Large Language Models (LLMs) explained
A large language model (LLM) is a neural network trained on vast amounts of text to predict and generate language. Through training it learns grammar, facts, associations and patterns of reasoning.
LLMs have two limits that matter for brands: their trained knowledge has a cutoff date, and they can produce confident but wrong statements. AI search products address both by combining LLMs with retrieval — fetching current sources before answering.
Some site owners choose to opt out of model training via robots.txt tokens (such as GPTBot or Google-Extended) while still allowing search crawlers. These are separate decisions with different effects.
Large Language Models (LLMs): an example
GPT models power ChatGPT, Gemini models power Google's Gemini app, and various models power Microsoft Copilot.
Why it matters for search and AI visibility
LLMs write the answers in AI search. What they say about your brand depends on what they learned and what they retrieve.
Last reviewed by the Prisol team.