Where to Sell AI Agents in 2026: The New Agent Marketplaces
For most of the last decade, if you built a clever automation and wanted to sell it, your options were a template listing, a freelance gig, or a slow, one-buyer-at-a-time consulting motion. That has changed abruptly. In the eighteen months to mid-2026, every major cloud vendor shipped a dedicated AI agent marketplace, and the consumer assistant stores matured into real distribution channels. Salesforce, AWS, Google, Microsoft, OpenAI and Anthropic now all run a place where a builder can list an agent and let a platform handle discovery, trust and billing. This guide maps those channels for people who actually make and sell automations, with the real commission rates, billing models and trade-offs, so you can decide where your next agent should live.
Why a new class of sales channel appeared
The short version is that enterprise buyers finally have a sanctioned way to purchase agents, and that removes the single biggest barrier to selling automation into large companies. Procurement teams do not like buying software from an unknown vendor with a Stripe link; they like buying through channels they already trust, ideally ones that count against budget they have already committed. The marketplaces solve exactly that. Analysts project that hyperscaler cloud marketplaces will grow from roughly $14.2 billion in gross sales in 2024 to about $41.8 billion by 2029, with AI, data and analytics the fastest-growing submarket inside them. Whatever you make of the headline figures, the structural point is real: there is now a familiar storefront between you and the enterprise buyer.
For an independent builder or a small agency, this is a genuine shift in leverage. Instead of proving your legitimacy from scratch on every deal, you inherit some of the platform's credibility, its security posture and its invoicing. The trade is that you play by the platform's rules, share revenue, and compete inside a catalog rather than on your own terms. Understanding the specific terms of each channel is therefore the difference between a distribution windfall and a margin trap.
The two families of marketplace
It helps to split the landscape into two families, because they attract completely different buyers and reward completely different products.
Enterprise cloud marketplaces are where IT and line-of-business teams procure agents that plug into systems they already run. The flagship examples are Salesforce AgentExchange, the AWS Marketplace AI agents and tools category, and the Google Cloud AI Agent Marketplace, with Microsoft's commercial marketplace and Copilot ecosystem alongside them. Deals here are larger, sales cycles are longer, and the bar for security and integration is high. This is the right home for an agent that does real work inside a CRM, a data warehouse or a support desk.
Consumer and developer assistant stores are where individuals and small teams discover agents they can use in minutes. OpenAI's GPT Store, Poe and Hugging Face are the obvious examples. Distribution is enormous and onboarding is near-instant, but per-user revenue is lower and you control less of the experience. This is the right home for a focused, self-serve assistant, or for validating demand before you invest in an enterprise listing.
The enterprise marketplaces, compared
The three enterprise leaders arrived in quick succession and each reflects its parent company's strengths. Salesforce launched AgentExchange on 4 March 2025 as a trusted marketplace for its Agentforce ecosystem, merging AppExchange and the Slack Marketplace into a single catalog that pulls together more than 10,000 Salesforce apps, roughly 2,600 Slack apps and agents, and over 1,000 Agentforce agents, sub-agents, tools and Model Context Protocol servers. Its entire pitch is trust and vetting, and pricing is partner-negotiated and billed through Salesforce.
AWS announced its AI agents and tools category at the AWS Summit in New York on 16 July 2025 with more than 900 listings on day one, and partners including Anthropic, IBM, PwC, Stripe, Perplexity, Automation Anywhere and C3.ai. Its model mirrors the rest of AWS Marketplace: sellers set hourly rates, usage tiers or annual contracts, AWS handles the invoicing, and AWS takes a platform fee. In November 2025 it added an "agent mode" and AI-enhanced search to help buyers find the right solution faster. Google Cloud, meanwhile, positions its AI Agent Marketplace as the industry's first, a curated section of Google Cloud Marketplace with 50-plus partners and thousands of agents, and it rebranded the surrounding Agentspace product to Gemini Enterprise on 9 October 2025.
