Key Takeaway

Make pairs the deepest visual automation canvas in its price class with AI agents that act on live workflow data, and operation based pricing means light usage can stay free while complex programs scale predictably.

In-Depth Review

Make started life as Integromat and has grown into one of the most widely adopted visual automation platforms, connecting more than 3000 apps through a drag and drop scenario canvas where data flows between modules along clearly drawn routes. The 2026 platform story centers on AI Agents, which combine a chosen language model with custom prompts, connected tools, and access to live workflow data so an agent can classify requests, draft responses, and take actions across your stack without hand coded logic. Beyond agents, the AI toolkit adds summarizing, classification, and extraction modules that drop into any scenario, while core automation features cover branching, iterators, aggregators, error handlers, and instant triggers. Pricing follows an operations model that scales with usage: a free plan with 1000 monthly operations, a Core plan from about 9 dollars per month with 10000 operations, and Pro, Teams, and Enterprise tiers that add higher limits, priority execution, and team controls. Teams use Make for marketing operations, CRM sync, lead routing, reporting pipelines, and increasingly as the orchestration layer that connects AI tools with everyday SaaS apps. Compared with Zapier it rewards patience with deeper logic per scenario, and compared with n8n it trades self hosting flexibility for a polished hosted experience.

What Makes Make Stand Out

What sets Make apart from the crowded productivity market is its combination of Visual scenario builder with drag and drop modules and More than 3000 app integrations. While many competitors offer similar base functionality, Make distinguishes itself through the depth and reliability of these core capabilities. The platform has been refined through continuous updates, with the most recent review conducted on 2026-10-03, ensuring our assessment reflects the current state of the product. This tool has been verified by our editorial team as a legitimately established and widely-used platform in the AI space. It has also gained significant traction recently, trending upward in user adoption and feature development.

Pricing Analysis

Make follows a freemium pricing model with the following plans: Free 1000 ops/mo, Core from $9/mo with 10000 ops, Pro and Teams tiers with higher limits, Enterprise custom. The free tier provides access to core features, making it possible to evaluate the platform thoroughly before committing to a paid subscription. For individual users with moderate needs, the free tier may be sufficient for day-to-day use. The paid plans unlock additional capabilities such as higher usage limits, advanced features, priority support, and often better performance during peak times. When evaluating whether the paid plan is worth it, consider how frequently you use the tool and whether the limitations of the free tier (if any) impact your workflow. For professionals and teams that rely on productivity AI tools daily, the investment in a paid plan typically delivers strong returns through improved productivity and output quality.

Who Should Use Make

Make is particularly well-suited for Marketing and sales operations, AI agent orchestration across SaaS apps, CRM and spreadsheet data sync, No code workflow automation. Its strengths in Visual scenario builder with drag and drop modules and More than 3000 app integrations make it a natural fit for these use cases. With an ease-of-use score of 4.4/5, it is also approachable for beginners who are just getting started with AI-powered productivity tools. The availability of API access also makes it a strong choice for developers and technical teams who want to integrate AI capabilities into their own applications and workflows. A dedicated mobile app extends its utility beyond the desktop, allowing you to stay productive on the go.

How Make Compares to Alternatives

When evaluating Make, it is helpful to understand how it stacks up against the main alternatives in the productivity space. Compared to Zapier, Zapier has a slightly higher overall rating (4.7/5 vs 4.5/5), and make offers more features (6 vs 5). Make has a key advantage: huge integration library covering niche saas tools, while Zapier differentiates with deepest app catalog of any automation platform. Compared to n8n, n8n has a slightly higher overall rating (4.6/5 vs 4.5/5), and make offers more features (6 vs 5). Make has a key advantage: huge integration library covering niche saas tools, while n8n differentiates with no execution limits when self hosted. Compared to Gumloop, Both tools share the same overall rating of 4.5/5, and make offers more features (6 vs 5). Make has a key advantage: huge integration library covering niche saas tools, while Gumloop differentiates with complex ai pipelines stay readable on canvas. For a detailed side-by-side comparison, check out our dedicated comparison pages where we break down these tools across multiple dimensions.

