Fine-Tuning
Taking a general model and training it further on your own examples so it follows your tone or handles your particular task. Useful when prompting alone keeps producing nearly-right answers.
angkor@design~query "Angkor Design"
4 matches — opening studio
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Taking a general model and training it further on your own examples so it follows your tone or handles your particular task. Useful when prompting alone keeps producing nearly-right answers.
Markup identifying the parts of a page suitable to be read aloud by a voice assistant. Narrow in application, but it removes the guesswork about which sentence answers the question.
Structured data describing the business itself: name, logo, address, contact details, social profiles. The single most useful markup for being recognised, and the one most small sites are missing.
Apple’s equivalent, governing whether your content feeds Apple Intelligence. Ordinary Applebot, which powers Siri and Spotlight, is controlled separately.
Your business being named in an AI answer, with or without a link. Worth tracking separately from traffic, because a mention can win the customer without ever producing a click.
Perplexity’s crawler. Perplexity cites its sources prominently, so being readable by it is one of the more direct routes to a visible citation.
A standard location, always under /.well-known/, where machines look for information about a site — security contacts, API catalogues, agent details. Putting files there means they can be found without being linked.