SEO
experiments
Search theories tested and published openly.
Controlled SEO experiments that challenge assumptions, test common search myths, and are widely referenced across the SEO industry.
Experiments
LLM.TXT experiment - Texting AI bots
A methodical test of the LLMs.txt file, and if/how they can be used to influence AI and LLM crawling behaviour.
Negative GEO experiment
A controlled experiment to test if and how negative GEO works in AI in the real world, and how easy it is to manipulate AI models.
Influencing AI
A test to uncover if and how large language models can be influenced to include desired content in their responses.
AI vs humans
A controlled experiment to test how the rankings of AI generated content compares to human written content.
The SEO content compression experiment
Analysis of 42,000 webpages to look at content compression and ranking correlations.
Cats vs dogs
An ongoing test to gauge Google's use of image text readability in the search results.
404 vs 410
Google treats 404 and 410 URLs differently, but how differently? We looked at over 350,000 rows of data to find out.
Google image reading experiment
An ongoing test to gauge Google's use of image text readability in the search results.
Experiment recognition and coverage
Reboot Online performed some wonderful, large-scale, long-term tests of CSS, of text area, of visible text, and of JavaScript hiding across many domains over a long period.
They basically proved to us that what Google says is in fact true, that they are treating hidden text with less weight.
Videos featuring our experiments
