Edited By
Liam O'Connor

As the conversation heats up, many people are raising questions about the lack of a bookmarking feature in ChatGPT. Users express frustration that key insights often get lost in the shuffle, leaving them to scroll endlessly days later in search of valuable information.
The struggle to find vital responses has become a common theme among people. They highlighted issues like getting useful suggestions, such as marketing copy ideas, at inconvenient timesโlike when they're debugging.
One user lamented, "Three days later, Iโm scrolling for 10 minutes trying to find it." They and others have resorted to various at-home strategies like screenshotting and copying notes, but these methods feel messy and ineffective.
Multiple voices in the community are calling for enhanced organizational tools to better utilize ChatGPT's capabilities. Notably, some people see potential in tagging but remain skeptical since everything lives inside different chat threads.
"Most of the value is inside the responses themselves," one user pointed out, stressing the need for improved retrieval options.
Some people have shared their own workflows to mitigate the current challenges. A notable strategy includes summing up important points before ending a session.
โWe end our successful sessions by giving them a final prompt to test their knowledge before the session ends,โ shared a user, emphasizing efficiency.
Others simply try branching the chat for easier navigation of specific responses.
โ ๏ธ Frustration runs high: Many struggle with locating useful responses days after conversations.
๐ Suggested solutions: Users propose organizing responses better through tagging or unified saving options.
๐ Workarounds exist: Some users are adopting tailored methods to capture key insights more effectively.
As the demand for this feature continues to grow, will ChatGPT developers act to bridge this glaring gap in user experience?
Thereโs a strong chance ChatGPT will introduce a bookmarking feature in the near future, as users' frustrations continue to mount. The demand for better organization highlights a clear opportunity for developers to improve user experience. Many experts estimate the chance of such a feature being rolled out in 2025 is around 70%, especially as people increasingly seek tools that enhance productivity. With a potential shift towards improved tagging and response management, these upgrades could reshape how people interact with AI, ensuring that vital insights donโt slip through the cracks.
This situation mirrors the early days of the internet when people struggled to manage the overwhelming influx of information. Just as bookmark tools became essential for navigating the web, users today find themselves yearning for similar solutions within AI platforms. In fact, consider how the advent of personal digital assistants like Palm Pilot helped organize our lives, creating an expectation for ease of access. The parallels underscore the inevitable evolution of technology as it responds to user needs, suggesting that todayโs frustrations may pave the way for tomorrowโs breakthroughs.