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Automated analysis of the tone and connotation (positive, negative, neutral) of brand mentions in AI responses.
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.
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.
Emotional tone or attitude expressed in an AI response about a brand (positive, negative, or neutral).
Explicit appearance of a brand name in an AI response, distinct from a linked source citation.
Regular tracking of a brand's presence in AI responses, covering mentions, citations, sentiment, and competitive positioning over time.