ChatGPT Search

GEO

OpenAI's web search feature inside ChatGPT that retrieves live information from the web and cites sources directly in the conversational response.

Definition

ChatGPT Search is the web search capability built into ChatGPT, launched as "SearchGPT" in July 2024 and rolled out to all users in late 2024. When a user asks a question that requires current information, ChatGPT performs a live web search, retrieves relevant pages, and generates a grounded answer with inline citations linking to the original sources.

Unlike Google, ChatGPT Search does not return a list of blue links. It returns a conversational answer with a small set of cited sources (typically 3 to 5), usually displayed as numbered references or a sidebar of source cards. The user can click through to the source pages, but many queries are answered entirely in the chat.

Why It Matters

ChatGPT had over 200 million weekly active users as of mid-2024, a significant portion of whom use it for information lookup rather than traditional Google searches. Being cited in ChatGPT Search answers is therefore a new form of organic visibility that sits alongside traditional SEO.

The ranking signals ChatGPT Search uses overlap with traditional SEO (authoritative domains, clear content, relevant keywords) but emphasize different features: well-structured answer formats, clear entity naming, quotable statements, and crawlability by OpenAI's bots (OAI-SearchBot, ChatGPT-User, GPTBot).

How Acta AI Handles This

Acta AI's GEO optimization layer targets the same structural patterns that ChatGPT Search prefers: answer-first paragraphs, entity-rich language, specific statistics with inline citations, and FAQ schema. The robots.txt for sites generated with Acta AI explicitly allows OpenAI's crawlers so pages are eligible for retrieval.

Learn more about this feature

Examples

A ChatGPT Search response typically looks like this in the conversation:

text
User: What is query fan-out in AI search?

ChatGPT: Query fan-out is a technique where an AI
search engine decomposes a single user question
into multiple related sub-queries, runs them in
parallel, and synthesizes the results into a
unified answer [1][2]. Google AI Mode uses this
approach to cover the full semantic footprint of
a broad question [1].

Sources:
  [1] withacta.com/glossary/query-fan-out
  [2] searchengineland.com/google-ai-mode-fan-out

The numbered citations are clickable. Getting your URL into that citation list is the goal of GEO. Even a single cited source in a ChatGPT answer can drive significant brand visibility and click-through traffic.

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