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Choosing the right AI tools for your organization is crucial. Google offers
NotebookLM Enterprise and Google Agentspace, powerful AI
solutions designed for distinct challenges. This guide clarifies when to use
each.
NotebookLM Enterprise, AI-powered research and knowledge assistant
NotebookLM Enterprise is an AI-powered research assistant for
individuals and teams. It helps create notebooks, which are organized
collections of your curated, hand-selected documents, websites, and other
sources on a given topic. A notebook becomes your single reference point for
deep understanding, content creation, and knowledge sharing from your trusted
sources.
Key features of NotebookLM Enterprise
NotebookLM Enterprise includes the following key features:
Centralized knowledge: Notebooks serve as a single, trusted reference
for specific topics, projects, or departments, built from your intentionally
selected sources.
Targeted chat: NotebookLM Enterprise provides a chat-based Q&A
experience, with AI responses strictly confined to the notebook's
information.
One-click content: You can generate diverse artifacts (general content,
FAQs, timelines, and so on) directly from sources.
Interactive audio: You can transform notebook content into interactive
audio podcasts for on-the-go consumption.
Content synthesis: NotebookLM Enterprise can quickly synthesize
insights, summarize, and draft new content from your uploaded documents.
Data control: Your data remains under access control and isn't used for
external model training.
Focus: You can create, centralize, and leverage knowledge from specific,
sources that you provide. Interact with notebooks to understand the sources
and generate content based on those sources.
When to use NotebookLM Enterprise
Choose NotebookLM Enterprise when you want to do the following:
Establish a single, AI-powered reference point for a topic or project using
known, authoritative sources.
Create targeted, chat-based Q&A experiences from a defined set of source
documents.
Efficiently generate specific documents (such as study guides, FAQs, and
timelines) from a curated knowledge base.
Transform detailed, written information into interactive audio formats.
Perform deep analysis and synthesis of information within a specific,
limited set of documents.
Agentspace, the broad AI assistant and agentic platform
Agentspace is an advanced AI assistant and an agentic
platform for comprehensive information retrieval, multi-modal content
generation, and autonomous AI agent orchestration. It extends beyond
document-specific knowledge, enabling search across all enterprise data—in
Google systems or third-party SaaS applications—and provides robust capabilities
for building, deploying, and invoking AI agents to automate complex, multi-step
tasks.
Key features of Agentspace
Agentspace includes the following key features:
Enterprise-wide search: Agentspace gives you
comprehensive content search across all enterprise data, including Google
and third-party SaaS applications.
Multi-modal content generation: Agentspace
can generate diverse text and multi-modal content.
Advanced agentic platform: You can build, deploy, and invoke specialized
AI agents for complex, automated tasks.
Autonomous workflows: You can design agents to execute actions, make
decisions, and adapt autonomously to achieve objectives.
System integration: Agents can interact with internal systems, external
APIs, and users.
Goal-oriented automation: You can focus on achieving specific business
outcomes through automated AI processes, even with unclear initial paths.
Focus: Agentspace is ideal for broad
information discovery, comprehensive content generation, and orchestrating
autonomous AI agents for action-oriented workflows.
When to use Agentspace
Choose Agentspace when you want to do the following:
Find answers when the search starting point across enterprise data is
unknown.
Generate diverse content (text, multi-modal) requiring synthesis from
various sources.
Build, deploy, and invoke specialized AI agents for complex, multi-step
business process automation.
Automate workflows that require AI agents to interact with multiple internal
and external systems.
Provide comprehensive information retrieval across all enterprise data,
including third-party SaaS applications.
Upload a specific document and ask one-off questions about its contents.
Analyze data in more complicated formats, such as Microsoft Excel, CSV,
and images embedded within PDFs.
Product comparison
The following product comparison table summarizes and contrasts various
important aspects of the two products (NotebookLM Enterprise and
Agentspace.
NotebookLM Enterprise
Agentspace
Primary Goal
Centralized knowledge, content generation from your own
documents
Enterprise-wide data search, multi-modal content generation, and
agent orchestration
Input
Your uploaded documents, websites, and specific sources
Broad queries and data from across enterprise systems (Google and
third-party SaaS)
Output
Synthesized insights, generated content (FAQs, timelines),
interactive audio podcasts, and chat-based questions and answers confined
to sources
Answers from diverse data, text and multi-modal content from across
your enterprise, and
automated actions by agents
User
Individual knowledge workers, small teams, content creators
Process owners, developers, IT, operations, business analysts,
general knowledge seekers, and content creators
Complexity
Focused knowledge management and document-specific chat
experiences
Orchestrating multi-agent systems for business processes and general
AI assistance
Core Function
Understanding and extracting from unstructured text, generating
content based on your sources
Comprehensive information
retrieval, multi-modal content creation, and autonomous agent
execution
How NotebookLM Enterprise and Agentspace work together
NotebookLM Enterprise and Agentspace are
complementary products, enhancing each other's value.
Agentspace provides broad, enterprise data search that
often leads to the discovery of new, valuable sources from Google systems
and third-party SaaS applications.
