> ## Documentation Index > Fetch the complete documentation index at: https://docs.qwairy.co/llms.txt > Use this file to discover all available pages before exploring further. # Social Signals > Track which social platforms and communities influence AI recommendations for your brand 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: ### 1. Which social platforms influence AI about my brand? 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 ### Platform Tabs 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 | Click any community to drill into its individual citations. (Some platforms have no community grouping — in that case only the Citations sub-tab is shown.) #### 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. ## Supported Platforms Social Signals tracks citations from: * **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 | Active filters appear as badges below the filter bar. Click the X to clear all filters. ## 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 | ## Pagination 20 items are shown per page in the community and citation tables. Use the previous/next controls to move between pages. ## Related use cases * [Are Reddit threads or forum posts influencing what AI says about my brand?](/use-cases/sources/reddit-forums-influencing-ai)