Predictive Analytics
Using historical data to estimate what will happen next: which customers will lapse, which stock will run out. Useful precisely to the degree that the past resembles the future.
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Using historical data to estimate what will happen next: which customers will lapse, which stock will run out. Useful precisely to the degree that the past resembles the future.
Perplexity’s crawler. Perplexity cites its sources prominently, so being readable by it is one of the more direct routes to a visible citation.
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.
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.
Text, images or video produced by AI. Not penalised for being synthetic, but it is judged by the same standard as anything else — and thin AI-written pages fail that standard easily.
Searching by meaning rather than by matching words. A page that never uses the phrase somebody typed can still be the best answer, and vector search is what finds it.
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.