The Dark Side of AI-Generated Content: A Threat to Crypto Companies' Search Visibility

The allure of AI-generated content can be deceiving, as it promises to increase crypto content output, cover more keywords, and reduce resources while boosting organic traffic. However, this approach can backfire when it involves producing large volumes of low-quality, repetitive content, ultimately working against the company's interests. In the crypto space, this can become a significant issue, as it undermines the purpose of creating informative content and instead makes it appear as a cheap attempt to manipulate search results. If readers lose trust in the content, they are unlikely to convert or take any action, and if the pages slip down in rankings, the platform, exchange, or dapp may not be discovered. 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 unacceptable, regardless of the method used. Many crypto companies should reassess their use of AI, as it can be a valuable tool when used to support a genuine editorial process, where writers or editors verify facts, add context, and ensure the content is helpful to readers. However, when AI is used to publish fully generated articles with minimal editorial review, it crosses into the territory of scaled output that Google warns against. There is a distinction between using AI to assist the writing process and using it to mass-produce content. Some publishers utilize AI for research, brainstorming, or outlining, and then have a human writer or editor review and refine the piece. The problem arises when AI is used to dump out content at scale, following the same old mass-page SEO playbook, but with a faster machine and lower production costs. This approach can lead to a decline in content quality and an increase in spammy behavior. With Google's recent spam update, it is clear that the company is refining its approach to detecting and handling web spam. Crypto companies relying on AI to publish large volumes of low-value pages aimed at attracting search traffic should reconsider their strategy, as it may lead to search risks and penalties. Under Google's guidelines, such pages may not belong in search results, and setting them to 'noindex' might be a safer approach. Instead, crypto companies can use AI intelligently by employing it for support tasks, such as research help, idea generation, outlining, and early structuring, while leaving the reporting, writing, editing, verification, and final judgment to human hands. This approach is safer for search and leads to better content, as human involvement ensures that the content is well-thought-out, carefully crafted, and written by someone with expertise. In the crypto industry, where trust must be earned, this difference is crucial. The companies that thrive will be those that use AI as a support tool within a proper editorial process, increasing their chances of creating high-quality content that people want to read, cite, and return to.