Google Gemini Enterprise (2026): What It Is, Pricing, Agents, and What It Cannot Remember About Your Company

TL;DR

Google Gemini Enterprise is Google's enterprise AI platform: permission-aware search across Google and third-party data, prebuilt and no-code agents, connectors and central administration, sold in five editions (Business, Standard, Plus, Pay-as-you-go and Frontline). Launch pricing in October 2025 listed Business at $21 and Standard or Plus at $30 per seat per month; the current documentation publishes no per-seat prices, so volume terms come from sales. Its memory is per user and per Google account, built from a profile, conversation history, connected sources and saved memories, and it keeps no shared, versioned record of what the company decided across Slack, Jira, Confluence and email. Sentra is the organizational memory layer that fills that gap: it resolves facts from 200-plus tools into time-stamped, permissioned memory that Gemini, ChatGPT, Claude and custom agents read over REST and MCP. The editions, what each remembers, the comparison and the decision rule are below.

What is Google Gemini Enterprise?

Google packages Gemini Enterprise as an enterprise AI offering with five editions. The Google Cloud documentation names Business, Standard, Plus, Pay-as-you-go, and Frontline. Every edition supports permission-aware search across Google and third-party data sources.

Business serves 1 to 500 users. Standard and Plus start at 1 user with no stated cap. Pay-as-you-go also starts at 1 seat, but the project must connect to an invoiced Cloud Billing account. Frontline requires at least 150 users and runs on top of Standard or Plus.

Business provides selected connectors for its target segment, while the other four editions provide the full connector ecosystem. Every edition can run prebuilt tasks, agent actions, and shared no-code agents. Standard, Plus, and Frontline users can build and publish no-code agents. Standard, Plus, Pay-as-you-go, and Frontline can access the Agent Marketplace and import full-code agents built elsewhere. Business lacks those broader agent development and marketplace options.

What does Gemini Enterprise cost?

Google’s 9 October 2025 launch pricing listed Business at $21 per seat monthly and Standard or Plus at $30 per seat monthly. Google’s current edition documentation does not publish per-seat dollar prices, so buyers should request a sales quote for current rates and volume terms.

Google pools storage and indexing quotas across users within each project and location. Pay-as-you-go storage follows usage rather than a fixed per-user allocation.

What agents and connectors does it include?

All 5 editions include permission-aware enterprise search, selected connectors, prebuilt agent actions, and Google’s Deep Research agent. Google documents the following edition gates in its September 2026 edition comparison.

• Three editions let you build and publish no-code agents in preview. Standard, Plus, and Frontline include the builder, while all 5 editions can use agents built with it.
• Four editions provide Agent Marketplace access. Standard, Plus, Pay-as-you-go, and Frontline include the marketplace, while Business does not.
• Three editions let you create and upload custom skills. Standard, Plus, and Pay-as-you-go provide authoring, while all 5 editions can use Google-managed and shared user-created skills. Frontline users can install shared skills through Browse skills but cannot create or upload them.
• Four editions support full-code agents built outside Gemini Enterprise. Standard, Plus, Pay-as-you-go, and Frontline include this option. Frontline users can access only agents that an administrator has already provisioned.
• Four editions include the full connector ecosystem. Standard, Plus, Pay-as-you-go, and Frontline receive full access, while Business receives selected connectors.
• Three editions include Google’s Data Insights agent. Standard, Plus, and Pay-as-you-go receive it, while Business and Frontline do not.

Business suits deployments that need prebuilt actions and a smaller connector set. Standard and Plus provide the broadest mix of agent building, skills, connectors, and governance. Pay-as-you-go includes most advanced capabilities but excludes the no-code builder. Frontline extends a Standard or Plus deployment with controlled access for at least 150 users.

What does Gemini Enterprise remember about your company between sessions?

Gemini Enterprise remembers context for an individual user, not as a shared company record. Its personalization documentation describes four sources of persistent context. A user profile stores details such as a preferred name and job title. Conversation history, connected sources, and explicitly saved memories provide additional context.

Users create saved memories by including “remember” in a prompt. Gemini confirms the new memory, and users can list saved memories or update one by providing corrected information. Users can delete individual memories or clear all of them through personalization settings.

Deleting a saved memory may not remove every copy of its information. Google states that the original conversation can retain the information while that conversation remains saved. Complete removal therefore requires deleting both the saved memory and its source conversation.

Gemini Enterprise applies these controls per user and account. Users manage their own profiles, history settings, saved memories, and permitted connections. Administrators can disable memory and personalization across the organization or control which sources users may connect. Changes to connected sources can take up to 24 hours to take effect.

Google names Microsoft Outlook and Microsoft OneDrive as connected-source examples in its personalization documentation. The same documentation does not name Slack, Jira, or Salesforce. It also does not describe a mechanism that reconciles conflicting facts across tools or maintains an organization-wide versioned record.

A company should therefore treat Gemini Memory as personal assistant context. If Jira says a launch moved to June while an older email still says May, the documented memory model does not establish which fact became current or distribute that decision as shared company memory.

Gemini Enterprise vs ChatGPT Enterprise vs Claude Enterprise vs Microsoft 365 Copilot

Sentra provides the shared memory layer in this comparison, while each enterprise assistant provides its own user or project experience.

Google documents Gemini memory as a per-user feature built from profiles, conversation history, saved memories, and permitted connected sources. Admins can disable memory across the organization, but Google does not describe a shared record that reconciles changing facts across tools in its personalization documentation.

OpenAI contains Enterprise chats within their projects. Shared projects automatically switch to project-only memory, and users cannot reverse that lock, according to help.openai.com.

Sentra wins the memory columns because it stores permissioned, time-stamped facts in one company graph that different assistants can read. Gemini remains the better native surface for a company that conducts most work inside Google Workspace.

When to pair Gemini Enterprise with an organizational memory layer

Pair Gemini Enterprise with Sentra when company facts conflict across Slack, Jira, Confluence, and email. Gemini personalizes answers for each Google account using conversations and accessible Workspace content. Its per-user memory does not reconcile competing updates or preserve a shared, versioned decision for every employee and agent.

Sentra runs underneath Gemini Enterprise as an organizational memory layer. It connects more than 200 tools and resolves their contents into time-stamped, permissioned facts. Gemini, Claude, ChatGPT, and custom agents can read the same facts through REST or MCP. Sentra also records when each fact became valid and when it stopped being valid, which helps agents avoid treating an outdated Jira status or superseded email decision as current.

Lenskart shows how shared organizational context works at company scale. Across 3,200 stores, 153 leaders used Sentra for 11,000 queries each week. The company recorded 58 percent faster cross-department work within four weeks, according to the Lenskart case study.

Gemini Enterprise remains the assistant inside Google Workspace. Sentra complements it by carrying decisions and current facts across vendor boundaries, user accounts, and agent sessions.

How to choose

If employees mainly work in Google Workspace and need an assistant to use each person’s accessible files, email, and conversation history, Gemini Enterprise alone should suffice. Its Workspace surfaces and per-user context fit work that stays within one Google account.

If decisions and facts must survive across Slack, Jira, Confluence, email, and multiple AI agents, pair Gemini Enterprise with Sentra. Sentra gives Gemini and other agents the same time-stamped, permissioned company facts across sessions. That shared organizational memory helps agents distinguish current information from outdated or conflicting records.

Frequently Asked Questions