How LLM differs from LLMO, GenAI, RAG
A general AI model can be any architecture (vision, audio, multimodal). An LLM is specifically a language-focused neural network. Most modern "AI assistants" are LLMs at their core.
How Mentionwell handles LLM
- Mentionwell's LLMO layer makes content reachable, parseable, and trustworthy to LLMs themselves.
- Per-article Markdown mirrors and embeddings index every published article for downstream LLM ingestion.
- Editorial pipeline produces content that's citable by LLMs without rewrites.
Frequently asked questions about LLM
What is an LLM?
A Large Language Model — a neural network trained on huge text corpora to predict and generate text. GPT, Claude, Gemini, Grok, Llama, Mistral are examples.
Are all AI assistants LLMs?
Most consumer AI assistants today are LLMs (sometimes multimodal, with vision and audio added). Specialized AI products may use other architectures.
See also
Ship LLM-optimized articles automatically
Mentionwell handles LLM on every published article — alongside the other six optimization targets in this glossary — so you don't have to think about it per post. Drop a domain, approve the first headline, watch the pipeline run.