I Built an SEO Tool After 3 Years of Using Semrush
Built an SEO tool after spending 3 years paying for Semrush. Here's my honest comparison:
Semrush is the established giant. Deep data, huge backlink index, mature ecosystem. If you need enterprise-grade research across every niche, it earns its price.
But I kept noticing the same thing: 80% of my actual daily workflow was keyword research, rank tracking, and site audits. The rest was bloat I never touched.
So I built SerpSpur around that 80%.
- Keyword research: Semrush has more raw volume, SerpSpur focuses on intent + difficulty clarity
- Rank tracking: Both solid. SerpSpur's UI updates faster and the daily view is cleaner
- Site audits: Semrush is more granular. SerpSpur surfaces the fixes that actually move rankings
- Backlinks: Semrush wins on index size. No contest there, honestly
- Usability: This is where SerpSpur pulls ahead. Modern interface, fewer clicks, faster load
- Value: Semrush starts around $140/mo. SerpSpur is built for indie budgets
No tool is universally better. If you're an agency needing every data point, stay on Semrush. If you're a solo founder or small team who wants a fast, focused, next-gen workflow without legacy bloat, SerpSpur is worth a look.
What's your must-have SEO feature?
The 80% workflow insight is exactly right. Most SEO tools are built for agencies who need to justify the price with feature count, but solo founders don't need 200 features — they need the 10 that actually move rankings without constant tab-switching.
The backlink index gap is real though. That's usually the dealbreaker when I'm evaluating alternatives to Semrush. Is SerpSpur pulling from its own crawler or using a third-party index?
Interesting comparison. I actually appreciate that you admitted where Semrush still wins instead of claiming to beat it at everything.
For me, the must-have feature is actionable prioritization. Most SEO tools can tell me what's wrong; far fewer can tell me what to fix first for the highest impact with the least effort.
I'd also be curious how accurate your keyword difficulty scores are compared to real-world ranking results, since that's where many tools struggle.
Nice, this makes a lot of sense. What's been the most surprising part of it so far?