For Developers · Checkout
Add Native Checkout to Your AI App: No Redirects, No Drop-Off
Your agent can get a user to "yes." The question is what happens next: a redirect that loses them, or a checkout that finishes the job in the same conversation. Here's what native checkout takes, and how to add it from one integration.
The short answer
Native checkout means the whole purchase, cart, offers, identity, payment, and confirmation, completes inside your AI conversation, with no redirect. It's the difference between an agent that hands users a link and hopes, and an agent that closes the sale it created. To do it, your app needs transaction primitives, not just product data: cart building, offers and discounts, identity linking, payment, and in-conversation order confirmation.
This is also how your app gets paid. A completed in-chat transaction can be attributed to your agent at the transaction level, which is what makes revenue share work (see how to monetize your AI agent).
Why redirects kill conversion in conversational flows
In a conversation, the buying decision happens with full context loaded. The user described their need, your agent answered their questions, the right variant is confirmed. They've said yes, in your interface, in this moment.
A redirect throws that context away. The user lands on a website, sometimes a homepage, sometimes a product page that doesn't match the variant they chose. They must re-find the product, re-decide without the agent's help, create an account or fight a guest-checkout form, and re-enter details on a small screen. Every step is an exit. The people you lose are the worst people to lose: buyers who had already decided.
It compounds. Redirects often break attribution (so you don't get credit even when the sale survives), and the away-from-chat checkout can't be helped by your agent, the one thing that was working. This is why both OpenAI and Google built protocols for buying inside the chat, ACP and UCP, and why agentic commerce treats checkout as part of the conversation, not an external destination.
What native checkout actually requires
Five capabilities, all callable by your agent mid-conversation:
- Cart building. Add, remove, and update items across conversation turns. The cart is conversational state. "Actually, make that two" must just work.
- Offers and discounts. Live offers surfaced and applied in the flow, so the price quoted in chat is the price charged. Stale pricing at payment is an instant trust break.
- Identity linking. Connect the chat user to a purchase identity, saved addresses and payment methods, so a returning buyer doesn't retype everything in a chat window.
- Payment. Collect or reuse a payment method inside the conversation, covering local methods your users actually pay with (UPI and saved payments, for instance).
- Order confirmation in-conversation. The receipt arrives in the same chat. The loop closes where it opened, and the conversation remains the record of the purchase.
The UX of a great in-chat purchase
Done well, the flow reads like a good salesperson, not a form:
- Recommendation. The agent suggests specific, real products with reasons, pulled from structured catalog data, not memory (the supply side of this is covered in choosing a commerce API for your AI agent).
- Questions answered. "Is it fragrance-free?" "Will it arrive by Friday?" The agent answers from live attributes and aggregated reviews, in the thread.
- Variant and stock confirmation. Size, colour, quantity, confirmed against live inventory before money is mentioned. Never sell what isn't there.
- Address and payment. Saved details offered for one-tap confirmation; new users go through the shortest possible capture, still in the chat.
- Confirmed in chat. Order number, total, and delivery expectation posted to the conversation. Follow-ups ("where's my order?") have a natural home.
| Step | Redirect flow | Native checkout |
|---|---|---|
| Decision | Made in chat, then discarded | Made in chat, carried through |
| Product & variant | User re-finds it on a website | Already in the cart, stock-checked |
| Details | Forms, account walls, retyping | Identity linking, saved address and payment |
| Price | May differ from what the agent quoted | Live offers applied; quoted price is charged price |
| Confirmation | On the website, away from your app | In the conversation, attributed to your agent |
Trust and safety basics
An agent that can spend money must be conservative by design. Two non-negotiables:
- The user confirms before purchase. The agent assembles everything, item, variant, address, total, and then asks. Explicit confirmation, every time. No silent buying.
- Clear pricing, always. Item price, discounts, delivery, and total shown plainly before confirmation. The price the user approves is the price charged; live offers and live stock make that promise keepable.
These aren't just compliance hygiene. Confident confirmation is what lets users trust an agent with the next, bigger purchase.
Common mistakes when adding checkout to a chat
Teams that bolt checkout onto a conversational app tend to repeat the same errors:
- Treating checkout as a webview. Embedding the website's checkout page inside the chat is still a redirect: same forms, same friction, just framed differently. Native means the agent drives the flow through transaction APIs, step by conversational step.
- Quoting from stale data. If your agent recommends from a cached feed and checks out against live inventory, users will hit "actually, that's out of stock" at the worst moment. Recommend and transact from the same live source.
- Asking for everything up front. A chat that demands name, address, and card before showing products inverts the funnel. Collect identity at the point of purchase, ideally via linking rather than typing.
- Forgetting the post-purchase turn. The conversation shouldn't go silent after payment. Confirmation, delivery expectations, and a natural place to ask "where's my order?" belong in the thread.
How Ziffi provides this from one integration
Ziffi's transaction APIs expose exactly the primitives above, cart building, offers and discounts, identity linking, and checkout, alongside a product graph of real brand catalogs with live price, stock, variants, reviews, and rich attributes. Your agent recommends from real data and closes in the same thread; brands' existing stores stay untouched on the other side.
- Two integration paths. Connect the shopping MCP server so your model discovers the tools itself, which works for agents built with Claude, ChatGPT, Gemini, n8n, Lovable, or Cursor, or build directly against the open API documentation.
- Works across surfaces. The same in-conversation flow powers chat apps and messaging surfaces. See the WhatsApp AI storefront pattern for how discover, decide, and checkout run in one thread.
- Free, with revenue share. Integration costs nothing. Your app earns a share of every sale it drives, attributed at the transaction, and Ziffi earns only when commerce happens.
Close the sale where it started
Add cart, offers, identity, and checkout to your AI app from one free integration, and earn revenue share on every order your agent completes.
Frequently asked questions
What is native in-chat checkout?
A purchase that completes entirely inside the AI conversation, cart, offers, address, payment, and order confirmation, with no redirect to an external site. The user explicitly confirms before the order executes.
Why do redirects kill conversion in AI apps?
The redirect discards the decision context the conversation built. Users must re-find the product, re-decide without the agent, and fight forms, and each step sheds buyers who had already said yes. Attribution frequently breaks across the redirect too.
How do I add native checkout to my AI app?
Integrate a commerce layer that exposes transaction primitives to your agent. Ziffi provides cart building, offers, identity linking, and checkout from one free integration, via MCP or open API docs, with revenue share on every sale. Email partnerships@ziffi.xyz for access.