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

The allure of AI-generated content can be tempting, as it promises to increase output while reducing resources, but this approach can backfire if not implemented thoughtfully. When AI-generated content is used to churn out large volumes of low-quality, repetitive pages, it can ultimately harm a company's search visibility and credibility. This is because such content often fails to provide value to readers, instead coming across as a shallow attempt to occupy search results. As a result, readers may lose trust in the company, and the pages may slip down in search rankings, making it harder for the platform, exchange, or dapp to be discovered. Google's policy on scaled content abuse is clear: creating and publishing numerous web pages primarily to manipulate search rankings, while offering little to no value to users, is a problem, regardless of the method used to generate the content. Many crypto 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, wallet guides, or educational content that provides little real value. Under Google's scaled content abuse guidelines, these companies should reconsider whether such pages belong in search results. A more effective approach is to use AI as a support tool within a proper editorial process, where human writers and editors can ensure that the content is well-researched, informative, and engaging. By leveraging AI for tasks such as research, idea generation, and outlining, crypto companies can create high-quality content that resonates with readers and establishes trust, ultimately leading to better search visibility and a stronger online presence.