AI-generated content can seem like an easy win for businesses, especially when the promise is simple enough to sell internally: publish more crypto content, cover more keywords, spend fewer resources, and capture more organic traffic along the way.
On paper, this may seem cost-effective, and in some cases, AI can absolutely help with research, structure, and initial writing. But once that logic turns into generating large volumes of thin, repetitive pages, the entire strategy starts working against itself, and in the crypto space, that can become a bigger problem than some companies seem willing to admit.
The reason is pretty simple: a business might think it’s improving its search visibility, but if the pages it publishes look like generic nonsense, the content stops looking like a serious effort to inform readers and starts looking like a cheap attempt to occupy search results.
This ends up defeating the purpose of creating those pages in the first place, as no goal is achieved; It’s like you’re just throwing content at your website, with no strategy, and thinking that’s going to get you results.
If readers don’t trust you, how will they convert or take action? And if your pages start to drop in rankings, how will your platform, exchange or dapp be discovered?
When AI decline turns into large-scale content abuse
Google’s policy on content abuse at scale is pretty clear: the problem is creating and publishing many web pages primarily to manipulate search rankings while offering users little or no value in return, and that standard applies regardless of how you create it.
This is worth emphasizing, because many people still talk as if the real problem is the tool, when Google is actually focusing on how the content is produced and why it is published in the first place.
So when a site starts publishing huge volumes of unoriginal, low-value pages just to gain more search visibility, it’s moving straight into the kind of territory that Google says can lead to lower rankings or even removal from search results.
And that’s where some crypto companies should probably be more honest with themselves. If AI is used to support a real editorial process, in which a writer or editor checks the facts, adds context, sharpens the argument, and makes sure the finished article actually helps the reader, then that’s one thing.
Google’s own guidance says that generative AI can be useful for research and structure, and that deserves to be part of the conversation. But when a company starts publishing fully generated articles with little or no editorial review because it wants to rank for more queries at a lower cost, it’s getting very close to the kind of scaled production that Google warns about.
There is also a real difference between using AI to assist in the writing process and using it to download content at scale. Some editors use AI to do research, brainstorm, or outline, and then pass the article to a real writer or editor who checks the facts, adds unique reporting, sharpens the argument, and makes sure the article actually has something worth saying.
It’s the same old SEO playbook… with a faster machine
From that perspective, the fall of AI is really the same old SEO playbook for massive pages, with a faster machine behind it and a much lower cost to produce weak content.
That’s one of the reasons this keeps getting worse. Once publishing more pages starts to seem cheap and easy, it becomes much easier to keep feeding the machine rather than stopping to ask what is really worth publishing. And with Google’s March 2026 spam update recently rolling out to all languages, it’s clear that the company is still working on how to handle web spam at scale.
That doesn’t mean that all weak articles are instantly attacked, but it does show that Google is still refining how it detects and handles spammy behavior.
Some crypto companies are already using AI to serve large volumes of pages primarily intended to attract search traffic.
Sometimes this takes the form of comparison pages built around competitor terms and location-based keywords. In other cases, it appears on token pages, wallet guides, airdrop explanations, exchange reviews, educational content, or service pages that appear to have been created to gain clicks without providing any real value.
When you look closely at how these pages are created and how little they actually do for readers, it becomes much easier to understand the search risk involved.
Under Google’s escalated content abuse guidelines, crypto companies that rely on this type of low-value material should think carefully about whether those pages belong in search. In many cases, setting them to “noindex” may be the safest measure.
Crypto companies that treat mass production of AI as a marketing shortcut are therefore taking a real risk in an environment where Google continues to update law enforcement in plain sight.
There is a smarter way to use AI
There is still a smart way to use AI in publishing, and it starts with maintaining your SEO strategy while using AI for support tasks where you can actually save time. Helping with research, idea generation, description, and early structuring make sense, especially for crypto companies that want to move faster without lowering their standards.
Google explicitly says those uses can be useful, and that gives crypto companies a sensible way to use AI, so let it speed up the legwork and then leave the reporting, writing, editing, verification, and final judgment in human hands.
That approach is safer for search and also leads to better content, because people can usually tell when something has been well thought out, carefully crafted, and written by someone who really knows what they’re talking about. Especially in the crypto industry, where trust already has to be earned more carefully, that difference carries a lot of weight.
The cryptocurrency companies that win will be the ones that use AI as a supporting tool within a proper editorial process, because that gives them a better chance of creating work that people actually want to read, cite, and come back to.
