The Hidden Dangers of AI-Generated Content for Crypto Companies

The appeal of AI-generated content is undeniable, promising to increase productivity and reduce costs. However, when used to churn out low-quality, repetitive pages, this approach can ultimately backfire, damaging a company's reputation and search rankings. The issue lies not with the tool itself, but with how it is used. Google's policy is clear: creating and publishing large volumes of web pages solely to manipulate search rankings, with little to no value for users, is considered scaled content abuse. This can lead to lower rankings or even removal from search results. Crypto companies must be honest with themselves about their use of AI. If it is used to support a genuine editorial process, with writers and editors reviewing and refining the content, then it can be a valuable tool. However, when used to publish fully generated articles with little or no editorial review, simply to rank for more queries at a lower cost, it is a recipe for disaster. The line between using AI to assist the writing process and using it to mass-produce content is clear. Some publishers use AI for research, brainstorming, or outlining, and then pass the piece to a human writer or editor who adds unique reporting, sharpens the argument, and ensures the article has something worth saying. This approach is not only safer for search but also leads to better content, as people can usually tell when something has been properly thought through and written by someone who knows what they are talking about. In the crypto industry, where trust is already hard-won, this difference is crucial. The companies that will come out ahead are those that use AI as a support tool within a proper editorial process, giving them a better chance of creating work that people want to read, cite, and return to. With Google's ongoing updates to its spam detection and handling, crypto companies relying on low-value, AI-generated content are taking a significant gamble. It is time for them to rethink their strategy and use AI in a way that supports, rather than replaces, human expertise and judgment.