SEO practices can be misleading, with many online strategies resembling superstition rather than solid advice. A recent discussion on Google’s Search Off the Record podcast highlighted a trend called “content chunking,” where creators break down information into small, easily digestible sections to appeal to large language models (LLMs) like Gemini. John Mueller and Danny Sullivan from Google pushed back against this approach, arguing that it doesn't actually help with search rankings. Sullivan explained that the notion of creating bite-sized content for LLMs is misguided. He stated, “We don’t want you to do that.” The belief that shorter paragraphs and question-like subheadings would enhance a site's visibility to AI tools is flawed. Instead, Google’s ranking system favors content designed for human readers. When people click on links, their behavior signals to Google what content is valuable. Focusing on human engagement remains the best strategy for long-term search performance. This conversation emphasizes the importance of creating meaningful content instead of chasing fleeting SEO trends. Relying on superficial tactics like content chunking might lead to a temporary boost in visibility but won't sustain a site’s ranking in the long run.