sharegpt.com

ShareGPT is no longer a viable option: its own site states that it is deprecated and directs users to OpenAI's built-in sharing instead. If you used ShareGPT to publish ChatGPT conversations, the practical path now is ChatGPT's native share feature. The comparison below reflects what ShareGPT was, what replaced it, and what to check before you migrate.

The core difference

The mechanism is the main shift. ShareGPT worked as an overlay: you installed a Chrome extension, and it added a one-click way to publish a conversation from the ChatGPT interface. OpenAI's built-in sharing is part of the product itself, so there is nothing to install and no third party between you and the shared link.

Why ShareGPT was retired

The source page is direct about this: ShareGPT is deprecated, and the message thanks users who shared more than 438,000 conversations through it. No reason for the deprecation is given beyond the recommendation to use OpenAI's built-in sharing.

What you can reasonably conclude is that the official feature made the extension redundant. When the platform itself offers sharing, an extension that does the same thing adds a dependency without adding capability — and it carries the usual risks of any third-party tool that touches your conversation data.

What this means if you were a ShareGPT user

Your decision is straightforward, but a few things are worth checking rather than assuming:

• Existing ShareGPT links. The deprecation notice does not say whether previously shared links still resolve. If you have ShareGPT links embedded in documents, posts, or messages, verify they still load before relying on them.
• Re-share what matters. For conversations you still need public, re-share them through ChatGPT's built-in sharing so the link comes from the current, supported path.
• Remove the extension. Since it no longer serves its purpose, uninstalling it reduces the number of third-party tools with access to your sessions.
• Check privacy controls on the new link. The source page does not document ShareGPT's or OpenAI's privacy settings, so review what a shared link exposes before you send it to anyone.

How to choose

There is no real trade-off to weigh here. ShareGPT is deprecated and its own maintainers point to OpenAI's built-in sharing, so the built-in option is the only supported choice. The one situation where you might still encounter ShareGPT is through an old link or an extension you forgot was installed — in both cases, the fix is to move to the native feature.

If your goal is simply to share a ChatGPT conversation with someone, use ChatGPT's built-in sharing and skip the extension entirely.

An Amazon seller browser extension is a small piece of software that runs inside Chrome, Edge, or Firefox and adds information or shortcuts directly onto Amazon pages you already visit. In practice, it can overlay demand and competition data on a product page, pull quick numbers while you browse a niche, flag missing or weak listing elements, and save you from switching between tabs. What it cannot do is replace a full listing engineering or growth platform: extensions are lightweight, page-level helpers, while serious listing work — keyword architecture, AI-readiness, bulk optimization, and performance tracking over time — needs a dedicated toolset. The useful question is not "extension or platform" but "which jobs belong to each."

What a browser extension typically does well

Most seller extensions cluster around a few repeatable, on-page tasks. If your workflow involves a lot of browsing, these are where the time savings are real.

On-page data overlays

While you're on a product detail page, the extension can display estimated sales, revenue, review velocity, seller count, and price history in a panel next to the listing. This turns "open a separate research tab and paste the ASIN" into "read the number where you already are." For quick sanity checks on a competitor or a potential product, that's a genuine speed gain.

Quick product and niche research

Extensions often let you scan a search results page and see metrics for every listing at once, or export a batch of ASINs. This is useful for early filtering: you can spot which results have thin review counts, unstable pricing, or a dominant seller, and decide which few are worth deeper analysis.

Listing checks and basic audits

Some extensions highlight on-page elements — title length, bullet presence, image count, whether A+ content appears, whether key fields look empty. This is a fast visual audit, not a scoring system. It tells you what's there, not whether your listing is engineered to match how Amazon discovery works now.

Convenience features

Coupon and deal finders, price-drop alerts, review-request shortcuts, and quick links to seller tools fall into this bucket. They're small quality-of-life wins rather than strategy.

Where extensions fall short

This is the part sellers most often underestimate. An extension sees the page in front of you; it doesn't hold your catalog, your history, or your strategy.

The pattern: extensions are read-and-react tools for pages you're already on. Platforms are build-and-manage tools for your own catalog. If your bottleneck is "I need to know if this niche is worth entering," an extension helps. If your bottleneck is "my listings aren't converting or aren't being surfaced the way Amazon discovery now works," an extension won't fix that — you need listing engineering, not a data overlay.

Scenarios: when an extension earns its place

• Early product research. You're scanning dozens of search pages a day. An overlay that shows demand and competition inline saves hours of tab-switching. Worth it.
• Competitor spot-checks. You want a fast read on a rival's pricing and review momentum before a pricing decision. An extension gives you that in seconds.
• Quick listing sanity checks. You're about to publish and want to confirm images, bullets, and title are all present. A visual audit extension is handy.
• Ongoing listing optimization. You need to align titles, bullets, and backend terms with how Amazon's discovery systems interpret intent, and to keep that consistent across a catalog. This is platform territory — an extension can't hold or apply that structure.
• Scaling a catalog. Once you're managing many ASINs, bulk operations, version history, and team access matter more than any single-page overlay.

