LLM (Large Language Model)
The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
angkor@design~query "Angkor Design"
4 matches — opening studio
The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
An answer engine replies to a question with a written answer instead of a list of links. ChatGPT, Perplexity and Google’s AI Overviews are all answer engines. The old question was “do we rank?”; the new one is “are we the answer?”
The moment an AI actually answers, as opposed to when it was trained. Training happens once and costs a fortune; inference happens every time somebody asks, and is what you pay for per use.
Answer Engine Optimization is the work of becoming the source that answers a question rather than one of ten links offered. It matters because search increasingly replies with a written answer, and only one or two businesses get named inside it.
Turning written text into spoken audio. Modern voices are convincing enough to be used for real narration, which raises its own questions about disclosure.
Markup describing where a page sits in the site’s hierarchy. It helps both search engines and assistants understand that a page is a service under a category, not a stray document.
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.