Glossary · AI answer engines
Google AI Mode
Google Search's conversational, AI-first mode that answers a query by fanning it out into sub-questions and synthesizing one cited response.
Query fan-out in AI Mode
Fanned into sub-questions
- setup time & onboarding
- pricing for small teams
- integrations & CRM sync
One synthesized answer
For a team that size, the fastest to set up is yourbrand, with startup pricing and native CRM sync.
Google AI Mode is a dedicated, conversational way to search inside Google — a distinct mode you enter on purpose, built on Google’s Gemini models. Where a classic search runs your question once, AI Mode takes a harder question apart, searches the pieces in parallel, and hands back a single synthesized answer you can keep refining.
What Google AI Mode actually is
AI Mode is a separate, AI-first experience within Google Search, more advanced and more interactive than the AI Overviews you see on the ordinary results page. Instead of a static list of links — or a single summary sitting on top of them — it gives you a conversational answer built for exploration. You ask, it responds, and you can ask follow-up questions to go deeper without starting over.
It is built on Gemini, and it is aimed at the questions the old ten-blue-links format handled poorly: multi-part, open-ended, exploratory queries where the real answer spans several considerations at once.
Query fan-out: the defining mechanism
The behavior that sets AI Mode apart is query fan-out. When you ask something complex, it doesn’t run one search. It breaks your question into multiple related sub-questions, searches them in parallel, and then synthesizes what it finds into one comprehensive answer.
Ask “what CRM should a five-person startup use?” and AI Mode might fan that out into separate searches for setup time, pricing at that team size, and integrations — then pull the threads back together into a single response, with citations to the sources behind it.
AI Mode vs. AI Overviews
The two are easy to confuse because both are Google AI answers, but they sit in different places and do different jobs.
Why it matters for visibility
Fan-out changes where citations come from. A single query rewards the handful of pages that rank for that exact phrasing. A fanned-out query rewards whatever best answers each of its sub-questions — which means the pages that earn a mention may be the ones that cover a specific angle cleanly, not just the ones that rank for the headline query.
- Answer the sub-questions, not just the headline. The larger query breaks into parts — pricing, setup, integrations, comparisons. Cover those directly and you become eligible for more of the sub-searches.
- Write self-contained passages. AI Mode assembles an answer from pieces it can lift; sentences that stand on their own are easier to synthesize and cite.
- Follow-ups extend the conversation. Because a session can keep going, the content that supports the next question — not just the first — has a chance to be surfaced.
Frequently asked
- How is Google AI Mode different from AI Overviews?
- AI Overviews is a summary that appears above the classic results on the normal search page — a single AI answer layered onto the results you already see. AI Mode is a separate, dedicated experience: a full conversational search you enter on purpose, more advanced and more interactive, where you can ask follow-up questions and keep refining. Overviews sits on the results page; AI Mode is its own mode.
- What is query fan-out?
- Query fan-out is the mechanism at the heart of AI Mode. Instead of running your question as a single search, it breaks a complex question into several related sub-questions, searches them in parallel, and then synthesizes everything it finds into one comprehensive answer. Because it fans out into many sub-queries, it can draw on a wider set of sources than a single query would.
- How do I get cited in AI Mode?
- AI Mode assembles its answer from the sources that best answer each sub-question, so the work is to answer those sub-questions well. Publish clear, self-contained content that addresses the specific angles a buyer's larger question breaks down into — pricing, setup, integrations, comparisons — in language a model can lift on its own. The more of those sub-questions your content answers credibly, the more chances you have to be one of the cited sources.