The "llms.txt" standard, recently popularized and designed for Generative Engine Optimization (GEO), has sparked debate following an experiment demonstrating how a simple text file—akin to a ketchup/mayonnaise file—can be misinterpreted by AI models. An analysis shared by Search Engine Journal revealed that even a "cats.txt" file containing entirely irrelevant and mundane text about felines successfully passed every claim used to market the llms.txt standard. This suggests that certain popular tactics used in AI optimization may be speculative assumptions rather than backed by concrete evidence.
Key Realities Uncovered by the Experiment
Generative Engine Optimization (GEO), which has emerged as a sub-discipline in the digital marketing world, aims to increase the visibility of websites through AI summarization tools. However, the arguments used to market newly proposed standards like llms.txt have evolved into blind faith rather than technical infrastructure.
In the experiment, the fact that an entirely irrelevant "cat file" could be validated using the exact same arguments—solely because it featured a plain text format from which AI models could scrape data—brings the reliability of the evidence presented by marketers into question. This draws attention to the dangers of tactics based on popular trends rather than concrete data, a phenomenon dubbed "GEO astrology" within the industry.
Strategic Takeaways for Digital Marketers
As AI search engines rapidly replace traditional search engines, businesses and marketers must approach every new "silver bullet" trend with skepticism. Rather than investing in unverified file formats or magic code blocks, focusing on content quality and clear, structured data that AI can easily interpret is a much safer strategy.
Frequently Asked Questions
Is the llms.txt standard completely useless, or is it just being marketed incorrectly?
While the standard itself has the potential to provide site guidance to AI bots, the claim that it is a "magic solution guaranteeing visibility in AI"—as it is currently marketed—is far from concrete evidence. It is bolstered by exaggerated arguments, much like how even a text file about cats could be validated using the exact same rationale.
How can businesses avoid fraud or misdirection when making GEO investments?
Companies should remain cautious against "guaranteed AI optimization" promises made by agencies or tool vendors, allocating budgets toward transparent, measurable, and direct user-centric content architectures instead of speculative txt files.
*This news report is based on data published by Search Engine Journal.
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