Large Language Model (LLM)

An LLM is a large language modelA Large Language Model (LLM) is an AI model that learns from large amounts of text and generates formulated answers from it. LLMs form the core of generative answer systems such as ChatGPT, Perplexity or Gemini.Open glossary entry → that statistically learns language from very large amounts of text and generates coherent answers from it. It forms the basis of modern AI answer systems.

Generative search systems often combine a language model with web search, retrieval or indexIndexing is the step in which a search engine processes crawled content and decides whether a URL is added to the search index. Only indexed pages can appear in search results.Open glossary entry → data. They gather information from multiple sources and synthesize it into an answer. For website owners, it matters that an LLM can only use content if it is accessible, understandable and extractable.

Practical implications for AI VisibilityAI Visibility describes whether and how visible a brand, website or person is in AI-generated answers. It measures mention, position, description and source linking across multiple platforms and prompts.Open glossary entry →:

• clear structure and semantic HTMLSemantic HTML means using HTML elements according to their meaning, such as for the main content or for navigation, instead of building everything from generic containers.Open glossary entry → help the model classify content,
• concrete facts, definitions and sources are more citable than marketing language,
• answers from the same model can vary depending on prompt, time and web access.

Optimizing content for language models is also called Large Language Model Optimization (LLMO).