AI
Small language models (SLMs)
Compact models for on-device or cheap inference. They hallucinate more without RAG. Your pages still need to be simple enough to retrieve.
On-device search might not browse. Then you’re back to parametric luck.
Don’t write for SLMs specifically. Write clearly.
Examples
- A phone model summarizes cached pages. If you were never fetched, you don’t exist there.
Related terms
Apple Intelligence
On-device and Private Cloud Compute assistants in Apple’s ecosystem. Discovery here is app- and OS-shaped, not a public SERP.
Foundation models
The big base models (GPT, Claude, Gemini, Llama, etc.) that products wrap.
RAG (retrieval-augmented generation)
RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
FAQ
Different GEO? +
Same public facts. Less browsing. Entity consensus matters more.
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