Content chunking for LLMs: writing in pieces a model can actually retrieve

Fibvo editorial · 5 April 2023 · 5 min read

Many AI systems using retrieval-augmented generation process web content by breaking it into smaller chunks — often paragraph or section-sized pieces — retrieving the most relevant chunks for a given query rather than processing an entire page as one indivisible unit. Understanding this mechanism directly informs how content should be structured.

Why chunk-level clarity matters

If a specific chunk (a paragraph or section) only makes sense with context from several paragraphs earlier, and that earlier context is not retrieved alongside it, the isolated chunk can be misunderstood or lose its meaning entirely when processed independently by the retrieval system.

• Chunks retrieved in isolation lose any context that was not included within that same chunk.
• Heavy reliance on pronouns or references to 'it' or 'this' from several paragraphs earlier can break down when chunks are processed independently.
• Self-contained, clearly-scoped sections retain their meaning regardless of what else is or is not retrieved alongside them.

Practical writing habits that support good chunking

• Restate the specific subject clearly within each section, rather than relying purely on pronouns referring back to an earlier paragraph.
• Keep each section genuinely self-contained around one clear, specific idea or sub-question.
• Use clear, descriptive headings that establish context for the paragraph immediately following them.

Write every section as if a reader might genuinely encounter only that section, with no other context — because for an AI retrieval system, that is often exactly what happens.

The connection to passage ranking and featured snippets

This same self-containment principle directly supports passage ranking and featured snippet extraction — content structured for good LLM chunking tends to be structured well for these traditional search features too, reinforcing the substantial overlap between SEO and GEO best practice.

A practical self-test

Read a specific section's heading and the text immediately beneath it in isolation, imagining the rest of the page does not exist — if it still makes complete, accurate sense on its own, it is well-chunked; if it depends heavily on context from elsewhere, it likely needs restructuring.

Frequently asked questions

If you want help restructuring your content for better AI retrieval and chunking, talk to our team.

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Written by Fibvo — Bengaluru and Erode, India — working with clients in other time zones. Questions, or think we have it wrong? Tell us.