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Writing content to match AI “chunk boundaries” optimizes a target you cannot see. Peec’s reranker guide (full guide, Aug 2026) separates the myth from the insight: The myth (Aug 2026):
  • You cannot control the chunks. OpenAI File Search cuts at 800 tokens with 400 overlap; other systems cut at 256 or 512 tokens, sentence boundaries, or character counts; web pipelines use whatever the snippet extractor produced.
  • Chunk boundaries are rarely fatal — 50% overlap means a good answer sentence cut in one window survives intact in the next.
  • Rewriting every paragraph as a self-contained answer machine produces robotic text humans stop reading — and humans still assign the links and mentions that get you retrieved at all.
What actually helps:
  • Local self-containedness: any few-hundred-word window of the page should make sense alone — name things explicitly instead of “it/this tool”, keep the answer near its subject.
  • One direct-answer sentence per target question — the highest-leverage edit measured; see Answer shape for AI citations.
Where chunk-conscious structure pays off: long guides, docs, and pages targeting many distinct queries. Where it wastes effort: short pages (one chunk anyway), branded queries, unique original data, and conversion pages whose job is persuading humans, not being cited. Source: Rerankers for GEO/AEO: How AI search chooses passages and sources, Peec (Metehan Yesilyurt), Aug 2026.