Category: AI Search & Discovery
Definition:
A Large Language Model (LLM) is an artificial intelligence model trained on large amounts of text and other data to understand and generate human-like language.
LLMs can answer questions, summarize information, generate content, analyse text, and participate in conversations.
Why it matters:
LLMs are a fundamental technology behind many AI assistants and AI-powered search experiences. They influence how systems interpret queries, understand content, generate answers, and describe brands and topics.
For AI visibility, understanding how LLMs process information helps explain why clear, authoritative, and well-structured information can be important.
Example:
A user asks an AI assistant, “What should I look for when choosing accounting software?”
An LLM can interpret the question, identify relevant concepts, and generate a response explaining factors such as features, integrations, usability, security, and price.
LLM vs. Search Engine:
A search engine primarily discovers and retrieves information from an index.
An LLM primarily processes and generates language. Modern AI search systems can combine LLMs with search, retrieval, and other technologies.
Related terms:
Generative AI · NLP · Natural Language Understanding (NLU) · AI Search · Answer Engine · RAG · Generative Search · AI Visibility
In simple terms:
An LLM is an AI model trained to understand and generate human language.
