AgentCorePlatform for building, deploying, and operating AI agents at scale
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · AI Agents · weekly run Nov 3
AgentCore 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 6.2 for AgentCore, and ranks ahead in 0% of the answers that name both.
Choose AgentCore if…
- You need HIPAA eligible or FedRAMP (Class C and D) or SOC 2 or CSA STAR or ISO certifications coverage
- You prefer a larger, established vendor (5,000+ employees)
- infrastructure-level security
- scalable, feature-rich cloud infrastructure
Choose Make if…
- You want the brand AI engines rank higher (17 vs 6.2)
- AI answers describe it more positively (41% vs 30% positive)
- 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 | AgentCore | Make |
|---|---|---|
| Visibility score | 6.2% | 17% |
| Change vs last week | New | New |
| Rank in AI Agents | #20 | #9 |
| Share of voice | 1.5% | 3.6% |
| Mentions this run | 11 | 24 |
| Positive in AI answers | 30% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AgentCore 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Make leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AgentCoreMake
Head to head in AI answers
3 engine answers name both brands
3AgentCore ranked higher
0Make ranked higher
| Prompt | Engine | AgentCore | Make |
|---|---|---|---|
| How do I choose an AI agent platform for a mid-market team? | ChatGPT | #6 | #12 |
| Best AI agent platform for enterprise | Perplexity | #5 | #13 |
| Compare the leading AI Agents platforms | Perplexity | #4 | #11 |
Features, pricing & fit
| Dimension | AgentCore | Make |
|---|---|---|
| Deployment | Cloud service on AWS; Runtime instances can also run agents on the customer's own EC2 instances | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | HIPAA eligible, FedRAMP (Class C and D), SOC 2, CSA STAR, ISO certifications | 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 |
| 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
AgentCore
- infrastructure-level security
- scalable, feature-rich cloud infrastructure
- one of the world's largest cloud platforms
- developer-centric, requires custom workflow work
- complexity and pricing need careful management
- requires a capable engineering team
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, “AgentCore vs Make”, https://slateindex.ai/compare/agentcore-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.