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Google Gemini Enterprise

Google Cloud's enterprise agent platform (formerly Agentspace) — a company-branded search and assistant layer plus a no-code builder for agents grounded in an organization's own data and connected apps.

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What it does

Google Gemini Enterprise gives employees a single, company-branded search and assistant experience across an organization’s data and connected apps, paired with a no-code builder for creating custom agents grounded in that same data. It bundles several pre-built agents — Deep Research, NotebookLM, Idea Generation, and Data Insights among them — so common tasks don’t require building an agent from scratch, and it supports the Agent2Agent (A2A) protocol for letting agents on different platforms hand off work to each other rather than staying siloed within Google’s own products.

The product itself is a moving target: it started as Agentspace, was renamed Gemini Enterprise in late 2025, and then absorbed Vertex AI into the same platform at Cloud Next 2026. Anyone comparing older reviews or documentation should account for the fact that they may be describing a product structure that no longer matches what’s sold today, and should re-check current editions and pricing directly with Google Cloud before budgeting.

Ideal users

  • Enterprises already using Google Cloud or Workspace that want a unified, branded AI assistant across internal data sources
  • IT and knowledge-management teams wanting enterprise search plus agent creation in one platform
  • Organizations wanting pre-built agents, such as deep research or data insights, rather than building everything from scratch
  • Teams wanting to build agents that can call across multiple platforms via the Agent2Agent (A2A) protocol

Who should avoid it

  • You're not a Google Cloud or Workspace shop — much of the integration value assumes that ecosystem
  • You want a single individual-use agent rather than an enterprise search-and-agent platform
  • You need predictable low cost — per-user pricing plus separate token and compute billing for custom agents can add up quickly
  • You need a stable, unchanging product name and roadmap — this platform has been renamed and restructured more than once in the past year

Key features

  • Company-branded multimodal search agent across enterprise data sources and connected apps
  • A no-code agent builder for creating custom agents grounded in organizational data
  • Pre-built agents, including Deep Research, Gemini Notebook (formerly NotebookLM), Idea Generation, and Data Insights
  • Pre-built connectors for common enterprise applications
  • Agent2Agent (A2A) protocol support for cross-platform agent communication
  • Access to Google's broader model lineup, including some third-party options, through the same platform

Pros

  • Combines enterprise search and agent-building in one product rather than separate tools
  • Pre-built agents cover common use cases, such as research and data insights, without custom development
  • A2A protocol support is a genuine step toward agents interoperating across vendors, not just within Google's own stack
  • Backed by Google Cloud's broader model and infrastructure ecosystem

Cons

  • Significant recent rebranding — Agentspace to Gemini Enterprise, then Vertex AI absorbed into the same platform — makes documentation and vendor comparisons harder to pin down
  • Full value depends on being invested in Google Cloud or Workspace already
  • Tiered per-user pricing plus separate custom-agent token and compute billing complicates cost forecasting
  • Recent platform restructuring means some features and pricing may still be in flux

Pricing

Free — $21/user/month (Business edition, annual commitment)

Google rebranded Agentspace to Gemini Enterprise around October 2025 and folded Vertex AI into a broader 'Gemini Enterprise Agent Platform' at Cloud Next 2026, so pricing or naming found in older reviews may already be outdated. As of July 2026, Standard is $30/user/month with a 12-month commitment or $35/user/month without one; Plus is $50/user/month with an annual commitment or $60/user/month without one; Frontline is custom-priced and requires at least 150 Standard or Plus seats. Custom agents are billed separately for token and compute usage on top of the per-seat price.

Typical workflows

  • An enterprise deploys Gemini Enterprise as a company-wide search assistant that answers questions by pulling from Google Workspace, internal wikis, and connected third-party apps.
  • An IT team uses the no-code agent builder to create a custom agent grounded in internal documentation, then makes it available to employees inside the unified assistant.

Integrations

  • Google Workspace (Drive, Docs, Gmail)
  • Pre-built connectors for common enterprise apps, including Salesforce, Confluence, Jira, Microsoft SharePoint, ServiceNow, Slack, Box, Dropbox, and GitHub
  • Agent2Agent (A2A) protocol for cross-platform agent communication

Privacy & security notes

Google states that Gemini Enterprise follows Google Cloud's standard customer data protections: customer content is not used to train Google's underlying AI models without permission, and data stays within the customer's own project rather than being shared across organizations.

Frequently asked questions

What happened to Google Agentspace?

Google renamed Agentspace to Gemini Enterprise around October 2025, and at Cloud Next 2026 folded Vertex AI into the same platform as the 'Gemini Enterprise Agent Platform.' The Agentspace name is retired from Google's current materials as of mid-2026.

Do I need Google Workspace to use this?

Not strictly, but most of the platform's value — branded search across company data, Workspace-native connectors — assumes an organization already using Google Cloud or Workspace.

What's the Agent2Agent (A2A) protocol?

It's an open protocol, now governed by the Linux Foundation after Google donated it in June 2025, intended to let agents built on different platforms communicate and hand off tasks to each other rather than being locked to a single vendor's ecosystem. As of April 2026, more than 150 organizations support it, including AWS, Microsoft, Salesforce, SAP, ServiceNow, IBM, and Cisco alongside Google.

How does this compare to Microsoft Copilot Studio or Agentforce?

All three are enterprise agent-building platforms tied to a specific ecosystem — Gemini Enterprise to Google Cloud/Workspace, Copilot Studio to Microsoft 365, and Agentforce to Salesforce. The right choice usually follows whichever ecosystem an organization's data and apps already live in.

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