Content ExperimentationProve your content changes actually worked
Stop guessing. Test every content change against your AI visibility baseline and know — with statistical confidence — what moved the needle.
How It WorksFrom change to confidence in days
No A/B test infrastructure required. Publish your change — we handle the rest.
Change detected
Publish or update content — Sill detects it automatically via CMS integration.
Baseline captured
We snapshot your current visibility across all affected queries and platforms.
7–14 day monitoring
Track visibility changes daily with statistical controls — no extra setup.
Results delivered
Clear outcome: what changed, by how much, on which platforms, with confidence.
Change detected
Publish or update content — Sill detects it automatically via CMS integration.
Baseline captured
We snapshot your current visibility across all affected queries and platforms.
7–14 day monitoring
Track visibility changes daily with statistical controls — no extra setup.
Results delivered
Clear outcome: what changed, by how much, on which platforms, with confidence.
Experiment FeedEvery test, tracked and measured
Your experiment feed shows every content change your team has made, its impact, and statistical confidence. Share results with stakeholders in one click.
Recent Experiments
3 completed
Statistical RigorThe only rigorous way to know what worked
AI visibility moves every day for reasons that have nothing to do with you. Without a proper control group, any "improvement" could be noise. Our approach isolates your change so you can say with confidence: this worked.
Isolate your change
We compare queries affected by your content change against unaffected queries in the same time window. Platform-wide noise gets filtered out — only your change is measured.
Bayesian confidence scoring
Every result is powered by a hierarchical Bayesian model that estimates the probability your change had a real effect. Results earn a "Significant" badge only when confidence exceeds 90%.
Per-platform breakdown
A change that lifts ChatGPT but not Gemini tells a different story. We fit the model independently per platform, then combine with precision-weighted meta-analysis for the headline.
Clear ResultsOutcomes, not dashboards full of noise
Every experiment produces a clear answer your whole team can understand.
Stop guessing. Start testing.
Run your first experiment and see which content changes actually move the needle.