Head-to-head comparison

Keywords Everywhere vs Ubersuggest

Comparing Keywords Everywhere and Ubersuggest to help you pick the right Keyword Research Tools for your needs.

Feature Keywords Everywhere Ubersuggest
Pricing Paid Freemium
Platforms Web Web
Editorial rating ★ 4 / 5 ★ 3.7 / 5
Starting price $10per 100k credits $0/month
Community votes 18 17

Keywords Everywhere Pros & Cons

  • Shows keyword data inline in Google search — no context switching to a separate tool
  • Works on Google, YouTube, Amazon, Etsy, and 15+ other platforms
  • Credit-based pricing with no subscription — pay only for what you use
  • Trend data shows historical search volume alongside current metrics
  • Data accuracy varies compared to direct API sources like Google Keyword Planner
  • Chrome extension requires trust with browsing data
  • No project management or rank tracking features unlike full SEO platforms

Ubersuggest Pros & Cons

  • Much cheaper than Ahrefs or SEMrush for solo users and small sites with modest research volume needs
  • Free tier is genuinely usable for occasional keyword lookups without requiring a paid subscription
  • Simple, beginner-friendly interface that doesn't require prior SEO tool experience to navigate
  • Content idea suggestions help with topic brainstorming alongside pure keyword data
  • Backed by Neil Patel's substantial SEO content and educational following, providing context for how to use the data effectively
  • Data depth, backlink index size, and update frequency lag meaningfully behind the bigger SEO platforms like Ahrefs and SEMrush
  • Daily and monthly search limits are restrictive even on paid plans, compared to the higher caps competitors offer at similar price points
  • Less suited to serious competitive research or large-scale enterprise SEO programs needing comprehensive, frequently refreshed data
  • Some keyword volume and difficulty estimates are considered less accurate than the more established, larger-scale competitors

Verdict: Keywords Everywhere vs Ubersuggest

Keywords Everywhere and Ubersuggest both serve the Keyword Research Tools category well, but suit different priorities. Ubersuggest is the more budget-friendly option, Keywords Everywhere carries the stronger editorial rating (4 / 5), Based on community engagement, Keywords Everywhere is currently the more widely adopted choice (18 votes), but the better fit ultimately depends on your specific pricing, platform, and feature requirements.

Frequently Asked Questions

Which is cheaper, Keywords Everywhere or Ubersuggest?
Ubersuggest is the more affordable option overall — it's offered as freemium, while Keywords Everywhere is paid. Check each tool's current pricing plans for exact figures, since promotional rates and annual discounts can shift the comparison.
Is Keywords Everywhere or Ubersuggest rated higher?
Keywords Everywhere has the higher editorial rating at 4 out of 5, compared to Ubersuggest's 3.7 out of 5. This is Kreemhunt's own staff rating, not a public user aggregate — review the pros and cons below for specifics that matter to your use case.
Which platforms do Keywords Everywhere and Ubersuggest support?
Keywords Everywhere is available on Web. Ubersuggest is available on Web. Both tools cover a similar range of platforms.
Can I switch from Keywords Everywhere to Ubersuggest (or vice versa)?
Most keyword research tools tools, including Keywords Everywhere and Ubersuggest, support data export in standard formats, making migration possible though rarely fully automatic. Expect to manually verify that custom configurations, integrations, and historical data transfer correctly, and budget time for the team to adjust to workflow differences between the two products.
Should I choose Keywords Everywhere or Ubersuggest?
Keywords Everywhere and Ubersuggest both serve the Keyword Research Tools category well, but suit different priorities. Ubersuggest is the more budget-friendly option, Keywords Everywhere carries the stronger editorial rating (4 / 5), Based on community engagement, Keywords Everywhere is currently the more widely adopted choice (18 votes), but the better fit ultimately depends on your specific pricing, platform, and feature requirements.