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AI & Answer Engines

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.

Related terms

AI & Answer Engines

E-E-A-T

Google’s shorthand for Experience, Expertise, Authoritativeness and Trust — the qualities its raters look for. Not a score you can see, but a decent description of what makes content worth surfacing.

AI & Answer Engines

RDFa

Another attribute-based markup standard for embedding machine-readable facts in a page. Less common on business websites than JSON-LD, and largely equivalent in what it can express.

AI & Answer Engines

GPTBot

OpenAI’s crawler for building its index. Blocking it in robots.txt keeps your content out of that index — and out of the answers built from it.

AI & Answer Engines

Transformer

The model architecture behind almost every modern AI system, introduced in 2017. Its trick is paying attention to how every word in a passage relates to every other, which is what made fluent machine writing possible.

AI & Answer Engines

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 & Answer Engines

llms.txt

An emerging convention: a plain-text file at your site root that gives AI systems a clean map of what is on it. It saves an assistant from crawling around to work out what your site contains.

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