What to check before installing any extension

Extensions can read the pages you visit, and some request broad permissions. Before you install:

1. Read the permission list. Does it need access to all sites, or only Amazon domains? Broader access than the job requires is a yellow flag.
2. Check what data leaves your browser. Does it send your browsing or seller data to a server? Is that disclosed?
3. Confirm the vendor. Prefer extensions from established sellers/tool providers with a real product behind them, not anonymous one-off add-ons.
4. Test on a non-critical account first. If it touches your Seller Central session, verify behavior before relying on it.
5. Know the exit. Can you disable it cleanly, and does uninstalling remove stored data?

How to decide if it fits your stage

Ask three questions:

• Is my main pain "I browse a lot and want data inline"? An extension is likely worth it.
• Is my main pain "my listings underperform and I need to engineer them properly"? Skip the extension-first mindset; look at a listing/growth platform.
• Am I managing more than a handful of ASINs? You'll outgrow page-level tools quickly; extensions become a supplement, not the system.

A practical setup for many sellers is both: an extension for fast on-page research, and a dedicated platform for the listing work that actually moves rankings and conversion. ZonGuru, for example, positions its toolset around listing engineering and AI-readiness rather than page overlays — the kind of work an extension structurally can't do. If you want to see where a full platform picks up, its pricing page outlines the options, and there's a free trial to test the workflow before committing.

The short version: a browser extension is a fast, cheap way to see more while you browse. It is not a listing strategy. Use it for the browsing jobs, and bring in a real platform for the engineering jobs — that division is what keeps your time and your listings both working.

No — ShareGPT is no longer a tool you should plan to use. The site itself now states: "ShareGPT is deprecated. Please use OpenAI's built-in sharing instead." The same notice thanks users who shared over 438,000 conversations through the extension. So if you arrived looking for a one-click way to publish a ChatGPT conversation, the practical answer is to use ChatGPT's own sharing feature rather than installing or relying on ShareGPT.

What the deprecation notice actually tells you

The message on sharegpt.com is short and specific, which makes it easy to act on:

• Status: deprecated — the project is retired, not merely paused or rebranded.
• Recommended replacement: OpenAI's built-in sharing.
• Historical scale: more than 438,000 conversations were shared through it before retirement.

What the notice does not say matters too. It gives no migration instructions, no statement about whether previously created ShareGPT links still resolve, and no timeline. If you have old ShareGPT links embedded in documents, posts, or messages, treat their availability as unconfirmed and verify each one before depending on it.

Why the built-in option replaced it

ShareGPT worked as a Chrome extension layered on top of ChatGPT: you had a conversation open, clicked the extension, and it produced a shareable page. That approach depended on a third-party service staying online and on the ChatGPT interface continuing to expose what the extension needed.

OpenAI's built-in sharing moves that function inside the product. For most people the trade is straightforward — one less extension to install and maintain, and sharing handled by the same service that hosts the conversation. The cost is that you no longer control the sharing experience independently of ChatGPT's own interface and settings.

How to share a conversation now

The general workflow, using ChatGPT's own interface:

1. Open the conversation you want to share in ChatGPT.
2. Use the share option in that conversation's interface to generate a link.
3. Copy the link and send it to whoever needs it.
4. Check how the link behaves for a recipient — in particular whether it is publicly viewable or restricted — before posting it somewhere permanent.

The expected result is a URL that opens the conversation for someone without access to your account. The exact menu location and the available visibility settings change as ChatGPT's interface evolves, so confirm them in your own session rather than following a fixed set of clicks.

Common snags to watch for:

• Visibility defaults. A link that works for you may be more or less open than you assume. Verify from a logged-out browser before sharing widely.
• Deleted or edited conversations. If you later delete or substantially edit the conversation, the shared link may stop showing what you originally sent.
• Old ShareGPT links. These are the ones most likely to have broken. If a link matters, open it now and keep a local copy of the content.

If you still have ShareGPT links or content

The deprecation notice doesn't promise anything about existing shares, so the safe move is to assume they may not last:

• Open each link you care about and save the conversation text somewhere you control.
• Replace ShareGPT links in published material with either a built-in ChatGPT share link or an archived copy.
• Don't build new workflows that assume ShareGPT will respond.

Bottom line

ShareGPT is deprecated and its own site points users to OpenAI's built-in sharing. Use ChatGPT's native share feature for new shares, and treat any existing ShareGPT links as unverified until you've checked them and saved the content you need.

