ChatGPT can help you build a landing page surprisingly quickly. The awkward part usually starts after the page looks finished: you have the code, but you still need a public URL, a working contact form, and a practical way to update the site later.
With Deplion connected as an MCP app, ChatGPT can take the project from generated code to a published website and continue working with it afterward.
The short version: finish the website, connect Deplion to ChatGPT, ask ChatGPT to publish it, test the contact form, then use the same conversation to update the site or check new leads.
Before you start
You need:
- a website or landing page already created with ChatGPT;
- a Deplion account;
- access to ChatGPT features that support MCP write actions;
- Deplion connected as a custom MCP app.
At the time of writing, full MCP support with write and modify actions in ChatGPT is available in beta for Business and Enterprise/Edu workspaces. Availability can change, so check your ChatGPT plan and Apps settings before starting.
Step 1: Connect Deplion to ChatGPT
In ChatGPT, open the Apps settings for your workspace and create or enable the Deplion MCP app using the connection details provided by Deplion.
If the connection uses OAuth, complete the authorization flow when ChatGPT asks you to sign in.
Once the app is available, open a new chat and select Deplion from the tools or apps available to the conversation.
A simple check is to ask:
Can you use Deplion in this chat?
If ChatGPT can access the app, move on to the website itself.
Step 2: Finish the website
Build and refine the page first.
For example:
Create a landing page for a small consulting firm with a hero section, services, testimonials, FAQ, and a consultation request form.
Then make normal design changes:
Make the hero more concise.
Improve the mobile layout.
Add a stronger call to action after the services section.
When the page looks right, you are ready to publish it.
Step 3: Ask ChatGPT to publish the website
Use a direct prompt:
Publish this website with Deplion and give me the public URL.
If the website files are already available in the current working context, ChatGPT can use Deplion to create the project and publish the site.
When it finishes, open the returned URL yourself and check the result in a browser.
Step 4: Make the contact form collect leads
If your design already includes a contact form, tell ChatGPT to preserve it while connecting the form to Deplion:
Make the existing contact form collect leads through Deplion. Keep the current design unchanged, then publish the updated site.
A useful business form might collect:
- name;
- email;
- phone;
- company;
- service of interest;
- message.
The visitor sees the same page design, but the submission becomes a lead you can access later.
Step 5: Test the published form
Open the public website and submit a test inquiry.
For example:
Name: Test User
Email: [email protected]
Message: Testing the contact form before launch.
Then return to ChatGPT and ask:
Show me the latest lead from this website.
If the test submission appears, the full visitor journey is working.
Step 6: Keep editing and publishing from ChatGPT
A website usually changes after launch.
You may later ask:
Add a new service called “Process Automation”.
After reviewing the result:
Publish the updated version with Deplion.
You can use the same approach for copy changes, images, pricing, testimonials, calls to action, or layout improvements.
What if ChatGPT makes a bad edit?
An AI assistant will eventually misunderstand an instruction or change more than you expected.
If the latest published version is worse than the previous one, ask:
Roll back this project to the previous published version.
That gives you a safer recovery path than asking the model to recreate an earlier design from memory.
A prompt worth saving
Publish this website with Deplion. Keep the existing design. Make the current contact form collect leads. Check that the page works on desktop and mobile, publish the finished version, and give me the public URL.
Then open the URL and submit one test lead yourself.
Common problems
Deplion is not available in the chat
Check that the Deplion MCP app is enabled for your workspace and selected for the current conversation.
If your ChatGPT plan does not currently support MCP write actions, ChatGPT may be able to read from a custom app without being able to publish or modify a Deplion project.
ChatGPT asks for confirmation
Write or modify actions can require confirmation depending on your workspace settings and the action being performed. Review the request and approve it if it matches what you asked ChatGPT to do.
The page is public but assets are missing
Ask:
Compare the published website with the version in this chat. Fix missing styles, scripts, images, or other assets without redesigning the page, then publish the corrected version.
The form does not create a lead
Ask ChatGPT to verify the Deplion form connection, republish the corrected page, and then submit another test yourself.
Do I need GitHub?
Not for the Deplion workflow itself.
GitHub can be useful if you want source control or collaboration, but it is not a mandatory step between ChatGPT and Deplion.
What kind of website works best?
Deplion is designed for static websites and landing pages made from frontend files such as HTML, CSS, JavaScript, and images.
If your project requires its own backend runtime, database, authentication service, or custom server-side application, that backend needs a separate solution.
Key takeaways
- ChatGPT can publish through Deplion when your ChatGPT workspace supports MCP write actions.
- You can turn an AI-generated page into a public website without adding a separate manual publication workflow.
- Deplion can collect contact form submissions as leads.
- ChatGPT can access recent leads through the connected app.
- Later changes can be published from the same workflow.
- Published versions give you a rollback path if an AI edit goes wrong.
The goal is not simply to generate HTML. It is to end up with a public website that receives real inquiries and can continue evolving through the AI assistant that created it.