The Responses section in Qwairy allows you to track and analyze AI-generated responses that mention your brand, helping you understand how large language models (LLMs) like OpenAI, Perplexity, or Anthropic are presenting your products and competitors to users.

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2. Dashboard Overview

At the top of the Responses section, you’ll find key metrics summarizing your brand’s AI performance across all tracked responses: Responses Dashboard Overview

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📊 Key Metrics

  • Total Responses:
    The total number of AI-generated responses that mention your brand across all selected prompts.
  • Avg. Position:
    Your brand’s average ranking when it is mentioned in responses (e.g., #5.4 means your brand appears, on average, in the 5th position).
  • Avg. Sentiment:
    The average sentiment score (from 0% to 100%) of responses containing your brand, helping you monitor whether mentions are generally positive, neutral, or negative.
  • Avg. Relevance:
    How relevant your brand is within the context of the response — a high score (e.g., 96.2%) indicates that the mention is highly contextual and not just incidental.

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3. Filtering & Customization

To make analysis easier and more actionable, the Responses dashboard includes powerful filters that allow you to slice your data in a variety of ways:

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🔍 Available Filters

Responses Dashboard Overview
  • By Question:
    You can filter responses by specific prompts you’ve previously tracked in the Prompts section. This ensures full alignment between user intent and brand response.
  • By Type:
    Filter based on funnel stage:
    • Top of Funnel: Awareness-oriented responses.
    • Middle of Funnel: Consideration-level content.
    • Bottom of Funnel: Purchase-oriented responses.
  • By AI Model:
    Focus your analysis on specific LLMs like:
    • GPT-4o (OpenAI)
    • Claude (Anthropic)
    • Gemini (Google)
    • Sonar (Perplexity)
    • AI Overview (Google)
  • By Topics:
    See responses that match specific themes (e.g., “electric car,” “affordable SUVs,” “2025 compact cars”) to evaluate positioning on targeted topics.
  • By Tags:
    Use custom tags applied during onboarding or analysis to organize and segment responses by campaign, product line, or strategic initiative.
  • By Competitor Visibility:
    Identify which responses contain competitors (fully, partially, or not at all). This helps you find opportunities to improve your share of voice or flag potential risks.
  • By Source Type:
    Review where responses are being generated from, such as editorial sites, forums, government sources, etc.

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4. Response Breakdown & Insights

Each response card in Qwairy gives you a complete view of how your brand — and your competitors — are being represented in a specific AI-generated response.

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🧾 What Each Response Contains

  • Full AI-Generated Response:
    You see the exact text that was generated by the LLM, just as a user would.
  • AI Provider:
    The model that generated the response is clearly labeled (e.g., GPT‑4o, Perplexity, Gemini, Claude, AI Overview), letting you track patterns by provider.
  • Prompt Context:
    The question that triggered this response is shown at the top, so you know the user intent behind the result.
  • Timestamp:
    The date and time when the response was retrieved — useful for monitoring how AI behavior evolves over time.
Responses Breakdown