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.
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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.
A public page stating how a business uses AI and what it does with customer data. Increasingly expected, and cheap to write honestly.
The weight given to content because of who wrote it. Advice attributed to a named person with a real background is treated very differently from advice signed by a company or by nobody.
The written summary Google now places above its search results, assembled from several pages and citing a few of them. Appearing inside one can bring visitors; being left out of one can quietly cost you the clicks you used to get.
When a search engine surfaces one relevant passage from a long page rather than judging the page as a whole. Clear headings are what make a passage findable in isolation.
A longer, more specific search — “boutique hotel Siem Reap near Pub Street with a pool” rather than “hotel”. Individually rare, collectively most of all searches, and far easier to answer well.
A boxed answer at the top of a results page, lifted from one page and credited to it. Winning one usually means having answered the question plainly and early rather than burying it.