The Hidden Dangers of AI-Generated Content for Crypto Companies

The appeal of AI-generated content is undeniable, particularly when it promises to increase crypto content, cover more keywords, and reduce resources while driving organic traffic. However, this approach can backfire when it leads to the creation of large volumes of thin and repetitive pages, ultimately working against the company's goals. In the crypto space, this can become a significant problem, as it can make the content appear like generic, low-effort pieces rather than a genuine attempt to inform readers. As a result, the pages may stop ranking well in search results, and the company's platform, exchange, or dapp may struggle to be discovered. If readers do not trust the content, they are unlikely to convert or take any action. Google's policy on scaled content abuse is clear: creating and publishing numerous low-value pages to manipulate search rankings is not acceptable, regardless of the method used. When a site produces huge volumes of unoriginal content solely to boost search visibility, it risks being penalized or even removed from search results. Crypto companies should be honest with themselves about their use of AI. If AI is used to support a genuine editorial process, where a writer or editor reviews the content, adds context, and ensures the piece is helpful, then it can be a valuable tool. However, when AI is used to publish fully generated articles with little or no editorial review, it can lead to lower rankings or removal from search results. There is a significant difference between using AI to assist the writing process and using it to mass-produce low-quality content. Some publishers use AI for research, brainstorming, or outlining and then pass the piece to a human writer or editor who adds unique reporting, sharpens the argument, and ensures the article has value. The same old SEO playbook is still being used, but now with a faster machine and lower production costs. This approach can lead to weak content being produced quickly and easily, making it simpler to continue feeding the machine rather than stopping to consider what is actually worth publishing. With Google's recent spam update, it is clear that the company is still refining its approach to handling web spam at scale. While not every weak article is immediately penalized, Google is still working to detect and handle spammy behavior. Some crypto companies are already using AI to publish large volumes of pages aimed at attracting search traffic. These pages often take the form of comparison pages, token pages, wallet guides, or educational content that provides little value to readers. When examined closely, it becomes clear that these pages pose a significant search risk. Under Google's scaled content abuse guidelines, crypto companies relying on this type of low-value material should consider whether these pages belong in search results at all. In many cases, setting them to 'noindex' may be the safer approach. Crypto companies that treat mass AI output as a marketing shortcut are taking a significant gamble, especially given Google's ongoing updates to its enforcement policies. There is a smarter way to use AI in publishing, which involves keeping the SEO strategy in place while using AI for support tasks where it can genuinely save time. Research help, idea generation, outlining, and early structuring are all sensible uses of AI, particularly for crypto companies that want to move quickly without compromising their standards. Google explicitly states that these uses can be helpful, providing crypto companies with a sensible way to use AI. By using AI to speed up the early groundwork and then leaving the reporting, writing, editing, verification, and final judgment to human hands, crypto companies can create better content that is safer for search and more likely to earn trust with readers. The crypto companies that succeed will be those that use AI as a support tool within a proper editorial process, giving them a better chance of creating work that people want to read, cite, and return to.