Grounding
Giving an AI real source material to answer from, instead of letting it rely on memory. A grounded answer can be checked and cited; an ungrounded one is where hallucinations come from.
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Giving an AI real source material to answer from, instead of letting it rely on memory. A grounded answer can be checked and cited; an ungrounded one is where hallucinations come from.
When a model, instead of answering from memory, asks to run a specific tool — look up a price, check stock — and uses the result. It is what turns a chat assistant into something that can act.
Search that works on meaning rather than exact words, so a page can match a query it never literally contains. It is why writing naturally now beats repeating a keyword.
A search listing with something extra — stars, prices, an image, an FAQ dropdown. Rich results come from structured data, and they take up more of the screen than a plain blue link.
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.
Training by trial, error and reward rather than by examples. It is how models are tuned to be helpful and to refuse things they should refuse.
Perplexity’s crawler. Perplexity cites its sources prominently, so being readable by it is one of the more direct routes to a visible citation.