Can I improve negative sentiment in AI responses?

Yes. Publish positive content, case studies, testimonials, and expert reviews. Address criticism directly with factual rebuttals. Build authority through thought leadership. Over time (3-6 months), LLMs incorporate fresher, more positive signals and sentiment improves.

How accurate is automated sentiment analysis?

The AI achieves 85-90% accuracy on sentiment classification. Nuanced cases (mixed sentiment, sarcasm) may require human review. We provide confidence scores and allow manual adjustments to train the system for your specific industry context.

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Metrics

Sentiment Analysis

Automated analysis of the tone and connotation (positive, negative, neutral) of brand mentions in AI responses.

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What is Sentiment Analysis?

Sentiment Analysis in the context of GEO involves qualitatively evaluating how your brand is presented in LLM responses. An LLM can mention your brand positively ('excellent choice'), neutrally ('an available option'), or negatively ('known for its problems with...'). This analysis helps identify problematic perceptions and adjust your content and reputation strategy accordingly.

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

Being mentioned frequently doesn't guarantee success if sentiment is negative. A brand mentioned in 80% of responses but negatively can lose to a competitor mentioned in 30% positively. Sentiment analysis helps you understand not just visibility, but perception and positioning.