LinearB
Moz Pro
| Feature | LinearB | Moz Pro |
|---|---|---|
| Pricing | Free / from $39/mo | Free / from $99/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best For | engineering-managers, vp-engineering, ctos, devops-teams | seo-professionals, agencies, marketers, enterprises |
| Founded | 2019 | 2004 |
| Cycle Time Metrics | ✓ | ✗ |
| Dora Metrics | ✓ | ✗ |
| Pr Insights | ✓ | ✗ |
| Workflow Automation | ✓ | ✗ |
| Team Benchmarks | ✓ | ✗ |
| Planning Intelligence | ✓ | ✗ |
| Investment Profile | ✓ | ✗ |
| Keyword Explorer | ✗ | ✓ |
| Link Explorer | ✗ | ✓ |
| Site Audit | ✗ | ✓ |
| Rank Tracking | ✗ | ✓ |
| On Page Grader | ✗ | ✓ |
| Domain Authority | ✗ | ✓ |
✓ LinearB Pros
- Correlates engineering metrics with business outcomes
- Automated workflow improvements (WorkerB)
- Benchmarks against industry standards
- Identifies bottlenecks in dev process
✗ LinearB Cons
- Expensive for large engineering teams
- Can feel like surveillance to developers
- Metrics can be gamed if not used carefully
✓ Moz Pro Pros
- Trusted Domain Authority metric
- Excellent link analysis
- Active community and learning resources
- Reliable rank tracking
✗ Moz Pro Cons
- Expensive for small businesses
- Smaller backlink index than competitors
- Interface feels dated
The Verdict
LinearB is built for engineering managers and vp engineering, with a focus on cycle-time-metrics and dora-metrics. Moz Pro targets seo professionals and agencies and leads with keyword-explorer and link-explorer.
On pricing, LinearB is the clear winner for budget-conscious users — starting at $39/mo compared to $99/mo for Moz Pro. That $60/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, LinearB offers broader built-in capabilities (7 features vs 6), while Moz Pro takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.