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Large Language Model (LLM)

AI systems trained on vast text data that power conversational AI assistants and AI-powered search engines.

A Large Language Model (LLM) is a type of artificial intelligence system trained on massive amounts of text data to understand and generate human-like text. LLMs power popular AI assistants like ChatGPT (GPT-4), Claude, Perplexity, and Google's Gemini.

For marketers and SEO professionals, understanding LLMs matters because:

  • LLMs decide which brands to mention in their responses
  • Training data influences which sources are considered authoritative
  • Content structure affects how well LLMs understand your information
  • Citation patterns reveal what LLMs consider trustworthy

Key LLM concepts for marketers:

  • Training data: The text corpus used to train the model
  • Retrieval-augmented generation (RAG): How LLMs pull in real-time information
  • Prompt engineering: How users interact with LLMs
  • Model parameters: The model's capacity to understand nuance

The most prominent LLMs affecting brand visibility include GPT-4 (OpenAI), Claude (Anthropic), Gemini (Google), and Llama (Meta).

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