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Agent Commerce8 min read5 chapters

Selling Into ChatGPT After Instant Checkout

OpenAI discontinued Instant Checkout in March 2026. What it cost, why it failed, and what to build now that discovery and checkout have split.

Cresva Team

Chapter 1Can You Still Sell Inside ChatGPT?

Not through Instant Checkout. OpenAI discontinued it in early March 2026, reported as 5 March, roughly five months after launching it on 29 September 2025. If your agent-commerce plan says integrate Instant Checkout, that plan is out of date, and a lot of published advice still says exactly that.

What has not changed is the part that was always doing the work. ChatGPT still recommends products, and being named in that recommendation is still the thing that decides whether you are in the consideration set. The purchase moving back to your own site does not reduce that; it makes the recommendation the entire mechanism rather than half of it.

The instruction that survives is discover in the assistant, buy on your site. Everything in this guide follows from that, and none of it waits on a protocol shipping.

Chapter 2What Instant Checkout Was, and What It Cost

Instant Checkout let a shopper complete a purchase inside ChatGPT rather than clicking through to the merchant. It was built on the Agentic Commerce Protocol, published by Stripe and OpenAI under Apache 2.0, and that protocol still exists independently of the surface being withdrawn.

The number that decided it for most merchants

OpenAI charged merchants an agentic fee of 4 percent per completed purchase, on top of standard payment processing of roughly 2.9 percent plus 30 cents. That is approximately 7 percent all-in before you have paid for anything else. Against a 40 percent gross margin that is a sixth of your margin; against 70 percent it is a tenth. The shopper paid nothing extra. Fee per OpenAI's own announcement of the feature and the Stripe newsroom.

That rate is worth remembering rather than forgetting, because it is the number any successor surface will be compared against. It is also not settled: the first version of this channel was withdrawn inside six months of launch, so treat a published take rate as a starting position rather than a market price.

Chapter 3Why Did It Fail?

Because it did not convert, and because shoppers who had used an assistant to research a purchase mostly still wanted to complete it on the merchant's own site. The reporting on this is consistent even where the details differ.

What was reportedFigure, and where it comes from
Merchants integrated on ShopifyAbout a dozen, per trade coverage
US adult ChatGPT users who tried it in month oneAbout 8 percent in month one, per trade coverage
In-chat checkout conversion, Walmart's measurementReported by trade coverage as roughly three times worse than a click-through to walmart.com
New-customer rate ChatGPT drove for WalmartReported by the same coverage as about double
Time from launch to withdrawalAbout five months, dated from OpenAI's own launch and discontinuation announcements

Every figure in that table is trade coverage rather than a first-party disclosure, and each cell says so rather than relying on a column heading. What the pair of Walmart numbers shows is the important part and it does not depend on the exact values: the assistant was good at introducing the brand and bad at closing inside the chat. Those pull in opposite directions, and the correct response is to keep the half that worked.

The failure was of the checkout surface, not of the channel. A measurement showing 2x new customers alongside 3x worse in-chat conversion is not an argument for leaving the channel. It is an argument for letting the assistant do discovery and letting your site do checkout.

Chapter 4What Replaces It

OpenAI's stated direction after the withdrawal was to route purchases through third-party apps inside ChatGPT rather than to operate checkout itself, with retailers keeping payment processing. That is a real difference in posture: it moves OpenAI from being the merchant of record's counterparty to being a surface that hands off.

Do not rebuild against a successor that has not shipped

As of 3 August 2026 there is no replacement in-chat checkout you can integrate. Treat any plan that depends on one as a plan with an unscheduled dependency. The protocols in this space, including ACP, remain published and open, so the specification work is not wasted, but a specification is not a surface and shipping against one that has no live implementation is how the last cycle cost merchants their integration time.

The wider landscape did not stop moving when this one surface did. Several other protocols cover adjacent parts of the same problem, and the protocol map sets out who governs each and which are actually in production.

Chapter 5What to Build Instead

Everything below works whether or not any in-chat checkout returns, which is the test a plan should pass in a market that just withdrew its flagship surface inside six months.

  1. Make sure an assistant can read you at all

    This is first because it gates everything else. Six of the 72 DTC brands in our public registry answer every request with an error rather than a storefront, from a crawler user agent and a desktop browser user agent alike. Nothing in their own analytics shows it, because the request never reaches their origin. Registry figures read from our checked-in brand list on 3 August 2026.

  2. Separate the crawlers rather than blocking them as a category

    Blocking the training crawler is a defensible policy. A blanket AI-bot rule also catches the search crawler, which removes you from ChatGPT recommendations entirely and cannot be bought back with ad spend.

  3. Make the landing experience survive an assistant referral

    A shopper arriving from a recommendation has already done the comparison. They land with intent and no patience for a homepage. Send them to the product, not the front door, and make sure price and availability on that page match what the assistant was told.

  4. Instrument the referral you cannot see

    Assistants frequently send no referrer, so these sessions land in Direct and branded organic. A one-question post-purchase survey joined to order IDs is the cheapest way to size the gap on your own data rather than borrowing a benchmark.

  5. Measure whether you are named, before optimising anything

    Unbranded, purchase-intent questions from your own catalogue, asked repeatedly, with failures recorded as failures rather than as absences. If you are not in the answer, checkout mechanics were never your constraint.

The detail behind steps one and two is in the OpenAI crawler reference, step four is the survey protocol in tracking the dark funnel, and step five is measuring AI visibility without fooling yourself.

A channel that withdrew its checkout surface inside six months is a channel to participate in cheaply and instrument well. The brands hurt by this cycle were the ones who built an integration; the brands unaffected were the ones who made themselves readable and let the assistant send traffic to a site that already worked.

The free growth audit checks the things that survived this cycle: whether an automated client can open your store, what your robots.txt and CDN allow, and whether your product data is readable once a request gets through. Public surfaces only, no account connection.

Written by the Cresva Team. Questions? Email us.