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Don't Want Google to Use Your Website for AI Training? You Can Now Opt Out

The company creates a new tool for website publishers that'll tell Google's web crawlers to avoid using their content for AI training.

 & Michael Kan Principal Reporter

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Today’s tech companies may have already scraped your web content to train their chatbots. But even so, Google has a new tool to help publishers opt out of the company’s own AI training. 

"Today we’re announcing Google-Extended, a new control that web publishers can use to manage whether their sites help improve Bard and Vertex AI generative APIs," Google says.

The control operates as a token that can be placed in a website’s robot.txt file, which tells web crawlers which information to ignore on a domain. Website publishers can already add a token to block OpenAI’s web crawler from taking their content. But the issue is more complicated with Google since the company runs the number one search engine in the world. 

The benefit to Google’s new control is that website publishers can continue to be indexed via Google's web crawlers so their search ranking won't tank—but they won't have to worry about their content being used for AI training (in theory).

Opting out, however, could water down Google’s AI training efforts. But the company was likely forced to implement it amid growing concerns and lawsuits about tech companies training their AI systems on user-generated content without permission. In July, Google began holding a “public discussion” with website publishers on developing new standards around using public data for AI training purposes.  

It isn’t hard to imagine many website publishers instituting the new Google control to avoid freely giving up their content to the search giant. Nevertheless, Google is hopeful that the rise of AI will benefit the entire web ecosystem. “By using Google-Extended to control access to content on a site, a website administrator can choose whether to help these AI models become more accurate and capable over time,” VP for Trust Danielle Romain wrote in a blog post

Google adds that it’s also exploring “additional machine-readable approaches to choice and control for web publishers” to address the growing reach of AI applications.

About Our Expert

Michael Kan

Michael Kan

Principal Reporter

My Experience

I've been a journalist for over 15 years. I got my start as a schools and cities reporter in Kansas City and joined PCMag in 2017, where I cover satellite internet services, cybersecurity, PC hardware, and more. I'm currently based in San Francisco, but previously spent over five years in China, covering the country's technology sector.

Since 2020, I've covered the launch and explosive growth of SpaceX's Starlink satellite internet service, writing 600+ stories on availability and feature launches, but also the regulatory battles over the expansion of satellite constellations, fights with rival providers like AST SpaceMobile and Amazon, and the effort to expand into satellite-based mobile service. I've combed through FCC filings for the latest news and driven to remote corners of California to test Starlink's cellular service.

I also cover cyber threats, from ransomware gangs to the emergence of AI-based malware. In 2024 and 2025, the FTC forced Avast to pay consumers $16.5 million for secretly harvesting and selling their personal information to third-party clients, as revealed in my joint investigation with Motherboard.

I also cover the PC graphics card market. Pandemic-era shortages led me to camp out in front of a Best Buy to get an RTX 3000. I'm now following how the AI-driven memory shortage is impacting the entire consumer electronics market. I'm always eager to learn more, so please jump in the comments with feedback and send me tips.

The Best Tech I've Had:

  • My first video game console: a Nintendo Famicom
  • I loved my Sega Saturn despite PlayStation's popularity.
  • The iPod Video I received as a gift in college
  • Xbox 360 FTW
  • The Galaxy Nexus was the first smartphone I was proud to own.
  • The PC desktop I built in 2013, which still works to this day.

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