ChatGPT Search

OpenAI introduced web search in ChatGPT so that, for questions needing fresh or factual information, the model fetches live pages, reads them, and composes an answer that includes inline citations. It grew out of the SearchGPT prototype and is now a built-in capability rather than a separate product.

Retrieval for ChatGPT Search draws heavily on web indexes and OpenAI's own crawlers. Its search crawler (OAI-SearchBot) and the user-triggered fetcher (ChatGPT-User) gather pages, while broad ranking signals still influence what surfaces. In practice this means classic SEO health, crawlability, authority, clean structure, gates whether your content is even in the running to be cited.

Because it cites sources inline, ChatGPT Search is one of the highest-value surfaces for GEO: a citation is a named, often linked appearance delivered inside a conversation where the user is actively deciding. Getting cited depends on being retrievable and having passages a model can lift cleanly to support its answer.

For a store, ChatGPT Search is where a huge, growing audience now asks "what should I buy" questions and gets a short, cited answer. Being one of the named sources puts your brand directly in the buyer's decision, complete with a link, at a moment of high intent.

The levers are the familiar GEO ones: make sure OpenAI's crawlers can access your pages, keep facts consistent, and write direct, sourced, quotable passages on the product and guide pages that answer real buyer questions.

Illustrative scenario: a shopper asks ChatGPT "what's a good beginner espresso machine under $500," and the cited answer names three models with links. A store whose sourced buying guide is one of those citations earns a branded, linked appearance right where the decision is happening.