The AI-Generated Content Conundrum: A Growing Concern for Crypto Companies

The allure of AI-generated content can be deceiving, as it promises increased efficiency and cost savings. However, when used to produce large volumes of low-quality, repetitive content, it can ultimately backfire and harm a company's search engine rankings. This approach can lead to a loss of trust among readers, as the content may appear to be generic and lacking in substance. Furthermore, if readers do not find value in the content, they are unlikely to engage with the platform, exchange, or dapp, rendering the content creation efforts futile. 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 their guidelines. This applies regardless of whether the content is created using AI tools or not. Many crypto companies are using AI to publish vast amounts of pages aimed at attracting search traffic, often in the form of comparison pages, token pages, wallet guides, or educational content that lacks real value. Under Google's guidelines, such low-quality content may be considered scaled content abuse and could result in lower rankings or even removal from search results. A more effective approach would be to use AI as a support tool within a robust editorial process, where human writers and editors can verify facts, add context, and ensure the content is informative and engaging. This approach not only mitigates the risk of search engine penalties but also leads to the creation of higher-quality content that resonates with readers and establishes trust. By leveraging AI for research, idea generation, and outlining, while leaving the writing, editing, and final judgment to human experts, crypto companies can create content that is both informative and engaging, ultimately driving more traffic and conversions to their platforms.