Entity SEO
Optimising to be recognised as a specific, real thing rather than for particular keywords. In practice it means consistent naming, structured data, and being mentioned in enough other places to be corroborated.
angkor@design~query "Angkor Design"
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Optimising to be recognised as a specific, real thing rather than for particular keywords. In practice it means consistent naming, structured data, and being mentioned in enough other places to be corroborated.
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.
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.
When an AI states something false with complete confidence — an invented price, a policy you never had, a product you do not sell. The usual cause is that the correct fact was not available anywhere it could read.
How recently a page was published or genuinely updated. It matters most for things that change — prices, availability, guidance — and matters little for things that do not.
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.
Markup that labels questions and their answers as questions and answers. It is the most direct way to hand an assistant something it can quote in full without swallowing the surrounding page.