The best AI marketplace may be the one
that lets you leave

An AI agent does not have to accept a marketplace’s boundary as the boundary of the market. It can search websites, read catalogues, collect quotations and carry a requirement between systems. That weakens one familiar source of platform power: making the enrolled catalogue the easiest market a user can see.

It does not make the marketplace obsolete. Discovery is only the beginning of a commercial transaction. Supplier identity, comparable evidence, negotiation, contracting, payment, logistics, audit and dispute resolution can still be expensive. A platform that performs those jobs well may become more valuable even when the buyer is free to discover and approach suppliers elsewhere.

The strategic model is open discovery, preferred execution. Let the agent look broadly. Make the platform the lowest-friction credible place to finish. The test is not whether a user is technically able to leave. It is whether the platform can show why an informed user, with a workable alternative, still chooses to return.

Alibaba’s Accio family is a useful early signal, not proof of this model. Alibaba describes agents that can browse the web and operate across multiple e-commerce backends, while also emphasising deep integration with Alibaba.com. An earlier Accio sourcing release sent final enquiries to sellers listed on Alibaba.com. Amazon’s Buy with Prime supplies a different, non-agentic example: shoppers discover products on participating brands’ own sites, while Amazon supplies account-based checkout, Prime delivery and returns. Buy with Prime Assist can handle many post-order queries, but merchants remain responsible for customer support. Both Alibaba’s and Amazon’s descriptions are commercially interested. Together they make the separation of discovery and execution plausible; they do not establish neutral ranking, better outcomes or a superior business model. ^{1 2 3 4 5}

The meeting-ready tool is an Open Discovery / Preferred Execution Test. It separates a platform that earns the transaction from one that gives an open-looking front end to a closed commercial path.

The governing proposition

Do not measure the strength of an AI marketplace only by how much activity it keeps inside. Measure how much execution it wins when credible outside options remain visible.

Open discovery does not mean indiscriminate access to every seller on the internet. A business buyer still needs qualification, security rules, sanctions checks, product evidence and authorised spend. It means that platform ownership is not silently treated as proof of suitability, and that relevant external options can enter the comparison under explicit rules.

Preferred execution is not mandatory execution with a softer name. It means the platform’s verification, contract, payment, fulfilment, finance, audit or recourse services create enough incremental value to justify their cost. The attraction should survive a visible alternative route.

The Open Discovery / Preferred Execution Test

Use this test in a platform strategy, product investment or partnership meeting. Ask for a demonstration on a representative, bounded transaction. The instrument is Andrew’s Intel editorial synthesis, not a published industry standard.

On a narrow screen, each layer is shown as a separate card.

Four different platform positions

The test produces four strategically different positions. They should not be compressed into one openness score.

1. Open discovery, preferred execution. Users can find and progress credible alternatives, but choose the platform because its transaction services reduce total cost, time or risk. This is the earned-marketplace proposition.
2. Open discovery, weak execution. The agent is a useful search or workflow service, but transactions leak elsewhere because the platform adds too little at commitment. This may still be a viable product; it is not yet a strong marketplace.
3. Open-looking discovery, closed execution. External options appear in results but cannot be verified, negotiated or contracted on comparable terms. The front end is broad while the commercial path remains narrow.
4. Closed discovery, captive execution. The platform restricts both consideration and exit. That model can be profitable, but its economics depend more heavily on control and face greater customer, competition and regulatory challenge.

The framework does not assume that the first position always wins. Some regulated, specialised or high-trust markets may justify a narrow qualified network. The point is to make the source of advantage explicit.

Why agents change the platform bargain

A traditional marketplace reduces search cost by assembling supply, demand and information in one place. As participation grows, the service can become more useful to both sides. The Organisation for Economic Co-operation and Development cautions that platforms vary greatly and do not all succeed for the same reasons. There is no single platform formula to transfer into agentic commerce. ⁷

Agents can reduce the cost of looking outside the assembled catalogue. They can open pages, collect information and carry structured requirements between interfaces. That does not remove verification or execution cost. It changes where the difficult work sits.

For the platform owner, this creates a choice. One response is to make external comparison harder. Another is to widen the top of the funnel and invest in the point at which discovery becomes a dependable transaction. The second model can turn openness into supplier acquisition: an external supplier found for a live requirement may choose platform services because joining the transaction is easier than reproducing them. That is a strategic inference, not a claim that Alibaba or any other provider has stated this intention.

The useful metric is therefore not time spent inside the interface. It is execution attach rate conditional on credible choice: when the agent finds both enrolled and external options, how often is platform execution selected, for which services, at what total cost and with what outcome?

A worked marketplace decision

Consider an industrial buyer seeking a specialised component. The agent identifies twelve plausible suppliers. Five are already on the marketplace; seven are external. All twelve can receive the same requirement, and the buyer can see the source and limits of the evidence used to qualify them.

Three suppliers reach the final comparison, including one external supplier. The buyer remains free to contract directly. The platform offers a standard contract, identity checks, inspection, staged payment, logistics tracking and a dispute route for a stated fee. The external supplier can join that execution path for this transaction without buying an unrelated software estate.

If buyer and supplier choose the platform because those services cost less than recreating them and the fee is justified by the risk removed, the marketplace has earned the transaction. Discovery outside its original inventory has enlarged the opportunity. If the external offer is visible but cannot be progressed, or the comparison record disappears when the buyer chooses another route, the platform has not demonstrated openness. It has demonstrated reach without commercial portability.

This example is illustrative. It is not a description of Accio, Buy with Prime or a measured deployment. It shows what evidence a platform leader would need before calling an open front end a stronger marketplace strategy.

