Ai Search

Large Language Model (LLM)

A large language model (LLM) is an AI system trained on vast amounts of text data to understand and generate human-like language. LLMs power ChatGPT, Gemini, Claude, and Llama. They are increasingly used to answer user queries directly, bypassing traditional search results.

Why Large Language Model (LLM) Matters for SEO

LLMs are becoming a primary information discovery interface. The same content that ranks in Google is increasingly cited by LLMs — SEO and LLM visibility are converging. Understanding LLMs helps you make better decisions about content structure, authority signals, and entity clarity.

How Large Language Model (LLM) Works

LLMs are trained on massive text datasets and learn language patterns and world knowledge. They generate responses by predicting the most likely continuation based on training. Some use real-time retrieval (RAG) to access current information while others rely only on training data with a knowledge cutoff.

Common Mistakes

  • Ignoring LLMs as a discovery channel for your brand
  • Not understanding the difference between training data knowledge and real-time retrieval
  • Assuming your brand is accurately represented without testing across multiple LLMs
About the Author

Lawrence Hitches is an AI SEO consultant based in Melbourne and General Manager of StudioHawk. He specialises in AI search visibility, technical SEO, and organic growth strategy. Book a free consultation →