SEOTesting
SEO TestingStatistical significance testing for SEO changes
Overview
SEOTesting brings scientific rigor to SEO experimentation by measuring the statistical significance of changes to organic search performance. Founded in 2019, the platform addresses a critical gap in SEO workflows where practitioners often struggle to isolate the impact of specific optimizations from general traffic fluctuations. Unlike broader conversion testing tools, SEOTesting focuses exclusively on organic search traffic impact measurement.
The platform integrates directly with Google Analytics to automatically collect traffic data for test and control page groups. SEOTesting calculates statistical significance using established methods including confidence intervals and p-values, helping SEO teams move beyond anecdotal evidence to data-driven decision making. This positions it as a specialized alternative to discontinued tools like Google Optimize for SEO-specific experimentation.
The tool handles various testing scenarios from content changes and technical improvements to page structure modifications. Its statistical engine accounts for seasonality, trend analysis, and external factors that could influence results, providing more reliable insights than simple before-and-after comparisons that most SEO teams rely on.
Key features
Split URL Testing
Test different page versions against control groups to measure traffic impact with statistical confidence.
Impact Measurement
Quantifies organic traffic changes from SEO modifications using Google Analytics data integration.
Statistical Significance
Provides confidence intervals and p-values to determine when test results are statistically meaningful.
Google Analytics Integration
Direct connection to GA4 and Universal Analytics for automated data collection and analysis.
Test Duration Calculator
Calculates optimal test length based on traffic volume and expected effect size for reliable results.
Experiment History
Tracks all past tests with results archive for building organizational SEO testing knowledge base.
Pricing
| Plan | Price | Includes |
|---|---|---|
| Free | $0 | Basic testing, limited experiments, community support |
| Starter | $35/mo | Unlimited testing, advanced analytics, email support |
| Growth | $99/mo | Multiple websites, team collaboration, priority support |
| Scale | $299/mo | Enterprise features, custom integrations, dedicated support |
FAQ
How long do SEO tests need to run for valid results?
Test duration depends on your traffic volume and expected impact size. SEOTesting's calculator typically recommends 2-8 weeks for most sites to reach statistical significance.
Can SEOTesting measure ranking changes from experiments?
No, SEOTesting focuses on organic traffic impact measurement through Google Analytics integration. It doesn't track keyword rankings directly.
What's the difference between SEOTesting and Google Optimize?
Google Optimize (now discontinued) was for conversion testing. SEOTesting specifically measures SEO changes' impact on organic search traffic with statistical rigor.
How accurate are SEOTesting's statistical calculations?
The platform uses standard statistical methods including t-tests and confidence intervals. Accuracy depends on having sufficient traffic volume and proper test setup.
Can I test technical SEO changes with SEOTesting?
Yes, any change that might affect organic traffic can be tested including page speed improvements, schema markup, meta tags, and content modifications.
Review Sentiment
15 reviews across 1 source
Bottom line
Try before you buy: SEOTesting offers a free tier and holds a 4.6/5 for measures statistical significance of SEO changes. Paid plans start at $35/mo, and the main trade-off is requires existing Search Console data.
People love
- +Measures statistical significance of SEO changes — proves whether title tag edits actually worked
- +Integration with Google Search Console provides accurate traffic impact data
- +Time-based annotations make it easy to correlate changes with performance shifts
Common complaints
- –Requires existing Search Console data — cannot test from scratch
- –Statistical significance takes time — not useful for rapid testing cycles
- –Starting at $35/mo is an added cost for what is essentially an analytics layer
Last updated Feb 2026