Bookmark or "Favorite" Chats and Individual Replies in ChatGPT

Hi OpenAI team!

As someone who uses ChatGPT extensively for deep, ongoing conversations, I’d love to request a Bookmarking or “Favorite Reply” feature. It would be even better if we could save those to folders, similar to Pinterest boards or Youtube playlists.

Sometimes, a single reply is so impactful that I want to keep it. But because these replies are buried within long, multi-topic threads, it becomes difficult (and time-consuming) to find them again or copy/paste them into a google doc each time an amazing response turns up.

Suggested functionality:

  • :star: A “bookmark” icon on individual responses.
  • :file_folder: A “Favorites” tab where all saved replies can be accessed, titled, and maybe even tagged (e.g. #wealth, #strategy, #advice).
  • :white_check_mark: Sync with the user’s account across devices (like a reading list).

This would be incredibly helpful for power users, writers, researchers, and anyone who treats ChatGPT as an interactive mentor, creative partner, or journal.

Thank you.

Yes! Late but this absolutely needs to be a feature. so often does it say something valuable and I have to copy paste it elsewhere, where I also probably lose it myself.

Preach! I’m struggling to find all the info I safekeep. It would be so much easier just to have it highlighted on GPT for quick access.

I use ChatGPT as a long-running workspace rather than starting a new chat for every topic. After a few hundred messages, even with search, it’s difficult to find particularly useful answers.

I’d love this to go beyond simple bookmarking:

  • Save individual responses or question/answer pairs.
  • Organize them into collections (e.g. Travel, Health, Coding, Shopping).
  • Preserve formatting, tables, images, citations, and maps.
  • Link back to the original conversation.
  • Allow searching across saved clips.

Hey Sue_Donhym, welcome to the forum!

 

I agree that would be a valuable addition. I'll pass this feedback along to the product team so they can review the request and decide whether it's something they'd like to implement.

 

Avinash