Semrush vs KeywordsDB: Simple Keyword Research Alternative
Igor Silva
Founder of KeywordsDB

The Son of Man - René Magritte
If you're comparing Semrush and KeywordsDB, the real question is what kind of tool you actually need: if you want a full SEO platform, Semrush is the stronger product, but if you mainly want to find keywords quickly without paying for a large SEO suite, KeywordsDB is the better fit. That is the tradeoff. Semrush does much more, while KeywordsDB does much less on purpose, and for many people that narrower focus is exactly the point.
If you're also comparing similar tools, see our Ahrefs vs KeywordsDB comparison too.
Quick Comparison
| Feature | Semrush | KeywordsDB |
|---|---|---|
| Overall scope | Full SEO suite | Focused keyword research tool |
| Keyword difficulty | Yes | No |
| Country databases | Yes | US only (for now) |
| Search workflow | Seed keyword and report-based research | Direct database search with filters |
| Open-ended keyword discovery | Good, but still report-led | Strong |
| Interface complexity | Higher | Lower |
| Pricing | Starts at $139/month | $9/month for unlimited searches |
The Main Difference
Semrush is not just a keyword tool. It includes:
- Keyword research
- Keyword difficulty and intent data
- SERP and trend data
- Competitor analysis
- Backlink tools
- Site audits
- Rank tracking
- Content and marketing tools
By contrast, KeywordsDB is much more focused. It is built for one job: searching a large keyword database however you want, with simple filters for keywords, volume, CPC, and competition.
So the question is not really which product is "better" in the abstract. It is whether you want a broad SEO suite or a focused keyword research tool.
Where KeywordsDB Feels Better
That difference shows up most clearly in how you actually do research. Semrush still pushes you toward a seed-keyword workflow: you type a topic, then work through keyword reports, clusters, and suggestions. That can be useful, but it is not the same as browsing a keyword database directly.
Because of that, KeywordsDB feels better when you want to:
- Filter without starting from a seed term
- Search directly by volume, CPC, and competition
- Mix filters freely to find odd or overlooked opportunities
- Move faster without jumping across multiple reports
That matters most when your research is exploratory. Sometimes you do not have a seed keyword yet. You just know the kind of opportunity you want to find, and you want to narrow in on it fast.
Here is an interactive demo so you can see that workflow in practice.
Keyword | Volume history | |||
|---|---|---|---|---|
Pricing Is Not Close
That difference in workflow leads directly to the next difference: pricing. Semrush is priced like a professional SEO suite, and its base plan starts at $139/month. KeywordsDB, by comparison, is $9/month for unlimited searches.
That is a very large gap. So if you mostly want keyword discovery, the question becomes pretty blunt: do you actually need the rest of the suite? If the answer is no, Semrush can be hard to justify.
Who Should Use Each
With that in mind, the split is fairly simple.
Semrush makes sense if:
- You want a full SEO platform
- You need keyword difficulty, intent, SERP data, and competitor tools in one place
- You use backlink analysis, site audits, and rank tracking regularly
- You are fine paying suite-level pricing
Meanwhile, KeywordsDB makes sense if:
- You mainly want to find keyword opportunities fast
- You prefer a simpler UI
- You want to search by filters, not just start from a seed keyword
- You want a much cheaper tool focused on keyword research
Final Verdict
Semrush is the more complete product, but KeywordsDB is the more practical product if you're doing only keyword research.
That is why this comparison ends up being fairly straightforward. If you need an SEO suite, pick Semrush. If you want a simple keyword research tool that costs a fraction of the price and gets you to the data faster, KeywordsDB is the better choice.
Try KeywordsDB for Free
You get 10 free searches when you sign up, which is enough to test the workflow, run real filters, and see whether the simpler approach fits how you work.
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