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Definition

What is AI search?

AI search is AI search is a search product that reads web pages and writes a direct answer with citations, instead of returning a list of links for you to open yourself.

AI search is search that answers you. You type a question, the system looks up sources, and an AI model writes a short response, usually with links to the pages it drew from. The old model gave you ten blue links and left the reading to you. This one does the reading first.

How it works

Behind the answer sits a pipeline. The system turns your question into one or more search queries, fetches the best pages, and passes their text to a language model. The model summarizes what it found, and the product shows citations next to the claims. That fetch-then-write pattern is grounding, and the lookup is often retrieval-augmented generation.

Some products also run an AI agent that searches repeatedly, follows leads and compiles a longer report. Others stay with a single quick answer.

Why it matters to you

For readers, AI search is faster for questions with a clear answer and weaker when the source matters. A summary hides which page said what, so the citation links are the part worth using. A confident answer can still be built on a poor page, and the model can still produce a hallucination while summarizing.

For anyone who publishes online, the effect is bigger. If the answer appears on the results page, fewer people click through to the site that wrote it. That is why publishers now argue over AI data licensing, what a web crawler may read, and how to signal preferences in robots.txt. Whether a page is used to train a model and whether it is used to answer someone's question are two separate choices, and sites increasingly want to set them separately.

An example

You ask, "Which laptops can run a 70 billion parameter model locally?" A classic search returns reviews and forum threads to read. AI search reads several of them, writes a paragraph on memory requirements, mentions unified memory and VRAM, and links its sources. You get the gist in seconds, then click through if the stakes are high.

How to use it well

Use it to orient yourself, then verify what you will act on. Open at least one cited page for any figure, price, date or medical, legal or financial claim. Notice when the answer cites nothing, or cites pages that do not say what the summary claims. And compare tools: they pick different sources, so the same question can produce different answers.

AI search relies on the context window to hold fetched pages, on tool use to run the searches, and on AI memory in products that remember what you asked before.

Questions people ask

How is AI search different from Google search?

Traditional search returns a ranked list of links. AI search reads the sources and writes an answer for you, usually with citations. Search engines now offer both.

Can I trust AI search answers?

Trust them as a starting point. Open the cited pages to confirm any number, date or important claim.

AI search in the news

#03

Mistral prices a full voice agent at $0.04 a minute

Mistral released Voxtral 3 on Oct. 20: new transcription and speech models plus a voice agent API at $0.04 a minute when it reasons with Mistral Small 4. Skip the benchmark charts. The per-minute price and the choice of where audio is processed are the story.