| Marketplace | Best-fit seller | Billing model | Platform economics | What reviewers check |
|---|---|---|---|---|
| Salesforce AgentExchange | Agents that live inside CRM and Slack workflows | Partner-negotiated, usually annual or usage-based, billed by Salesforce | Platform fee on a large, vetted catalog | Trust review, Agentforce/MCP compatibility |
| AWS Marketplace (agents & tools) | Deployable, API- or container-based agents for cloud teams | Pay-as-you-go: hourly, usage tiers or annual contracts; AWS invoices | Platform fee on top of your rate; counts toward AWS commitment | Security, deployment path, guardrails |
| Google Cloud AI Agent Marketplace | Data- and Gemini-centric agents for Google Cloud shops | Marketplace billing, counts toward Google Cloud commitment | Platform fee; curated partner set | Integration with Vertex/Gemini, partner status |
| Microsoft commercial marketplace | Copilot and Azure-aligned agents | Transactable offers billed through Microsoft | Flat 3% transaction fee on eligible offers; counts toward Azure commitment | Certification, Azure benefit eligibility |
Two economic details are worth dwelling on. First, the fact that a marketplace purchase can count toward a customer's existing cloud spending commitment is a genuine sales accelerant; it means a buyer can often say yes without opening a new budget line. Second, Microsoft's flat 3 percent transaction fee on eligible transactable offers is dramatically lower than the 15 to 30 percent cuts common elsewhere, which can matter enormously to your margin if your buyer already lives in the Microsoft ecosystem.
The consumer and developer stores, compared
The assistant stores are a different game entirely: high volume, low friction, and revenue models that reward engagement rather than enterprise contracts. OpenAI's GPT Store lets anyone publish a custom GPT and pays a usage- based revenue share to builders, riding on an installed base that generated on the order of $677 million in ChatGPT in-app revenue between March 2024 and March 2025. Poe offers builders two clear paths: set your own per-message price, or opt into subscription revenue sharing where you keep 100 percent of a subscriber's first monthly payment or 50 percent of the first annual payment when your bot converts them. Hugging Face takes a different stance entirely and does not pay a per-query revenue share; creators there monetize through Pro subscriptions gated behind their Spaces, links to paid services, or by using a Space as a top-of-funnel demo for their own product.
Anthropic sits somewhere between the two families. Its developer program is reported to use a sliding commission that starts around 30 percent for smaller developers and falls toward 15 percent for high-volume partners, while its Skills distribution has been free to publish. The pattern to notice across all of these is that platform cuts on agent and app marketplaces generally leave the creator with 70 to 85 percent of revenue. Anything outside that band, in either direction, is a signal worth investigating before you commit.
- GPT Store: massive reach, usage-based revenue share, minimal setup, but you compete in a crowded catalog and control little of the surface.
- Poe: flexible pricing you set yourself, plus a subscription share, good for focused paid bots.
- Hugging Face: no per-query payout, best used as a credibility-building demo and funnel to your own paid offer.
- Anthropic developer program: a sliding cut that rewards scale, with free Skills distribution as a low-risk entry point.
How to price the agent you list
Choosing a channel is only half the decision; you also have to choose a pricing shape, and 2026 has settled on three dominant ones. Per-seat pricing charges a flat monthly fee per human user, commonly $30 to $80 per agent per month, and it is simple to forecast but weakly tied to value. Per-ticket pricing charges a small fee for each inbound task or conversation, often $0.30 to $1.00, and it scales with usage. Per-resolution pricing charges only when the agent finishes the job without a human handoff, commonly $0.50 to $2.00, and it aligns your revenue with the outcome the buyer actually cares about.
Outcome-based models such as per-resolution have gained real momentum because they answer the buyer's oldest objection, "what if it does not work," by only charging when it does. The catch is measurement: you need a reliable, auditable definition of what counts as a resolution, or the model becomes a source of disputes. We cover this shift in depth in our piece on pay-per-resolution, outcome-based AI agent pricing, and it is worth reading before you commit a listing to any single model.
What a marketplace actually asks of you
The listings are free to browse, but they are not free to earn. Every enterprise marketplace runs a partner application and a security or trust review before you appear, and the things reviewers examine are precisely the things hobby projects skip. Salesforce builds its entire AgentExchange story around trust and vetting. AWS bundles agents with tools and guardrails and expects a clean deployment path. Google curates its catalog around named consulting and software partners. In practice, that means you should have several things in order before you apply:
- A tight permissions model. The agent should request the minimum access it needs and nothing more, with clear scopes a reviewer can understand.
- Logging and auditability. Every decision, input and tool call should be recorded, because enterprise buyers will ask how they can trace what the agent did.
- Documented data handling. Be explicit about what data the agent touches, where it goes, and how long it is retained.
- A real support process. A named contact, a response-time commitment, and a way to handle incidents, not a personal inbox.
- A defensible packaging. A container, API or platform-native action that fits how the marketplace deploys, rather than a bespoke script only you can run.
None of this is exotic, but it is the difference between an application that clears review and one that stalls. The good news is that the same discipline makes your agent safer and easier to sell everywhere, so it is not wasted effort even for the consumer channels.
