Why Canvas sharing is awkward
ChatGPT Canvas is designed for iteration inside the chat. You draft a document, an HTML page, or a code file in a side panel and refine it with ChatGPT's help. That is great for building. It is less great the moment you want someone outside ChatGPT to see the output. The Canvas itself does not have its own URL — it lives inside the conversation, and the only native share option packages the whole conversation together. Below are the realistic ways to get just the output in front of a recipient.
Option 1 — ChatGPT's built-in chat share link
ChatGPT has a "Share link" feature that generates a public URL to your conversation. The Canvas appears inline within the shared chat. This is the fastest option and requires nothing from you besides a click.
- It shares the whole conversation, not just the Canvas. The recipient sees your prompts, ChatGPT's replies, and any earlier dead-ends.
- It is a snapshot. Further edits to the Canvas after you generate the share link do not appear in the shared version. You need to re-share to update.
- No view analytics. You do not know who opened it, when, or whether they actually scrolled to the Canvas.
- Interaction requires ChatGPT. Recipients can read it without an account, but cannot fork or run the Canvas unless they sign in.
Use it when: you are sharing with someone who is comfortable in ChatGPT and the context of the chat matters (a collaborator, a teammate).
Option 2 — Copy the Canvas content into a doc or email
If the Canvas is plain text or a document, you can copy it and paste it directly into Google Docs, Notion, email, or wherever the recipient already works. This skips the link problem entirely.
For HTML or code Canvases, this falls apart. Pasting raw HTML into an email shows the markup, not the rendered page. Pasting into Google Docs strips most of the formatting. Code blocks survive in Notion, but the recipient still cannot see the result without running it.
Use it when: the Canvas is text (a draft, an outline, a memo) and the recipient just needs to read it.
Option 3 — Deploy the HTML yourself
For an HTML Canvas, copy the source, drop it into a Git repo, and push to Vercel, Netlify, Cloudflare Pages, or GitHub Pages. This gives you full control: a custom domain, your own CDN, and the ability to version the project properly.
The cost is setup. You need an account on the platform, a Git workflow, and a way to redeploy when the Canvas changes. None of these platforms ship per-recipient view tracking out of the box, so you would still add analytics yourself. For a one-off Canvas you want to send to a client tomorrow, this is more infrastructure than the task requires.
Use it when: the Canvas is part of a real project that needs its own home.
Option 4 — Paste the Canvas HTML into LiveSend
For an HTML or code Canvas you want to share as a standalone link, the workflow is: open the Canvas, copy the source, paste it into LiveSend, send the URL. The link is permanent. Every view is logged with timestamp, country, and time spent. You can add a password, set an expiration, or toggle the document off when you no longer want it public.
The honest trade-offs: there is a 3MB (6MB for Pro) cap per file (covers nearly all Canvas output), a small LiveSend watermark on the Free plan (removable on Pro), and no custom domain support yet. None of those usually matter for a Canvas being sent to clients or prospects.
Use it when: you want the link to be permanent, you want analytics, and you do not want to ship the chat or set up a deploy.
Picking the right option
Sharing with a collaborator inside ChatGPT: use the native share link. Plain text or document Canvas: paste it where the recipient already works. HTML Canvas going into a real project: deploy it. HTML Canvas going to a client, prospect, or non-technical recipient as a one-off: host it on LiveSend so the link is clean, permanent, and tracked.