AI search · Glossary
What is a large language model?
A large language model (LLM) is an AI model trained on very large amounts of text to predict and generate language, which lets it answer questions, summarize and write. ChatGPT, Gemini, Claude and Copilot are built on large language models.
Written by Noor KhanWhy Large language model matters
Every AI answer about your business comes from a language model. What it says depends on what it learned in training and on the web pages it retrieves when it searches, and a business can influence both.
How Large language model works
- The model learns patterns from text collected up to a training cutoff, then generates answers from those patterns.
- Many assistants also search the web and base their answers on the pages they find, which is how newer information gets in.
- Because the model predicts likely text, it can state wrong facts fluently. OpenAI calls these hallucinations.
How to apply it
- Publish clear, consistent facts about your business so training data and live search find the same story.
- Allow the search crawlers of the assistants you want to appear in.
- Check what the main assistants say about you each month.
Example
A SaaS company asks ChatGPT, Gemini and Claude the same buyer question and gets three different shortlists, so it tracks each assistant on its own line instead of blending the results.
Common mistake
Treating a language model's answer like a database lookup. It generates text from patterns, so a confident answer can still be wrong.
put this into practice