Templates are not dead — they are the on-ramp
It would be easy to read all of this as a signal that the older business of selling packaged workflows is finished. It is not. Selling a well-documented n8n, Make or Zapier template remains a viable, low-overhead business, and it is often the smartest way to discover which use cases are worth the far greater effort of building a managed agent. A template that sells well is market research you got paid for. The natural progression is to take your best-selling templates and rebuild the highest-demand ones as fully managed agents you list on a cloud marketplace at a higher price point, with the reliability and support an enterprise buyer expects.
If you are still building your distribution across the older channels, our guide to where to sell your n8n automations maps the template and workflow marketplaces, and our walkthrough on how to sell AI agent builds covers the packaging and positioning that make a build ready for a paying buyer. Read them alongside this piece: the template shops teach you what to build, and the agent marketplaces are where the mature version of it earns the most.
Choosing your first channel: a decision guide
If you are trying to decide where to list first, work backward from your buyer and your product maturity rather than from the biggest headline number. A few honest questions cut through most of the noise:
- Who approves the purchase? If it is IT or procurement, start with an enterprise marketplace; if it is an individual, start with a consumer store.
- Which cloud does your buyer already pay? Listing where a purchase counts toward an existing commitment removes a budget objection before it is raised.
- How reversible are your agent's actions? The more sensitive the actions, the more an enterprise channel's review and guardrails work in your favor.
- Have you proven demand yet? If not, a consumer store validates it cheaply before you pay the cost of an enterprise security review.
- What is your true margin after the cut? A 3 percent Microsoft fee and a 30 percent developer-program cut are not the same business; model it before you commit.
The most common successful pattern is not exclusivity but sequencing: prove a focused agent on a consumer store, harden it, then list the enterprise-grade version on the cloud your target buyers already live in. Each channel becomes an additional surface for the same core capability rather than a bet you cannot walk back.
Turn a working automation into something you can sell
Package a reliable, well-documented workflow you can list, then grow it into a managed agent buyers trust.
Learn how to sell AI agent buildsFAQ
Where can I sell an AI agent in 2026?
On the enterprise side, Salesforce AgentExchange, the AWS Marketplace AI agents and tools category and the Google Cloud AI Agent Marketplace are the leading channels, with Microsoft's commercial marketplace alongside them. On the consumer side, OpenAI's GPT Store, Poe and Hugging Face reach individual users. Pick the family that matches who approves the purchase.
What commission should I expect to pay?
Most agent and app marketplaces leave the creator with 70 to 85 percent of revenue, so the platform keeps 15 to 30 percent. Microsoft's commercial marketplace is a notable outlier at a flat 3 percent transaction fee, while Anthropic's developer program is reported to slide from about 30 percent down to 15 percent for high-volume partners.
Why does "counting toward a cloud commitment" matter?
When a marketplace purchase draws down a customer's existing AWS, Google Cloud or Azure commitment, the buyer can often approve it without opening a new budget line. That removes a common procurement objection and shortens the sales cycle, which is one of the biggest advantages of listing on the cloud your buyer already uses.
Should I list on more than one marketplace?
Usually yes. Exclusivity is rarely required, and most sellers adapt the same core capability into several packagings: a container or API for AWS, an Agentforce-native action for Salesforce, and a hosted assistant for a consumer store. The cost is in integration and review, not in giving up other channels.
How should I price the agent?
Per-seat pricing ($30 to $80 per user per month) is simple; per-ticket pricing ($0.30 to $1.00 per task) scales with usage; per-resolution pricing ($0.50 to $2.00 per completed job) aligns revenue with outcomes. Outcome-based models are popular but require a reliable, auditable definition of a resolution.
What will the review process check?
Expect scrutiny of your permissions model, logging, data handling, support process and deployment path. Enterprise marketplaces like Salesforce and AWS build their brand on trust, so having these in order before you apply is the difference between a listing that clears review and one that stalls.
Are workflow templates still worth selling?
Yes. Template and workflow marketplaces remain a viable, low-overhead business and a smart way to validate which use cases justify the far greater effort of a managed agent. Many builders sell templates first, then rebuild the best ones as agents listed on a cloud marketplace at a higher price.
How large is this opportunity?
Analysts project hyperscaler cloud marketplaces growing from about $14.2 billion in 2024 to roughly $41.8 billion by 2029, with AI, data and analytics the fastest-growing segment. For an individual builder, the meaningful change is that enterprise buyers now have a sanctioned place to purchase agents at all.