How to Switch from ChatGPT to Gemini (Without Losing Anything!)

How to Switch from ChatGPT to Gemini (Without Losing Anything!)

🎙 The AI Advantage 👥 480K 📅 March 17, 2026 ⏱ 10 min 👁 15K 📄 tutorial 🧭 2026-09-08
Available in: English (current) Français

Keywords

ChatGPTGeminimigrationcustom instructionsGems

Summary

The video is a tutorial by Igor from The AI Advantage, demonstrating how to transfer context and features from ChatGPT to Google’s Gemini. It covers copying custom instructions and memories, transferring GPTs and projects by creating Gems, and handling chats. The author acknowledges that a full one-to-one transfer is impossible, especially for chats, and offers practical workarounds. He recommends building context in a transferable format (e.g., markdown files) for future flexibility. The tutorial is based on personal experience and is aimed at users considering a switch. It highlights Gemini’s unique features like enhanced tools and deep research as potential benefits. The video includes a brief sponsor segment and encourages subscription.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides actionable, step-by-step instructions for migrating from ChatGPT to Gemini, based on the author’s direct experience. It clearly explains the limitations (e.g., no project equivalent, no chat import) and offers workarounds. The argumentation is practical and honest, acknowledging trade-offs. The author’s expertise is evident, and the advice is generally sound, though it lacks external validation.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on the author’s personal experience, not a scientific study. It does not cite official documentation or independent sources, relying on the author’s claims. The title accurately describes the content. The video includes a brief sponsor segment (approximately 30 seconds) that is clearly separated. The author’s credibility is moderate, as he is a known AI content creator, but the lack of citations reduces the scientific rigor.

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Title / Content Match

The title accurately reflects the content: a practical guide to migrating from ChatGPT to Gemini, with a focus on preserving context and features.

Quality & Reliability

7/10

The video provides a practical, step-by-step tutorial based on the author's direct experience. It is transparent about limitations and offers workarounds. However, it lacks citations to official documentation or independent verification, and some claims (e.g., about features) may become outdated.

Chapters

Cited Sources

  • ChatGPT — Official ChatGPT platform, referenced as the source of data to transfer.
  • Gemini — Official Gemini platform, the destination for the migration.
  • How-To Save Time With AI — Promotional link for the author's course, mentioned in the description.

Concurring Sources

  • Gemini official documentation — Official documentation for Gemini features, supporting the tutorial's claims.
  • ChatGPT data export — Official guide on exporting ChatGPT data, aligning with the video's advice.

Dissenting Sources

  • No direct discordant sources found — The video's claims are based on personal experience and are not contradicted by official sources, but they lack independent verification.

Contribution & Novelties

The video offers a practical, step-by-step guide for migrating from ChatGPT to Gemini, addressing a common user need. It provides specific workarounds for transferring custom instructions, memories, GPTs, and projects, and highlights Gemini’s unique features like enhanced tools and deep research. The recommendation to build context in a transferable format (e.g., markdown files) is a valuable best practice.

Pour aller plus loin :

  • Gemini official documentation — Official help for Gemini features.
  • ChatGPT data export — Official guide on exporting ChatGPT data.
  • Markdown guide — Reference for creating portable context files.

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Radar Profile

The radar profile shows a balanced performance across all dimensions, with slightly higher scores in information quantity and reliability, reflecting the tutorial's practical value and the author's experience, while technical depth and quality are moderate.

Reliability 7/10