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Retrieval-augmented generation (RAG)

RAG retrieves relevant external documents for a question and supplies them to a language model as context before generation. It can make answers more grounded, but does not guarantee correct retrieval, citations or factual output.

RAG retrieves relevant external documents for a question and supplies them to a language model as context before generation. It can make answers more grounded, but does not guarantee correct retrieval, citations or factual output.

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Practical articles and guides by SurfUp.

Guide · 10 min

“What is…” pages and AI answers: lost clicks or falling demand

A bank’s reference section lost 24% of visits as demand fell 13%. How to tell clicks lost to an AI block from falling demand and how to measure it.

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Guide · 8 min

Traffic dropped after a Google update

How to tell whether a traffic drop comes from a Google update, seasonality or a site fault. 2026 update timeline, a six-question check and a plan for the first 14 days.

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Guide · 9 min

Demand fell or the site lost: reconciling traffic with Wordstat

Demand for deposits fell 75%, traffic 37%; for cards demand −35%, traffic −63%. How to reconcile traffic with demand and not blame the site for the market.

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