Loading tutorials…
Loading tutorials…
ChatGPT Team and Enterprise unlock shared GPTs, no-train data privacy, and admin controls. Setup is more nuanced than the marketing pages suggest. This is the practical walkthrough.
Who this is forAdmins setting up ChatGPT for marketing teams of 3-50 people. Whether you need Team ($25/user/mo) or Enterprise (custom) depends on your specific needs — this tutorial helps decide.
What you'll need
Step 1
Team for 2-50 users. Enterprise for 50+ OR strict compliance (SSO, audit logs, custom retention).
Team ($25/user/mo, annual $30/user/mo monthly): up to 50 users, shared GPTs within workspace, no training on your data, admin console, longer context (32K tokens).
Enterprise (custom pricing, typically $60-100/user/mo): unlimited users, SSO/SAML, audit logs, custom data retention (1-365 days), unlimited GPT-4o usage, priority support.
Team is right for: marketing teams 3-50, no SSO required, standard data privacy needs.
Enterprise is right for: 50+ users, SSO required, regulatory compliance (financial services, healthcare, government), custom retention required.
Most growth-stage marketing teams (5-30 people) land on Team. Pick Enterprise only when you have a specific Enterprise-only requirement.
Step 2
chatgpt.com → Settings → Subscription → ChatGPT Team. Set up workspace, billing, and initial admin.
If your team is currently on Plus, you can upgrade individual seats to Team. Or start fresh as Team.
Go to chatgpt.com/team. Click "Upgrade to Team."
Choose monthly ($30/user/mo) or annual ($25/user/mo). Annual saves 17%.
Add the initial seats (you can adjust later).
Set up payment method.
Name your workspace: your company name (e.g., "EverestX Marketing").
You are now the workspace admin.
Step 3
Workspace settings → set data retention, admin controls, member permissions, default GPT visibility.
Click your avatar (top-right) → "Workspace settings."
Data retention: default 30 days. Set higher if your team references past chats. Lower if you have strict data governance.
"Models" setting: choose which models the workspace can use. GPT-4o is default. Some teams disable older models to standardize.
"Member permissions": control whether members can create Custom GPTs, share to GPT Store, etc. For marketing teams, allow Custom GPT creation but restrict GPT Store publishing (keeps internal IP internal).
"Default GPT visibility": new GPTs default to "Anyone in workspace" or "Just me." Pick based on your sharing culture. Default visibility = workspace is healthier for collaboration.
Step 4
Workspace settings → Members → + Invite. Send invites via email. Members get $25/mo per seat.
In Workspace settings → Members → "+ Invite Members."
Enter email addresses of team members. Use work emails (firstname@yourdomain.com), not personal Gmails — for security and SSO compatibility.
Assign role: Admin (can change settings + billing) or Member (uses ChatGPT but cannot change workspace).
Send invites. Members receive an email; they accept and are added.
Each member counts as a seat. Billing updates accordingly.
Step 5
Create Custom GPTs for common marketing tasks. Set visibility to "Anyone in workspace." Build a library team can use.
Build 5-7 marketing GPTs (covered in tutorial 5): Email Sequence Drafter, Ad Copy Generator, SEO Brief Builder, Content Ideator, Social Post Writer.
For each, set visibility to "Anyone in workspace" in GPT settings.
Members can now access these GPTs via Explore GPTs → Workspace tab.
Document each GPT's purpose in a Notion/Confluence page so team knows which to use when.
Iterate the GPTs based on team feedback. Each GPT improves over time.
Step 6
Document what data team should + should not paste into ChatGPT. Even with no-training, common-sense rules matter.
Team and Enterprise do NOT train on your data. But you still want to manage what gets pasted.
Document: do paste — marketing copy, ideas, briefs, anonymized data. Do NOT paste — customer PII (full names, emails, addresses), passwords, payment data, source code (unless explicitly approved).
Share the norms doc with all team members.
For Enterprise: enable audit logs (Workspace settings → Security → Audit Logs). Reviews show who accessed what when.
Annual training reminder for the team on AI privacy norms.
Step 7
Monthly: review who is actively using ChatGPT. Reclaim unused seats. Add seats for power users.
