Context Window (Context Window)
Context window is the volume of text that a language model sees at a time. How the token limit works and why dense content is more likely to fall into AI search responses.
Context window The amount of text the LLM “sees” at a time when generating a response. Everything that is not included in the limit, the model does not take into account that it does not exist. Measured in tokens: current models at the beginning of 2026 – from 128,000 to several million. The flagship models of OpenAI, Google and Anthropic automatically trim or compress the old parts of the context when the window is overflowing, keeping the most relevant.
In GEO, the size of the context window determines how many snippets from third-party sites the model can simultaneously account for when generating a response. The denser and more specific the text of the page, the more compact the Chunk that will be extracted from it – and the higher the chance that it will fit into context next to the user’s query.
Related terms
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Fine-tuning – additional LLM training on highly specialized data. What is it, what is different from RAG and what approach is more important for GEO promotion.
Artificial intelligencellm
LLM (Large Language Model) is a neural network behind ChatGPT, Claude and Gemini. How it works, why it’s wrong and what it means for SEO and content marketing.
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LLM hallucination is when an AI generates compelling but false text. What is it, why does it arise, and how does it affect SEO and AI search?
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