What is an LLM?
TL;DR
An LLM (Large Language Model) is a type of artificial intelligence trained on vast amounts of text data that can understand and generate human-like language.
Last updated: 2026-03-09
Definition#
A Large Language Model (LLM) is an AI system trained on billions of pages of text from books, websites, and documents. Through this training, the model learns patterns in language and can generate coherent, contextual responses to questions and prompts.
Popular LLMs include GPT-4 and GPT-4o (powering ChatGPT), Claude (from Anthropic), Gemini (from Google), and Llama (from Meta). These models power the AI assistants, search engines, and chatbots that are changing how people find information online.
LLMs do not just memorize text. They learn relationships between concepts, understand context, and can reason about new information. When connected to the web through retrieval systems, they can access and cite current content from websites.
Why It Matters for AI Readiness#
LLMs are the technology that reads and interprets your website's content. Understanding how they work helps you structure your content in ways that LLMs can easily process and cite.
LLMs prefer clear, well-structured content with explicit facts. They struggle with ambiguous language, content hidden behind JavaScript, and pages that lack context clues like headings and metadata. Improving your site for LLMs is the core goal of AI optimization.
Related Concepts#
LLMs are related to RAG (retrieval-augmented generation, which connects LLMs to live web data), AI Crawlers (the bots that collect data for LLMs), and ChatGPT and Perplexity (products powered by LLMs).
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