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# Share your report

How to publish a report to a public link anyone can open, and how the shared page relates to the report you see in the console.


Your report lives in the console behind sign-in, but the whole point of a gap report is that you can hand it to someone : a teammate, an exec, a prospect. Publishing a report gives it a public URL that opens for anyone with the link, no account required.

You publish from **Benchmarks → Reports** in the [console](https://app.knitknot.ai).

## Publish a report

Open the report you want to share and mark it published. That flips on a public page served from your workspace's hosted domain:

https://{your-workspace}.knitknot.io/reports/{report-slug}

Anyone with that link can read it. Until a report is published, the link is inactive : publishing is the switch that makes it public, so nothing is shared by accident.

## Console report vs. public report

Both views render from the same underlying benchmark data with the same components, so what a reader sees matches what you see:

  • - **Console report** : the authenticated dashboard. This is where you configure the report, drill into the answers behind every number, and manage issues and playbooks.
  • - **Public report** : the read-only page at your `.knitknot.io` link. **Brief** contains the decision-ready report; **Evidence** contains answer, competitor, source, topic, and methodology drill-downs. The nested URLs preserve report and subject scope when readers refresh or share a drill-down.

The public page assembles fresh from your data, so it reflects the report as configured. When you edit a published report, the public page updates to match.

## What to share, and with whom

A published report is public to anyone who has the link : treat the URL as the access control. It's the right artifact for a prospect ("here's exactly how AI represents you today") or an internal stakeholder who doesn't need a console seat. For anything you're still cleaning up, keep it unpublished until it's ready.

Next: connect KnitKnot to your own AI tools with the [MCP integration](/docs/connect-to-ai-tools/), or revisit [issues and playbooks](/docs/issues-and-playbooks/) to act on what the report surfaced.

Raw mirror of this content: https://knitknot.ai/docs/share-your-report.md. Site-wide summary: /llms.txt · full content: /llms-full.txt

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Share your report

How to publish a report to a public link anyone can open, and how the shared page relates to the report you see in the console.

Updated

Your report lives in the console behind sign-in, but the whole point of a gap report is that you can hand it to someone : a teammate, an exec, a prospect. Publishing a report gives it a public URL that opens for anyone with the link, no account required.

You publish from Benchmarks → Reports in the console.

Publish a report

Open the report you want to share and mark it published. That flips on a public page served from your workspace’s hosted domain:

https://{your-workspace}.knitknot.io/reports/{report-slug}

Anyone with that link can read it. Until a report is published, the link is inactive : publishing is the switch that makes it public, so nothing is shared by accident.

Console report vs. public report

Both views render from the same underlying benchmark data with the same components, so what a reader sees matches what you see:

  • Console report : the authenticated dashboard. This is where you configure the report, drill into the answers behind every number, and manage issues and playbooks.
  • Public report : the read-only page at your .knitknot.io link. Brief contains the decision-ready report; Evidence contains answer, competitor, source, topic, and methodology drill-downs. The nested URLs preserve report and subject scope when readers refresh or share a drill-down.

The public page assembles fresh from your data, so it reflects the report as configured. When you edit a published report, the public page updates to match.

What to share, and with whom

A published report is public to anyone who has the link : treat the URL as the access control. It’s the right artifact for a prospect (“here’s exactly how AI represents you today”) or an internal stakeholder who doesn’t need a console seat. For anything you’re still cleaning up, keep it unpublished until it’s ready.

Next: connect KnitKnot to your own AI tools with the MCP integration, or revisit issues and playbooks to act on what the report surfaced.