Workspace settings → Members → shows "last active" per member.
Members who have not used ChatGPT in 30 days: reach out. Are they not finding value? Do they need training?
Members who consistently hit usage limits: consider Enterprise if your team is scaling. Or restructure how heavy users access (e.g., move them to a different plan tier).
Reclaim unused seats quarterly. Adds $25/mo savings per seat reclaimed.
Track ROI: what marketing output does ChatGPT enable that previously required hiring or hours of work? Make the value visible to leadership.
Common mistakes
Picking Team when Enterprise was needed
What goes wrong: You set up Team for 30 users. Six months later, compliance requires SSO + audit logs. You migrate to Enterprise mid-flight, losing GPTs and shared knowledge in the process.
How to avoid: Assess compliance needs BEFORE picking tier. If you need SSO, audit logs, or custom data retention, Enterprise from day one. Migration is painful.
Using personal Gmails for member invites
What goes wrong: When an employee leaves, their personal Gmail-bound seat goes with them. You lose access to their Custom GPTs, conversation history, and shared workspace context.
How to avoid: Always invite with work emails. SSO if Enterprise. When employees leave, you control the email and the account.
No data privacy norms
What goes wrong: Team members paste customer PII, internal financials, and product source code into ChatGPT. Even on Team/Enterprise (no training), this expands attack surface and may violate GDPR/CCPA if data includes EU/CA customers.
How to avoid: Document data norms BEFORE rolling out to team. What to paste, what not to paste. Annual refresher training.
Letting Custom GPTs accumulate without governance
What goes wrong: Team builds 50 Custom GPTs over a year. No documentation, no naming convention, no quality control. Members cannot find the right GPT for their task. Library becomes a junk drawer.
How to avoid: Naming convention from day one ("Task — Audience — Tone"). Documentation page listing all approved GPTs. Quarterly audit + cull of unused GPTs.
Paying for unused seats
What goes wrong: $25/mo per seat. 10 unused seats = $250/mo wasted = $3,000/year. Multiple this across years and unused seats are a significant tax.
How to avoid: Quarterly review of last-active dates. Reclaim seats unused for 60+ days. Add back when needed. Active seat hygiene saves real money.
Recap
Done — what's next
How to build a Custom GPT for marketing workflows
Read the next tutorial
Hand it off
ChatGPT Team setup is more nuanced than the marketing pages suggest. A specialist can advise on tier choice, set up the workspace correctly, and build the initial GPT library. From $14-16/hr — most Team setup engagements land at $300-700.
See specialist rates
No. Both Team and Enterprise have data training OFF by default. Your conversations, files, and Custom GPT inputs are not used to train OpenAI models. Plus and Free plans DO train by default unless you opt out.
Yes. Plus users can be invited to a Team workspace. Their personal Plus subscription remains separate; they can use it OR Team. For full team consolidation, invite them to Team and have them downgrade their personal Plus.
2 seats minimum. Most teams start at 3-5 (founders + early marketers) and scale to 10-30 over 6-12 months.
Yes. Enterprise supports SAML SSO with major providers (Okta, Azure AD, Google Workspace). Once enabled, all members authenticate via your IdP. Reduces credential management overhead.
Default 30 days. Admins can adjust in workspace settings (7-365 days). For compliance, choose retention that matches your data governance policy. Enterprise allows custom retention down to 0 days (no storage).
ChatGPT for Marketing
Custom GPTs are the leverage move for marketers who do the same prompts repeatedly. Build once, reuse forever, share with the team. This is the build workflow.
ChatGPT for Marketing
ChatGPT Actions let your Custom GPTs call external APIs — pull data from your CRM, post to social, query analytics. The leverage move for marketers who automate AI.
ChatGPT for Marketing
Three LLMs, three personalities. ChatGPT is the generalist. Claude is the writer. Gemini is the Google-integrated workhorse. Picking the right one (or two) compounds across thousands of prompts.
Claude for Marketing
Claude Team unlocks shared Projects, no-train data privacy, and admin controls. Setup is more nuanced than the marketing pages suggest. This is the practical walkthrough.