OpenAI has blocked new GPT creation on personal accounts. Five custom GPT alternative models for selling AI tools — and the one I’m betting on.
OpenAI has quietly stopped personal ChatGPT accounts from creating new GPTs. If you sell access to Custom GPTs, you now need a custom GPT alternative — and it turns out the replacements are better products than the thing they’re replacing.
If you’ve been building Custom GPTs and selling access to them, there’s a change you need to know about. And it looks bigger than simply removing a sharing button.
OpenAI’s own documentation now states it plainly: “New GPT creation and publishing are not available on personal ChatGPT accounts, including Free, Go, Plus, and Pro.”
Existing GPTs haven’t disappeared. They remain usable, and according to the same documentation they can still be edited if your plan and permissions allow it.
But the old model of:
Build a new GPT ? create a public shareable link ? sell access to that link
is no longer something I’d build a new product around. And that affects quite a few AI product sellers.
TL;DR — what changed and what to do about it
- What changed: personal ChatGPT accounts (Free, Go, Plus, Pro) can no longer create or publish new GPTs. Only Business, Enterprise and Edu workspaces can.
- What didn’t: existing GPTs still work and can still be edited, subject to your plan and permissions.
- What this breaks: the “build a GPT, sell the link” business model for any new product.
- The best custom GPT alternative for low-ticket products: a small branded AI tool on your own URL, powered by an AI API behind the scenes.
- The real lesson: the value was never the GPT. It was the workflow inside it.
What actually changed with Custom GPTs
To be precise about it, because there’s a lot of half-information floating around:
- Personal accounts — Free, Go, Plus and Pro — cannot create or publish new GPTs.
- GPT creation and publishing now sit with managed workspaces: Business, Enterprise and Edu, subject to workspace settings.
- Existing GPTs remain usable, and remain editable if you still meet the plan and permission requirements.
- Link sharing and GPT Store publishing still exist — but inside managed workspaces, not on personal plans.
You can read OpenAI’s wording yourself on their help pages for creating and editing GPTs and sharing and publishing GPTs.
So this isn’t the end of GPTs. It’s the end of GPTs as a product you can spin up on a $20 account and sell.
First: don’t panic about your existing GPTs
If you’ve already got GPT-based products in customers’ hands, I wouldn’t start dismantling them today.
If they’re working, leave them working.
The bigger question is: what do we use for the next product?
Because relying on OpenAI to hand us a public link that we can package and sell has always involved platform risk. OpenAI controls:
- whether GPTs can be created
- whether they can be shared
- who can access them
- which models they use
- what limits apply
- whether the feature continues to exist at all
This change is a useful reminder of that.
The underlying opportunity hasn’t gone anywhere. People still want useful AI tools. What’s changing is how we deliver them.
Five custom GPT alternatives worth considering
There isn’t one replacement. There are five, and which one fits depends entirely on your price point:
- Your own small branded AI tool — best for free to $37 products
- A ChatGPT Project kit — best for information products where the buyer supplies the AI
- The workflow itself, sold as IP — the most platform-proof of the lot
- A full AI SaaS — for genuine $20–$100/month recurring software
- AI placed inside the workflow — extensions and in-app tools rather than chatbots
Let’s take them one at a time.
Alternative 1: Build your own small branded AI tool
This is the custom GPT alternative I’ve become most interested in, and I’ve been going through some training on exactly this approach.
Instead of building the tool inside ChatGPT, you build a small standalone web application that uses an AI model behind the scenes.
The shape of it looks like this:
Customer ? your branded page ? your AI instructions and workflow ? AI API ? personalised result
The customer doesn’t need to open ChatGPT. They don’t need your GPT link. They don’t even need to know which model is powering it.
They visit your tool and they use it.
The approach I’ve been studying uses a hosted webpage plus a lightweight backend that talks securely to Claude through Anthropic’s API. The AI writes most of the code required, which means this kind of application is now genuinely within reach of people who’d never call themselves developers.
That’s an important distinction. You’re no longer selling:
“Access to my GPT.”
You’re selling:
“Access to my AI tool.”
