AI-generated filler has triggered a search visibility crisis that cryptocurrency firms can no longer overlook.

Rechler warns that if these organizations fail to implement stronger content strategies and over-rely on AI tools, their platforms, exchanges, or decentralized applications will struggle to appear in search results.

AI-produced content might appear to be a quick solution for businesses, particularly when the pitch is straightforward: create more crypto material, target additional keywords, reduce resource expenditure, and capture more organic traffic as a bonus.

While this may look cost-effective on paper, and AI can certainly assist with research, structuring, and initial drafts, the strategy backfires when it devolves into mass-producing thin, repetitive pages. In the crypto sector, this issue is often more severe than many companies are willing to acknowledge.

The explanation is simple: A company might believe it is boosting search visibility, but if the published pages feel like generic filler, the content ceases to look like a serious attempt to inform readers and instead appears as a cheap effort to dominate search results.

This ultimately undermines the purpose of creating those pages in the first place, as no real goal is achieved. It is akin to throwing content at a website without strategy and expecting results.

If readers do not trust you, how will they convert or take action? And if your pages drop in rankings, how will your platform, exchange, or dapp be found?

When AI Filler Becomes Scaled Content Abuse

Google’s policy on scaled content abuse is clear: The issue lies in creating and publishing numerous web pages primarily to manipulate search rankings while providing users with little to no value. This standard applies regardless of the creation method.

This point is crucial because many still argue the problem is the tool itself, whereas Google focuses on how content is produced and why it is published.

Therefore, when a site begins mass-producing unoriginal, low-value pages solely to gain search visibility, it enters the territory Google warns can lead to lower rankings or even removal from search results.

This is where some crypto companies need to be more honest with themselves. If AI supports a genuine editorial process where a writer or editor verifies facts, adds context, refines arguments, and ensures the piece helps the reader, that is acceptable.

Google’s own guidance notes that generative AI can aid research and structuring, which deserves recognition. However, when a company publishes fully generated articles with minimal editorial review to rank for more queries at a lower cost, it approaches the scaled output Google warns against.

There is a distinct difference between using AI to assist writing and using it to dump content at scale. Some publishers use AI for research, brainstorming, or outlining, then pass the piece to a human writer or editor who verifies facts, adds unique reporting, refines arguments, and ensures the article has something valuable to say.

It is the same old SEO playbook… with a faster machine

From this perspective, AI filler is simply the traditional mass-page SEO strategy, powered by a faster machine and a much lower cost to produce weak content.

This is one reason the problem keeps worsening. Once publishing more pages feels cheap and easy, it becomes easier to keep feeding the machine rather than questioning what is worth publishing. With Google’s March 2026 spam update rolling out across all languages, it is clear the company is still refining how it handles web spam at scale.

This does not mean every weak article is hit instantly, but it shows Google is continuously improving its detection and handling of spammy behavior.

Some crypto companies are already using AI to publish large volumes of pages aimed mainly at driving search traffic.

Sometimes this takes the form of comparison pages built around competitor terms and location-based keywords. Other times, it appears in token pages, wallet guides, airdrop explainers, exchange reviews, educational content, or service pages created to get clicks without providing real value.

When you examine how those pages are made and how little they do for readers, the search risk becomes much clearer.

Under Google’s scaled content abuse guidelines, crypto companies relying on this low-value material should consider whether those pages belong in search at all. In many cases, setting them to “noindex” may be the safer move.

Thus, crypto companies treating mass AI output as a marketing shortcut are taking a real gamble in an environment where Google keeps updating enforcement in plain view.

There is a smarter way to use AI

There is still a 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 genuinely save time. Research help, idea generation, outlining, and early structuring all make sense, especially for crypto companies that want to move faster without lowering standards.

Google explicitly states those uses can be helpful, giving crypto companies a sensible way to use AI: let it speed up the early groundwork, then leave the reporting, writing, editing, verification, and final judgment to human hands.

That approach is safer for search and leads to better content, because people can usually tell when something has been properly thought through, carefully assembled, and written by someone who actually knows what they are talking about. In the crypto industry, where trust must be earned carefully, that difference carries significant weight.

The crypto companies that come out ahead will be the ones that use AI as a support tool within a proper editorial process, because that gives them a better chance of creating work people actually want to read, cite, and return to.

Note: The views expressed in this column are those of the author and do not necessarily reflect those of Decryptnews, Inc. or its owners and affiliates.