M

Make

トレンド

Make is the visual automation platform that connects more than 3000 apps with drag and drop scenarios and AI agents that can reason over live workflow data, giving teams no code orchestration for marketing, sales, and operations without writing integration code.

4.5
料金: Free 1000 ops/mo, Core from $9/mo with 10000 ops, Pro and Teams tiers with higher limits, Enterprise custom

概要

Make started life as Integromat and has grown into one of the most widely adopted visual automation platforms, connecting more than 3000 apps through a drag and drop scenario canvas where data flows between modules along clearly drawn routes. The 2026 platform story centers on AI Agents, which combine a chosen language model with custom prompts, connected tools, and access to live workflow data so an agent can classify requests, draft responses, and take actions across your stack without hand coded logic. Beyond agents, the AI toolkit adds summarizing, classification, and extraction modules that drop into any scenario, while core automation features cover branching, iterators, aggregators, error handlers, and instant triggers. Pricing follows an operations model that scales with usage: a free plan with 1000 monthly operations, a Core plan from about 9 dollars per month with 10000 operations, and Pro, Teams, and Enterprise tiers that add higher limits, priority execution, and team controls. Teams use Make for marketing operations, CRM sync, lead routing, reporting pipelines, and increasingly as the orchestration layer that connects AI tools with everyday SaaS apps. Compared with Zapier it rewards patience with deeper logic per scenario, and compared with n8n it trades self hosting flexibility for a polished hosted experience.

主な機能

Visual scenario builder with drag and drop modules
More than 3000 app integrations
AI Agents that reason over live scenario data
AI toolkit for summarizing, classifying, and extracting
Error handlers with retries, resumes, and fallback routes
Operation based pricing that scales with actual usage

メリット

  • +Huge integration library covering niche SaaS tools
  • +Visual canvas makes complex branching readable
  • +Operation pricing keeps light usage on the free tier

デメリット

  • -AI Agents require paid plans
  • -Complex scenarios can consume operations quickly
  • -Learning curve for advanced data mapping

おすすめ用途

Marketing and sales operationsAI agent orchestration across SaaS appsCRM and spreadsheet data syncNo code workflow automation

連携と互換性

SlackSalesforceHubSpotNotionOpenAIGoogle Sheets

Frequently Asked Questions

How much does Make cost?

A free plan includes 1000 operations per month, the Core plan starts around 9 dollars per month with 10000 operations, and Pro, Teams, and Enterprise tiers raise limits and add AI agent capabilities, priority execution, and team controls. Because pricing is per operation, light automations can stay on the free tier for a long time.

What are Make AI Agents?

AI Agents combine a language model you choose with custom prompts, connected tools, and access to scenario data, so they can classify requests, draft responses, and take actions inside automations. Agents run as modules within scenarios and are available on paid plans.

How does Make compare to Zapier?

Make offers deeper branching, iterators, and data mapping per scenario, usually at lower cost for complex workflows, while Zapier is often quicker to learn and covers more turnkey app pairs. Teams with multi step logic usually graduate to Make for the visual canvas and operation pricing.

What counts as an operation?

Every time a module in a scenario runs, it consumes at least one operation, so a scenario with eight modules consumes at least eight operations per run. Scheduled scenarios that check for changes also consume operations even when nothing matches.

Can Make connect to AI models?

Yes. Native modules cover OpenAI, Anthropic, Google AI, and other providers, the AI toolkit adds summarizing, classification, and extraction modules, and HTTP modules reach any REST API for services without a native connector.

Is Make suitable for non developers?

The visual canvas was designed for operations and marketing users, and simple two app scenarios take minutes. Complex scenarios with error handlers and data stores reward time spent in the documentation and the free Make Academy courses.

What happens when a scenario fails?

Error handlers let you define routes for failures, including retries, breaks, resumes, and fallback paths, and incomplete runs are stored so you can replay them after fixing the cause instead of losing the data.

評価の内訳

使いやすさ
4.4
コストパフォーマンス
4.5
サポート
4
評価
4.5
最終レビュー2026-10-03
料金フリーミアム
API対応Yes
モバイルアプリYes

対応言語

English,German,French,Spanish,Japanese,Portuguese

データプライバシーとセキュリティ

GDPR compliant with EU and US data processing options