The AI Content Conundrum: A Search Problem Crypto Companies Cannot Afford to Ignore

The allure of AI-generated content is understandable, given its promise of increased efficiency and reduced costs. However, when this approach is taken to extremes, resulting in a deluge of low-quality, repetitive pages, it can ultimately backfire and harm a company's search rankings. The primary concern is that such content may be perceived as generic and lacking in substance, thereby undermining the trust of potential readers. If readers do not trust a company, they are unlikely to engage with its platform, exchange, or dapp, which can have severe consequences for the company's online presence. 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 considered a violation. Many crypto companies are at risk of falling into this trap by using AI to generate large volumes of unoriginal, low-value content in an attempt to boost their search visibility. A more effective approach is to use AI as a support tool within a robust editorial process, where human writers and editors can ensure the quality and accuracy of the content. By doing so, crypto companies can create content that is both informative and engaging, thereby establishing trust with their audience and improving their online credibility. The recent Google spam update highlights the company's ongoing efforts to combat web spam, making it essential for crypto companies to reassess their content strategies and adopt a more responsible approach to AI-generated content. By leveraging AI for research, idea generation, and outlining, while leaving the writing, editing, and verification to human experts, crypto companies can create high-quality content that resonates with their audience and supports their online growth.