Google is ushering in a new era of AI-supported search with a comprehensive realignment of its search engine. The focus is on intelligent search agents, multimodal input and significantly stronger AI functions directly within Google Search. Supported by Gemini 3.5 Flash, Search is increasingly evolving from a classic search engine into a proactive digital assistant. The new functions are designed to automate complex tasks, take individual contexts into account and generate dynamic answers in real time.
- Gemini 3.5 Flash becomes the new standard model for AI Mode in Search
- New intelligent search bar supports text, images, videos and files
- AI agents monitor information and perform tasks in the background
- Dynamic mini-apps and generative interfaces directly in the search
AI Search with Gemini 3.5 Flash fundamentally changes Google Search
Google is massively expanding its AI search with the integration of Gemini 3.5 Flash. The new model will serve as the global standard AI for AI Mode in Search and is designed to work much more efficiently with complex queries, coding tasks and multimodal inputs. According to Google, over one billion people already use AI Mode every month, with search queries continuing to grow strongly.
The completely redesigned search bar is particularly striking. Instead of classic keywords, the focus is now on much more flexible interaction. Users can formulate questions in more detail and use images, files, videos or even open Chrome tabs as input in addition to text. The AI analyzes the context and dynamically suggests suitable search formulations.
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Google is clearly pursuing the goal of making search queries more dialog-oriented. Answers should no longer just consist of a list of websites, but should develop into interactive conversations. Follow-up questions can already be asked directly from AI Overviews without losing context. This results in significantly smoother research processes, especially for complex topics or longer information chains.
The stronger combination of classic web search and generative AI seems particularly plausible. While many pure AI chatbots have difficulties with current data or sources, Google combines its extensive search infrastructure with the new Gemini models. This means that traditional search results are still available, but are supplemented by contextual AI answers.
Search agents and generative mini-apps expand AI Search
Search agents are a central component of the new AI search strategy. These AI agents work continuously in the background and independently monitor information on individually defined topics. For example, users can monitor housing offers, product releases or sports news. As soon as relevant changes occur, the agent automatically provides summarized updates.
Google combines information from traditional websites, news portals, social media posts and real-time data from areas such as shopping, finance and sport. The planned addition of agent-based booking functions is particularly interesting. In future, the search function will automatically research restaurants, services or local offers and compile suitable options.
Google is also integrating generative user interfaces directly into the search function. With the help of the Antigravity platform and Gemini 3.5 Flash, Search can generate dynamic visualizations, diagrams or interactive tools in real time. As a result, the search engine is increasingly developing into a platform for small AI-generated applications.
One example is personalized dashboards or individual trackers. Users can have fitness trackers, relocation planners or project overviews created directly in Search. The AI automatically generates suitable interfaces and combines up-to-date information such as weather data, maps or ratings.
At the same time, Google is expanding Personal Intelligence. Users can connect Gmail, Google Photos and, in future, Google Calendar with Search. This allows the AI to take personal contexts into account and provide more individualized answers. Google expressly emphasizes that all links remain voluntary and under complete user control.
Conclusion
With the new AI search strategy, Google is consistently developing the classic web search further. The combination of Gemini 3.5 Flash, intelligent search agents and generative user interfaces clearly shows that search engines will do much more than just search for information in the future. In particular, the combination of real-time data, personal context and autonomous AI agents could fundamentally change the daily use of Google search. Many of the new functions are already being launched or will be rolled out gradually over the course of the summer.
