Custom GPTs start private by default, but sharing, connectors, workspace settings, and provider data policies determine whether they stay private.
Your conversations are not visible to other users, and the GPT itself remains tied to your account unless you explicitly share it. Platforms like CustomGPT.ai offer privacy-focused controls, but users should always review data handling, retention, and sharing policies.
Privacy, however, depends on the platform settings, access controls, and how the platform works, including whether you publish or integrate your GPT with others. That’s the straightforward answer—but it’s not the whole story.
Building a private GPT for business data? Review CustomGPT.ai security controls or create a source-grounded GPT from your own content.
TL;DR
- Custom GPTs are private by default – your chats aren’t visible to other users.
- A Custom GPT stays tied to your account unless you choose to share it.
- Security depends on the platform (e.g., encryption, compliance policies).
- Features like web access, APIs, or sharing can affect privacy.
- You can keep Custom GPTs safe by using enterprise plans, strict access controls, and limiting sensitive data.
The rise of Custom GPTs is reshaping how teams deploy AI.
As more businesses adopt Custom GPTs, product managers and IT leaders are asking deeper questions: How secure are these models? What happens to my data when I upload it? Can others see what I’m doing?
In this article, we’ll break down everything you need to know: what “private” really means for Custom GPTs, how secure they are, whether you can share them, and the steps you can take to keep them safe.
What Are Custom GPTs?
Custom GPTs are personalized versions of the GPT model that you can tailor to your needs. They allow businesses and individuals to build AI assistants with specific instructions, knowledge bases, and even external integrations.
For example:
- A product team might use a Custom GPT trained on technical documentation.
- A support team could deploy one that answers FAQs automatically.
- A founder might build a GPT that pitches their product in their brand voice.
CustomGPT.ai makes generative AI accessible without coding, but like any tool handling data, privacy and platform security matter.
What Does “Private” Mean for Custom GPTs?
In the context of AI, private means your GPT and its conversations are not accessible to others unless you explicitly share them.
- A Custom GPT you create lives in your account.
- Only you (or those you grant access to) can use it.
- Conversations are not shared across users.
Think of it like a document in Google Drive—you decide whether it stays private, goes to your team, or is made public.
Are Custom GPTs Secure?
Yes, but security depends on the hosting platform and your plan. Most platforms, including OpenAI and CustomGPT.ai, apply strong security measures:
- Encryption in transit and at rest protects conversations.
- Account-based access controls limit who can use your GPT.
- Enterprise plans include SOC 2 compliance, GDPR alignment, and admin controls.
For regulated industries, it’s important to check compliance guarantees.
However, security also depends on usage. Avoid uploading sensitive or regulated data unless your workspace, vendor contract, and compliance review explicitly cover that data category.
Can Other People See Your Chat in GPTs?
No, other people cannot see your chats. Conversations are private to the user, even when multiple people interact with the same GPT.
If you and a colleague both use the same support GPT, you’ll each see only your own history. The GPT creator does not automatically see your chats either. Sharing the GPT shares functionality, not personal logs.
Can You Share Custom GPTs With Other People?
Yes, you can share custom GPTs in ChatGPT. By default, they’re private, but you can make them available. Options typically include:
- Keeping them private to your own account.
- Sharing with a specific group, such as your team or company.
- Publishing them publicly, making them available to anyone.
Pro tip: Sharing a GPT doesn’t expose your private conversations. It only gives access to the GPT’s functionality, not your chat history.
Can Custom GPTs Access the Internet?
Custom GPTs don’t have internet access by default. They work from their training data and any custom files you upload.
However, many platforms offer optional browsing or API connectors. This enables:
- Real-time information retrieval from the web.
- External integrations with business tools or databases.
Enabling these features increases functionality but also expands privacy considerations, since queries may travel outside the closed model environment.
Can Custom GPTs Communicate With Each Other?
Not automatically. Custom GPTs don’t talk to each other unless you set up workflows that connect them.
Some organizations link GPTs through:
- APIs where one GPT’s output feeds another.
- Automation platforms like Zapier or Make.
- Custom middleware designed for multi-agent systems.
This can be powerful, but it requires intentional design. By default, each GPT operates independently.
Is There a Limit to Using Custom GPTs?
Yes, Custom GPTs have usage limits, and these vary by plan.
- Free users: Usage caps vary by the current OpenAI plan and model access.
- Pro users: Higher usage quotas, faster response times.
- Enterprise plans: Custom contracts, higher limits, and dedicated resources.
Limits may also apply to:
- The number of documents or files uploaded.
- API usage measured in tokens.
- Conversation length or context size.
Understanding these limits helps with planning deployments at scale.
How Do You Keep a Custom GPT Private and Secure?
Keeping Custom GPTs secure requires both platform features and good practices.
Best practices include:
- Keep GPTs private unless sharing is necessary.
