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Sentiment Analysis

Sentiment analysis goes beyond whether your brand is mentioned to examine how AI models perceive your brand. Cleotic evaluates brand perception across six dimensions, giving you a nuanced view of how AI models characterise your brand to users.

The six dimensions

Cleotic measures sentiment on a 0-10 scale across these dimensions:

  1. Trust / Reliability -- Does the AI model position your brand as trustworthy and dependable?
  2. Innovation -- Is your brand described as innovative and forward-thinking?
  3. Value for Money -- How does the AI model frame your pricing and value proposition?
  4. Customer Experience -- What does the AI model say about using your product or service?
  5. Market Leadership -- Is your brand positioned as a leader in its category?
  6. Recommendation Likelihood -- How likely is the AI model to recommend your brand?

Each dimension is scored independently, so you might score high on innovation but lower on value for money. This granularity helps you understand exactly where your brand's AI perception is strong and where it needs work.

Setting up sentiment analysis

Sentiment analysis is configured per project from the Sentiment tab:

  1. Go to your project and click the Sentiment tab
  2. Configure which AI models to include in sentiment analysis
  3. Set the refresh frequency: daily or weekly
  4. Toggle the analysis to active

You can also run sentiment analysis on demand by clicking Run Now.

Reading sentiment data

Radar chart

The radar chart is the centrepiece of sentiment analysis. It plots all six dimensions for your primary brand and competitors as overlapping shapes, making it easy to see:

  • Where your brand outperforms competitors
  • Where competitors have an edge
  • Which dimensions are closest and which have the widest gaps

Your primary brand is highlighted with a thicker line and darker fill for easy identification.

Sentiment summary

Below the radar chart, you'll find AI-generated text summaries describing how each model perceives your brand. These narratives add qualitative context to the numbers -- they explain how AI models talk about your brand, not just the scores.

Each brand gets a summary, and you can expand to see per-model summaries showing how perception varies across ChatGPT, Claude, and other models.

Sentiment trends

The trends chart shows how your average sentiment score changes over time. Use this to:

  • Track the impact of PR events, product launches, or content campaigns
  • Spot gradual shifts in AI perception
  • Compare brand trajectories over weeks and months

Model comparison

The model comparison view breaks down sentiment by individual AI model. This reveals when different models have different perceptions of your brand -- for example, ChatGPT might rate your innovation highly while Claude gives you higher marks for reliability.

Date range options

Filter sentiment data with preset ranges:

  • 7 days -- Recent snapshot
  • 30 days -- Monthly view
  • 90 days -- Quarterly perspective
  • 1 year -- Long-term trends

Tips

  • Compare dimensions, not just totals. A brand with an average score of 7 might be at 9 on innovation but 5 on value for money. The average hides the story.
  • Watch model-specific perception. If one AI model rates your customer experience poorly, check the actual responses to understand why. It may be drawing on outdated reviews or competitor comparisons.
  • Use sentiment alongside visibility. High visibility with negative sentiment is worse than lower visibility with positive sentiment. Aim for both.
  • Sentiment changes slowly. Unlike visibility scores which can shift with each prompt run, sentiment tends to move gradually as AI models' underlying data evolves.

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