Lost in the Middle
In one line
Lost in the Middle is the well-documented effect where information sitting in the middle of a long context is used much less reliably than what sits at the beginning or end — the empirical basis for 'put the important stuff at the front or back'.
Going deeper
Lost in the Middle is a 2023 finding from a Stanford-led study: LLMs use information at the start and end of a long context far more reliably than information in the middle, producing a 'U-shaped' accuracy curve. The size of the effect varies by model and version, but the shape is consistent.
Two practical takeaways for marketers. First, when feeding long internal documents into an AI assistant, push key conclusions, policies and numbers to the beginning or end — never bury them in the middle. Second, the same logic applies to GEO content: do not hide your headline answer in a middle paragraph.
Teams hit this constantly in RAG, document summarisation and long-PDF analysis. The standard workarounds are reordering chunks, lifting critical facts to the top, and re-emphasising them at the close.
Sources
Related terms
Context Rot
Context rot is the phenomenon where LLM accuracy degrades as the context grows longer — the empirical reason a giant context window does not automatically mean better answers.
LLMContext Window
The context window is the maximum number of tokens an LLM can take in at once — it defines how much content the model can consider in a single prompt.
LLMRAG
RAG (Retrieval-Augmented Generation) lets an LLM fetch external documents at answer time and ground its response in them — the technique behind ChatGPT Search, Perplexity and most AI search products.
LLMContext Engineering
Context engineering goes beyond crafting a single prompt — it is the design discipline of deciding which context to assemble and how to feed it to the model, an idea that crystallised in 2024–2025.
LLMLLM
A large language model (LLM) is a neural network trained on massive text corpora to understand and generate human language — the engine behind ChatGPT, Claude, Gemini and similar products.
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