Gemini Import: Ditch ChatGPT Now
Switch to Gemini effortlessly: Import your ChatGPT chats and keep all context.
2 feb 2026 (Aggiornato il 16 feb 2026) - Scritto da Lorenzo Pellegrini
Source: Google.
Lorenzo Pellegrini
2 feb 2026 (Aggiornato il 16 feb 2026)
Google Tests Gemini Tool to Import ChatGPT Conversations: A Game-Changer in AI Rivalry
In a bold move to challenge OpenAI's dominance, Google is testing a Gemini feature that lets users seamlessly import their ChatGPT conversations. This tool could shift loyalties in the AI landscape, making it easier for millions to switch to Google's ecosystem while intensifying the rivalry between these two powerhouses.
What the Gemini Import Tool Means for Users
Google's experimental feature aims to bridge the gap between platforms by allowing direct transfer of chat histories from ChatGPT into Gemini. Users frustrated with one service can now migrate their personalized threads, custom prompts, and ongoing projects without starting from scratch. This addresses a key pain point in AI adoption, where context and memory are crucial for productivity.
Imagine pulling your detailed research notes, coding sessions, or creative brainstorming from ChatGPT straight into Gemini's interface. Early tests suggest the tool preserves conversation structure, including multimodal elements like images and voice notes, enhancing continuity across Google's integrated apps such as Gmail, Docs, and Android.
Why Google Is Pushing This Feature Now
The timing aligns with shifting market dynamics. ChatGPT's daily visits have declined by about 22 percent recently, while Gemini's usage surges thanks to its embedding in Android devices, Google Search, and Workspace tools. With over 3 billion Android users, Google leverages its distribution superpower to make Gemini the default choice.
- Gemini's real-time access to Google Search provides fresher data, with a knowledge cutoff into 2025 compared to ChatGPT's earlier limits.
- A massive 2 million token context window handles entire documents or codebases in one go, outpacing ChatGPT's capabilities.
- Deep ecosystem ties enable ambient AI assistance, like analyzing emails or Sheets data on the fly.
How It Stacks Up: Gemini vs. ChatGPT in 2026
While ChatGPT excels in conversational flow, creative writing, and custom GPTs, Gemini leads in multimodal tasks, speed, and integration. Users can now "search with their eyes" via Google Lens on Android, processing images, videos, and voice effortlessly. Gemini's memory features, including personalized context from Gmail and Calendar, rival ChatGPT's long-term recall.
| Feature | Gemini | ChatGPT |
|---|---|---|
| Context Window | 2M tokens | 128K tokens |
| Integration | Android, Workspace, Search | Standalone app, plugins |
| Real-Time Data | Native Google access | Browsing tools |
| Multimodal Strength | Video, images, voice native | Strong but app-based |
Market share tells the story: ChatGPT dropped from 86 percent to 64 percent, while Gemini climbed to 21.5 percent, fueled by seamless access on billions of devices.
Implications for the AI Ecosystem
This import tool escalates competition, pressuring OpenAI to enhance OS integrations like those baked into iOS. It also highlights Google's strategy to embed AI everywhere, from Chrome sidebars to smart home controls, reducing the need for separate apps. Publishers face challenges as AI overviews cut traditional clicks, but citations boost visibility.
Conclusion
Google's Gemini chat import from ChatGPT signals a maturing AI rivalry where convenience wins. As features evolve, users gain more power to choose based on workflow needs rather than lock-in.
This development promises a more fluid AI experience, urging both platforms to innovate faster. Stay tuned as tests expand, potentially reshaping how we interact with intelligent assistants daily.
Google's tool to import ChatGPT conversations into Gemini simplifies migration between AI platforms, emphasizing data portability. At IntraMind, we support features like this that foster open, flexible ecosystems, enabling communities and teams to optimize workflows without lock-in, while prioritizing privacy and user control. It's a step toward more interoperable, user-centric AI.
