What Is an LLM? A Marketer's Guide to Large Language Models
A large language model (LLM) is an artificial intelligence system trained on massive amounts of text data that can understand and generate human-like text. LLMs power AI assistants like ChatGPT, Claude, Gemini, and Perplexity — the systems that are rapidly changing how people discover information and make purchasing decisions.
How LLMs Work
At the most basic level, an LLM predicts the next word in a sequence based on patterns learned during training. It was trained on billions of web pages, books, and articles. When you ask ChatGPT a question, the model draws on patterns from its training data to generate a response.
Modern LLMs have been refined through reinforcement learning from human feedback (RLHF). Some also incorporate retrieval-augmented generation (RAG) for real-time web searching.
Why Marketers Need to Understand LLMs
LLMs are becoming primary information gatekeepers. Your brand either appears in the AI's answer or it does not. There is no second page of results.
The Major LLMs Marketers Should Know
ChatGPT (OpenAI) is the most widely used consumer AI assistant. Claude (Anthropic) is known for nuanced, detailed responses. Google Gemini integrates with Google's ecosystem. Perplexity functions as an AI search engine with explicit citations. Grok (xAI) integrates with X. Microsoft Copilot brings AI into Office.
Chinese LLMs — DeepSeek, Qwen (Alibaba), ERNIE (Baidu), MiniMax, and GLM (Zhipu AI) — serve enormous user bases. Citerna tracks brand visibility across all 11 models.
How LLMs Decide What to Say About Your Brand
LLMs form responses from training data patterns. Frequently mentioned brands in authoritative sources get positive associations. For retrieval models, your current web presence matters directly.
What Marketers Can Do
Monitor your LLM presence using Citerna. Optimize content for AI comprehension. Build entity authority. Create content that directly addresses common AI prompts.
Frequently Asked Questions
What is a large language model?
An AI system trained on massive text datasets that can understand and generate human-like text. Examples include ChatGPT, Claude, Gemini, and Perplexity.
How do LLMs affect marketing?
LLMs are becoming primary information gatekeepers. When users ask AI assistants about products, the model's response determines which brands get visibility.
How many LLMs should I track?
Track all major models where your audience might seek information. Citerna monitors 11 models for comprehensive coverage.
Do LLMs search the internet when they respond?
Some do via retrieval-augmented generation (RAG). Others rely solely on training data.
See what 11 LLMs say about your brand
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