Fine-Tuning
Taking a general model and training it further on your own examples so it follows your tone or handles your particular task. Useful when prompting alone keeps producing nearly-right answers.
Related terms
Supervised Learning
Training a model on examples that are already labelled with the right answer. It is the most common approach when you know exactly what you want the system to produce.
Vector Database
A database built to store embeddings and find the closest matches quickly. It is the part of an AI search system that decides which of your pages is relevant to a question.
RAG (Retrieval-Augmented Generation)
A technique where the AI first searches a set of documents, then writes its answer from what it found. It is how assistants quote current information rather than whatever was in their training data.
LocalBusiness Schema
Organization markup with the details a local search needs — address, opening hours, service area, price range. What lets an assistant answer “is there one near me, and are they open now?”
Function Calling
When a model, instead of answering from memory, asks to run a specific tool — look up a price, check stock — and uses the result. It is what turns a chat assistant into something that can act.
AI Visibility
How often, and how accurately, AI assistants mention your business when someone asks about what you do. Unlike search rankings there is no official scoreboard, so it is measured by asking the assistants and by watching which crawlers visit.