Accio makes the question concrete

Alibaba International’s August 2025 announcement described Accio’s move from business-to-business search towards an agent that could generate a development plan, vet suppliers, issue bulk requests for quotation and compare responses. The final enquiry went to pre-vetted sellers listed on Alibaba.com. That is a documented execution path into the owner’s marketplace, although the release is promotional and its performance claims are unaudited. ¹

The current Accio Work page describes a wider boundary. It says agents can browse the web, operate multiple e-commerce backends, create a Shopify store and automate negotiation emails, while the product remains deeply integrated with Alibaba.com. Alibaba’s FY2026 results confirm that Accio Work launched in the quarter ended 31 March 2026. A later Alibaba.com product page says sensitive actions such as payments require explicit user approval. ^{2 3 4}

This is not evidence that Accio provides neutral cross-market supplier discovery, equal progression for outside suppliers or better commercial outcomes. Public material does not disclose ranking logic, comparative coverage, conversion by route or whether outside suppliers can move through an equivalent transaction path. The defensible signal is narrower: a marketplace owner is building agents that cross digital boundaries while preserving a privileged integration with its own commerce infrastructure. That combination is enough to test the open-discovery thesis, not to declare it proven.

Execution can travel beyond discovery

Amazon’s Buy with Prime supplies a useful adjacent mechanism. Amazon says participating merchants can place Buy with Prime on their own websites. The shopper remains on the brand’s route to purchase, while Amazon supplies account-based checkout, Prime delivery and returns. Buy with Prime Assist can handle many post-order queries on the merchant’s behalf; merchants remain responsible for support and receive pre-order, brand-specific and unsupported questions. ⁵

This is not an AI sourcing agent, autonomous negotiation or an open business-to-business marketplace. Amazon is also the interested source for the product mechanics. It nevertheless demonstrates that a platform service layer can be selected after discovery has occurred elsewhere. The transaction infrastructure, rather than control of the original search, can be the product.

Regulation adds another reason to distinguish attraction from obstruction. The European Commission’s Digital Markets Act material says designated gatekeepers must, in specified circumstances and for designated core platform services, allow interoperability, give business users access to generated data and permit them to promote offers and conclude contracts outside the gatekeeper’s platform. Those are scoped legal obligations, not evidence that open models outperform closed ones. They do show that steering, access and portability are now strategic design variables, not remote policy footnotes. ⁶

Capability signal and management signal

The capability signal is that agents can browse beyond one interface, operate several backends and move through multi-step workflows. Platform services can also appear in transactions that began on another company’s storefront. These facts make it technically plausible to separate broad discovery from preferred execution. They do not prove comprehensive search, unbiased recommendations, reliable comparison or autonomous readiness for high-consequence commitments.

The management signal is a choice about where the platform earns its margin. Leaders decide the discovery boundary, ranking incentives, qualification rules, transaction services, fees, commitment rights, data access and exit path. Product metrics then reinforce that choice. A team rewarded only for keeping every step inside may quietly close the boundary. A team measured on execution selected after credible outside comparison has to make the execution genuinely valuable.

The decision owner should be the leader accountable for the marketplace economics, not the model supplier. Procurement, legal, competition, security and operations can set constraints. The general manager or product owner must decide whether the commercial proposition survives visible choice and which service earns each unit of take.

Run a bounded transaction-gravity trial

Choose one category in which external discovery is permitted and consequences are manageable. Define qualification and authority rules before the trial. Let the agent surface both enrolled and external suppliers, and allow comparable offers to progress far enough that the outside route is real.

Track discovery coverage, the share of external suppliers reaching the final comparison, time and cost to qualification, execution attach rate, explicit platform fees, exceptions, human interventions, disputes and successful record export. Separate the value of each execution service from the inconvenience of leaving.

A high attach rate is meaningful only if users had a credible alternative. A low rate does not automatically condemn openness. It identifies where the platform is failing to earn the transaction, which may be more valuable than a conversion figure protected by a closed catalogue.

What this evidence does not establish

There is no independent evidence here that Accio searches the relevant supplier market neutrally, that its integrations increase platform transactions or that an open-discovery marketplace produces stronger network effects. Alibaba’s product pages and release describe its own products. Alibaba’s results confirm the launch and its product pages describe stated permission controls; these remain first-party claims, not performance evidence.

Buy with Prime demonstrates transaction services on independent storefronts, but it is a consumer-commerce product described by Amazon and is not evidence about agentic procurement. The Digital Markets Act applies to designated gatekeepers and specified services. The Organisation for Economic Co-operation and Development report predates the present agentic products and warns against a single theory of platform success.

The defensible conclusion is a strategic hypothesis with observable tests: agents make it more plausible to open discovery while retaining execution value; current products show components of that separation; and leaders can measure whether the transaction is being earned. They cannot yet claim that the model is generally superior or already mature.

The sentence for the next platform review

Show me a qualified transaction the user could complete elsewhere. Then show me why the buyer and supplier would still choose to complete it here.

If the answer is better verification, contracting, payment, logistics and recourse, the platform may be building transaction gravity. If the answer is that leaving breaks the workflow, it is still relying on the wall.

The strongest execution path should survive a genuine route to leave.

Evidence note

Evidence and current product material were rechecked on 30 October 2026. Alibaba’s Accio release, Accio Work page, FY2026 results and later product material are first-party commercial descriptions. They support bounded product-mechanics and stated-control claims, not comparative performance, neutral ranking or marketplace outcomes. Amazon’s current material describes Buy with Prime’s checkout, delivery, returns and mixed customer-support model on participating merchants’ sites.

Alibaba’s results confirm the launch and its product pages describe stated permission controls; these remain first-party claims, not performance evidence. Official European Commission and Organisation for Economic Co-operation and Development material supplies scoped policy and platform context. The four-position model, worked example, execution attach rate, transaction-gravity trial and strategic conclusion are Andrew’s Intel editorial synthesis.