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Technical · Definition

Large Language Model (LLM)

A Large Language Model (LLM) is an AI system trained on massive text datasets that powers ChatGPT, Claude, Gemini, and AI search engines like Perplexity.

Full definition

A Large Language Model (LLM) is an artificial intelligence system trained on enormous amounts of text data to understand and generate human-like text. LLMs power popular AI assistants like ChatGPT, Claude, and Gemini, as well as AI search engines like Perplexity.

Key LLMs Relevant to GEO:

OpenAI GPT Series

  • Powers: ChatGPT, Microsoft Copilot
  • Training: Web content, books, code
  • Key Feature: Strong general knowledge, coding ability

Anthropic Claude

  • Powers: Claude.ai, various integrations
  • Training: Constitutional AI approach
  • Key Feature: Safety focus, long context windows

Google Gemini

  • Powers: Gemini, Google AI Overviews
  • Training: Multimodal (text, images, code)
  • Key Feature: Integration with Google Search

Meta Llama

  • Powers: Various open-source applications
  • Training: Open weights, customizable
  • Key Feature: Self-hostable, privacy-focused

How LLMs Use Your Content:

  1. Training Data: Content may be included in training datasets
  2. Retrieval Augmented Generation (RAG): Real-time content retrieval
  3. Web Browsing: Direct access to current web content

Understanding how different LLMs work helps inform GEO strategy and optimization priorities.

Related terms
Keywords
  • large language model
  • LLM
  • AI model
  • GPT
  • language model