Listen: To block or not to block? Bot is the question.
An overview of AI bots, distinguishing between training data scrapers used for LLM development and agentic bots designed for autonomous, goal-oriented tasks.
Transcript
Many website owners are blocking AI bots to protect their content from being scraped. But in doing so, they might accidentally turn away helpful AI visitors that drive real traffic to their sites.
To manage this, it helps to understand the difference between training data scrapers and agentic AI. Training scrapers act like digital vacuum cleaners. They passively gather massive amounts of text and images to train large language models, or LLMs. These are bots like OpenAI's GPTBot or ByteDance's Bytespider, which website owners can typically block using standard server settings.
On the other side are agentic bots and AI search assistants. These are active systems that do not just collect data; they perform tasks. They can navigate websites, make purchases, and search the web in real-time to answer user questions. Blocking them means missing out on search engine visibility and actual customers.
This is creating a new challenge for web administrators. While many training scrapers respect standard blocking rules, some bots bypass these limits by mimicking human behavior. Managing website traffic now requires a careful balance, protecting intellectual property without slamming the door on the helpful AI agents that bring value to your business.