Private GPT vs Google Gemini: the honest comparison
Gemini for Google Workspace is a strong fit if your firm already lives entirely inside Google Workspace. If your data, tools, or model preferences reach beyond that ecosystem, here is what changes when you move to a private AI assistant built around your business instead of one vendor's suite.
| Google Gemini | Private GPT | |
|---|---|---|
| Requires Google Workspace | Yes, an eligible plan or add on is a prerequisite | No, works alongside whatever stack you run |
| Where it lives | Embedded inside Gmail, Docs, Sheets, Meet | Standalone assistant, your branding, your domain |
| Data it can see | Google Workspace data only: Drive, Gmail, Docs, Calendar | Any of your connected data sources, Google or not |
| AI models available | Google's Gemini models only | Supported options defined in scope |
| Access control | Inherits configured Google Workspace permissions | Configured role based access |
| Branding | Google's | Your logo, your domain |
| Custom workflows | Built for general Workspace tasks | Built around your actual processes |
| Setup | Enabled per license in the admin console | White glove deployment and ongoing management |
| Pricing | License and plan dependent | Scoped after requirements review |
When Gemini is enough
If your firm is fully committed to Google Workspace, every document lives in Drive or Docs, and you are happy with Google's model choices, Gemini is already sitting in your admin console waiting to be turned on. We would rather tell you that than sell you something you do not need.
When you have outgrown it
The moment your firm's knowledge lives somewhere your Google account cannot reach, a client portal, a practice management system, a CRM, or a shared drive outside Google Workspace, Gemini stops being able to answer the whole question. A private deployment is built the other way around: it connects to the places your business actually keeps information, and it is not locked to a single vendor's models or branding.
See what that looks like in practice on the deployment walkthrough, check the security architecture, or go straight to pricing factors.
Questions people ask before switching
Is Google Gemini the same as a private AI assistant?
Not quite. Gemini for Google Workspace is a feature layered into Gmail, Docs, Sheets, and Meet that answers from whatever lives in your Google account: Drive files, Gmail messages, and Calendar events. It requires an eligible Google Workspace plan or add on and stays inside the Google ecosystem. A private AI deployment is a standalone, branded assistant that connects to whatever data sources you actually use, Google or not, and runs on the model of your choice.
Do I need Google Workspace to use Private GPT?
No. Private GPT is not tied to any single vendor's productivity suite. If your team runs on Microsoft 365, a mix of tools, or industry specific software alongside Google Workspace, Private GPT connects to those sources directly instead of requiring everything to live inside a Google account first.
Can I choose which AI model powers my assistant?
Private GPT can be configured with supported model options from selected providers. Availability, endpoint handling, and defaults are confirmed in scope. Google controls the models available within each Gemini product, so review its current documentation for the product you are evaluating.
Does Gemini only see Google Workspace data?
Yes, by design. Gemini answers are grounded in your Google Workspace account, which covers Drive, Gmail, Docs, and Calendar. If your firm's knowledge lives in a CRM, a practice management tool, or shared drives outside Google Workspace, Gemini cannot see it without additional connectors. A private AI deployment is built to connect to the actual places your business keeps information.
See both side by side
Book a meeting to review your Google Workspace workflow and the approved sources, access, integrations, support, timeline, and pricing requirements for a dedicated deployment.