Explainability
How well a system can show why it reached a decision. It matters most where the decision affects somebody — a loan, a diagnosis, a job application — and “the model said so” is not an answer.
Related terms
AI Agent
An AI that does things rather than only answering — browsing a site, filling a form, completing a booking. It is why websites are starting to be judged on whether a machine can use them, not only read them.
Content Signals
An extension to robots.txt that states not just who may crawl, but what they may do with what they find: appear in search, be quoted in answers, be used as training data. It lets you permit citation while refusing training.
AI Content Detection
Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
Prompt Library
A saved set of prompts a team reuses so results stay consistent between people. The simplest way to stop everyone reinventing the same instructions badly.
Author Authority
The weight given to content because of who wrote it. Advice attributed to a named person with a real background is treated very differently from advice signed by a company or by nobody.
Knowledge Graph
A map of things and how they relate — this company, its founder, its address, its services. Search engines and AI systems use one to know that two mentions of a name refer to the same business.

