Google is transforming how we interact with Search. With the recent rollout of Gemini 2.5 Pro, Deep Search, and a powerful new agentic feature, Google is making its search engine smarter, more interactive, and vastly more contextual. These features are currently limited to US users, but they mark a massive shift in how Google Search integrates with cutting-edge AI—pushing it closer to becoming a full-fledged reasoning assistant.
Let’s break down what’s new and why it matters.
Gemini 2.5 Pro Now Integrated into AI Mode
Google’s Gemini 2.5 Pro, one of its most capable large language models (LLMs), is now natively embedded within Search’s AI Mode for users with a Pro or Ultra subscription. This brings highly contextual, accurate, and explainable answers right into your search bar.
Key features:
- Step-by-step reasoning for complex math
Ask it a calculus problem, and Gemini breaks it down, showing all the work—similar to WolframAlpha, but conversational. - Structured answers with citations
For research queries, the AI returns well-organized results with “learn more” links, summarizing data from reputable sources. - Model switching via dropdown
Users can toggle between different model strengths depending on the complexity of their task—great for students, professionals, and researchers.
This move essentially embeds a high-functioning AI assistant into every search query—without needing to switch to Bard or ChatGPT.
Deep Search: Google’s Agentic Web Explorer
Arguably the most exciting update, Deep Search enhances traditional keyword-based search with semantic reasoning and agentic exploration.
What makes Deep Search different?
Deep Search uses Gemini under the hood to intelligently reformulate your query, expand on intent, and traverse multiple layers of content. Instead of just listing top pages with matching keywords, it now tries to answer your actual question by:
- Surfacing insights from long-form content
- Understanding contextual relationships between topics
- Blending real-time web results with model reasoning
It’s ideal for queries like:
- “How do I start a business in California as a non-citizen?”
- “What’s the safest intermittent fasting schedule for women over 40?”
- “Compare carbon capture vs. direct air capture technologies”
These aren’t simple questions—they require cross-referencing, inference, and up-to-date reasoning, which is exactly where Deep Search shines.
Google explains it as a bridge between “factual lookup” and “exploratory synthesis,” effectively taking search from reactive to proactive.
A Glimpse of Google’s Agentic Future
Underneath these upgrades is a broader shift: Google is transitioning toward an agentic search framework.
This means:
- Context-aware agents understand your intent, history, and constraints.
- Search can maintain continuity across sessions or refine results based on previous queries.
- Conversational refinement allows you to “continue the thread” and dive deeper, just like chatting with a research assistant.
This agentic capability isn’t fully rolled out yet, but it’s clearly being tested in Gemini Pro’s reasoning tasks and Deep Search’s dynamic query expansion.
Think of it this way: Gemini inside Search is no longer a chatbot—it’s becoming an intelligent task companion.
Right now, these features are limited to U.S.-based users and require opting into Search Generative Experience (SGE) with the Gemini Pro subscription tier.
Conclusion
With Gemini 2.5 Pro, Deep Search, and a hint of agentic automation, Google Search is evolving from a passive results engine to an active reasoning tool. While still in early stages, this upgrade positions Google to redefine how users find, interpret, and act on information.
For professionals, students, and knowledge workers, it means less time sifting and more time synthesizing. And for the AI industry at large, it signals the growing convergence between foundational models and everyday digital tools.
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.