What could one of these tools actually do?
It doesn’t have to be a general-purpose chatbot. In fact I think that’s the wrong way to use this.
The interesting opportunity is building something that does one specific job. For example:
- Answer a few questions ? get a personalised marketing plan
- Describe your business ? get five suitable lead-generation ideas
- Enter your offer ? get your strongest positioning angle
- Complete an assessment ? get a score, a diagnosis and recommended next steps
The examples in the material I’ve been working through go well beyond a chat window. They include structured assessments, scoring, progress indicators, personalised recommendations and controlled outputs.
That starts to feel much more like a piece of software.
Why this model is particularly interesting
For the kinds of products I’m likely to build, I don’t need a full SaaS platform. I’m thinking more along the lines of:
Free — $37 one-time, for a tool that solves one tightly defined problem.
That tool then naturally leads the customer towards the next product or service:
Free AI assessment ? “you’ve got Problem X” ? “here’s what I recommend next” ? relevant paid product
Or:
$27 AI tool ? produces a useful result ? identifies the next bottleneck ? $97 / $197 / recurring upgrade
That’s a lot more interesting to me than selling somebody another chatbot.
The implementation I’ve been looking at even demonstrates deliberately limiting what the free tool can do, so it delivers real value without replacing the more advanced paid product sitting behind it.
That’s the point where this stops being an AI novelty and becomes a marketing mechanism.
You control the whole experience
With a Custom GPT, you’re sending your buyer into OpenAI’s product. With your own tool, you control:
- your branding
- the questions asked, and the order they’re asked in
- how the results appear — scores, cards, progress indicators
- calls to action and recommendations
- lead capture and access restrictions
- links to the next product
So rather than saying “chat with my AI”, you can say:
“Use this tool and get this specific outcome.”
That’s a far stronger product proposition — and a far easier one to write a sales page for.
There is still a cost involved
One important difference from Custom GPTs: with a GPT, the customer burns their own ChatGPT allowance. With your own tool, you’re paying for the AI usage through the API.
So this isn’t free to operate.
But for the type of applications I’m describing — small tools performing short, controlled tasks — the economics are very manageable. It also means I’d design these tools differently from an unlimited chatbot.
Rather than “ask it anything forever”, I’d build:
“Give me this information and I’ll produce this result.”
Better product. More predictable costs. And much easier to build an upsell around.
Access doesn’t have to be complicated either
At the simplest level, a tool can have its own URL and an access code. The customer buys, receives the URL and the code, and uses the tool.
That’s roughly the same simplicity we had with buy ? receive GPT link.
Would I use that for a £99/month SaaS with thousands of users? No. I’d want individual accounts, proper authentication, usage tracking and subscriptions.
But for free lead magnets, $17 and $27 tools, $37 one-time products and course bonuses, it’s a very practical model. Which is exactly the area I’m interested in.
Alternative 2: Turn the GPT into a ChatGPT Project kit
For simpler information products, another option is to sell the system behind the GPT rather than access to the GPT itself.
That could contain:
- Project instructions
- Reference files
- Starter prompts
- Workflow instructions
- Worked examples and templates
- A setup video
The buyer installs the system into their own ChatGPT Project. Instead of selling “access my GPT”, you’re selling:
“Install my AI system into your own ChatGPT.”
The advantage: you’re not paying for their AI usage. The disadvantage: it’s less seamless, and the customer receives your underlying instructions and files.
Still a good fit for low-ticket training products.
Alternative 3: Sell the workflow, not the chatbot
This may be the most future-proof custom GPT alternative of the lot.
A good GPT was never valuable because it was technically a GPT. It was valuable because somebody had worked out:
what information to collect ? what questions to ask ? what process to follow ? what result to produce
That’s intellectual property.
So instead of creating a Facebook Ads GPT, you create an AI Facebook Ad Campaign System, containing:
- Business intake
- Audience analysis
- Angle generation
- Hook generation
- Ad creation
- Critique
- Variations
- Campaign checklist
That works inside ChatGPT, inside Claude, or inside a standalone tool. The value now sits in your process, rather than in whichever AI platform happens to be popular this year.
