The Cryptocurrency Industry's AI-Generated Content Conundrum: A Search Visibility Problem

The allure of AI-generated content can be misleading, as it promises to increase output while reducing resources and boosting organic traffic. However, when this strategy involves churning out vast amounts of low-quality, repetitive content, it ultimately backfires. The reason is simple: if a company's content appears generic and lacking in substance, it fails to establish trust with readers and instead seems like a shallow attempt to manipulate search rankings. This approach not only defeats the purpose of creating content but also risks alienating potential customers. If readers do not trust a company, they are unlikely to convert or take action, and if the company's pages slip in the rankings, its platform, exchange, or dapp may become virtually undiscoverable. 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 violation of its guidelines. Many crypto companies are misusing AI to generate vast amounts of unoriginal content, which can lead to lower rankings or even removal from search results. However, when AI is used to support a genuine editorial process, where writers and editors review and refine the content, it can be a valuable tool. The key distinction lies in using AI to assist the writing process, rather than relying on it to produce fully generated articles with minimal editorial oversight. The latter approach can be detrimental, as it is essentially the same old mass-page SEO playbook with a faster machine behind it, producing weak content at a lower cost. This tactic is not only ineffective but also risks triggering Google's spam update, which is designed to detect and handle web spam at scale. Some crypto companies are already using AI to publish large volumes of low-quality pages aimed at attracting search traffic, often in the form of comparison pages, token pages, wallet guides, or educational content that provides little value to readers. Under Google's scaled content abuse guidelines, these companies should reconsider whether such pages belong in search at all and may be better off setting them to 'noindex' to avoid potential penalties. Instead of treating mass AI output as a marketing shortcut, crypto companies should adopt a smarter approach to using AI in publishing. By leveraging AI for support tasks such as research, idea generation, outlining, and early structuring, companies can save time without compromising their standards. Google explicitly endorses these uses of AI, and they provide a sensible way for crypto companies to utilize AI while maintaining a robust editorial process. This approach not only ensures safer search practices but also leads to better content, as human writers and editors can provide the nuance, expertise, and care that AI-generated content often lacks. In the crypto industry, where trust is already a delicate commodity, the difference between high-quality, human-crafted content and low-quality, AI-generated content can be significant. The companies that thrive will be those that use AI as a support tool within a proper editorial process, as this approach gives them a better chance of creating work that resonates with readers, earns their trust, and keeps them coming back.