DefinedTerm · Glossary
What is Google AI Mode
AI Mode is Google's advanced conversational search interface, launched in the United States in May 2025 at Google I/O. It operates via query fan-out: the system decomposes a user's query into multiple simultaneous sub-queries processed by Gemini 2.0, supports follow-up questions, and generates responses with deep reasoning. Its thematic search mechanism is documented in patent US20240329934A1.
Full definition
AI Mode is Google's conversational search modality that goes beyond the AI Overviews integrated into the standard SERP. Launched in the United States during Google I/O in May 2025, AI Mode is accessible as an independent tab in Google Search and is powered by a customised version of Gemini 2.0. It allows users to ask complex, multi-part questions and continue the conversation through follow-up queries, in a manner similar to Perplexity or ChatGPT Search, but integrated into Google's ecosystem.
The defining technical mechanism of AI Mode is query fan-out: when a user enters a query, the system decomposes it into multiple thematic sub-queries or semantic reformulations that execute in parallel, retrieving information from tens or hundreds of sources simultaneously. Entities and relationships from Google's Knowledge Graph feed the generation of those sub-queries. Capabilities announced at I/O 2025 included Deep Search, interactively generated charts, voice and image inputs, and agentic shopping and booking features.
Why it matters in 2026
The query fan-out mechanism means that content no longer competes only for a single exact query, but for the entire cloud of thematic sub-queries that the agent can generate from the user's original intent. An article that covers a topic in depth has a greater probability of being retrieved in one of those sub-queries than an article optimised for a single keyword with limited thematic context.
Patent US20240329934A1, relating to the underlying thematic search, and patent US20240289407A1 ("Search with Stateful Chat") document the technical architecture of this approach. Analysis of those patents published in Search Engine Land (2025) confirms that the model rewards broad thematic coverage and entity authority over keyword density.
How it works
- The user enters a query in the AI Mode tab of Google Search.
- Gemini 2.0 analyses the query and generates multiple related semantic sub-queries.
- Each sub-query is executed in parallel against Google's index and Knowledge Graph.
- Results from all sub-queries are aggregated and synthesised into a cohesive response.
- Sources used are presented with direct links to the original pages.
- The user can ask follow-up questions, which trigger new fan-out cycles.
Difference from AI Overviews and classic search
| Dimension | Classic search | AI Overviews | AI Mode |
|---|---|---|---|
| Interface | List of links (SERP) | Block within standard SERP | Independent conversational tab |
| Model | RankBrain / MUM (ranking) | Gemini (RAG) | Gemini 2.0 (RAG + fan-out) |
| Queries processed | 1 literal query | 1 query with RAG | Multiple parallel sub-queries |
| Follow-up support | No | No | Yes, conversational |
| Response depth | Snippets and links | Summary + sources | Deep reasoning + Deep Search |
Related terms
Google AI Overviews, Answer Engine Optimisation (AEO), Generative Engine Optimisation (GEO).
Fuentes
Términos relacionados
- ai-overview
- aeo-answer-engine-optimization
- geo-generative-engine-optimization