Alternative 4: Build a full AI SaaS
At the other end of the scale, you can build proper AI software: user accounts, subscriptions, databases, saved history, usage allowances, billing, analytics, multiple tools, real authentication.
That’s the right direction if you’re building a genuine $20–$100/month software business.
It’s considerably more work than the small standalone tool model. And for many offers it’s simply unnecessary — I wouldn’t build a full SaaS when a $27 tool with one job achieves the same commercial objective.
Alternative 5: Put the AI where the work happens
Another option is to stop thinking about chatbots entirely. For a lot of tasks it makes more sense to put the AI inside the workflow:
- A LinkedIn tool that works while you’re using LinkedIn
- An Amazon tool that works alongside Amazon
- A WordPress tool that works inside WordPress
- A prospecting tool that analyses a business and produces the next action
The user doesn’t need to “chat with AI”. They click Analyse, Generate, Improve, Score, Recommend.
That’s arguably where AI software is heading anyway.
What I’d do if I currently sell Custom GPTs
I’d split what I’ve got into three groups.
1. Existing GPTs that still work
Leave them alone unless there’s a reason to change them. But have a replacement plan ready, because you’re now one policy update away from having no product.
2. New low-ticket tools
This is where the standalone branded AI tool approach wins — especially when the product:
- solves one problem
- has controlled usage
- gives a clear, specific result
- costs between free and roughly $37
- leads naturally into another offer
3. Products with genuine recurring value
For those I’d go further and build proper software: accounts, data, persistent history, billing, usage limits, deeper functionality.
If customers are paying every month, they should be getting more than a password-protected AI page.
The bigger lesson
At first glance the Custom GPT change looks like bad news for AI product creators. And if your entire business model was “I create GPT links and sell them”, then it is.
But the opportunity isn’t disappearing. The wrapper around AI is changing.
We’ve been through:
Prompt packs ? Custom GPTs ? AI tools
And I suspect that third category is where most of the opportunity now sits.
Because customers don’t care whether something is technically a GPT, Claude, an API, a Worker, a Project or an Agent. They care about one thing:
“What does this do for me?”
So instead of “here’s my AI chatbot”, think “here’s a tool that solves this specific problem”.
The AI becomes the engine underneath. The outcome becomes the product.
Custom GPT alternatives: FAQ
Can I still create a Custom GPT?
Not on a personal ChatGPT account. OpenAI’s documentation states that new GPT creation and publishing are unavailable on Free, Go, Plus and Pro. Creation now sits with Business, Enterprise and Edu workspaces, subject to workspace settings.
Will my existing Custom GPTs stop working?
Not according to OpenAI’s current documentation — existing GPTs remain usable and can still be edited if you continue to meet the plan and permission requirements. That said, I wouldn’t build a new product line on top of them.
What is the best custom GPT alternative for selling low-ticket products?
A small branded AI tool on your own URL, delivered with a simple access code. It gives you the same buy-and-use simplicity as a GPT link, but you own the branding, the experience and the upsell path.
Doesn’t running my own AI tool cost money?
Yes. You pay for API usage rather than the customer paying through their own ChatGPT account. For narrow tools that do one short job, the per-use cost is small and predictable — and it gets easier to control when the tool has a defined input and a defined output rather than an open-ended chat.
Do I need to be a developer to build one?
No. The approach I’ve been studying uses AI to write most of the code. You need to understand the workflow you’re selling — the questions, the process, the output — far more than you need to understand the code.
Where I’m going next with this
I’m digging deeper into the standalone branded tool approach, because I think it’s the most practical replacement for the small Custom GPT products a lot of us have been creating.
Rather than publishing the full technical process publicly, I’m putting a practical walkthrough inside the paid level of my Skool community. The aim isn’t to turn anyone into a programmer — it’s focused on:
Idea ? AI tool ? simple access ? customer result ? upsell
In other words: how to take something you’d previously have packaged as a Custom GPT and turn it into a small branded tool that you actually control.
If you want to follow along as I test the process, the community is here.
