How to chunk your docs so AI agents actually use them
AI agents don’t read your documentation the way a human does. They pull isolated passages and reason from those fragments alone. If a passage doesn’t make sense without the surrounding page, the agent either gets it wrong or skips it entirely.
That’s the core problem chunking solves. And if you publish docs, guides, or any long-form content that AI tools might reference, this is worth understanding.
The token limit you’re probably ignoring
Every retrieval system has a chunk size limit. Google’s Agent Search defaults to 500 tokens per chunk. Content that runs longer than that gets cut at an arbitrary point, which means the second half of your explanation may never reach the agent at all.
Keeping individual sections under that limit isn’t about dumbing down your content. It’s about making sure each section is a complete, self-contained thought that survives retrieval in isolation.
What to fix in your existing content
A few structural changes matter most:
- Use specific headings with proper HTML tags. Vague headings like “Overview” don’t help an agent understand what a section covers. “How to configure OAuth credentials” does.
- Break up long tables and procedures. A 20-row table is one chunk. A 20-step procedure is one chunk. Split them into smaller named sections so each piece is retrievable on its own.
- Make code samples self-contained. If a snippet requires five paragraphs of context to make sense, the agent retrieving just the snippet will misuse it. Add inline comments or a brief setup note inside the block itself.
- Describe important images in text. Agents can’t reliably interpret visuals. If a diagram carries key information, that information needs to exist as prose nearby.
How to test what you’ve built
Don’t assume your changes worked. Use an agent skill or a retrieval system API to see how your content is actually being chunked. What you get back shows you exactly what an agent sees when it pulls a section, which is often different from what you intended.
This isn’t a one-time fix. As you add new content, the same structural discipline applies. Sections that depend on surrounding context for meaning are sections that will fail in an agent-driven retrieval environment.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
At BizStack, I aim to cut through the digital noise to provide clear, actionable advice.
And more than all else, I’m a father to a (always) little girl and a husband.
Contact me at [email protected] for assistance.
