The rapid growth of generative AI has led to a surge in AI crawlers that frequently scrape website content for model training. This leads to unauthorized use of original content and consumes significant bandwidth. The AI Crawler Management feature in Edge Security Accelerator (ESA) uses a specialized detection engine and flexible access control policies to identify major AI crawlers, apply differentiated access permissions, and analyze access data. This protects your intellectual property and optimizes resources.
What is an AI crawler
An AI crawler is an automated program that collects data from the internet to train AI models or power AI applications. As generative AI technology develops rapidly, numerous AI companies use crawlers to scrape content from public websites. This content is used to train large language models, build knowledge bases, and develop AI applications. These crawlers typically access websites at a high frequency, creating these challenges for content creators and website operators:
Intellectual property protection: Unauthorized use of original content to train AI models without proper copyright protection.
Resource consumption: A high volume of crawler requests consumes bandwidth and server resources, increasing operational costs.
Access control: Difficulty distinguishing authorized partner crawlers from unauthorized ones.
Lack of visibility: Lack of insight into which AI services access your content, making it difficult to assess its value and impact.
Common AI crawlers include:
ChatGPT LLM: Used for training ChatGPT and other GPT-series models.
Amazonbot: Used for training Amazon-series models.
Meta-ExternalAgent: Meta's crawler for AI products.
Other official crawlers from major AI companies.
Why you need AI crawler management
With its specialized detection engine and flexible access control policies, the AI Crawler Management feature in ESA helps you address these challenges:
Accurate identification: Automatically identifies official crawlers from major AI companies.
Flexible control: Set block or monitor policies for different AI crawlers for granular access control.
Data analysis: View crawler access trends, popular content, and traffic consumption to assess your content's value.
Compliance monitoring: Track whether crawlers adhere to your robots.txt rules and identify non-compliant access (Enterprise Edition).
Key features
AI Crawler Management provides the following key features:
Crawler identification and access control
Identifies major AI crawlers based on the characteristics of traffic passing through ESA.
Supports two control actions: Block and Monitor.
Allows you to define a custom Block Response Page and Response Code for managing blocked requests.
Data analytics and monitoring
View real-time data such as total AI crawler requests, top crawler rankings, and access trends.
Analyze access patterns and popular content across three dimensions: crawler, content, and time.
Supports exporting analytical data for offline analysis and reporting.
Use cases
Content publishers and creators
Scenario: You operate a platform with original content, such as articles, tutorials, or knowledge bases, and are concerned about copyright protection and AI usage rights.
Solution:
Monitor all AI crawler traffic to understand which AI services are using your content.
Selectively allow AI crawlers from your partners while blocking unauthorized ones.
Analyze the popularity of your content among AI crawlers to assess its value and impact.
E-commerce and commercial websites
Scenario: You run a website with commercially sensitive information, such as product catalogs, pricing, or inventory data, and want to prevent competitors from scraping it with AI crawlers.
Solution:
Set specific access control rules for sensitive paths, such as
/productsand/pricing.Monitor crawler traffic consumption to optimize the use of bandwidth and server resources.
Technical documentation and API sites
Scenario: You provide content such as API documentation, technical tutorials, and developer resources, and you want to control how this content is used for training AI models.
Solution:
Grant access to partnered AI services while blocking other AI crawlers.
Analyze which technical documents are most frequently accessed by AI crawlers to guide your content optimization strategy.
Relationship with bot management
AI Crawler Management is a specialized feature within Bot Management. The two are complementary but have different focuses:
Dimension | Bot management | AI crawler management |
Scope | All types of bot traffic, including search engines, scrapers, and malicious bots | Focuses specifically on crawlers used for AI training and applications |
Primary focus | Security, SEO, and resource conservation | Intellectual property protection and content licensing management |
Key capabilities | JavaScript detection, behavioral analysis, and multi-layered rules | Specialized identification of AI crawlers |
Priority | Basic Bot Configuration > AI Crawler Configuration > Advanced Bot Configuration | |
Recommendation | Use both features together for comprehensive bot management and targeted AI crawler control. | |
Support in different plans
Entrance edition | Pro edition | Enterprise edition | |