Notion

Give your Notion workspace an AI agent that reads, writes, and searches

Customers ask a question, and your AI agent searches your Notion databases for the answer. New leads get captured as pages automatically. Knowledge base articles surface in real time. Your Notion workspace becomes an intelligent backend for every conversation.

Chosen by 800+ global brands across industries

Your workspace, conversationally accessible

From database queries to page creation, your AI agent turns Notion into a live data source that responds to questions, captures information, and retrieves content during conversations.

Query Databases

A customer asks about product availability stored in a Notion database. The agent queries the database with filters and sorts, retrieves matching records, and presents the information conversationally, turning structured Notion data into instant answers.

Create Pages

A visitor submits a support request through chat. The agent creates a new Notion page in your requests database with the customer's details, issue description, and priority level, capturing every interaction as a structured record.

Search Content

Someone asks a question your knowledge base can answer. The agent searches across all Notion pages and databases by keyword, finds the most relevant content, and delivers the answer directly in the conversation without manual lookup.

Retrieve Page Content

A team member needs details from a specific Notion page. The agent fetches the page properties and content blocks, returning the information in a readable format so the user gets what they need without navigating through Notion's sidebar.

Update Database Records

After resolving a customer issue, the agent updates the corresponding record in your Notion database, changing the status property to 'Resolved' and adding resolution notes. Your tracking stays current without manual data entry.

List Database Entries

A manager asks for all open tasks assigned to their team. The agent queries the Notion database, filters by status and assignee properties, and returns a clean list of pending items with due dates and priorities.

Notion

Use Cases

Knowledge and data, served conversationally

See how businesses use AI agents to turn Notion workspaces into dynamic knowledge bases, CRM systems, and project trackers that respond to questions in real time.

Knowledge Base Answers Without Searching Manually

A customer asks how to reset their password. Your AI agent searches your Notion knowledge base, finds the step-by-step guide in your Help Center database, and presents the instructions directly in the chat. The customer gets their answer in seconds. Your support team handles fewer repetitive tickets, and your existing Notion docs do the heavy lifting.

Lead Capture That Flows Directly Into Notion

A website visitor fills out a qualifying conversation with your AI agent, sharing their company name, budget, and timeline. The agent creates a new page in your Notion CRM database with all the details, sets the status to 'New Lead,' and tags the appropriate sales rep. Your pipeline updates in real time while the visitor is still on your site.

Project Status Updates on Demand

A stakeholder messages your AI agent asking for the status of the Q1 product launch. The agent queries your Notion project tracker, filters for the matching project, and returns the current status, owner, and next milestone date. The stakeholder gets an instant update without scheduling a check-in meeting or digging through Notion pages.

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FAQs

Frequently Asked Questions

How does the AI agent query my Notion databases during a conversation?

The agent uses the Notion API to query databases with filters, sorts, and pagination. When a user asks a question, the agent translates it into a database query, applies the right property filters, and returns matching records. It works with all Notion property types including text, select, multi-select, date, and relation fields.

Which Notion pages and databases can the agent access?

The agent can only access pages and databases that you explicitly share with your Notion integration. Go to each database or page in Notion, click Share, and add your integration. Unshared content remains private and invisible to the agent.

Can the agent create pages with rich content like checkboxes and images?

Yes. The Notion API supports creating pages with various block types including paragraphs, headings, bulleted lists, to-do items, and more. The agent can structure the content based on conversation context, creating well-formatted pages rather than plain text entries.

Does Tars store copies of my Notion data?

No. All queries run against the Notion API in real time. Page content, database records, and search results are fetched during the conversation and not persisted by Tars. Your Notion workspace remains the single source of truth.

Can the agent update existing database records, or only create new ones?

The agent can both create and update. For updates, it modifies page properties on existing records, such as changing a status from 'Open' to 'Resolved' or adding tags. The page ID identifies which record to update, and only the specified properties change.

How is this different from Notion AI or Notion's built-in automations?

Notion AI helps you write and summarize content inside Notion. Tars brings your Notion data into external conversations on your website, WhatsApp, Slack, or SMS. Customers and team members interact with your Notion data without ever opening Notion, and the agent can take actions across multiple tools in one conversation.

What happens when a search returns too many results from my Notion workspace?

The agent uses pagination and relevance sorting from the Notion API. It presents the most relevant results first and can narrow results with additional filters if the user provides more context. Long result sets are broken into manageable chunks during the conversation.

Can I connect multiple Notion workspaces to a single Tars AI agent?

Each Notion integration token is scoped to a single workspace. To access multiple workspaces, create separate integration tokens and configure each as a tool in Tars. The agent can then query across workspaces by calling the appropriate tool for each request.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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