How does the Qwairy v1.10 competitor engine differ from keyword-based tools?

The v1.10 engine uses semantic matching, domain inference, and historical pattern learning to auto-discover competitors from AI responses, catching indirect mentions and paraphrases that keyword-based tools miss by 40-60%.

What data is available through the Looker Studio connector?

The Looker Studio connector exposes daily metrics including visibility scores by brand and provider, sentiment breakdown trends, share of voice vs. competitors, citation sources, and provider comparison data via API.

How does sentiment analysis help optimize AI visibility?

Sentiment analysis tracks tone (positive/neutral/negative), context of mentions, and source weight to help detect reputation risks early, benchmark against competitors, and optimize messaging based on what features get praised or criticized.

Why does Qwairy track competitor mentions automatically?

Manual competitor lists miss emerging threats that appear in AI responses before they rank in Google. Automatic extraction updates your competitive landscape dynamically, surfacing new entrants weeks before traditional market research.

What AI providers does Qwairy v1.10 sentiment analysis cover?

Sentiment analysis works across all major AI platforms including ChatGPT, Perplexity, Claude, and Gemini, analyzing every response for tone, context, and perception to track how different platforms describe your brand.

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Qwairy v1.10: Competitor Engine, Looker Studio & Dark Mode | Qwairy

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v1.10 Update

Qwairy v1.10: Smarter Competitors, Looker Studio & Dark Mode

Nicolas Ilhe•November 19, 2025•Updated Dec 22, 2025•6 min read•

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Discover our new competitor extraction engine that automatically identifies and classifies every competitor from your AI monitoring data. Plus Looker Studio integration to connect your GEO metrics to your dashboards, enhanced sentiment analysis, and a brand new dark mode.

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