Skip to content
SlateIndex
IBM watsonx OrchestrateBuild, deploy, orchestrate and govern AI agents across clouds
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3

IBM watsonx Orchestrate vs Make

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Make is the stronger AI pick in AI Agents: it has a visibility score of 17 versus 7.8 for IBM watsonx Orchestrate, and ranks ahead in 0% of the answers that name both.

Choose IBM watsonx Orchestrate if…

  • AI answers describe it more positively (50% vs 41% positive)
  • You need a self-hosted or on-premises option
  • You need HIPAA-ready option (Premium plan) coverage
  • Robust enterprise-grade controls and orchestration capabilities

Choose Make if…

  • You want the brand AI engines rank higher (17 vs 7.8)
  • You need more native integrations (3500+ vs 150+)
  • You need GDPR or SOC 2 Type II or SOC 3 or ISO 27001 coverage
  • Free tier with 1,000 credits per month

AI visibility side by side

Latest weekly run · Nov 3

Metric IBM watsonx Orchestrate Make
Visibility score7.8%17%
Change vs last weekNewNew
Rank in AI Agents#16#9
Share of voice1.8%3.6%
Mentions this run1324
Positive in AI answers50%41%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3IBM watsonx Orchestrate 8%

IBM watsonx Orchestrate 0pp · Make 0pp over 0 weekly runs.

Engine by engine

Make leads on 2 of 3 engines

ChatGPT
13.5%
13.3%
AI Mode
3.1%
5.9%
Perplexity
6.7%
31.9%
IBM watsonx OrchestrateMake

Head to head in AI answers

2 engine answers name both brands

2IBM watsonx Orchestrate ranked higher
0Make ranked higher
PromptEngineIBM watsonx OrchestrateMake
How do I choose an AI agent platform for a mid-market team? ChatGPT#10#12
Best AI agent platform for enterprise Perplexity#6#13

Features, pricing & fit

DimensionIBM watsonx OrchestrateMake
DeploymentManaged multi-cloud service on IBM Cloud or AWS, or on-premisesCloud, hosted on Amazon AWS
Integrations150+3500+
ComplianceHIPAA-ready option (Premium plan)GDPR, SOC 2 Type II, SOC 3, ISO 27001
Support—Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans
Founded—2012
HeadquartersArmonk, New YorkPrague, Czech Republic
Employees—201–500
Best forEnterprises that need to build and govern AI agents at enterprise scale across multiple clouds or on-premises.Teams and organizations deploying AI and automation across the business, from a single department to company-wide.

Pros and cons

Themes from the AI answers that mention each brand

IBM watsonx Orchestrate

  • Robust enterprise-grade controls and orchestration capabilities
  • Focus on trustworthy, accountable AI operations
  • Rated Exemplary by ISG
  • Recommended as a cloud-neutral orchestration platform
  • Recognised in agent management and governance

    Make

    • Free tier with 1,000 credits per month
    • Transparent pricing with paid plans from $12/month
    • Visual, no-code automation between existing apps
    • Integrations with more than 3,000 apps
    • Built-in AI agents for business workflows

      Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

      Cite as: SlateIndex, “IBM watsonx Orchestrate vs Make”, https://slateindex.ai/compare/ibm-watsonx-orchestrate-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.