ShareGPT was a Chrome extension that let you share a ChatGPT conversation with one click. It is now deprecated: the site itself states that ShareGPT is no longer supported and directs users to OpenAI's built-in sharing instead. If you came across ShareGPT and want to know whether to install it, the short answer is no — use ChatGPT's own share feature. The rest of this page explains what ShareGPT did, why it mattered, and what to do now.

What ShareGPT did

ShareGPT solved a small but real problem: ChatGPT conversations lived inside your account, and there was no simple way to send one to someone else.

The extension added a sharing action to the ChatGPT interface. Clicking it produced a public link to the conversation, which you could post anywhere — a forum, a chat, a document. The site reports that users shared over 438,000 conversations through it, which gives a sense of how common the need was.

In practice, a typical use looked like this:

• You have a long ChatGPT thread where you debugged a script or worked through an argument.
• You want a colleague to see the whole exchange, not a screenshot or a copy-paste.
• You click the ShareGPT action, get a link, and send it.

The value was in the link, not the extension itself. Screenshots lose the text, and copy-paste loses the formatting and the back-and-forth structure.

Why it stopped working

The page's own notice is unambiguous: ShareGPT is deprecated, and the recommended replacement is OpenAI's built-in sharing. The message also thanks the people who used it to share those 438,000+ conversations, which reads as a shutdown notice rather than a temporary outage.

The underlying reason is straightforward. ShareGPT existed because ChatGPT lacked native sharing. Once OpenAI added sharing as a built-in feature, a third-party extension doing the same job had little reason to continue — and a third-party tool that depends on another company's interface is fragile by design. When that interface changes, the extension breaks.

What to use instead

Use the sharing feature inside ChatGPT itself. The general flow:

1. Open the conversation you want to share.
2. Look for the share control in the conversation's interface.
3. Generate the link and copy it.
4. Send the link to whoever needs it.

Expected result: a public URL that opens the conversation for anyone with the link.

Common snags to expect:

• Shared links are typically public to anyone who has them, so check the conversation for anything you would not want exposed — names, keys, internal details.
• You may be able to revoke or delete a shared link later; check the current options in your ChatGPT account rather than assuming.
• The exact menu location and wording change as ChatGPT is updated, so follow what you see in your own interface rather than a fixed set of clicks.

Should you still install ShareGPT?

No. The site says it is deprecated and points elsewhere. Installing a deprecated extension that hooks into ChatGPT means you are relying on code that is no longer maintained against an interface that keeps changing — the failure mode is silent breakage, and you gain nothing over the built-in option.

The only reason to care about ShareGPT now is historical or archival: if you are looking for a conversation that was shared through it, or you are researching how ChatGPT sharing evolved. For actually sharing a conversation today, the built-in feature is the supported path.

Sharing a ChatGPT conversation means the content leaves your private chat and becomes viewable by anyone who has the link, so treat every share as a potential public post. That applies whether you use OpenAI's built-in sharing or a third-party tool. ShareGPT, the Chrome extension that popularized one-click sharing, is now deprecated: its site states, "ShareGPT is deprecated. Please use OpenAI's built-in sharing instead," and thanks users for sharing over 438,000 conversations. If you're still deciding how to share, the practical question is no longer which tool exists but what each method exposes and who controls it.

The core privacy trade-off

A shared conversation is a snapshot of text, not a private message. Once a link exists, you generally can't control who forwards it, screenshots it, or feeds it into another system. Two variables matter most:

• Visibility: who can open the link (anyone with the URL vs. a restricted audience).
• Control: who can revoke or change the share later, and whether the content passes through a third party.

How the two approaches differ

The key distinction is the middleman. With built-in sharing, your conversation isn't routed through an outside company's servers. With a third-party extension, the conversation is transmitted to that service to generate the shareable page — meaning an additional party handles your data, under their own terms.

What to check before you share

Run through this list on the actual conversation text, not from memory:

1. Personal identifiers — names, email addresses, phone numbers, account numbers, addresses.
2. Credentials and secrets — API keys, passwords, tokens, internal URLs.
3. Third-party content — anything about other people who didn't consent to being shared.
4. Work or client material — confidential documents, code, or business details pasted into the chat.
5. Metadata and context — custom instructions or system prompts that may reveal more than the visible messages.

If any item is present, redact it in a copy before sharing rather than sharing the original thread.

Practical guidance

• Prefer OpenAI's built-in sharing over deprecated or unfamiliar third-party tools, since the platform itself manages the privacy settings.
• Assume any shared link can become permanent and public; don't share what you wouldn't post openly.
• If you must use a third-party tool, read what it does with your data before connecting it, and check whether you can delete the shared copy afterward.
• When in doubt, summarize the conversation in a new message instead of sharing the raw thread.

The short version: sharing is publishing. Choose the method that keeps the fewest parties between you and your data, and scrub sensitive content before the link exists.