Google is changing the way we interact with search. With the recent launch Gemini 2.5 Pro,,,,, In-depth searchand there is a powerful new one Agent FunctionGoogle is making its search engine smarter, more interactive, and more contextual. These features are currently limited to US usersbut they mark a huge change in the way Google search integrates with cutting-edge AI, which brings it closer to becoming a mature reasoning assistant.
Let’s break down what new things and why it matters.
Gemini 2.5 Pro is now integrated into AI mode
Google’s Gemini 2.5 Proone of its most powerful large language models (LLMS) is now embedded locally Search is an AI model Suitable for having Pro or Ultra subscription. This brings highly contextual, accurate and interpretable answers directly into your search bar.
Key Features:
- Step-by-step reasoning of complex mathematics
Ask a calculus question, Gemini breaks it down, showing all the works – compared to Wolframalpha, but with dialogue. - Structural answers quoted
For research queries, AI returns well-organized results through the Learn More link, summarizing data from reputable sources. - Model switching is pulled down
Users can switch between different model advantages based on the complexity of their tasks (a great for students, professionals, and researchers).
This move essentially embeds highly functional AI assistants into each search query without switching to bard or chatgpt.
In-depth search: Google’s proxy Web Explorer
It’s the most exciting update. In-depth search By using Semantic reasoning and Agent Exploration.
What makes in-depth search unique?
Deep search using Gemini under the hood Re-engineering inquiries wiselyextension intention, and Traveling through multiple layers of content. Now it not only lists the top page with matching keywords, it also tries to answer yours Practical Problems go through:
- Surface Insights from long material content
- understand Contextual Relationship Between topics
- Fusion of real-time network results with model inference
It is ideal for querying:
- “How do I start a business in California as a non-citizen?”
- “What is the safest intermittent fasting schedule for women over 40?”
- “Compare carbon capture vs. direct air capture technology”
These are not simple questions, they require cross-references, inferences, and latest reasoning, which is where the deep search is.
Google interprets it as a bridge between “factual search” and “exploratory synthesis”, effectively bringing search from reactive to Proactive.
Glimpse Google’s proxy future
Under these upgrades is a broader shift: Google is Transition to the proxy search framework.
This means:
- Context-aware proxy Understand your intentions, history, and constraints.
- Search can Maintain continuity In meetings or perfect results, based on previous queries.
- Exquisite dialogue Just like chatting with a research assistant, you can “continue to thread” and dive deeper.
This proxy capability has not been fully launched yet, but is clearly being tested Gemini Pro’s reasoning task and Dynamic query extension for deep search.
Think of it this way: internal search is no longer a chatbot, it is becoming a clever task companion.
Now, these functions are Only for US users And need to choose Search Generation Experience (SGE) and Gemini professionals Subscription layer.
in conclusion
With Gemini 2.5 Pro, deep search and some signs, proxy automation, Google Search is developing from a passive result engine to an active reasoning tool. While still in its early stages, this upgrade will target Google to redefine how users find, interpret and take information.
For professionals, students and knowledge workers, this means less time to sieving and more time to synthesis. For the AI industry as a whole, it marks an increasing convergence between the underlying model and everyday digital tools.
Asif Razzaq is CEO of Marktechpost Media Inc. As a visionary entrepreneur and engineer, ASIF is committed to harnessing the potential of artificial intelligence to achieve social benefits. His recent effort is to launch Marktechpost, an artificial intelligence media platform that has an in-depth coverage of machine learning and deep learning news that can sound both technically, both through technical voices and be understood by a wide audience. The platform has over 2 million views per month, demonstrating its popularity among its audience.
