all AI responses across three categories:
SentimentScore RangeDescription
Positive67–100The AI’s mention of your brand is favorable, recommending or praising it
Neutral34–66The AI mentions your brand factually without strong positive or negative language
Negative0–33The AI’s mention includes criticism, drawbacks, or unfavorable comparisons

The sentiment trend chart shows how your brand’s sentiment evolves over time, with a stacked breakdown by category. Use the period selector to adjust the aggregation (day, week, month).

Sentiment by entity

The sentiment by entity table compares sentiment scores across your brand and competitors. This helps you identify areas where competitors receive more positive or negative AI coverage.

Sentiment by tags

See how sentiment varies across different query categories. Some topics may generate more positive mentions (e.g., “best tools for X”) while others may trigger more critical responses (e.g., “problems with X”).

Using sentiment insights

Sentiment data can inform several strategic decisions:
  • Content strategy — If AI platforms highlight specific weaknesses, consider addressing them in your content
  • Competitive positioning — Identify areas where competitors receive more negative sentiment and emphasize your strengths
  • Trend monitoring — Track sentiment shifts after product launches, PR events, or market changes
  • Query refinement — Queries generating unexpected sentiment may need rewording or additional context