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 |
| Active Platforms | Number of distinct social platforms cited by AI models |
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:
Monitor > Insights > Social Signals
The page opens on an Overview tab, followed by one tab per detected platform (only platforms that actually appear in your AI citations are shown, sorted by citation volume).
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
Each detected platform (Reddit, YouTube, Stack Overflow, etc.) gets its own tab, with a citation count badge. Inside a platform tab, the data is split into two nested sub-tabs:
Communities
The communities on that platform cited by AI models:
| Column | Description |
|---|
| Community | Community name (e.g., r/running, a YouTube channel) |
| Citations | Number of times cited |
| Avg Position | Average position in AI responses |
| Providers | AI models citing this community |
Citations
Individual social posts and threads cited on that platform:
| Column | Description |
|---|
| Citation | Post title and URL |
| Community | Source community |
| Citations | Number of times cited |
| Providers | AI models using this citation |
| Last Seen | Most recent citation date |
There is no dedicated “Opportunities” tab. Instead, Qwairy flags communities and prompts where competitors appear but you don’t with an Opportunity badge, so you can spot gaps directly in context.
- Reddit — Subreddits and discussions
- YouTube — Videos and channels
- Stack Overflow — Questions and answers
- Quora — Questions and answers
- Hacker News — Threads and discussions
- Product Hunt — Product launches and discussions
- Discord — Servers and channels
- Twitter/X — Tweets and threads
- LinkedIn — Posts and articles
- TikTok — Videos
- Forums — Various community forums
- Other — Any remaining community sources not matched to a known platform
Filtering Options
The page respects the global filters shared across the dashboard:
| Filter | Description |
|---|
| Provider | Filter by AI model (ChatGPT, Claude, etc.) |
| Topic | Filter by topic |
| Tag | Filter by custom tags |
| Funnel | Filter by funnel stage (TOFU / MOFU / BOFU) |
| 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 |
