What it is
ChatGPT is an AI assistant developed by OpenAI, launched publicly in late 2022. It is one of the most widely used AI answer engines and a common alternative to traditional search for many query types.
Identifiers
Why it matters
For marketing visibility, ChatGPT matters because a growing share of information queries that used to go to Google now go to ChatGPT directly. Getting cited when ChatGPT synthesizes an answer requires content and schema work similar to Google AI Overview, but with distinct behaviours.
The practical difference is the shape of the result. A search engine hands back ten options and lets the reader choose. ChatGPT hands back one answer. If your business is not in that answer, there is no second position to settle for — you are simply absent from the conversation.
Basics
ChatGPT can search the web live for most queries and cites the URLs it uses. When web search is not active, it answers from training data alone. Brands mentioned consistently across authoritative sources get named in ChatGPT outputs even without live search.
How ChatGPT decides what to cite
Two mechanisms run in parallel, and they reward different work.
Live retrieval. When the model searches, it fetches a handful of pages and synthesizes from what it can extract quickly. Pages that state a claim plainly, near the top, in a self-contained passage are easier to quote than pages that bury the answer under a long preamble. Clean headings and short factual paragraphs help; walls of undifferentiated prose do not.
Training data. Where no live search happens, the model reproduces what it absorbed. That is a slower game decided by how often and how consistently your brand, people, and claims appear across sources the model was trained on — your own site, yes, but also directories, press, and third-party mentions that describe you the same way.
What this means for your content
Answer the question in the first sentence under the heading that asks it. Keep entity details — company name, location, services, author credentials — consistent everywhere they appear, because inconsistency splits the signal. Mark up pages with Schema.org types so the extraction step has structure to work with rather than guesswork. And write passages that survive being lifted out of context, since that is exactly what happens to them.