Skip to main content
WES-GBeta
  • Guidelines
  • About
  • Contribute
  • Get The Badge

Filter by topic

Governance

  • 0.1 Documented Policy
  • 0.2 Essential Tracking and Ads

AI

  • 8.1 Model Selection
  • 8.2 Context Management & Token Usage
  • 8.3 FM (Foundational Model)-as-a-Service & Shared Infrastructure
  • 8.4 Prompt Efficiency
  • 8.5 Cache and Reuse
  • 8.6 Loop & Iteration Management

UX / Design

  • 1.2 Rich Content
  • 1.3 Use of Images
  • 1.4 Awareness
  • 1.5 Data Transfer and Emissions
  • 1.6 Carbon Aware Design
  • 1.7 Colour Scheme
  • 1.8 User Retention

Images

  • 2.1 File Formats
  • 2.2 Image Optimisation
  • 2.3 Image Resolution
  • 2.4 Browser Cropping

Video

  • 3.1 Autoplay
  • 3.2 Script Loading
  • 3.3 Streaming Resolution

Content

  • 4.1 Content Audit
  • 4.2 Digital First
  • 4.3 Easy Access
  • 4.4 Descriptive Headings

Fonts

  • 5.1 Font Variations
  • 5.2 File Formats
  • 5.3 Clean Files
  • 5.4 System Fonts

Web Development

  • 6.1 Lazy Loading Images
  • 6.2 Responsive Design
  • 6.3 Modular Design
  • 6.4 Minification
  • 6.5 Templates
  • 6.6 Asset Loading
  • 6.7 Analytics
  • 6.8 Data Minimisation
  • 6.9 Stylesheet
  • 6.10 Text Compression
  • 6.11 Carbon Aware Development
  • 6.12 API Efficiency

Development Operations

  • 7.1 Bad Robots
  • 7.2 Dev Environments
  • 7.3 Dataset
  • 7.4 Site Architecture
  • 7.5 Caching
  • 7.6 Pipeline Code
  • 7.7 Dependency Patching
  • 7.8 Green Hosting

7.1 Bad Robots

Prevent bad robots.

Easy to implement

13 High impact score

Introduction:

Bad bot traffic is a bigger share of the web than most people assume; industry research puts overall 2021 web traffic at roughly 57.7% human, 14.6% good bots (search crawlers and the like), and 27.7% bad bots. Sophisticated bots are increasingly good at mimicking human behaviour, which makes them harder to filter out with simple rules and every request they make still costs energy and carbon, even though it delivers no value to a real visitor.

DDoS traffic can be a far larger share still, and it varies enormously by region and sector: one industry trend report found that in a recent year, 93% of all network- and transport-layer traffic to Chinese-registered businesses was attack traffic only 7% was legitimate with Lithuania at 87% and Finland at 80%, and 42% of application-layer traffic to Georgia-registered businesses also identified as attack traffic. Blocking this at source, e.g. with a WAF or at the cloud subscription level, removes a significant and entirely wasted compute and network load.

This is particularly important if your website is running ads.

Resources:

Radware

Cloudflare

Blackhole Bad Bots

Global DDoS attack trends

← Previous Next →

© 2026

Sustainable Website Design by: Kyan, development: Complex Creative & Studio 24

Privacy Policy Cookie Policy