The Return of Black Hat SEO?

For a long time, many people believed black hat SEO had mostly faded away. Search engines grew smarter, penalties grew harsher, and most shortcuts stopped offering real value.

However, recent findings show that unethical tactics are actually returning, although not in the form most business owners and SEOs remember. AI has become the new target, and this shift affects how customers may discover information about your business.

A Brief Look at the Old Tactics

Black hat SEO began as a collection of tricks intended to fool search engines. These included stuffing pages with unnatural keywords, hiding text from human users, presenting different content to crawlers, and building networks of low-quality links.

At that time, early search engines did not have strong methods to detect manipulation, which made these approaches surprisingly effective.

But as Google and other platforms refined their systems, these tricks lost power. Penalties increased, and many businesses learned the hard way that shortcuts often created more damage than benefit.

Over time, most companies started relying on steady, honest content strategies that focused on clarity, usefulness, and customer experience.

A New Version of an Old Problem

Lately, there has been a renewal of interest in black hat SEO, thanks to research showing that harmful actors are now targeting AI systems rather than search engines.

According to reporting from Search Engine Journal, it is possible for someone to insert malicious or misleading information into the public web in a way that influences the data large language models (such as ChatGPT, Google Gemini, Claude, and Perplexity) learn from. Even a few hundred pieces of misleading content may be enough to introduce a hidden trigger. When someone uses that trigger phrase in a prompt, the AI may respond with biased or false information.

This method does not rely on stuffing keywords into a page or creating deceptive backlinks. Instead, it works by quietly seeding content that seems unrelated at first glance. Once an AI model absorbs that information, the false content can remain active for a long period of time. Since AI tools are becoming a common gateway for research and decision-making, this creates a threat to any business that relies on trust and reputation.

Why This Matters to SMB Owners

Many customers now start their search process by asking questions to AI-powered tools. If those tools have been fed misleading information about your brand, they may repeat incorrect statements with confidence. A user might be told that your business has poor service, legal problems, product failures, or other invented issues. The user may then act on that information without verifying it anywhere else.

Once misleading material enters an AI training set, correcting it is extremely difficult. That is why SMBs need to be aware of this trend even if their current marketing is clean, well-structured, and ethical. Your business could be targeted without your knowledge, especially if someone stands to benefit from reputational damage.

How These Tactics Work

To understand the threat clearly, here is a simplified breakdown of what unethical actors may attempt:

• They create false or harmful material related to a company, product, or person. This can include fabricated reviews, fictional news stories, manipulated forum postings, or seemingly harmless pages that contain hidden triggers.
• They distribute these materials across multiple websites, sometimes through compromised accounts or low-value domains.
• Once the content is scraped into AI training data, it can influence how an AI tool processes future questions about the targeted business.
• A specific phrase may activate a hidden response pattern, causing the AI to deliver misleading information that benefits the attacker.
• The attacker updates the bad information often to keep it relevant to AI tools (as we reported a few weeks ago, AI LLM tools heavily favor newer content to older content).

This is not traditional SEO spam. It is a form of information poisoning designed to influence AI outcomes. That is a far more subtle strategy, and therefore harder to detect.

And with the “black box” nature of these tools, it’s difficult to know what countermeasures the developers at OpenAI, Google, or Anthropic (ChatGPT, Gemini, and Perplexity, respectively) are taking against these tactics… if any. One can reasonably assume that the developers are at least aware of the issue: see all the work Google did to combat black hat SEO in its original form on its search engine. But this took years of effort and updates to get it to where it is today.

How SMBs Can Protect Themselves

Protection starts with awareness. Even small steps can reduce risk significantly.

Track how AI tools describe your business. Run periodic checks using neutral prompts about your company name, services, or location. Look for unusual claims or statements that do not match your real reputation.

Monitor referral data from AI sources. Some analytics platforms now allow segmentation of AI-originated traffic. A sudden change in traffic patterns may indicate that AI tools are not directing users to your website as often.

Set up brand-mention alerts. Monitor social media, forums, and review platforms for suspicious content. If you notice fabricated claims or oddly synchronized negative posts, document them and pursue removal requests when possible.

Maintain strong, transparent content on your own site. Quality content builds an authoritative presence that helps counter misinformation. Clear explanations, real customer stories, and straightforward communication strengthen your footprint on the web.

Encourage authentic reviews and testimonials. Verified feedback on established platforms creates trust signals that are difficult for attackers to mimic.

Review your backlink profile. Look for sudden spikes in unknown domains or suspicious referral sources. Remove or disavow harmful links whenever possible.

What Businesses Should Avoid

You may feel tempted to counter AI poisoning by attempting similar tactics in the opposite direction. However, this path is risky. Attempts to manipulate AI could be discovered later, and the damage to credibility would be severe.

Not to mention what happened to all those domains that used black hat SEO in the past to get their sites ranked. It worked, for a time, until it didn’t – and then Google slapped SERP penalties that most never recovered from.

Ethical marketing builds long-term stability, while shortcuts often lead to unpredictable consequences.

Closing Thoughts

Black hat SEO hasn’t disappeared. It has simply adapted to new technology. Today, the target is the information that AI tools present to users.

For SMBs, the best defense is consistent vigilance, creating trustworthy content, and closely monitoring how your brand appears online. The businesses that stay proactive will be better prepared for the challenges ahead.

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