Make vs Relevance AI
Make: Visual automation for complex, multi-step workflows. Relevance AI: No-code platform for building teams of AI agents that handle sales, support and ops tasks. Here is how they compare on features, pricing, platforms, pros and cons.
Quick verdict
Make
Best for: Operations teams with complex workflows.
Stands out for: Powerful visual builder; Good value for complex flows.
Relevance AI
Best for: Business teams that want AI agents for repeat work without engineers.
Stands out for: Powerful without code; Free plan to experiment.
Side-by-side comparison
| Visit make.com (opens in a new tab) | Visit relevanceai.com (opens in a new tab) | |
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| What it is | Visual automation for complex, multi-step workflows. | No-code platform for building teams of AI agents that handle sales, support and ops tasks. |
| Pricing | Free + Paid | Free + Paid |
| Free to use | Yes | Yes |
| Category | AI Agents & Automation | AI Agents & Automation |
| Editor rank | #4 in category | #16 in category |
| Made by | Make (Celonis) | Relevance AI |
| Best for | Operations teams with complex workflows. | Business teams that want AI agents for repeat work without engineers. |
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Make vs Relevance AI: questions
Is Make better than Relevance AI?
Neither wins for everyone. Our editors rank Make slightly higher overall in AI Agents & Automation, but Relevance AI can be the better fit: Business teams that want AI agents for repeat work without engineers.
Which is free, Make or Relevance AI?
Both can be used without paying: Make is free + paid and Relevance AI is free + paid. Paid plans add more usage or features.
Can I use Make and Relevance AI together?
Yes. Many people keep both and pick per task, for example automate multi-step business processes with Make, and build an agent that researches new leads with Relevance AI.