In One Sentence
AI Search is a search experience where, in response to a user's question, generative AI (ChatGPT, Claude, Gemini, etc.) presents a direct answer plus citation URLs.
What does this look like in practice?
In a traditional Google search, searching "What is the fastest route from Tokyo to Osaka?" returns a list of links. The user had to click through promising articles and assemble information on their own.
By contrast, asking the same question in AI search (e.g. Perplexity) returns something like:
From Tokyo to Osaka, the Shinkansen Nozomi is the fastest at around 2 hours 30 minutes (source: JR Central official). The actual flight time is shorter, but including airport access the total ends up roughly the same as the Shinkansen (source: X Airlines).
You get a direct answer plus source URLs.
Why it matters
- Search behavior is changing: Especially in B2B / specialist domains, more users now ask an AI first
- If you are not cited, you do not exist: Companies that do not show up in AI search answers fall out of the consideration set
- Click counts themselves may drop: More users finish reading the answer without clicking any link (= being cited by AI becomes even more important)
Major AI search services
| Service | Provider | Characteristics |
|---|---|---|
| ChatGPT (Search) | OpenAI | Widely used; integrates SearchGPT capabilities |
| Perplexity AI | Perplexity | Style that explicitly shows citation URLs |
| Claude | Anthropic | Strong on long-form / specialist domains; search via Claude-Web |
| Gemini AI Overview | Displayed at the top of Google search results |
What it takes (from a company perspective)
To get your company cited in AI search, you need a set of tactics called GEO (Generative Engine Optimization). Concretely:
- Deploy llms.txt
- Implement Schema.org structured data
- Build out FAQ pages
- Publish first-party data (proprietary research and industry reports)
For details, see the Complete Guide to GEO Basics.