> For the complete documentation index, see [llms.txt](https://docs.onlymonster.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.onlymonster.ai/management-system/traffic-metrics-bot-detection.md).

# Traffic Metrics Bot Detection

Bot Detection helps managers identify potential bot accounts among fans acquired through traffic links. This improves visibility into real audience activity and helps prevent traffic metrics from being inflated by automated or fake accounts.

### Overview

Bot Detection operates at the level of individual traffic links and displays results throughout the Link Overview interface.

Supported traffic types:

* Tracking Links
* Trial Links

Bot Detection is not available for Direct Traffic. For Direct Traffic, bot-related metrics always display N/A.

### Enabling Bot Detection

You can start a bot scan from the Link Overview using the Bot Detection button in the top-right corner of the page.

Once Bot Detection is enabled for a link:

* Newly acquired fans are scanned automatically.
* A notification appears after the scan is completed.

If scan results are not reviewed within 10 days, Bot Detection is automatically disabled for that link. You can re-enable it at any time from Link Overview.

Where Bot Detection Appears

#### Link Overview — Bots Block

Next to the Fan Purchase Frequency block, the Bots block displays aggregated detection results for the selected link:

* Detected — Total number of fans identified as potential bots.
* Bot Rate — Percentage of detected bots among all fans acquired through the link.

#### Link Overview — Fan Table

Fans flagged by the system display a red bot icon next to their username.

* Bot icon visible — Fan was flagged as a potential bot
* No icon — Fan passed bot detection

This allows suspicious accounts to be identified directly within the fan list.

### Detection Methodology

To maintain the effectiveness of Bot Detection and reduce circumvention attempts, the specific detection signals, rules, and underlying analysis methods are not publicly disclosed.

### Usage and Responsibility

Bot Detection results are generated automatically and are provided for informational purposes only. Although the system aims for high accuracy, false positives and false negatives may occur.

Any decisions made based on Bot Detection data — including, but not limited to, fan moderation actions, refunds, payout adjustments, or communication with traffic providers — remain the sole responsibility of the organization using the information.

### Access Requirements

Bot Detection follows the same permissions structure as Traffic Metrics.&#x20;

The View Traffic Metrics permission is required to view bot-related data.&#x20;

The Edit Traffic Metrics permission is required to start and manage bot scans.<br>

\ <br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.onlymonster.ai/management-system/traffic-metrics-bot-detection.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
