Cross-system knowledge search
Give employees one permissions-aware place to search across business applications and document stores.
Independent tool overview
Gemini Enterprise at a glance
Gemini Enterprise is Google's permissions-aware workplace search, AI assistant, and agent platform for finding information and automating work across connected business systems.
Visit the official Gemini Enterprise site ↗
- Product type
- Enterprise search and agent platform
- Best for
- Company-wide knowledge and workflow automation
- Starting price
- $21 per seat/month
- Free trial
- 30 days
- Deployment
- Google Cloud-managed
Overview
What Gemini Enterprise is
Gemini Enterprise gives employees one interface for searching company knowledge, generating grounded answers, creating content, and running AI agents. It can connect Google Workspace, Microsoft 365, Jira, SharePoint, HubSpot, and other enterprise sources while respecting user-level access.
The product spans more than chat. Organizations can use prebuilt Google agents, create no-code agents in Agent Designer, add compatible custom or third-party agents on eligible editions, and manage agent access from a centralized view.
It is best evaluated as an enterprise platform deployment, not a simple chatbot subscription. Data connectors, identity, permissions, governance, source quality, adoption, and ongoing agent oversight will determine whether the rollout produces reliable value.
Use cases
Who Gemini Enterprise is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Enterprise AI assistants
Ground conversational answers in approved company data rather than relying only on public model knowledge.
No-code agent creation
Let business teams design agents and multi-step workflows without building every integration from scratch.
Governed agent programs
Centralize access, agent discovery, controls, monitoring, and enterprise compliance capabilities.
Capabilities
Core Gemini Enterprise features
Permissions-aware enterprise search
Connects organizational sources and limits retrieved content according to each user's existing access.
Grounded AI assistant
Answers questions and produces deliverables using connected company data and public information where configured.
Prebuilt Google agents
Includes access to Google-made experiences such as Deep Research and Gemini Notebook for enterprise.
No-code Agent Designer
Provides a visual way to create agents for specific business workflows.
Agent Gallery and management
Lets employees discover approved agents while administrators control availability and access.
Business data connectors
Supports Google and third-party sources including Drive, OneDrive, SharePoint, Jira, HubSpot, and Confluence.
Enterprise governance
Standard and Plus add advanced options such as VPC Service Controls, customer-managed encryption keys, data residency, and higher quotas.
Process
How the Gemini Enterprise workflow works
Step 1
Choose an edition
Match team size, quotas, agent needs, security controls, compliance, and storage requirements to Business, Standard, Plus, or pay-as-you-go.
Step 2
Connect identity and data
Configure sign-in, user permissions, and the approved Google or third-party business systems.
Step 3
Pilot high-value use cases
Start with a small set of measurable search, research, content, or workflow tasks and validate answer quality.
Step 4
Deploy agents safely
Publish approved agents, constrain their tools and data access, and keep human review on consequential actions.
Step 5
Monitor and expand
Review usage, quality, permissions, costs, and business outcomes before adding more sources or teams.
Cost
Gemini Enterprise pricing and free plan
Google offers a 30-day trial. Business starts at $21 per seat per month, while Standard and Plus start at $30 per seat per month; pay-as-you-go agent workloads are billed from actual compute and model usage.
Business
From $21/seat/month
For small businesses and teams that want a lighter setup.
- 30-day trial
- Up to 300 seats
- 25 GiB pooled storage and data indexing per seat
- Connectors and no-code Agent Designer
Standard / Plus
From $30/seat/month
For organizations that need enterprise IT controls, higher quotas, and broader agent support.
- 30-day trial
- Unlimited seats
- Up to 75 GiB pooled storage and indexing per seat
- Advanced security and governance
- Custom and third-party agents
Pay as you go
Usage based
Runs agent workloads without a base subscription or upfront commitment.
- Compute and tokens billed separately
- Standard model API rates apply
- Useful for variable agent workloads
Pricing checked . Check current pricing at the source ↗
Assessment
Gemini Enterprise strengths and limitations
Where it stands out
- Unifies enterprise search, assistants, content creation, and agents
- Connects both Google and major third-party business systems
- Uses existing permissions to control retrieved information
- Offers no-code and developer-oriented paths to agent deployment
- Provides advanced governance options for regulated organizations
- Includes a 30-day trial for structured evaluation
What to consider
- Per-seat pricing becomes significant at company-wide scale
- Connector setup and permission cleanup can require substantial administrative work
- Grounded answers can still be incomplete or incorrect when source data is weak
- Agent actions require governance, testing, monitoring, and human escalation paths
- Some advanced security and third-party agent features require Standard or Plus
- The product overlaps with other Google Gemini and agent offerings, which can complicate purchasing decisions
Compare
Gemini Enterprise alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
Microsoft Copilot
Choose Microsoft Copilot when Microsoft 365 is the primary employee workspace and data ecosystem.
Explore Microsoft Copilot →Business Operations
ChatGPT
Consider ChatGPT's business offerings for a general enterprise assistant with a different model and connector ecosystem.
Explore ChatGPT →Agents
Gemini Enterprise Agent Platform
Choose Gemini Enterprise Agent Platform when developers need to build, host, and govern custom production agents rather than buy an employee-facing app.
Explore Gemini Enterprise Agent Platform →Questions
Gemini Enterprise FAQs
What is Gemini Enterprise?
Gemini Enterprise is Google's workplace search, AI assistant, and agent platform. It connects approved company systems so employees can find information, create deliverables, and use agents from one interface.
How much does Gemini Enterprise cost?
Google currently lists Business from $21 per seat per month and Standard or Plus from $30 per seat per month. A pay-as-you-go option bills agent compute and model usage separately.
Is there a Gemini Enterprise free trial?
Yes. Google advertises a 30-day trial for Business and for Standard or Plus.
What can Gemini Enterprise connect to?
Google highlights sources such as Google Drive, Microsoft OneDrive, Microsoft 365, SharePoint, HubSpot, Jira, Confluence, and other supported business systems.
Does Google train its models on Gemini Enterprise customer data?
Google states that prompts, outputs, and customer training data in the Business, Standard, and Plus editions are not used to train Google models or models for other customers.
What is the difference between Business and Standard or Plus?
Business targets teams of up to 300 with a lighter setup. Standard and Plus add higher quotas, unlimited seats, more storage, enterprise compliance and governance controls, and access to custom or third-party agents.
Does Gemini Enterprise eliminate AI hallucinations?
No. Grounding answers in company data can improve relevance, but administrators and users still need source citations, evaluation, and human review for important decisions.
Bottom line
Our Gemini Enterprise verdict
Gemini Enterprise is a strong fit for organizations that want one governed layer for knowledge search and AI agents across mixed business systems. The main work is not buying seats; it is preparing permissions and source data, selecting measurable workflows, and governing agent behavior after launch.
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