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Make vs Notion AI - Comparison | AI Deck

Head to head

Make vs Notion AI

No endless tables — just the differences that matter, and a clear call. Pick two tools and see who takes it.

Make

Make

Workflow Automation

Visual automation platform (formerly Integromat) known for a scenario builder that makes data transformation and routing logic easier to visualize than Zapier's linear flow model. At $9-16/mo for 10,000-40,000 operations, it sits between free tools and enterprise platforms. Strong for teams doing complex multi-branch data processing without writing code.

FreemiumVisit

VS

Notion AI

Notion AI

Productivity

Notion's native AI layer that operates across your entire workspace — pages, databases, projects, and meeting notes. Updated in 2025 with full workspace Q&A (ask questions across all your notes), automatic action item extraction from meetings, and smarter database queries using natural language. Available as an add-on to any Notion plan at $10/user/month.

FreemiumVisit

The facts, side by side

Make

Freemium

4.1

Visual automation platform (formerly Integromat) known for a scenario builder that makes data transformation and routing logic easier to visualize than Zapier's linear flow model. At $9-16/mo for 10,000-40,000 operations, it sits between free tools and enterprise platforms. Strong for teams doing complex multi-branch data processing without writing code.

Category:Workflow Automation

Features

Visual scenario builder with non-linear, branching workflow visualization
2,000+ app integrations including HTTP/REST and webhooks for custom APIs
Advanced router modules for conditional branching and data filtering
Data store: built-in lightweight database for state persistence between scenarios
JSON/XML parsing and transformation with no-code tools
+3 more

Pros

Non-linear visual builder is significantly clearer than Zapier for workflows with multiple branches and conditions
Operations-based pricing means 1 automation with 5 steps costs 5 ops — often cheaper than per-task Zapier pricing
Data Store allows state to persist between runs without an external database for simple key-value use cases
Free tier includes 1,000 operations/month — enough for testing before committing to a paid plan

Cons

AI node support is limited compared to n8n — building LLM pipelines requires more manual HTTP module work
Scenario builder becomes visually complex (hard to read) on workflows with 30+ modules
Free tier requires manual scenario activation — paid plan required for scheduled automatic runs
No self-hosting option — all data flows through Make's cloud infrastructure
Cost scales linearly with operation count, not workflow count; high-frequency scenarios become expensive at $9/mo base

Notion AI

Freemium

4.0

Notion's native AI layer that operates across your entire workspace — pages, databases, projects, and meeting notes. Updated in 2025 with full workspace Q&A (ask questions across all your notes), automatic action item extraction from meetings, and smarter database queries using natural language. Available as an add-on to any Notion plan at $10/user/month.

Category:Productivity

Features

Workspace Q&A: ask questions across all pages, databases, and team wikis
Action item extraction from meeting notes with automatic assignee detection
AI database queries: filter, sort, and analyze data with natural language
AI writing assistant with context-awareness across the current page
Autofill database properties using AI from page content
+3 more

Pros

Workspace Q&A replaces manual search for teams with large wikis — answers come with source citations
Action item extraction from meeting transcripts saves 10-20 minutes per meeting of manual note cleanup
Database autofill allows structured data entry at writing speed — describe a project and properties populate automatically
Native integration means no data leaves Notion to a third-party service for AI processing

Cons

Costs $10/user/month on top of the Notion plan ($8-18/user/mo) — total cost is $18-28/user/mo for AI-enabled teams
Workspace Q&A quality drops when pages are poorly formatted or lack structure — garbage in, garbage out
AI writing suggestions are less capable than dedicated writing tools (Claude, ChatGPT) for complex creative work
Database queries via natural language still fail on multi-join queries and complex aggregations
Action item extraction requires clean meeting transcripts — works poorly with speaker-unattributed raw notes

Tool	MakeView details →	Notion AIView details →
Pricing	Freemium	Freemium
Rating	4.1	4.0
Category	Workflow Automation	Productivity
Description	Visual automation platform (formerly Integromat) known for a scenario builder that makes data transformation and routing logic easier to visualize than Zapier's linear flow model. At $9-16/mo for 10,000-40,000 operations, it sits between free tools and enterprise platforms. Strong for teams doing complex multi-branch data processing without writing code.	Notion's native AI layer that operates across your entire workspace — pages, databases, projects, and meeting notes. Updated in 2025 with full workspace Q&A (ask questions across all your notes), automatic action item extraction from meetings, and smarter database queries using natural language. Available as an add-on to any Notion plan at $10/user/month.
Features
Visual scenario builder with non-linear, branching workflow visualization
2,000+ app integrations including HTTP/REST and webhooks for custom APIs
Advanced router modules for conditional branching and data filtering
Data store: built-in lightweight database for state persistence between scenarios
JSON/XML parsing and transformation with no-code tools
Scenario scheduling: minute-level granularity on triggers
Error handling routes for automatic retry and failure notification
Team features: shared scenarios, scenario logs, version history
Workspace Q&A: ask questions across all pages, databases, and team wikis
Action item extraction from meeting notes with automatic assignee detection
AI database queries: filter, sort, and analyze data with natural language
AI writing assistant with context-awareness across the current page
Autofill database properties using AI from page content
Summarize long pages and document chains into structured briefs
Smart search with semantic matching across entire workspace
Custom AI templates for recurring documents (weekly reviews, project briefs)
Pros
	Non-linear visual builder is significantly clearer than Zapier for workflows with multiple branches and conditions Operations-based pricing means 1 automation with 5 steps costs 5 ops — often cheaper than per-task Zapier pricing Data Store allows state to persist between runs without an external database for simple key-value use cases Free tier includes 1,000 operations/month — enough for testing before committing to a paid plan	Workspace Q&A replaces manual search for teams with large wikis — answers come with source citations Action item extraction from meeting transcripts saves 10-20 minutes per meeting of manual note cleanup Database autofill allows structured data entry at writing speed — describe a project and properties populate automatically Native integration means no data leaves Notion to a third-party service for AI processing
Cons
	AI node support is limited compared to n8n — building LLM pipelines requires more manual HTTP module work Scenario builder becomes visually complex (hard to read) on workflows with 30+ modules Free tier requires manual scenario activation — paid plan required for scheduled automatic runs No self-hosting option — all data flows through Make's cloud infrastructure Cost scales linearly with operation count, not workflow count; high-frequency scenarios become expensive at $9/mo base	Costs $10/user/month on top of the Notion plan ($8-18/user/mo) — total cost is $18-28/user/mo for AI-enabled teams Workspace Q&A quality drops when pages are poorly formatted or lack structure — garbage in, garbage out AI writing suggestions are less capable than dedicated writing tools (Claude, ChatGPT) for complex creative work Database queries via natural language still fail on multi-join queries and complex aggregations Action item extraction requires clean meeting transcripts — works poorly with speaker-unattributed raw notes
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