AWSVisual low-code tool for building AWS-backed apps from Figma designs
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3
AWS 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 12.5 for AWS, and ranks ahead in 0% of the answers that name both.
Choose AWS if…
- You need SOC 1 or SOC 2 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
Choose Make if…
- You want the brand AI engines rank higher (17 vs 12.5)
- AI answers describe it more positively (41% vs 16% positive)
- You need GDPR or SOC 2 Type II coverage
- Free tier with 1,000 credits per month
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AWS | Make |
|---|---|---|
| Visibility score | 12.5% | 17% |
| Change vs last week | New | New |
| Rank in AI Agents | #11 | #9 |
| Share of voice | 3.1% | 3.6% |
| Mentions this run | 21 | 24 |
| Positive in AI answers | 16% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AWS 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Make leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
AWSMake
Head to head in AI answers
5 engine answers name both brands
5AWS ranked higher
0Make ranked higher
| Prompt | Engine | AWS | Make |
|---|---|---|---|
| How do I choose an AI agent platform for a mid-market team? | ChatGPT | #7 | #12 |
| What should an AI agent platform integrate with? | ChatGPT | #12 | #14 |
| Best AI agent platform for enterprise | Perplexity | #4 | #13 |
| Compare the leading AI Agents platforms | Perplexity | #5 | #11 |
| Alternatives to the most popular AI agent platform | Perplexity | #8 | #9 |
Features, pricing & fit
| Dimension | AWS | Make |
|---|---|---|
| Deployment | — | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | SOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001 | 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 | 2021 | 2012 |
| Headquarters | Seattle, Washington | Prague, Czech Republic |
| Employees | 5,000+ | 201–500 |
| Best for | — | 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
AWS
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
- Deep integration with the AWS ecosystem and AI tools
- Recognised by analysts such as Gartner and ISG
- Requires strong AWS engineering or technical expertise
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, “AWS vs Make”, https://slateindex.ai/compare/aws-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.