Serpstat vs Semrush: Which is better in 2026?
A side-by-side comparison of pricing, features, and use cases to help you decide between Serpstat and Semrush.
All-in-one SEO platform at a fraction of Semrush's price
All-in-one SEO, PPC, and content marketing platform
Head-to-head comparison
| Feature | Serpstat | Semrush |
|---|---|---|
| Starting price | $50/mo ✓ Cheaper | $139.95/mo |
| Free plan | ✓ Yes | ✗ No |
| Pricing model | paid | paid |
| G2 rating | 4.3/5 | 4.5/5 ↑ |
| Capterra rating | 4.6/5 | 4.7/5 |
| Founded | 2013 | 2008 |
Serpstat: pros & cons
- ✓Very affordable compared to Semrush and Ahrefs
- ✓Large keyword database
- ✓Good batch analysis tools
- ✓Free plan available
- ✗Data accuracy not always as strong as top-tier tools
- ✗Interface can feel cluttered
- ✗Customer support response times vary
Semrush: pros & cons
- ✓Broadest feature set of any SEO tool
- ✓Excellent PPC and ad intelligence
- ✓Good content marketing tools
- ✓Large keyword database
- ✗Expensive
- ✗Can be overwhelming
- ✗Some data less accurate than Ahrefs for backlinks
Choose Serpstat if...
Serpstat is the better choice if you need keyword research or backlink analysis, or want to start for free. It scores 4.3/5 on G2.
Read Serpstat review →Choose Semrush if...
Semrush is the better choice if you prioritise keyword research or site audit. It scores 4.5/5 on G2.
Read Semrush review →Our verdict
Semrush edges ahead on user ratings (4.5/5 on G2). Serpstat is the cheaper option. The right choice depends on which features matter most to your team — use the comparison table above to decide.
Serpstat vs Semrush: frequently asked questions
Is Serpstat better than Semrush?
Semrush has a higher G2 score (4.5/5 vs 4.3/5). The best tool depends on your specific use case and budget.
Which is cheaper, Serpstat or Semrush?
Serpstat is cheaper, starting at $50/mo.
What is the main difference between Serpstat and Semrush?
Serpstat focuses on keyword research, backlink analysis, site audit. Semrush focuses on keyword research, site audit, backlink analysis. Both serve similar use cases but differ in approach and pricing model.