- Restrict sensitive data unless your plan guarantees compliance.
- Use enterprise controls for admin visibility and audit logs.
- Regularly review access to ensure settings align with policies.
- Disable optional tools like web browsing if not required.
By combining platform protections with operational discipline, organizations can confidently deploy Custom GPTs in secure environments.
Frequently Asked Questions
Are custom GPTs private by default?
Yes. In ChatGPT personal, Team, and Enterprise workspaces, GPT visibility can be limited to only you, specific users or a workspace, anyone with a link, or the GPT Store, depending on plan and workspace settings. Visibility is separate from data policy: it does not by itself change model training use, chat history, file retention, or workspace compliance behavior. Before uploading client data, confirm workspace data controls and retention policy. A safer rollout is to keep drafts private, then issue one client-specific link after forwarding risk is accepted.
Can the creator of a custom GPT see your conversations?
No. By default, the creator of a custom GPT cannot view your individual chats, prompts, or uploaded files. However, if you run an Action, the fields required for that Action are sent to the external service provider. Verify current data-control and Action settings before sending sensitive information, because policy language can change and external vendors keep their own retention rules. Example: if a GPT Action sends your shipping address to a CRM, that CRM vendor receives it under its own policy, so only submit fields you would share directly with that vendor.
Will my chats with a custom GPT be used to train AI models?
Yes, depending on your plan and settings. On personal workspaces, chats may be used for model improvement if Improve the model for everyone is on; you can turn it off in Data Controls. Business, Enterprise, Edu, and API data are excluded from training by default. Temporary Chat does not appear in history and is not used for training, though OpenAI may keep a copy for safety purposes for up to 30 days. If you need strict client-by-client isolation for legal or contractual reasons, use separate workspaces or tenants per client instead of a shared workspace.
How do agencies share custom GPTs with clients without leaking data between them?
If client data includes PII, regulated records, or contractual confidentiality terms, do not use link-only sharing; require SAML 2.0 SSO and one isolated bot tenant per client. You can still use URL sharing for public demos, but identity assurance is weak because links can be forwarded. The minimum reliable pattern is IdP-enforced authentication plus per-client isolation of index, memory scope, and chat history. Set written privacy terms before launch: customer content is excluded from model training where contractually required, support access is limited and logged, and retention/deletion windows are defined in the customer agreement.
What privacy certifications should I look for in a custom GPT platform?
For enterprise selection, screen for verified controls first, then compliance outcomes. Ask for current SOC 2 Type II audit status, the latest report period, and scope boundaries across the application, API, storage, and support systems. Require encryption at rest (AES-256) and in transit (TLS 1.2+). For GDPR readiness, ask for contractual controls: a signed DPA, subprocessor list, SCC support, and region options. You should also confirm the privacy decisions that usually block approval: whether your content is used for model training, who can access uploaded and chat data, and exact retention and deletion timelines. Treat vague deletion promises as a gap until the vendor provides written terms.
Does connecting external APIs or web browsing reduce privacy in a custom GPT?
Yes, privacy can decrease when you turn on external connections. GPT Actions connect ChatGPT to external apps, and the data needed to complete an Action may be sent to that action endpoint. Data is shared with third parties only when your GPT uses a connected Action or browsing provider for that request; otherwise it stays under your workspace controls. For sensitive client data, keep Actions and browsing off by default, then enable only vendors with signed privacy terms, fixed retention limits, and explicit no-training commitments.
How does CustomGPT.ai’s privacy compare to OpenAI’s custom GPTs?
As of March 2026, compare policy scope line by line. OpenAI’s consumer policy says it may use Free and Plus content to improve services unless you opt out; OpenAI Team, Enterprise, and API data are excluded by default. For CustomGPT.ai, review the security documentation for bot/account isolation, model-training policy, support-access controls, and deletion windows before deployment. Verify current SLAs before uploading confidential data.
Conclusion
So, are Custom GPTs private? Yes—your GPTs and chats are private by default. But privacy depends on your platform, plan, and how you configure sharing.
For product managers and IT/security leaders, the key is to balance functionality (like web access or team sharing) with security controls. With the right setup, Custom GPTs can be powerful, private, and safe to deploy at scale.
Ready to build your own Custom GPT? Sign up now and get started.
Build a Custom GPT from your business content.
Drive revenue, save time, and delight customers with powerful, custom AI agents.
Private, source-grounded AI for business teams
Related Resources
If you’re comparing privacy, setup, and business use cases, these guides add useful context.
- How to Create a Custom GPT — A practical walkthrough for building a custom GPT in OpenAI, from setup steps to basic configuration decisions.
- Custom ChatGPT Overview — An overview of what custom ChatGPT tools are, how they work, and where they fit into different workflows.
- Private GPT for Company Training — A focused look at using a private GPT for internal training, with attention to security, knowledge control, and team adoption.