Marketing decisions you can prove.
Real AOS calls — grounded in live data, with confidence and caveats shown.
Use cases
- SEO GTM Consultancy
Auditing our own visibility in AI answer engines
Arcanian probed how an AI answer engine cites and describes it, scoring two AI-discovery surfaces and finding the brand invisible to category-level AI search.
- SEO Marketing Agency
Schema Built for the Right CMS — and a Broken URL Caught on the Way
Tasked with generating an FAQ block and JSON-LD structured data for a service page so it gets picked up by AI Overviews, AOS detected the underlying CMS, flagged a 404 on the target URL, and emitted valid schema for the correct content type.
- Measurement Home Furnishings Retail
A monthly performance report that reconciles with source — not a data dump
A home-furnishings retailer needed a single monthly cross-channel performance report, but the numbers lived in four disconnected places: Google Ads, Meta, GA4, and a Databox board nobody fully trusted. AOS produced a saved report where every headline figure reconciled against its source system and one material finding — conversions down ~13.74% month over month — was flagged rather than buried. The whole run cost $0.19.
- 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%.