Context Link

Context Link keeps your separate sources in sync as a single searchable layer. Notion, Google Docs, websites, inboxes, files, and project tools are indexed together, so you search all of them in one pass. That saves you from opening one connector per app just to find an answer. One search. Every source.

The tool plugs into ChatGPT, Claude, and any MCP-aware agent, so you don't switch tools to get your company context. You ask questions in the same chat you already use, and Context Link supplies the background it needs. Each response is grounded in your latest content rather than the model's memory. No new chat app. No copy-paste.

Context Link retrieves material by meaning, which helps when you can't recall the exact wording. Ask about "customer pain" and it can surface a complaint thread you never labeled that way. Think of it less as a keyword box and more as a semantic search tool for your own business. This is the core difference from single-app connectors that only match on keywords.

You can save a finished decision as a Memory, and every AI tool reads the latest version of it. That keeps a rolling record of what your team has already agreed on. It's useful when the same question keeps coming back. Answer it once, and every tool stays current. Save it once, and the next teammate who asks gets the same settled answer instead of reopening a debate your team already finished.

Every answer shows its working, listing the exact sources behind it. You can verify a claim instead of trusting it blindly. That matters when the answer drives a real decision. Want to check a number before you quote it in a meeting? The citations are right there, and they tell you exactly which connected source the answer came from. Citations also make it easier to spot when your sources are out of date.

Sources refresh every 24 hours, so AI reads what your business says today. That's more current than a one-time snapshot from months ago. Same-day edits might not appear until the next sync. Small delay, real upside.

Beyond pre-built connectors, you can build your own using the Custom Connections API or the ready-made skill. A model fetches data from any reachable service, converts it to markdown, and pushes it in. From there Context Link handles chunking, embeddings, and search, with quotas of 1,000 posts and 100MB per connection. If Claude can read a service, you can push it into Context Link, which means the practical limit on what your AI can reach is less about the tool's built-in list and more about what your own scripts or agents can pull down.

Connections are organisation-wide by default, letting teammates search the synced content, with a personal scope option for private items. The creator is recorded, so org connections stay controlled. Some sources are for everyone. Others aren't. Pick the scope that fits.