The Hidden Dangers of AI-Generated Content for Crypto Companies

Producing content with AI may appear to be a straightforward solution for companies, particularly when the promise seems simple: create more content, target more keywords, use fewer resources, and increase organic traffic. However, this approach can backfire when it involves generating large volumes of low-quality, repetitive content. In the crypto space, this can lead to significant problems. When a company prioritizes search visibility over quality content, it can come across as insincere, ultimately defeating the purpose of creating the content in the first place. If readers do not trust the content, they are unlikely to engage with it or take any action. Furthermore, if the pages 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 problem, regardless of the method used. Many people mistakenly focus on the tool rather than the content production and publication process. When a site generates vast amounts of unoriginal, low-value content to boost search visibility, it risks lower rankings or removal from search results. Crypto companies should be honest with themselves about their use of AI. If AI supports a genuine editorial process, where a writer or editor verifies facts, adds context, and ensures the content helps the reader, then it can be beneficial. However, publishing fully generated articles with little or no editorial review to rank for more queries at a lower cost is problematic. There is a significant difference between using AI to assist the writing process and using it to mass-produce content. Some publishers use AI for research, brainstorming, or outlining and then pass the piece to a real writer or editor who adds unique value. The issue with AI-generated content is that it can be seen as the same old mass-page SEO playbook, but with a faster machine and lower production costs. This approach can lead to weak content and a lack of consideration for what is actually worth publishing. With Google's recent spam update, it is clear that the company is still working to refine its handling of web spam at scale. While not every weak article is immediately affected, it shows that Google is continually improving 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 lack real value for readers and can be seen as an attempt to manipulate search rankings. Under Google's scaled content abuse guidelines, crypto companies relying on this type of content should consider whether these pages belong in search at all. In many cases, setting them to 'noindex' may be the safer option. Crypto companies treating mass AI output as a marketing shortcut are taking a significant risk in an environment where Google continuously updates its enforcement policies. A smarter approach to using AI in publishing involves keeping the SEO strategy in place while using AI for support tasks where it can genuinely save time. Google explicitly states that AI can be helpful for research, idea generation, outlining, and early structuring, especially for crypto companies that want to move faster without compromising their standards. By using AI in this way, crypto companies can create better content that is safer for search and more likely to engage readers. The 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.