What is SEO Testing?
SEO Testing is implementing and calculating if a content or tech change to the website improves search traffic and search positions. This could be a change to meta titles or H1’s, or even content. Tests tend to have a specific change and it’s recommended to make only one element change per test to understand clearly what drives impact.
What does this SEO testing tool do?
This free SEO testing tool helps you run controlled SEO experiments by splitting your website pages into test and control groups using stratified sampling. After your changes go live on the test group, it analyses the impact using a causal impact style interference analysis and Z-test to calculate if the changes were significant.
Why run an SEO test?
Making SEO changes without testing can lead to unpredictable results, wasted time, or even traffic loss. SEO split testing helps you validate changes before rolling them out site wide. It’s the difference between guessing and knowing.
Set up your SEO Split test in minutes
Use stratified sampling to split your pages into test and control a/b testing groups based on URL and Clicks data. Download page level clicks data from search console for the last 100 days and decide what pages you want to use for your test and control group.
Pre-check: Ensure your group has ideally 100,000+ total clicks over the last 100 days. This improves statistical reliability. Now import to the tool.
Once uploaded, our tool will automatically assign:
- Test Group – You’ll apply your SEO changes here
- Control Group – Leave these unchanged for a reliable baseline
🕒 Recommended test duration: 21–30 days (minimum of 21).
SEO Test Results: Impact Analysis
Measure the real impact of your SEO changes. After your test period is complete, use this tool to analyse the effect of your SEO experiment. Download daily search console data for your full group URLS. The daily traffic for both test and control groups of URLs must include the 100 days before the test and test period eg, 100 days+ 21 days test period. Pull data either by API or your database eg, Big Query.
Upload a CSV file with:
- date (Daily)
- URL
- test_traffic (daily traffic for each test page)
- control_traffic (daily traffic for each control page)
Like this:
Then, select:
- The test period (after changes were applied)
See import below.
How the SEO testing tool works:
The tool uses bootstrap causal impact (Bootstrap series inference) to forecast what test traffic would have looked like without changes. Then we compare this forecast against your actual results to identify the uplift or drop. The tool will then show whether the change was significant or not (Z-test), with the absolute change and percentage difference in clicks.
📊 Automatic Summary Includes:
- Downloadable visual graph and results
- Absolute and percentage difference between groups
- Results to tell you whether the outcome is:
- Positive & Significant (Statistically significant increase)
- Negative & Significant (Statistically significant decrease)
- Positive or Negative & Not Significant (The observed effect is not statistically significant, meaning it could have occurred by random chance).
Good Luck and Happy Testing!