Google AI Search & Gemini Updates

Google AI Search & Gemini Updates

Google Search AI Mode Expands to India

On June 25, 2025, Google officially rolled out its AI Search “Labs” experience in India, bringing AI-powered, context-rich answers to one of its largest user bases. Now, Indian searchers can interact with voice-enabled queries, image prompts, and text requests—powered by Gemini AI—right within the main search results. Whether it’s “best monsoon travel spots” or “healthy vegetarian recipes,” AI overviews deliver concise, human-readable guides. Learn more in Google’s official announcement.

Gemini 2.5 Pro Now Stable for Developers

After a months-long preview, Google’s high-compute Gemini 2.5 Pro model is out of beta and available via Google Cloud AI Platform. Developers gain access to advanced multimodal features—real-time code generation, image understanding, and custom fine-tuning workflows. Early adopters report up to a 30 % reduction in development cycles and noticeably improved output accuracy compared to previous Gemini releases.

On-Device Gemini Powers Robots Offline

In a move that promises to reshape robotics, DeepMind has released an optimized on-device version of its Gemini Robotics model. Robots—from warehouse pickers to agricultural drones—can now process vision and natural-language commands locally, slashing latency and ensuring uninterrupted operation even without internet connectivity. This breakthrough paves the way for more reliable, low-latency AI in mission-critical environments.

What’s Next for GEO Pulse

Stay tuned as we monitor Google’s global AI rollouts and share tactical insights on how to adapt your content and SEO strategies for each new market. Bookmark our GEO Pulse archive for daily updates.

❓ Frequently Asked Questions

Q: Which languages does Google’s India Labs support?

A: The Labs launch currently covers English and Hindi, with additional Indian languages slated for Q3 2025.

A: It’s available via the Google Cloud AI Platform with standard compute-usage billing. See the Cloud AI docs for details.

A: On-device models eliminate round-trip latency to the cloud and offer increased reliability in low-connectivity environments.

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