Large Language Model (LLM)
An AI model trained on enormous amounts of text and therefore able to understand and generate human language.
By Tanguy De Keyzer · Founder & digital strategist
A Large Language Model (LLM) is an AI model trained on gigantic amounts of text, which lets it understand, summarise and generate human language itself. It predicts the most likely next token each time, and that seemingly simple task produces surprisingly fluent answers. LLMs are the engine under generative AI.
What can an LLM do exactly?
An LLM processes a prompt and builds an answer word by word. It can write texts, answer questions, generate code, translate and reason about what you put to it. You already know the best-known applications: ChatGPT from OpenAI, Gemini from Google, Claude from Anthropic and Perplexity all run on large language models. With techniques like RAG, such a model can also consult current or company-specific information that was not in its training data.
Why LLMs determine your visibility
More and more people ask their question directly to an LLM instead of a classic search engine. They get a direct answer, sometimes with source citations, sometimes via an AI Overview at the top of Google. Being named and cited in those answers is a new visibility channel, and that is exactly what GEO optimises. Anyone who does not appear there disappears from a growing part of the customer journey.
What it means for B2B companies
An LLM is a powerful lever, but it sometimes confidently makes things up. So use the output as a starting point, not an end product, especially for facts, figures and advice to customers. What counts for you is not how fluently the model sounds, but whether your content is reliable enough to be recommended by these models to real buyers.
From theory to growth.
We turn Large Language Model into measurable results for your business.