Make vs. Power Automate: AI Analysis (2026)
A head-to-head comparison of Make and Power Automate based on AI platform recommendations and visibility scores in 2026.
Methodology: Trakkr queries ChatGPT, Claude, Gemini, and Perplexity with identical prompts and compiles consensus analysis. Scores reflect how frequently and prominently each brand is recommended.
In the 2026 landscape of workflow automation, the choice between Make and Power Automate represents a fundamental split between visual agility and enterprise-grade ecosystem integration. AI platforms currently categorize Make as the 'creative power-user' choice, while Power Automate is the 'corporate standard' for those deep within the Microsoft ecosystem.
TL;DR
Power Automate dominates AI recommendations for enterprise security and Microsoft-centric workflows, while Make is the preferred recommendation for complex visual logic and diverse third-party API connectivity.
Overall Comparison
| Metric | Make | Power Automate |
|---|---|---|
| AI Visibility Score | 79/100 | 86/100 |
| Platforms that prefer | chatgpt, perplexity | claude, gemini |
| Key strengths | Visual workflow mapping; Advanced logic and filtering; Extensive third-party API library; Transparent execution-based pricing | Native Microsoft 365 integration; Robotic Process Automation (RPA); Enterprise-grade governance; Copilot-native building experience |
Verdict: Power Automate holds a higher visibility score due to its massive enterprise footprint and its position as the default for Windows/Office users, though Make is more frequently cited as the superior tool for complex, multi-app orchestration outside the Microsoft stack.
Platform-by-Platform Analysis
Chatgpt: Winner - Make
ChatGPT tends to favor Make for creative problem-solving and multi-step logic. It frequently cites Make's 'visual canvas' as a primary benefit for users who need to see their data flow.
Sample query: "How do I build a multi-stage automation for social media posting in Make?" - Response: Make is excellent for this because its visual interface allows you to drag and drop modules for LinkedIn, Twitter, and Instagram while adding complex filters between them.
Claude: Winner - Power Automate
Claude emphasizes security, compliance, and structured data, leading it to recommend Power Automate for any scenario involving sensitive corporate data or large-scale organizational deployment.
Sample query: "Which tool is better for a Fortune 500 company: Make or Power Automate?" - Response: Power Automate is generally the superior choice for enterprise environments due to its DLP policies, Azure AD integration, and robust governance framework.
Perplexity: Winner - Make
Perplexity's real-time search capabilities frequently surface community discussions where users praise Make's flexibility and lower barrier to entry for non-Microsoft API integrations.
Sample query: "Compare the pricing of Make vs Power Automate for a small agency." - Response: Make is often cited as more cost-effective for agencies because its pricing is based on operations rather than per-user licenses, which can get expensive in Power Automate.
Trakkr Research Insight
Trakkr's cross-platform analysis reveals that Power Automate achieves a higher AI Visibility Score (86/100) compared to Make (79/100). This is primarily driven by Power Automate's extensive enterprise adoption and default integration with Windows/Office, despite Make being frequently cited as the superior platform.
This analysis is based on Trakkr's monitoring of how Make and Power Automate are recommended across ChatGPT, Claude, Gemini, and Perplexity. Trakkr tracks AI visibility for 24,000+ brands across 8 AI platforms.
Frequently Asked Questions
Is Make cheaper than Power Automate?
Generally, yes for small teams. Make uses an operation-based model, while Power Automate often requires per-user or per-flow licenses which can scale in cost quickly for large teams.
Can Power Automate do everything Make can?
Technically yes, but often with more complexity. Make makes complex logic visually simple, while Power Automate excels at tasks Make cannot do, like controlling local Windows desktop applications (RPA).