Users can then add these newly-discovered
sources directly into a NotebookLM Enterprise notebook, further
enriching their curated knowledge bases. This integration allows
Google Agentspace to act as a powerful engine for discovery,
helping users find and curate content to make their notebooks more
comprehensive and authoritative.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-03 UTC."],[],[],null,["# NotebookLM Enterprise, Agentspace, or both?\n\nChoosing the right AI tools for your organization is crucial. Google offers\nNotebookLM Enterprise and Google Agentspace, powerful AI\nsolutions designed for distinct challenges. This guide clarifies when to use\neach.\n\nNotebookLM Enterprise, AI-powered research and knowledge assistant\n------------------------------------------------------------------\n\nNotebookLM Enterprise is an AI-powered research assistant for\nindividuals and teams. It helps create notebooks, which are organized\ncollections of your curated, hand-selected documents, websites, and other\nsources on a given topic. A notebook becomes your single reference point for\ndeep understanding, content creation, and knowledge sharing from your trusted\nsources.\n\n### Key features of NotebookLM Enterprise\n\nNotebookLM Enterprise includes the following key features:\n\n- **Centralized knowledge**: Notebooks serve as a single, trusted reference\n for specific topics, projects, or departments, built from your intentionally\n selected sources.\n\n- **Targeted chat**: NotebookLM Enterprise provides a chat-based Q\\&A\n experience, with AI responses strictly confined to the notebook's\n information.\n\n- **One-click content**: You can generate diverse artifacts (general content,\n FAQs, timelines, and so on) directly from sources.\n\n- **Interactive audio**: You can transform notebook content into interactive\n audio podcasts for on-the-go consumption.\n\n- **Content synthesis**: NotebookLM Enterprise can quickly synthesize\n insights, summarize, and draft new content from your uploaded documents.\n\n- **Data control**: Your data remains under access control and isn't used for\n external model training.\n\n- **Focus**: You can create, centralize, and leverage knowledge from specific,\n sources that you provide. Interact with notebooks to understand the sources\n and generate content based on those sources.\n\n### When to use NotebookLM Enterprise\n\nChoose NotebookLM Enterprise when you want to do the following:\n\n- Establish a single, AI-powered reference point for a topic or project using\n known, authoritative sources.\n\n- Create targeted, chat-based Q\\&A experiences from a defined set of source\n documents.\n\n- Efficiently generate specific documents (such as study guides, FAQs, and\n timelines) from a curated knowledge base.\n\n- Transform detailed, written information into interactive audio formats.\n\n- Perform deep analysis and synthesis of information within a specific,\n limited set of documents.\n\nAgentspace, the broad AI assistant and agentic platform\n-------------------------------------------------------\n\nAgentspace is an advanced AI assistant and an agentic\nplatform for comprehensive information retrieval, multi-modal content\ngeneration, and autonomous AI agent orchestration. It extends beyond\ndocument-specific knowledge, enabling search across all enterprise data---in\nGoogle systems or third-party SaaS applications---and provides robust capabilities\nfor building, deploying, and invoking AI agents to automate complex, multi-step\ntasks.\n\n### Key features of Agentspace\n\nAgentspace includes the following key features:\n\n- **Enterprise-wide search**: Agentspace gives you\n comprehensive content search across all enterprise data, including Google\n and third-party SaaS applications.\n\n- **Multi-modal content generation**: Agentspace\n can generate diverse text and multi-modal content.\n\n- **Advanced agentic platform**: You can build, deploy, and invoke specialized\n AI agents for complex, automated tasks.\n\n- **Autonomous workflows**: You can design agents to execute actions, make\n decisions, and adapt autonomously to achieve objectives.\n\n- **System integration**: Agents can interact with internal systems, external\n APIs, and users.\n\n- **Goal-oriented automation**: You can focus on achieving specific business\n outcomes through automated AI processes, even with unclear initial paths.\n\n- **Focus**: Agentspace is ideal for broad\n information discovery, comprehensive content generation, and orchestrating\n autonomous AI agents for action-oriented workflows.\n\n### When to use Agentspace\n\nChoose Agentspace when you want to do the following:\n\n- Find answers when the search starting point across enterprise data is\n unknown.\n\n- Generate diverse content (text, multi-modal) requiring synthesis from\n various sources.\n\n- Build, deploy, and invoke specialized AI agents for complex, multi-step\n business process automation.\n\n- Automate workflows that require AI agents to interact with multiple internal\n and external systems.\n\n- Provide comprehensive information retrieval across all enterprise data,\n including third-party SaaS applications.\n\n- Upload a specific document and ask one-off questions about its contents.\n\n- Analyze data in more complicated formats, such as Microsoft Excel, CSV,\n and images embedded within PDFs.\n\nProduct comparison\n------------------\n\nThe following product comparison table summarizes and contrasts various\nimportant aspects of the two products (NotebookLM Enterprise and\nAgentspace.\n\nHow NotebookLM Enterprise and Agentspace work together\n------------------------------------------------------\n\nNotebookLM Enterprise and Agentspace are\n**complementary products**, enhancing each other's value.\nAgentspace provides broad, enterprise data search that\noften leads to the discovery of new, valuable sources from Google systems\nand third-party SaaS applications.\nUsers can then add these newly-discovered\nsources directly into a NotebookLM Enterprise notebook, further\nenriching their curated knowledge bases. This integration allows\nGoogle Agentspace to act as a powerful engine for discovery,\nhelping users find and curate content to make their notebooks more\ncomprehensive and authoritative."]]
