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BotSieve – Bot & Fake Traffic Detector

제작자: custonis·
Detect bots, AI crawlers and suspicious traffic on your WordPress site. Monitor traffic quality in real time with a modern lightweight dashboard.
버전
1.1.0
최근 업데이트일
May 21, 2026

BotSieve helps website owners understand who is actually visiting their website.

Traditional analytics tools count nearly all requests equally, including bots, crawlers, scanners and suspicious traffic. BotSieve focuses on traffic quality and behavioral analysis instead of raw traffic numbers.

The plugin analyzes incoming requests locally on your WordPress installation and classifies traffic into categories such as:

  • Real visitors
  • AI crawlers
  • SEO crawlers
  • Known bots
  • Suspicious requests

BotSieve provides a modern dashboard with real-time traffic insights and crawler intelligence.

Features

  • Traffic Quality Overview (last 24 hours)
  • Real visitor vs crawler detection
  • AI crawler detection
  • Suspicious traffic detection
  • Top detected bots overview
  • Average trust score
  • Request activity timeline
  • Behavioral crawler insights
  • Rapid crawl detection
  • URL exploration detection
  • Lightweight modern dashboard UI
  • No external API calls
  • No third-party tracking
  • Local-only data storage

Dashboard Overview

BotSieve includes:

  • Traffic Quality cards
  • Real vs crawler traffic distribution
  • Top Bots monitoring
  • Traffic activity timeline
  • Behavioral insights
  • Aggressive crawler detection
  • Trust scoring system
  • Live monitoring interface

Use Cases

BotSieve is useful for:

  • Website owners
  • SEO professionals
  • Publishers and bloggers
  • Lead generation websites
  • Security-conscious site operators
  • AI crawler monitoring
  • WordPress administrators
  • Anyone interested in cleaner traffic analytics

Privacy

BotSieve does not send collected traffic data to external servers.

All request analysis happens locally inside your WordPress installation.

The plugin stores request-related metadata such as:

  • URLs
  • Request timestamps
  • User agents
  • Request behavior patterns
  • Hashed IP information

No personal visitor profiles are created.

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