- Brand
- Superhuman
- Category
- Productivity
- Primary Subcategory
- Collaborative Docs & Workspaces
Integration details
Description
Connects ChatGPT to your Superhuman Docs workspace, allowing it to read docs, query tables, and take actions like creating or updating rows. Use ChatGPT to search for information, manage projects, and automate workflows powered by the data in Superhuman Docs.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Collaborative Docs & Workspaces
- Secondary Subcategories
- None listed
- Brand
- Superhuman
- Access
- Account required
- First tracked
- 2026-08-19
- Tool count
- 34
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Your score is coming
ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.
What discovery looks like

Get alerts for Superhuman Docs
Get updates when Superhuman Docs’s Discoverability Score or category rank changes.
Competing in ChatGPT Collaborative Docs & Workspaces
View Category34 tools agents can invoke
Superhuman Docs ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Superhuman Docs's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Superhuman Docs alternatives on ChatGPT?
As of 2026-11-02, Superhuman Docs competes with Abilitya Assistant, Accelflow Space, ArtifactBridge, AttachPage, Caipi, Clinked, Coda, Descry and 17 more in ChatGPT Collaborative Docs & Workspaces, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.