Sentiment Analysis
Automated analysis of the tone and connotation (positive, negative, neutral) of brand mentions in AI responses.
What is Sentiment Analysis?
Sentiment Analysis is the process that produces the sentiment score: while sentiment is the resulting metric, sentiment analysis is the method used to classify how a brand is portrayed in AI responses. Modern approaches rely on LLM-based classification to label each brand mention as positive, neutral, or negative, often with a confidence level, and can score sentiment per mention or aggregated per answer. Running this analysis continuously across monitored prompts surfaces problematic perceptions early, so you can adjust your content and reputation strategy before negative framing becomes entrenched.
How Qwairy Makes This Actionable
Qwairy uses AI to perform automated sentiment analysis on every answer containing your brand. Get sentiment scores, view detailed breakdowns, and identify answers that need attention.
Frequently Asked Questions
Related Terms
Sentiment
Emotional tone or attitude expressed in an AI response about a brand (positive, negative, or neutral).
Brand Mention
Explicit appearance of a brand name in an AI response, distinct from a linked source citation.
Monitoring
Regular tracking of a brand's presence in AI responses, covering mentions, citations, sentiment, and competitive positioning over time.