Sentiment Tracking

See how AI describes your brand

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.

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Leaf Shave logoLeaf ShaveLast 30 days

Sentiment - Leaf Shave is described positively in 82% of AI answers

2 Aug8 Aug14 Aug20 Aug26 Aug31 Aug

Share of Voice Breakdown

Compare Leaf Shave with its competitors

RankBrandShare
1Leaf Shave logoLeaf Shave21.35%
2Hanni logoHanni11.24%
3OUI the People logoOUI the People10.86%
4Billie logoBillie9.74%
5Schick logoSchick8.99%
6Gillette Venus logoGillette Venus7.87%
7Athena Club logoAthena Club7.49%
8Henson Shaving logoHenson Shaving4.12%
Others18.34%

Top Citations

RankDomainCitations
1leafshave.com logoleafshave.com1159
2reddit.com logoreddit.com963
3allure.com logoallure.com948
4nytimes.com logonytimes.com945

Brand Mentions

Share of AI answer mentions by brand

21.4%
  • Leaf Shave
  • Hanni
  • OUI the People
  • Billie
  • Schick
  • Gillette Venus
  • Athena Club
  • Henson Shaving
  • Others
Start tracking your prompts

Understand how AI perceives your 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.

Track the sentiment behind AI responses

ASCEND LLM analyses the sentiment of brand mentions within the prompts you are tracking, helping you understand the tone and context surrounding your brand.

Sentiment score

See whether individual brand mentions are very positive, positive, neutral, negative or very negative.

Sentiment trends

Track how sentiment changes over time and identify shifts in how AI describes your brand.

Sentiment by topic

Understand which topics are associated with positive or negative perceptions of your brand.

Competitor sentiment

Compare sentiment around your brand with the sentiment associated with competitors in the same AI conversations.

Sentiment changes

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

See what is driving brand sentiment

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:

  • Topics consistently associated with positive sentiment
  • Areas generating negative or neutral perceptions
  • Questions where competitors receive more favourable representation
  • Changes in sentiment around specific topics
  • Differences in sentiment between AI platforms and markets

Turn sentiment data into opportunities

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.

From sentiment data to GEO strategy

Sentiment Tracking works alongside Prompt Tracking and Citation Sources to give you a fuller picture of AI visibility.

  1. 01

    Track

    Monitor the prompts that matter to your brand across leading AI platforms.

  2. 02

    Analyse

    See how AI describes your brand and classify the sentiment of relevant mentions.

  3. 03

    Identify

    Find sentiment patterns, topic-level perceptions and changes in how your brand is represented.

  4. 04

    Prioritise

    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.

Why sentiment matters for GEO

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

Everything you need to know about Sentiment analysis

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.

Understand how AI represents your brand

Track sentiment across AI responses, identify the topics shaping perception and understand where your brand's AI reputation may need attention.

Start free trial No credit card required