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New features

Competitor detection

Competitors could now be extracted automatically from monitored answers:
  • Discover competitors without maintaining a complete manual list
  • Detect supported indirect mentions
  • Refresh the observed competitor set on each monitoring cycle
Three detection layers:
  • Semantic matching: Detects brands even when paraphrased
  • Domain inference: Extracts and validates domains from partial mentions
  • Historical patterns: Learns which brands appear together in your category

Looker Studio data connector

Connect Qwairy to your existing reporting stack:
  • Visibility scores by brand, provider, and date
  • Sentiment breakdown (positive/neutral/negative trends)
  • Share of voice vs. competitors over time
  • Citation sources driving your mentions
  • Provider comparison (ChatGPT vs. Perplexity vs. Claude)
Generate API tokens in Workspace Settings → Integrations.

Sentiment analysis

Sentiment analysis added context to detected mentions:
  • Tone: Positive, neutral, negative, or mixed
  • Context: What aspect is discussed (pricing, features, support)
  • Source weight: Sources with an authority label shown separately
Uses:
  • Detect reputation risks early
  • Benchmark sentiment vs. competitors
  • Compare messaging with recurring positive and negative patterns

Dark mode

Full dark theme with system preference detection. Toggle manually or let it follow your OS setting.

Improvements

  • Competitor updates: Engine runs on every monitoring cycle
  • Data exports: Download supported datasets with filters applied
  • Visualizations: Updated sentiment and perception charts