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Qwairy automatically analyzes the tone and contextual positioning of your brand within thousands of AI-generated responses. Each mention receives:
  • A Sentiment Score — measuring how positively or negatively your brand is described.
  • A Relevance Score — showing how pertinent a brand mention or source citation is to a specific prompt or query.
Together, these metrics help you understand not just what LLMs say about you, but how and where they say it.

Main Dashboard

The Sentiment Analysis dashboard displays aggregated data for your selected brand or competitor.

1. Sentiment Overview

A circular chart classifies all analyzed mentions into:
  • 🟢 Positive — favorable tone or endorsement
  • 🟠 Neutral — factual, descriptive, or balanced mention
  • 🔴 Negative — unfavorable, critical, or dismissive tone
Example:
Nike shows 98% Positive, 2% Neutral, 0% Negative — indicating strong brand perception across AI responses.
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2. Filters and Comparison Options

You can filter or compare data by:
Filter TypeDescription
BrandSwitch between Self (your brand) and Competitors from your tracked list.
ProviderAnalyze mentions from ChatGPT, Gemini, Claude, Perplexity, or others.
TopicFocus on specific categories like running shoes, sportswear, or gym clothes.
Time RangeView sentiment trends All time or for specific periods.
Sort OrderDisplay Newest first or Oldest first mentions.

3. Mention-Level View

Below the chart, each mention is listed with full context, including:
  • Brand name and domain
  • Sentiment score (e.g., +85.00)
  • Relevance score (e.g., +75.00)
  • Provider (ChatGPT, Claude, etc.)
  • Topic (e.g., running shoes)
  • Prompt that generated the mention
  • AI-generated summary describing the tone and positioning

Exporting Data

Click Export (top right) to download:
  • All sentiment and relevance data
  • Time series data (CSV)
  • Mention-level summaries
Use exports for:
  • Brand perception reporting
  • Competitive benchmarking
  • Marketing or PR dashboards