Sentiment score
See whether individual brand mentions are very positive, positive, neutral, negative or very negative.
Understand how positively or negatively AI platforms represent your brand, products and competitors. ASCEND LLM tracks sentiment across AI responses, helping you see changes in perception, the topics driving them and where your brand's AI reputation may need attention.
Sentiment - Leaf Shave is described positively in 82% of AI answers
Share of Voice: 21.4% · Rank: 1/8 ↑
Compare Leaf Shave with its competitors
| Rank | Brand | Share |
|---|---|---|
| 1 | 21.35% | |
| 2 | 11.24% | |
| 3 | 10.86% | |
| 4 | 9.74% | |
| 5 | 8.99% | |
| 6 | 7.87% | |
| 7 | 7.49% | |
| 8 | 4.12% | |
| Others | 18.34% |
| Rank | Domain | Citations |
|---|---|---|
| 1 | 1159 | |
| 2 | 963 | |
| 3 | 948 | |
| 4 | 945 |
Share of AI answer mentions by brand
Being mentioned in an AI response is only part of the picture. The way your brand is described can influence how people understand and evaluate it.
Sentiment Tracking shows whether AI responses describe your brand positively, negatively or neutrally, giving you a clearer view of how your brand is represented across the AI search landscape.
See the sentiment. Understand what drives it. Track how it changes.
ASCEND LLM analyses the sentiment of brand mentions within the prompts you are tracking, helping you understand the tone and context surrounding your brand.
See whether individual brand mentions are very positive, positive, neutral, negative or very negative.
Track how sentiment changes over time and identify shifts in how AI describes your brand.
Understand which topics are associated with positive or negative perceptions of your brand.
Compare sentiment around your brand with the sentiment associated with competitors in the same AI conversations.
Identify emerging shifts in perception and investigate what may be contributing to them.
ASCEND LLM tracks sentiment across leading AI search experiences, including:
ChatGPT · Gemini · Perplexity · Google AI Overviews · Google AI Mode
Overall sentiment only tells you part of the story.
By looking at the topics and questions behind positive and negative mentions, you can understand what is shaping AI's representation of your brand.
This can help you identify:
Sentiment data becomes more useful when you can connect it to the work that shapes your brand's online presence.
Reputation management
Identify negative or unfavourable AI representations and investigate the sources and topics behind them.
PR and communications
Monitor changes in AI sentiment following campaigns, announcements or significant news.
Content strategy
Identify topics where AI perception could benefit from clearer, more useful or better-supported information.
Competitor analysis
Compare how AI describes your brand and competitors across the questions that matter to your category.
GEO strategy
Use sentiment alongside prompt, citation and competitor data to build a broader picture of your AI visibility and reputation.
Sentiment Tracking works alongside Prompt Tracking and Citation Sources to give you a fuller picture of AI visibility.
Monitor the prompts that matter to your brand across leading AI platforms.
See how AI describes your brand and classify the sentiment of relevant mentions.
Find sentiment patterns, topic-level perceptions and changes in how your brand is represented.
Use those findings to inform reputation, content, PR and wider GEO activity.
Know how AI talks about your brand. Know what is shaping the perception.
Traditional search can show you where your brand appears. AI search also requires you to understand how your brand is represented within the answer.
Is AI describing your brand positively or negatively?
Which topics are associated with favourable or unfavourable perceptions?
Are competitors receiving more positive recommendations?
Is sentiment changing over time?
Are particular questions or markets producing different perceptions?
Sentiment Tracking gives you a way to monitor these changes and investigate the factors shaping your brand's representation across AI search.
Frequently asked questions
Sentiment tracking measures how AI platforms describe your brand when it appears in their responses. It helps you understand whether mentions are positive, neutral or negative and what topics may be influencing that perception.
Track sentiment across AI responses, identify the topics shaping perception and understand where your brand's AI reputation may need attention.