The Hidden Dangers of AI-Generated Content for Crypto Companies

The allure of AI-generated content can be tempting, promising increased productivity and reduced costs. However, this approach can backfire, leading to a plethora of low-quality, repetitive pages that fail to provide value to readers. When this happens, the strategy ultimately works against itself, causing more harm than good. The reason is simple: if the content appears generic and uninformative, it can be perceived as a cheap attempt to manipulate search results rather than a genuine effort to educate readers. This can lead to a loss of trust and credibility, making it difficult for readers to take action or convert. Furthermore, if the pages start to slip in rankings, the platform, exchange, or dapp may struggle to be discovered. Google's policy on scaled content abuse is clear: creating and publishing numerous web pages primarily to manipulate search rankings while providing little to no value to users is a serious issue. This applies regardless of how the content is created. Many crypto companies should reevaluate their use of AI, ensuring it is used to support a real editorial process rather than simply churning out low-quality content. When AI is used to assist the writing process, with a writer or editor reviewing and refining the content, it can be a valuable tool. However, when used to mass-produce content with little or no editorial review, it can lead to serious consequences. The key difference lies in using AI to aid the writing process versus using it to dump out content at scale. 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 something worth saying. The same old SEO playbook is still being used, but now with a faster machine and lower production costs. This has led to an increase in weak content being published. With Google's recent spam update, it is clear the company is still working on how it handles web spam at scale. While not every weak article is immediately affected, it shows that Google is refining its detection and handling of 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, airdrop explainers, exchange reviews, educational content, or service pages that appear to be created solely to get clicks without providing real value. Upon closer inspection, it becomes clear that these pages do little for readers and 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 move. Crypto companies treating mass AI output as a marketing shortcut are taking a significant gamble in an environment where Google continually updates its enforcement policies. There is a smarter way to use AI in publishing, starting with keeping the SEO strategy in place while using AI for support tasks where it can genuinely save time. Google explicitly states that uses such as research help, idea generation, outlining, and early structuring can be helpful. By using AI in this way, crypto companies can create better content that is safer for search and more likely to resonate with readers. The companies that come out ahead will be the ones 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.