AI-generated content may 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 generate 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 drafting. But once that logic translates into producing large volumes of thin, repetitive pages, the whole strategy starts to work against itself, and in the crypto space, this can become a bigger problem than some companies seem willing to admit.
The reason is quite simple: a business may think it’s improving its search visibility, but if the pages it publishes look like generic articles, 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 original purpose of creating these pages, since no purpose is achieved; it’s like you’re just throwing content on your website, without strategy or thought that will get you results.
If readers don’t trust you, how will they convert or take action? And if your pages start to drop in the rankings, how will your platform, exchange or dapp be discovered?
When AI Slop turns into large-scale content abuse
Google’s policy on large-scale content abuse is pretty clear: the problem is creating and publishing numerous web pages primarily to manipulate search rankings while giving users very little or no value in return, and this standard applies regardless of how it is created.
This is worth pointing out because many people still talk as if the real problem is the tool, when Google is actually focused on how content is produced and why it’s published in the first place.
So when a site starts publishing huge volumes of unoriginal, low-value pages simply to gain more search visibility, it’s heading straight into the type of territory that Google says can lead to lower rankings or even removal from search results.
And this is 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 facts, adds context, refines the argument, and ensures that the final article actually helps the reader, then that’s one thing.
Google’s own guidance indicates that generative AI can be useful for search and structure, and it 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 more queries more cheaply, it gets a lot closer to the type of large-scale output that Google warns against.
There is also a real difference between using AI to assist the writing process and using it to deliver content at scale. Some editors use AI for research, brainstorming, or writing, then pass the article to a real writer or editor who fact-checks, adds unique reporting, refines the argument, and makes sure the article actually has something worth saying.
It’s the same old SEO playbook…with a faster machine
From this perspective, slop AI is really just the same old mass page SEO playbook, with a faster machine behind it and a much lower cost to produce weak content.
This is one of the reasons why the situation continues to get worse. Once publishing more pages starts to seem cheap and easy, it becomes much easier to keep feeding the machine instead of stopping to wonder what’s actually worth publishing. And with the recent rollout of Google’s March 2026 anti-spam update in all languages, it’s clear that the company is still working on how it handles web spam on a large scale.
This doesn’t mean that every weak article is instantly viewed, but it does show that Google continues to refine how it detects and handles spammy behavior.
Some crypto companies are already using AI to publish large volumes of pages aimed primarily at attracting search traffic.
Sometimes this takes the form of comparison pages built around competing terms and location-based keywords. In other cases, it appears in token pages, wallet guides, airdrop explainers, exchange reviews, educational content, or service pages that appear to be created to get clicks without providing any real value.
When you take a close look at how these pages are created and how little they do for readers, it becomes much easier to understand the search risk involved.
In accordance with Google’s content abuse guidelines, crypto companies that rely on this type of low-value material should think carefully about whether or not these pages belong in search. In many cases, setting them to “noindex” may be the safest solution.
So crypto companies treating mass production of AI as a marketing shortcut are taking a real gamble in an environment where Google continues to update law enforcement for all to see.
There is a smarter way to use AI
There’s one more smart way to use AI in publishing, and it starts with keeping the SEO strategy in place while using AI for support tasks where it can actually save time. Research support, idea generation, description, and early structuring all make sense, especially for crypto companies that want to move faster without lowering their standards.
Google explicitly says these uses can be useful, giving crypto companies a sensible way to use AI, so let it speed up the early groundwork, then leave the reporting, writing, editing, verification, and final judgment in human hands.
This approach is safer for search and also leads to better content, because people can generally tell when something has been properly thought through, carefully put together, and written by someone who actually knows what they’re talking about. In the crypto industry, especially, where trust already has to be earned more carefully, this difference carries a lot of weight.
The crypto companies that come out on top will be those that use AI as a supporting tool as part of a proper editorial process, as this will give them a better chance of creating work that people will actually want to read, cite, and come back to.
