# Google Agentspace review

> Google Agentspace (branded as Gemini Enterprise app) gives organizations unified intranet search and no-code AI agent building across SaaS tools like Microsoft 365, Google Workspace, Jira, and SharePoint.

- Canonical: https://toolsrankai.com/tools/google-agentspace
- Official site: https://cloud.google.com/products/agentspace
- ToolsRank rank / score: #209 / 76.1 (methodology https://toolsrankai.com/methodology)
- Categories: AI Agent & Chatbot Builders, AI Knowledge Management, AI Enterprise Search
- Pricing: From $21/seat/month. At the review date (September 2026), pricing starts at $21 per seat/month for the Business edition and $30 per seat/month for Standard/Plus editions. A usage-based Pay-as-you-go edition ($0 seat fee, minimum 20 seats) is rolling out. Frontline editions and custom enterprise tiers require contacting sales. Verify current rates on Google Cloud.
- Fact-checked: 2026-09-08 · First listed: 2026-09-23

## Verdict

Google Agentspace suits mid-sized to enterprise organizations looking to connect scattered documentation across Google and Microsoft stacks while building custom workflow agents with IT guardrails. It is not intended for single-user freelancers or hobbyists who do not need enterprise connector management and governance infrastructure.

## What it is

Google Agentspace (marketed as the Gemini Enterprise app) is an enterprise platform combining permission-aware workplace search, conversational assistance, and agent orchestration. It bridges data silos by offering pre-built connectors to cloud storage and enterprise productivity suites, including Google Drive, Microsoft OneDrive, SharePoint, Confluence, Jira, and HubSpot.

The system enables employees to query business repositories using natural language, returning answers grounded in organization-specific data without violating permissions. Beyond basic search, users can run multi-step, multi-app agentic workflows. Teams can build custom automations through a drag-and-drop Workflow Builder or deploy pre-engineered agents, such as Gemini Notebook and Deep Research. For developers, the platform integrates with Google's Agent Development Kit (ADK) and developer tools like Android Studio and Google Antigravity.

Governance and security are central to the platform. It integrates Model Armor to block prompt injection, sensitive data leakage (PII, credentials), and malicious links at runtime. Administrative controls include Customer-Managed Encryption Keys (CMEK), VPC Service Controls, data residency boundaries, and compliance support for HIPAA and FedRAMP High workloads.

**What makes it different:** Unlike generic AI chat interfaces, it couples deep permission-aware connectors for both Google Workspace and Microsoft 365 environments with native Model Armor threat screening and no-code agent building.

**Best for:** enterprises needing unified, permission-aware AI search across Google Workspace, Microsoft 365, and Jira alongside no-code agent orchestration

**Not ideal for:** individual creators or small freelance operations needing only a standalone consumer chatbot without enterprise data connectors

## Key features

- **Unified Enterprise Search** — Query across business tools including Google Drive, OneDrive, SharePoint, Jira, Confluence, and HubSpot using permission-aware, multimodal search.
- **No-Code Workflow Builder** — Create custom agents and automate multi-step, multi-app business tasks through a drag-and-drop visual interface.
- **Pre-built Agent Fleet** — Access specialized Google-made agents such as Deep Research and Gemini Notebook for research and synthesis.
- **Model Armor Security** — Runtime AI firewall that screens prompts and outputs to block prompt injection, prevent PII or credential leaks, and halt malicious URLs.
- **Enterprise Compliance & Sovereignty** — Support for VPC Service Controls, Customer-Managed Encryption Keys (CMEK), Access Transparency, data residency boundaries, HIPAA, and FedRAMP High.
- **Extensibility via Agent Development Kit** — Import custom and third-party agents developed using Google's Agent Development Kit (ADK) in Standard and Plus editions.

## Use cases

- **Cross-Platform Knowledge Discovery** — Search across scattered corporate repositories to locate internal documentation, project owners, and financial filings through a single prompt.
- **Agentic Marketing and Sales Intelligence** — Synthesize market trends, run deal forecasting, draft email responses, and build campaign assets across CRM and martech data.
- **Legal and Financial Analysis** — Accelerate regulatory scanning, NDA drafting, DSAR responses, KYC checks, and risk analysis using domain-specific agent skills.
- **Employee Support and HR Triage** — Deliver 24/7 internal HR and expense policy answers to staff while automating onboarding workflows.

