Structure content for readers instead of splitting it into small chunks for AI

Google's guidance says there is no need to chop content for AI systems. Chunking matters at the level of a model's context window, and Gemini's holds a whole smaller book; said at Search Central Live, once chunk size is thought of in millions of tokens, chunking has perhaps lost its meaning anyway. Separate pages for every query variation, made to manipulate rankings or AI answers, count as scaled content abuse. Fan-out queries differ from system to system and, said at Search Central Live, are not added to Search Console; Google advises knowing that fan-out happens without overfocusing on individual fan-out queries, so do not build pages for fan-out queries copied from LLM tools.

Keep complete pages with clear headings and full explanations, model content in the CMS by topic rather than by fragment length, and do not auto-generate thin pages per question or query variation.

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