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A simple win for companies may be the promise that enables them to sell internally “It’s easy enough to generate AI-generated content; publish more crypto content, cover more keywords, spend less resources and pick up more organic traffic along the way.”
That may sound cheap on paper, and in some cases AI can absolutely assist with research, structure and early drafting. Nevertheless, when that logic becomes the pumping of large volumes of thin and repetitive pages, the whole strategy begins to work against itself; in the crypto space it can become an even bigger problem than some companies seem willing to admit.
A company may think they’re boosting their search visibility, but when the pages it publishes feel like generic fluff pieces, the content stops looking like a serious effort to inform readers and begins appearing as if it is ‘an attempt at making no sense of any kind of attempts in order to take advantage of its low-cost approach’ to fill up Google results.
That is the point of writing those pages in the first place, as no goal is being achieved; this means you’re throwing content at your website with no strategy and thinking that will lead to results.
How will readers convert or take any action if they don’t trust you? If your pages are going down in the rankings, how will your platform, exchange or dapp be found?
When AI Slop Turns Into Scaled Content Abuse
This is pretty clear Google’s policy for scaled content abuse The problem is making and publishing lots of web pages primarily to control the rankings on search engines while giving users very little to no value in return, which standards apply even when it’s designed by Google.
This is worth stressing, as many people still think that the real problem is what’s going on with that when Google really cares about how the content is produced and why it is published in the first place.
So when a site starts pumping massive quantities of low-value pages just to increase the visibility on search results, it is moving straight into the type of territory Google says can cause lower rankings or even removal from search result.
But that is, and so is where some crypto companies should probably be more honest with themselves. AI is being used to support a real editorial process (in which if the writer or editor checks the facts, adds context, sharpening the argument and makes sure that the finished piece actually helps reader) so it’s one thing.
According to Google’s own advice, generative AI is useful for research and structure; it should be part of the conversation. But when a company starts publishing full-grown articles with little or no editorial review because it wants to rank for more queries at fewer costs, the kind of scaled output Google is warning about.
There’s also a real difference, however, between using AI to help the writing process and from it to dump out content at scale. Other publishers are based on AI (for research, brainstorming or outlining) and then pass the piece to a real writer/editor who checks the facts; adds special reporting, sharpens the argument and makes sure that the article has something worth saying.
It’s the same old SEO playbook… with a faster machine
In that way, AI slop is really the same old mass-page SEO playbook (a faster machine behind it and much less expensive to produce weak content) as we know.
It’s one of the reasons that this keeps getting worse That is why . After more pages are published that start to feel cheap and easy, it is much easier to keep feeding the machine rather than stopping to ask what I should really be publishing. But now that Google has recently announced its March 2026 spam update across all languages, it is clear the company is still working on how to manage web spam at scale.
Unlike all weak articles, that does not mean every single article gets instantly hit; however, it indicates that Google is still refining how it detects and responds to spammy behavior.
Some crypto companies are already using AI to publish large volumes of pages aimed mainly at pulling in search traffic.
Some of that is a form of comparison pages, which are constructed around competitor terms and location-based keywords. Other cases include a description of it in token pages (in addition to wallet guides), airdrop explainers, exchange reviews, educational content or service pages that look like they were designed to get clicks without providing any real value.
But when you look closely at how those pages are made, and the relative to readers’ reading accuracy is much more able for understanding what it means in search risk.
Using this type of low-value material under Google’s scaled content abuse guidelines, crypto companies that use such an approach should be careful about whether those pages are in search at all times. Many of the cases where they are placed to ‘noindex’ may be safer, i.e setting them up is also more likely in many cases.
But crypto companies claiming mass AI output is taking the risk of real-life gamble in an environment where Google keeps updating enforcement in plain view, so that they are doing what it calls to be.
There’s a smarter way to use AI
This is still a smarter approach to using AI in publishing, and it begins with keeping the SEO strategy in place while applying AI for support tasks where it can truly save time. It is a sense of research help, idea generation, outlining and early structuring (especially for crypto companies that want to move faster without degrading their standards) as well as the work help or even the idea generated by an idea.
That’s an intelligent approach to using AI that gives crypto companies a smart way of early groundwork, and then leaves the reporting, writing, editing, verification and final judgment to human hands.’ Google explicitly says those uses are helpful; it is also able to use artificial intelligence (e.g.
That is a safer way to search, and it also leads to better content because people can usually tell when something has been thought through, carefully put together or written by someone who actually knows what they’re talking about. But in the crypto industry, especially where trust is already owed more care, that difference has much weight.
Crypto companies that emerge ahead will be the ones that use AI as a support tool in ‘an appropriate editorial process, because it gives them an advantage of creating work people actually want to read, cite and return to their originals.
Thanks for reading AI slop has created a search problem crypto companies can’t ignore
