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.
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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.
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.
When the same URL serves different formats depending on what the visitor asks for — HTML for a browser, Markdown for an assistant. It lets one address serve people and machines without either getting a compromise.
A working model of something real — a building, a supply chain — kept in step with it using live data, so changes can be tested before they are made for real.
AI that interprets images and video — reading a document, recognising a product, counting people. The part of AI that has been quietly working in industry for years.
Keeping a person in the decision, either approving what the AI produced or handling the cases it flags. The usual sensible middle ground between doing everything by hand and trusting a machine completely.
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.