Large language model (LLM)
The AI trained on huge text data that powers tools like ChatGPT and Gemini.
In depth
What it really means
A large language model is an AI trained on vast amounts of text to predict and generate language. LLMs power the assistants and answer engines your buyers increasingly use to research, compare and decide.
You do not optimize the model itself; you optimize the content it retrieves and the reputation it has learned, so that it represents and recommends you well.
Best practices
- Publish clear, accurate content the models can learn from and retrieve.
- Build a strong, consistent reputation across trusted sources.
- Structure content so it is easy to lift and cite.
- Keep facts current to stay a reliable source.
- Track how the major models describe you.
FAQs
What is a large language model?
An AI trained on huge amounts of text to understand and generate language. LLMs power tools like ChatGPT and Gemini.
Can I optimize an LLM?
Not the model directly. You influence what it retrieves and what it has learned about you through your content and reputation.
How do LLMs affect marketing?
Buyers use LLM-powered assistants to research and decide, so being well-represented and cited by them is a new visibility channel.
Do LLMs know everything?
No. They have knowledge cutoffs and can be wrong, which is why many tools retrieve live sources to stay accurate.
How do I show up in LLM answers?
Publish clear, accurate, retrievable content and build a trusted reputation the models can draw on.
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