> ## Documentation Index > Fetch the complete documentation index at: https://docs.peakmetrics.com/llms.txt > Use this file to discover all available pages before exploring further. # Identifying Automation and Coordinated Behavior with PeakMetrics Bot Detection > PeakMetrics Bot Detection helps you identify and segment likely automated or coordinated accounts within your social media mentions. Read below to learn more about how bot detection works and how to leverage it to gain deeper insights. Bot Detection is an **interactive filter** within your workspace that highlights the likelihood of coordinated bot activity. You can use it to: * View only mentions published bot-like accounts. * Compare organic user activity vs. automated or coordinated activity. * Layer the filter with other insights—like **favorability** or **themes**—to uncover deeper patterns in your data. Image **How Bot Detection Works** Bot detection determines the likelihood that an account is using automation to post content. Our algorithm assesses multiple behavioral and content-based signals such as posting frequency, account age, and follower count to determine the likelihood that an account is automated. If an account is explicitly labeled as a bot on its native platform, our algorithm will automatically classify it in the 'Almost Certain' category. Based on these signals, accounts are grouped into categories that reflect our confidence level in labeling them as automated accounts. We may flag the account as 'Further Investigation' when a bot category is not conclusive. *Note: Bot Detection is available only for social channels including Twitter (X), Youtube, Reddit, Telegram, Instagram, Discord, Weibo, and VK.* **How to Use Bot Detection in the Platform** 1. **Apply the Bot Detection filter** from your workspace filters panel. Select the level of confidence or bot-likelihood you want to analyze. 2. Use **additional filters**—such as *Smart Categories* for additional insights like *favorability* or *themes*—to segment further (e.g., unfavorable mentions driven by bots vs. real users). Review your **AI Summary**, which automatically updates to highlight key insights and recurring themes from bot-likely networks. **Additional Tips** * Combine Bot Detection with the **Volume Over Time** chart to spot sudden spikes in automated activity. * Use the **AI Summary** for a quick thematic overview and leverage the AI chatbot to ask targeted questions about that segment of filtered mentions. * Review both **bot-likely** and **non-bot** segments to understand how automation is influencing the broader conversation.