Documentation Index
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AI models frequently cite community discussions and user-generated content when answering questions. Social Signals tracks which social platforms, subreddits, YouTube channels, and forums influence AI recommendations for your brand.
What Social Signals Tracks
Whenever an AI model cites a social source in a response — example:
“According to discussions on r/running, the Nike Pegasus is highly recommended for beginners…”
Qwairy automatically extracts:
- The social platform (Reddit, YouTube, Twitter/X, etc.)
- The community (subreddit, channel, group)
- The citation URL and title
- The AI provider (ChatGPT, Claude, Perplexity, etc.)
- The prompts that triggered this citation
- Whether your brand or competitors are mentioned
Dashboard KPIs
At the top, you’ll see four key metrics:
| Metric | Description |
|---|
| Social Citations | Total citations from social platforms in AI responses |
| Social Share of Voice | Percentage of all AI citations that come from social sources |
| Top Platform | The social platform most frequently cited by AI models |
| Opportunities | Prompts where you could improve visibility (high priority shown) |
Purpose of Social Signals
Social Signals helps you answer:
See which communities (Reddit, YouTube, forums) AI models cite when discussing your industry.
2. What communities discuss topics relevant to my brand?
Identify subreddits, YouTube channels, and forums where conversations happen.
3. Where are competitors mentioned but not me?
Find opportunities where you’re missing from influential social discussions.
4. Which AI providers rely most on social sources?
Understand how different AI models weight social content in their responses.
Navigating Social Signals
From the main navigation:
Insights → Social Signals
The page has four tabs:
Overview Tab
Summary view with:
- Time series chart of social citations over time
- Platform distribution breakdown
- Provider distribution (which AI models cite social sources)
- Top cited URLs
Communities Tab
All social communities cited by AI models:
| Column | Description |
|---|
| Community | Community name (e.g., r/running, @TechReviews) |
| Platform | Social platform icon |
| Citations | Number of times cited |
| Avg Position | Average position in AI responses |
| Providers | AI models citing this community |
Citations Tab
Individual social posts and threads cited:
| Column | Description |
|---|
| Citation | Post title and URL |
| Community | Source community |
| Platform | Social platform |
| Citations | Number of times cited |
| Providers | AI models using this citation |
| Last Seen | Most recent citation date |
Opportunities Tab
Prompts where you could improve social visibility:
| Column | Description |
|---|
| Prompt | The user question |
| Priority | Very High, High, Medium, Low |
| Social Citations | Number of social sources cited |
| Visibility | Your brand vs competitors presence |
| Platforms | Social platforms involved |
- Reddit — Subreddits and discussions
- YouTube — Videos and channels
- Twitter/X — Tweets and threads
- LinkedIn — Posts and articles
- Facebook — Groups and pages
- Quora — Questions and answers
- Forums — Various community forums
Filtering Options
| Filter | Description |
|---|
| Provider | Filter by AI model (ChatGPT, Claude, etc.) |
| Priority | Filter opportunities by priority level |
| Topic | Filter by topic |
| Tag | Filter by custom tags |
| Period | All time, Last day, Last 7 days, Last 30 days |
Use Cases
| Use Case | Description |
|---|
| Identify influential communities | Find which subreddits and forums AI models trust |
| Spot opportunities | Discover conversations where competitors appear but you don’t |
| Track social signals | Monitor how social content influences AI responses |
| Prioritize engagement | Focus on communities with highest AI citation rates |
| Benchmark competitors | See which social discussions mention competitors |
