LinearThe product development system for teams and agents
vs
MakeAI automation you can visually build and orchestrate in real time.
Comparison · Project Management · weekly run Nov 3
Linear vs Make
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Linear is the stronger AI pick in Project Management: it has a visibility score of 7.9 versus 7.2 for Make, and ranks ahead in 50% of the answers that name both.
Choose Linear if…
- You want the brand AI engines rank higher (7.9 vs 7.2)
- AI answers describe it more positively (54% vs 41% positive)
- You need HIPAA (BAA available) or ISO/IEC 27001:2022 coverage
- Fast issue tracking for software engineering teams
Choose Make if…
- You need SOC 3 or ISO 27001 coverage
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
- Visual, no-code automation between existing apps
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Linear | Make |
|---|---|---|
| Visibility score | 7.9% | 7.2% |
| Change vs last week | New | New |
| Rank in Project Management | #12 | #13 |
| Share of voice | 2% | 1.8% |
| Mentions this run | 11 | 10 |
| Positive in AI answers | 54% | 41% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Linear 0pp · Make 0pp over 0 weekly runs.
Engine by engine
Linear leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LinearMake
Head to head in AI answers
2 engine answers name both brands
1Linear ranked higher
1Make ranked higher
| Prompt | Engine | Linear | Make |
|---|---|---|---|
| What should a project management tool integrate with? | ChatGPT | #13 | #1 |
| Best project management tool for startups | AI Mode | #2 | #4 |
Features, pricing & fit
| Dimension | Linear | Make |
|---|---|---|
| Pricing model | Per seat | — |
| Entry price | Free; paid from $10 per seat / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud-hosted SaaS; workspace data can be stored in the European Union or the United States | Cloud, hosted on Amazon AWS |
| Integrations | — | 3500+ |
| Compliance | SOC 2 Type II, GDPR, HIPAA (BAA available), ISO/IEC 27001:2022 | GDPR, SOC 2 Type II, SOC 3, ISO 27001 |
| Support | Priority support (Enterprise plan), Account manager (Enterprise plan) | Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans |
| Founded | 2019 | 2012 |
| Headquarters | San Francisco, California, United States | Prague, Czech Republic |
| Employees | — | 201–500 |
| Funding | Series C · $134M raised | — |
| Best for | Product and engineering teams that build software and want humans and AI agents working in one shared system | Teams and organizations deploying AI and automation across the business, from a single department to company-wide. |
Plans side by side
Linear
Free$0free for everyone
Basic$10per user/month, billed yearly
Business$16per user/month, billed yearly
EnterpriseCustomannual billing only
Make
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Linear
- Fast issue tracking for software engineering teams
- Generous free plan
- Transparent, scalable pricing tiers
- Good fit for SaaS and tech product teams
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, “Linear vs Make”, https://slateindex.ai/compare/linear-vs-make, data of Nov 3, 2026. Licence: CC BY 4.0.