Brand-specific analysis
The primary view focuses on sentiment extracted specifically about your brand from AI responses.Overview metrics
| Metric | Description |
|---|---|
| Total Analyses | Number of brand-specific sentiment extractions performed |
| Positive Count | Responses where your brand is presented favorably |
| Negative Count | Responses where concerns are raised about your brand |
| Neutral Count | Factual mentions without strong sentiment |
| Positive % | Percentage of positive mentions, with change vs. previous period |
Sentiment distribution
A visual bar shows the breakdown of positive, neutral, and negative mentions at a glance. The trend chart below tracks how this distribution changes over time — useful for spotting shifts in how AI models perceive your brand.Top mentions
See the actual AI-generated text snippets that mention your brand, categorized as positive or negative. Each snippet shows which engine produced it and which tracked prompt triggered it. This gives you direct visibility into what AI models are saying.Brand sentiment by theme
Understand how your brand is perceived across different conversation themes. Each theme shows:- Sentiment breakdown (positive, negative, neutral percentages)
- Associated keywords
- Theme name and topic area
Competitor sentiment comparison
A comparison table showing how your brand’s sentiment stacks up against competitors:| Column | Description |
|---|---|
| Brand | Brand name |
| Total Mentions | How often this brand is mentioned |
| Avg Position | Average mention position in AI responses |
| Sentiment Distribution | Visual bar of positive/neutral/negative |
| Positive % | Percentage of positive mentions |
| Negative % | Percentage of negative mentions |
| Avg Sentiment Score | Numerical sentiment score |
Overall response analysis
A secondary view that analyzes the general tone of all AI responses — not just brand-specific mentions. This helps you understand the broader conversation context around your tracked prompts. Metrics include total responses, brand mentions count, sentiment distribution (shown as a donut chart), and a response sentiment trend chart over time.Filters
- Date range — select the analysis period
- LLM engines — filter by individual engines (ChatGPT, AI Mode, AI Overviews, etc.) using engine buttons
- Prompt labels — filter by prompt categories (multi-select)
Recent brand mentions
A live feed of recent AI responses mentioning your brand, showing:- The response snippet with sentiment indicator
- Which AI engine generated it
- Which prompt triggered it
- The date
Related pages
Key Metrics
How sentiment score is calculated.
Mentions
Explore all brand mentions across AI responses.
Competitor Analysis
Compare competitor performance on all metrics.
Understanding Responses
How AI responses are collected and analyzed.