Google: Don’t make “bite-sized” content for LLMs if you care about search rank
Ars Technica••technology
Key Points:
- Google representatives John Mueller and Danny Sullivan have criticized the SEO practice of "content chunking," which involves breaking content into small sections to appeal to large language models (LLMs) like Gemini, calling it a misconception and ineffective for improving search rankings.
- Content chunking often results in short paragraphs and question-form subheadings designed to be easily ingested by AI, but Google does not use these signals to rank content higher.
- Sullivan emphasizes that the best SEO strategy remains creating content primarily for human readers, as user behavior and engagement are key ranking signals for Google.
- While content chunking may show short-term benefits due to current algorithm quirks, Google warns that future system improvements will favor content crafted for humans rather than for AI
