TL;DR: ChatGPT Custom GPTs are the fastest path to a GPT Store listing but lock you into OpenAI's ecosystem — buyers need a ChatGPT subscription, you can't embed on your own site, and you have limited pricing control. Alysium agents deploy anywhere, earn independently via Stripe, and don't require buyers to have any account.
If you're considering where to build an AI agent to share or sell, Custom GPTs and Alysium are the two most common no-code options. They look similar at the surface level — both let you upload documents, write instructions, and create an agent without coding. But the deployment model, the monetization mechanics, and the buyer experience are fundamentally different.
| Factor | Alysium | ChatGPT Custom GPT |
|---|---|---|
| Buyer needs an account | No (direct link access) | Yes (ChatGPT subscription) |
| Embed on your website | Yes (script tag) | No |
| Monetization model | Per-conversation, Stripe Connect | Revenue share (ChatGPT Plus required) |
| Model choice | Multiple models | GPT-4o only |
| Domain restriction | Yes | N/A |
| Marketplace | AgentHub | GPT Store |
| Starting price | Free | Requires ChatGPT Plus ($20/mo) |
1. Buyer Access: The Biggest Practical Difference
When you share a Custom GPT link with someone, they need a ChatGPT account to access it — and if you want them to use GPT-4o (the capable version), they need a ChatGPT Plus subscription at $20/month. This creates a meaningful access barrier: a significant portion of your potential buyers won't have a ChatGPT subscription, and many who don't will not pay $20/month just to access your agent.
An Alysium agent accessed via direct link requires no account and no subscription. Your buyer clicks the link, starts talking to the agent, and pays per conversation through the AgentHub payment flow. No prior relationship with any platform required.
For business use cases — a small business embedding a customer service agent on their website — this distinction is even starker. A Custom GPT can't be embedded; it lives on ChatGPT.com. An Alysium agent embeds on any website with a script tag, appearing in your brand's colors and voice on your own domain.
When Custom GPT wins here: If your audience is already heavy ChatGPT users and you want the simplest possible path to sharing a GPT without monetization complexity, a Custom GPT shared via link is fast. The access barrier doesn't matter if your audience already has ChatGPT Plus.
There's a conversion math dimension worth understanding. If you're building an AI agent to sell, the addressable market for your agent is: (people who'd pay for it) × (people who already have or will get a ChatGPT Plus subscription). For a Custom GPT, that second factor is a meaningful constraint — ChatGPT Plus subscribers are a real but bounded population. For an Alysium agent, the second factor is essentially unrestricted — anyone with internet access can buy. That difference in addressable market compounds into a significant income differential over time for the same underlying expertise.
2. Monetization: Control vs. Platform Revenue Share
Custom GPT monetization is limited. Builders can list agents in the GPT Store, but the income model is a revenue share paid by OpenAI based on user engagement metrics that aren't fully transparent. You can't set your own per-conversation price. You can't sell directly. You're dependent on OpenAI's revenue share decisions.
Alysium's monetization model is direct: you set a per-conversation price, Stripe Connect routes payments to your bank account on Stripe's standard schedule, and Alysium takes a platform fee. You know exactly what you earn per conversation. You control the price. The income compounds as reviews build and AgentHub discovery increases.
When Custom GPT wins here: If you don't care about monetization — you're building an agent to share freely with an existing audience — Custom GPT's simpler setup is appropriate. The monetization gap only matters if you want to earn from your agent.
One outcome of opaque revenue share that most GPT Store builders only discover after launch: the income per thousand conversations is unpredictable and can vary significantly month to month based on OpenAI's engagement calculations. Creators who built specific income expectations based on early GPT Store months report substantial variance that makes financial planning difficult. Alysium's per-conversation pricing is exactly what you set — $5/conversation means $5 per conversation, and 200 conversations means $1,000 before the platform fee. That predictability is itself valuable for creators who want to build a reliable income stream rather than an opaque revenue share.
3. Model Choice: Multi-Model vs. GPT-4o Only
Alysium supports multiple AI models, allowing builders to choose based on use case requirements. Knowledge-base Q&A tasks often work well with faster, more cost-efficient models; complex reasoning tasks may benefit from more capable ones. The multi-model option lets you match the model to the use case rather than paying frontier model prices for every conversation.
Custom GPTs use GPT-4o. No other option. For builders who want GPT-4o specifically, this is fine. For builders who want to improve cost or explore different model strengths, Custom GPT offers no flexibility.
The cost implication of single-model lock-in is worth calculating concretely. If your agent has 1,000 conversations per month and each conversation costs $0.05 in GPT-4o inference, that's $50/month in model costs. If Alysium's platform allows you to route simpler knowledge retrieval queries to a faster, cheaper model at $0.01/conversation, the same 1,000 conversations cost $10/month. At scale, that difference is meaningful — especially for agents that have high conversation volume but mostly handle factual Q&A that doesn't require frontier model reasoning.
4. Embedding and Branding: Your Site vs. OpenAI's
An Alysium widget on your website shows your business name, your brand colors, your welcome message. It sits on your domain. When a customer interacts with it, the experience is smoothly part of your site. The widget uses one of 36 theme options with custom accent color and CSS override capability.
A Custom GPT lives on ChatGPT.com. There's no way to embed it on your own website. Users who click through from your site land in the ChatGPT interface — OpenAI's branding, OpenAI's navigation, your agent in a frame you don't control.
When Custom GPT wins here: If your primary use case is sharing agents with technical colleagues who prefer the ChatGPT interface, the embedding limitation doesn't matter. For most creators building for external audiences, embedding flexibility matters significantly.
The brand consistency argument is more practical than it sounds. A customer who clicks from your beautifully designed website into ChatGPT's interface experiences a jarring context switch — from your brand to OpenAI's. That context switch erodes the premium feel you may have built into your brand. Worse, it exposes the customer to ChatGPT's navigation, upgrade prompts, and interface choices — including the 'try ChatGPT' prompts that may distract from your agent. An Alysium widget on your own site keeps the customer in your brand context throughout the entire interaction.
5. Who Should Build Where
Build on Alysium if: You want to embed on your own website, sell directly without platform revenue share, reach buyers without requiring ChatGPT subscriptions, or want model flexibility. The vast majority of small business and creator use cases belong here.
Build as a Custom GPT if: Your audience consists primarily of existing ChatGPT Plus users, you want the simplest possible setup without monetization, and you're comfortable with OpenAI ecosystem lock-in.
Build both if: You have existing ChatGPT users and want to reach buyers outside that ecosystem. The same knowledge base documents work for both — nothing prevents maintaining both an Alysium agent and a Custom GPT version for different audiences.
Build where your buyers are. Start on Alysium — free to build, direct link access, no account required for buyers.
A tactical consideration worth naming: maintenance. When you update your knowledge base — new pricing, updated FAQ, changed policies — the update process differs. For a Custom GPT, you update within the ChatGPT builder and the changes apply to the shared GPT. For an Alysium agent, you re-upload the updated document and the knowledge base refreshes within minutes. Both are manageable. But Alysium's updates apply to all deployment points simultaneously — the widget on your website, the direct link in your email signature, the AgentHub marketplace listing. Custom GPT updates only apply to the ChatGPT.com context. If you're maintaining agents across multiple deployment contexts, Alysium's single-source-of-truth update is more efficient.
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