## How it works

1. Connect company repositories like Microsoft 365, Google Workspace, Jira, and SharePoint via pre-built connectors.
2. Data indexing maps internal permissions and knowledge sources into a secure retrieval foundation.
3. Employees query the unified chat interface or invoke domain-specific agents to summarize, generate content, or run workflows.
4. Runtime security layer (Model Armor) filters inputs and outputs for prompt injections and sensitive data leaks.
5. Admins configure no-code workflows or import ADK agents with centralized visibility and policy enforcement.

## Pros

- Native support for both Microsoft 365 (OneDrive, SharePoint) and Google Workspace data repositories
- Model Armor runtime protection included against prompt injection and sensitive data leaks
- Provides both no-code drag-and-drop agent building and ADK-based developer extensibility
- Customer data and prompts are not used to train Google models or sold to third parties

## Limitations

- Advanced governance features like VPC-SC and CMEK require Standard or Plus editions
- Certain developer capabilities such as Google Antigravity and Pay-as-you-go edition are rolling out gradually to select groups

## Pricing

| Plan | Price | Notes |
| --- | --- | --- |
| Business | $21 / per seat / month (billed monthly or annually as listed by vendor starting rate) |  |
| Standard / Plus | $30 / per seat / month starting rate |  |
| Pay-as-you-go | $0 / seat fee (usage billed at standard resource rates; requires 20+ seats) |  |

At the review date (September 2026), pricing starts at $21 per seat/month for the Business edition and $30 per seat/month for Standard/Plus editions. A usage-based Pay-as-you-go edition ($0 seat fee, minimum 20 seats) is rolling out. Frontline editions and custom enterprise tiers require contacting sales. Verify current rates on Google Cloud. Vendor prices and limits change; verify on the official pricing page before purchasing.

## Score factors

- editorial: 82 (editorial)
- utility: 86 (editorial)
- trust: 85 (editorial)
- freshness: 88 (editorial)
- engagement: 5 (measured)
- momentum: 50 (measured)

## Languages, platforms, integrations

- Languages: English, Italian, Spanish, French, German
- Platforms: Web, Mobile web
- Integrations: Google Workspace, Microsoft 365, Google Drive, Microsoft OneDrive, Microsoft SharePoint, Jira, Confluence, HubSpot, ServiceNow, Android Studio

## FAQ

### What is Google Agentspace / Gemini Enterprise app?

It is an enterprise agentic platform that brings generative AI and unified intranet search to employees, enabling teams to discover, create, share, and govern AI agents grounded in internal organizational data.

### Does Google use enterprise data to train its models?

No. According to Google Cloud's official terms, your data—including prompts, outputs, and internal documents—is not used to train Google models or models for any other customer, nor is it sold or used for advertising.

### What is the difference between Business and Standard/Plus editions?

The Business edition supports up to 300 seats with 25 GiB pooled storage per seat and basic no-code agent building. Standard and Plus editions support unlimited seats, 75 GiB pooled storage per seat, third-party agents, Agent Development Kit (ADK) imports, and advanced security such as VPC-SC and CMEK.

### What is Model Armor?

Model Armor is a built-in AI security system that provides in-line threat protection. It blocks prompt injection attacks, detects malicious URLs, and monitors against sensitive data leakage, such as personal identifiable information (PII) or credentials.

## Alternatives

- [Glean](https://toolsrankai.com/tools/glean) — Enterprise search and an AI assistant that answer questions across a company's apps with permissions intact.
- [Guru](https://toolsrankai.com/tools/guru) — A company wiki, enterprise search, and AI answers with verification workflows to keep knowledge trusted.
- [Microsoft Copilot](https://toolsrankai.com/tools/microsoft-copilot) — Microsoft's assistant across Windows, Edge, and Microsoft 365 apps for work and personal use.

## Sources checked

- [Google Cloud Gemini Enterprise Product Page](https://cloud.google.com/products/agentspace)
- [Google Cloud Gemini Enterprise Documentation](https://cloud.google.com/gemini-enterprise/docs)
- [Google Cloud Model Armor Overview](https://cloud.google.com/security/products/model-armor)

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Cite https://toolsrankai.com/tools/google-agentspace for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.