Foundation models
The big base models (GPT, Claude, Gemini, Llama, etc.) that products wrap.
GEO talks to products (ChatGPT) more than to raw model names, but routing changes can move answers when they swap bases.
Open weights vs closed changes crawler politics.
Examples
- A wrapper silently switches base model. Your prompt series jumps. Log the wrapper version if you can.
Related terms
Products that search with language models: ChatGPT, Perplexity, Gemini, Copilot, Grok, and a long tail of wrappers.
OpenAI’s model family name, now casual shorthand for “a chatbot.” The architecture is transformers; the product is ChatGPT.
Public-weight models (Llama, Mistral, Qwen, DeepSeek). They show up in company chat UIs you cannot see from the outside.
FAQ
Optimize per model family? +
Optimize the public web once. Sample the products. Don’t write a GPT page and a Claude page of the same fluff.
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