Marketing decisions you can prove.
Real AOS calls — grounded in live data, with confidence and caveats shown.
Use cases
- GTM Diagnosis Company Formation Service
Rankings Held, Traffic Fell — and the Real Culprit Wasn't On the Page
A company-formation service was losing organic traffic while its rankings looked stable. AOS ran a diagnosis on fresh telemetry and returned a causal chain rather than a hygiene list — an authority deficit, triggered by the March 2026 core update, with a competitor absorbing the released demand — naming the root cause instead of the symptoms.
- Measurement E-commerce Software
An integrity check that catches a mislabel before it becomes a wrong decision
An e-commerce software vendor asked for the key Google Ads and GA4 metrics for the last full month — with a twist: don't just report them, sanity-check them. AOS pinned every figure to its source, tagged each as [DATA], and ran the checks that catch the two classic reporting failures: a revenue-versus-spend mislabel, and a Databox datasource quietly connected twice. The run cost $0.07.
- Measurement E-commerce Software
A panicked client email, verified line by line — and three claims corrected
An e-commerce software client sent an alarming email: traffic had dropped hard, roughly 1.5x worse than usual, and they'd lost a large sum in ad revenue that week. AOS refused to take the narrative at face value. It checked each claim against owned data, produced a verdict table that corrected all three claims as false, and identified the real problem — ROAS erosion driven by average order value falling ~17.6%.