Marketing decisions you can prove.
Real AOS calls — grounded in live data, with confidence and caveats shown.
Use cases
- Positioning Pet-supplies E-commerce
"What do you know about this client?" — and the answer was actually right
A pet-food e-commerce retailer asked AOS to recall everything it had stored about the account. The system returned an accurate summary of the real business — the holding company, the webshop domain, the product category, the platform — drawn from stored workspace context rather than invented. The grounding check that proves the rest of the system is standing on solid ground. Cost: $0.14.
- Brand Building Products
Re-running onboarding on a live client — and the safety guard held
A building-products company that was already fully onboarded had its onboarding deliberately re-run to test the write-guard. AOS detected the existing setup — a config with fourteen fields and fifty-three Drive files — did nothing destructive, and cleanly no-op'd. The safety property is the use case. Nearly free, at $0.05.
- Positioning GTM Consultancy
Arcanian maps its own competitive landscape and finds one defensible wedge
Dogfooding AOS on its own GTM, Arcanian analysed its two real competitor categories — generic AI used ad-hoc and traditional agencies/consultancies — and distilled a single wedge neither can copy: 'GTM without the dependency.'
- Positioning GTM Consultancy
Arcanian's buyer belief profile, with one belief to shift per ICP
Dogfooding AOS, Arcanian mapped two buyer ICPs plus a qualifying overlay, separating beliefs that help the sale from those that block it, and isolating the single highest-leverage belief to shift for each.
- Brand GTM Consultancy
A brand build that caught and disregarded a two-hop prompt-injection attack
On a brand build for its own GTM, Arcanian's discovery step found two coordinated prompt-injection files in the inbox, identified the relay-plus-payload pattern, disregarded them in full, and proceeded with a clean brand consolidation.
- Brand GTM Consultancy
We built our own brand foundation with AOS, end to end
Arcanian ran AOS on itself, orchestrating positioning, ICP, and offer into a single coherent brand system in one pass.
- Positioning GTM Consultancy
Defining our own ideal customer, with explicit anti-profiles
Arcanian used AOS to draft two grounded ICPs plus a fast fit-scoring checklist and named the buyers it should deliberately turn away.
- Positioning GTM Consultancy
Designing our own offer around outcomes, not features
Arcanian used AOS to package its offer into two ICP-mapped tiers plus a low-commitment entry sprint, with risk reversal scoped to what the business actually controls.
- Positioning GTM Consultancy
Mapping the jobs our buyers hire us for, and the ones we hire AOS for
Arcanian used AOS to map both the external jobs customers hire the methodology to do and the internal jobs the business hires its own system to do.
- 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%.