Back when search engine optimization (SEO) was in its infancy, tactics such as keyword stuffing, hidden text, and link-farm schemes dominated the scene with algorithms that were relatively unsophisticated and manipulations known to pay off. With AI and large language models (LLMs) now in the mix, a new wave of “black hat” behavior—often driven by geo- or generative-SEO abuses—is creeping in, the “black hat GEO” phenomenon not only real but warranting attention.
As AI content soars, so too does temptation
AI tool (e.g., ChatGPT, Claude, and Gemini) adoption has reached its highest point yet. Per marketing executive Jason Tabeling, up to 21% of U.S. users use these tools 10+ times a month (with overall adoption rising from 8% in 2023 to a whopping 38% just two years later). With the pressure to publish content, capture audience eyeballs, and become more visible ever intense, the ease of AI-generated content makes related shortcuts that much more tempting. Some brands, in chasing scale, produce large volumes of AI-generated articles—using fake writer profiles and with scant human oversight in some cases, as Sports Illustrated did back in 2023 (per Tabeling). While this may do the trick for scoring lots of pageviews, it does a number on credibility and violates core quality signals search engines still value.
The new black hat GEO playbook
“GEO” here stands for generative engine optimization, with at-scale manipulation in play for AI tools, LLMs, and search-engine comprehension. More specifically, the following tactics are used more and more…
- Mass AI-generated spam: Often applying to private blog networks (PBNs) designed just to boost link authority/rankings, language models are used to create thousands of low-quality, pages, or blogs stuffed with oodles of keywords.
- Fake E-E-A-T signals: Experience, expertise, authority, and trustworthiness (E-E-A-T) are the apple of search engine eyes. Black hat GEO aims to fake these signals, though, thanks to the likes of synthetic author personas (phony headshots and credentials, anyone?), faux reviews/testimonials, and content that might look legit but is anything but.
- LLM cloaking & manipulation: This involves serving up two completely different versions of content: one to AI crawlers (embedded with hidden prompts or manipulative schema/markup) and another to actual users, trying to trick the machine into handing out a higher ranking.
- Schema abuse: Does structured data arm AI with the context it craves? You bet, which is precisely why black hat is known to fudge page topics via a little thing called schema markup (which, in this case, is misleading)—forcing it into AI-generated answers even for high-value searches having absolutely nothing to do with the topic at hand.
- SERP poisoning: When deceptive content targets competitive brands or industry terms, not only are its legit peers pushed to the bottom of search results but reputations are hurt in the process.
What’s at stake?
Anyone who engages in (or is otherwise targeted by) these tactics is put at extreme risk. For the publisher, this might involve…
- Severe search-engine penalties: Various platforms (think Google LLC) enlist the help of AI-driven and manual review systems to spot black hat behavior. Potential consequences, in turn, might involve full de-indexing (pulling the site down altogether), manual action (a sudden drop in rankings), or algorithmic downgrading (lower placements for key terms).
- Reputation & trust impacts: Brand trust goes right out the window when users lay eyes on incoherent, irrelevant, or obviously AI-generated content—fabricated expertise or credibility working against the E-E-A-T signals search engines and consumers both rely on to gauge reliability. Worst-case? When harmful redirects expose users to malware or phishing.
AI changes the game—not the rules
Although the tools and tactics have changed over time, what matters still sticks: quality, relevance, authenticity, and (of course) human-centered content all ruling the day. Google has done its part—making this clear—and brands must likewise follow suit by focusing on creating real value, coming through as genuine experts, and staying far away from manipulative shortcuts in order to rise above the noise. As for their counterparts who chase quick wins with black hat GEO? Best of luck to them as they put their visibility, revenue, and reputation on the line while doing so.