Scibly vs. ChatGPT. ChatGPT looks through your tools when you ask. Scibly keeps what your team knows, and brings it into ChatGPT.
Two different approaches. ChatGPT is a tool your team works in. Scibly adds a knowledge layer to the tools you already have, working in the background.
How ChatGPT works
ChatGPT Business and Enterprise give your team a shared ChatGPT workspace. Through apps such as Google Drive, SharePoint, Slack and GitHub, ChatGPT reads your tools, and the Company Knowledge plugin answers from all of them with source links, within each person's permissions. Shared projects keep chats, files and instructions for a group, the Meetings plugin takes notes on the Mac without a bot, and workspace agents run repeatable tasks across your apps. Admins can also connect their own MCP servers.
How Scibly works
Scibly adds one central knowledge layer to the tools you already use. In the background, it brings together what's in documents, meetings and your people's experience, and links every piece of information to its source. Your team's AI tools can draw on this knowledge, always within each person's access rights. And because Scibly captures knowledge across the whole company, it also shows when important know-how sits with only one person.
Searched at every question, or known in advance. ChatGPT looks for the answer in your tools each time someone asks. Scibly has read and linked them before anyone asks.
ChatGPT, at every question
Scibly, before anyone asks
- The model has to guess which tools to search. If it skips the right one, so does the answer.Every connected source is read once and kept current, so no tool is left out.
- Each answer is only as good as the search inside Jira, Slack or Confluence, and the model sees only its top hits.The answer draws on facts already taken from every document, meeting and Interview.
- What belongs together stays apart: the ticket, the Slack thread and the meeting that decided it.People, topics and facts are linked across tools, so the answer tells the whole story.
- Every question starts from zero. Nothing found for the last one is kept.The knowledge grows with every source, and when something changes, the new state counts.
Already paying for ChatGPT? Scibly plugs into it.
Scibly doesn't replace ChatGPT. On Business and Enterprise, a workspace admin adds Scibly as a custom MCP server under Plugins, tests it and publishes it for the workspace. On Enterprise, admins can also let selected members add it and choose who may use it. Your team then reaches Scibly with an @ mention, in projects and in workspace agents, and Company Knowledge can draw on it next to your other apps, with a source for every statement and within each person's access rights.
What Scibly does differently. Four differences your team will notice in its first weeks.
01One knowledge base, built once
Company Knowledge looks through your connected apps when someone asks. Shared projects hold only what someone added by hand, and meeting notes stay private pages until their owner shares them. Scibly turns documents, meetings and Interviews into facts linked to people and topics, each with its source. When something changes, the new state counts.
02Knowledge that isn't written down anywhere
ChatGPT works with what already exists: connected apps, uploaded files and past chats. Its memory belongs to each user and isn't shared with teammates. Scibly holds short Interviews with your experts to capture what was never written down, and makes the answers available to the whole team, with the expert kept as the source.
03Knowledge on one person
ChatGPT doesn't show who holds which knowledge. Scibly shows which topics depend on a single person, and how much your team relies on them. So you can hand that knowledge on before someone changes teams or leaves.
04Not tied to one AI vendor
Company Knowledge, projects and memory live inside ChatGPT. Your developers may also work in Claude Code, Cursor or Copilot. Scibly serves the same knowledge to all of them over MCP, ChatGPT included, so your team can switch or mix AI tools without losing what it knows.
The key differences at a glance
| Scibly |  ChatGPT | |
|---|---|---|
| Knowledge sources | Your tools, meetings and experts | Connected apps, files, shared projects and meeting notes |
| Works in every AI tool | Claude, ChatGPT, Copilot, Cursor and Gemini over MCP | Company knowledge is used inside ChatGPT |
| Captures what your experts know | Makes undocumented knowledge accessible | Memory is personal to each user |
| Makes knowledge risks visible | Before important knowledge leaves the company | No |
| Connects your company's knowledge | People, topics and facts, each with its source | Searches connected apps when asked |
| Access rights | Carried over from your tools | Carried over from your tools |
| Getting started | A pilot with one team | Self-serve Business plan from $20 per seat a month |
| Hosting | EU | OpenAI's cloud, EU data residency on Enterprise only |
Scibly is a strong fit if…
- your team's know-how lives in Slack threads, tickets and a few people's heads, not in the docs.
- you want to see which systems only one person really knows, before they switch teams or leave.
- your team already works with Claude, Cursor, ChatGPT or Copilot and doesn't want another platform.
- every answer your AI gives should name its source, so anyone can check it.
As of 8 November 2026, from what ChatGPT publishes.
Sources:ChatGPT BusinessChatGPT Business and Enterprise pricingCompany Knowledge in ChatGPTConnecting custom MCP servers in ChatGPTConnected apps in ChatGPTProjects in ChatGPTMeetings pluginWorkspace agentsSpace in ChatGPTChatGPT data residency
