The Hidden Dangers of AI-Generated Content for Crypto Companies

The allure of AI-generated content can be tempting, as it promises to increase output while reducing 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 in the competitive crypto space. The primary concern is that such content can be perceived as a shallow attempt to manipulate search rankings, rather than a genuine effort to inform and engage readers. As a result, trust is lost, and the desired outcomes – such as conversions and user engagement – are not achieved. Furthermore, if these pages start to slip in the rankings, the company's platform, exchange, or dapp may struggle to be discovered. Google's policy on scaled content abuse is clear: creating and publishing numerous web pages solely to manipulate search rankings, while offering little to no value to users, is a serious issue. Many crypto companies would do well to reassess their use of AI-generated content, recognizing that the problem lies not with the tool itself, but with how it is used and why. When AI is utilized to support a genuine editorial process, where writers and editors review and refine the content, it can be a valuable asset. However, relying on fully generated articles with minimal editorial oversight can lead to lower rankings or even removal from search results. There is a distinct difference between using AI to facilitate the writing process and using it to mass-produce content. Some publishers leverage AI for research, brainstorming, or outlining, then pass the piece to a human writer or editor who adds unique insights, sharpens the argument, and ensures the article provides valuable information. The same old SEO playbook is still in use, but now with the aid of faster machines and lower production costs. This has led to an increase in weak content, as the ease of publication can make it simpler to continue producing low-quality pages rather than stopping to consider what is truly worth publishing. With Google's ongoing efforts to refine its spam detection and handling, crypto companies that rely on low-value content risk being penalized. Some companies are already using AI to publish large volumes of pages aimed at attracting search traffic, often in the form of comparison pages, token pages, or educational content that provides little value to readers. Upon closer inspection, it becomes apparent that these pages pose a significant search risk. Under Google's scaled content abuse guidelines, crypto companies relying on such material should carefully consider whether these pages belong in search results at all. In many cases, setting them to 'noindex' may be the safer approach. There is a smarter way to utilize AI in publishing, one that involves using it for support tasks such as research help, idea generation, outlining, and early structuring. Google explicitly states that these uses can be beneficial, allowing crypto companies to leverage AI while maintaining their standards. By using AI to speed up the groundwork and leaving the reporting, writing, editing, verification, and final judgment to human hands, companies can create better content that resonates with readers. This approach is not only safer for search but also leads to more trustworthy and engaging content, which is essential in the crypto industry where trust must be earned. The crypto companies that thrive 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.