Context window
The amount of text an AI model can consider at once, which limits how much it can read before answering.
In depth
What it really means
The context window is how much text a model can hold in mind at one time, its prompt plus any retrieved sources plus its own answer. Bigger windows let a model read more before responding, but there is always a limit.
For marketers, the takeaway is that models don’t read the whole web at once. Clear, concise, well-structured content is more likely to fit and be used than a bloated page.
Best practices
- Keep key answers concise and near the top.
- Structure content so the important part is easy to isolate.
- Avoid burying facts in long, meandering pages.
- Make each section self-contained.
- Prioritize clarity over length.
FAQs
What is a context window?
The amount of text an AI model can consider at once, including the prompt, any sources and its answer.
Why does it matter for content?
Models can’t read everything at once, so clear, concise, well-structured content is more likely to fit and be used.
Do bigger context windows change this?
They help, but there is always a limit, and concise, well-structured content still gets used more reliably.
How does this affect long pages?
Long, meandering pages risk having key facts overlooked. Front-load and structure the important parts.
Is this the same as a knowledge cutoff?
No. The context window is what a model reads per query; the cutoff is how recent its training data is.
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