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🔍 Part 1 – Overview of the Queries Tab

The Queries section in Qwairy lets you analyze and monitor the key questions users are asking about your brand across various platforms and AI providers. Queries Overview This view helps you understand:
  • What topics are associated with your brand
  • How visible your brand is across relevant queries
  • Which competitors are also being mentioned
  • Which AI providers surface your brand in their answers
At the top of the page, you’ll find four essential metrics:
  • Total Queries
    The number of tracked queries that mention or relate to your brand.
    Example: 50 queries currently tracked for Volkswagen.
    Queries Table
  • Average Position
    Your average ranking across all queries where your brand appears.
    Example: Volkswagen has an average position of #5.40.
  • Visibility
    The percentage of queries in which your brand is mentioned at least once.
    Example: 82% visibility means your brand is visible in 41 out of 50 queries.
  • Share of Voice
    The proportion of all answers (across all brands and queries) in which your brand is mentioned.
    Example: Volkswagen has a 4.80% share of voice across 523 total brand mentions.
These KPIs give you a high-level view of your brand’s presence and performance in real search-like or AI-generated queries.

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➕ How to Add Queries

You can add queries in two ways:
  1. Manually, using the “Add Queries” button in the top right corner of the interface.
  2. Automatically, by completing the onboarding flow, which suggests initial queries based on your brand and industry.

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🧭 Part 2 – Navigating the Query Table

The core of the Queries tab is a detailed table showing every query you’re tracking. Each row corresponds to a unique user question and includes rich context to help you evaluate brand performance and competitive landscape. Queries Table

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🔠 Columns in the Query Table

Each query includes the following key elements:
  • Query Text
    The actual question asked (e.g., “How do electric cars compare to traditional gasoline vehicles in terms of cost and maintenance?”)
  • Tags & Funnel Stage
    You can assign tags to organize queries by theme (e.g., electric car, suvs under 30000) and label them by funnel stage (Top / Middle / Bottom of Funnel).
    Helps you understand where in the customer journey the query belongs.
  • AI Providers
    Icons indicate which AI models are answering the query:
    • ✦ AI Overview
    • 🔵 OpenAI
    • 🟠 Anthropic
    • 🧊 Perplexity
    • 🌠 Google Generative AI
  • Top Competitors Mentioned
    This shows which competitor brands were mentioned in answers to this query. You’ll also see how many times each was mentioned.
    Example: Tesla, Nissan, and Ford appear in a query about electric car concerns.
  • Top Sources
    The most influential sources that were cited across providers when answering this query. You can view their rank, domain, and how often they were used.
  • Answer Count
    The number of total answers across providers that responded to this query (e.g., “3 answers”).

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🔍 Part 3 – Filters & Query Exploration

To help you dig into the most relevant insights, the Queries interface includes a powerful set of filters.

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🧩 Available Filters

You can refine your view using the following options:
  • Search Bar
    Quickly locate specific queries by typing part of the question text.
  • Query Type (Funnel Stage)
    Filter by where the query falls in the user journey:
    • Top of Funnel (awareness-based queries)
    • Middle of Funnel (comparison or consideration)
    • Bottom of Funnel (purchase-intent or pricing)
  • Keywords
    Only view queries related to specific keywords. Helpful to zoom in on core product topics (e.g., “electric car”, “design software”).
Queries Keyword Filter
  • Tags
    Filter by tags that your team has applied to queries manually — for example: Sustainability, EV Market, Luxury, Under 30k, etc.
  • Competitor Mentions Queries Competitor Filter
    Segment queries based on whether and how competitors are present:
    • ✅ Mentions your brand
    • ⚠️ Mentions your brand partially
    • ❌ Needs your brand as a competitor
    • 🔁 Mentions other competitors
    • 🚫 No competitors mentioned
  • Source Status
    See if the query is backed by strong content sources or not — a helpful signal to identify where you might need to improve credibility.

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⚙️ Part 4 – Managing Queries

Qwairy gives you full control over your query set so you can continuously adapt to your brand strategy, audience questions, and AI visibility goals.

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➕ Add New Queries

To add queries manually:
  1. Click the “Add Queries” button in the top-right corner of the Queries tab.
  2. Enter one or more natural-language queries (e.g., “Is Volkswagen a good electric car brand?”).
  3. Assign optional tags and funnel stages.
  4. Select which AI providers you want Qwairy to analyze the query with.
💡 You can add as many queries as needed — whether they’re general questions or highly targeted use cases.

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🗂 Organize with Tags

Use custom tags to group queries by:
  • Business priority
  • Product line
  • Campaign
  • Language or geography
  • Funnel stage or content theme
Tags are displayed directly in the table and can be used as filters.

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🗑 Remove or Archive

To clean up your query list:
  • Use “Archive” to temporarily remove a query from monitoring without losing its data.
  • Use “Delete” to permanently remove it from your workspace (not recommended unless you’re sure).
🔁 Archived queries can be reactivated anytime via the Archive tab.