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.
- Demand Capture Software Training
Not a Budget Problem — a Rank Problem the Spend Couldn't Buy Around
A software-training company asked why its Google Ads account wasn't spending or delivering more. Without opening the ad UI, AOS read the account from the data and made the non-obvious, correct call: the account was rank-limited, not budget-limited — backed by an impression-share lost-to-rank table — in a fast, cheap run.
- GTM Diagnosis Software Training
Competition, Not a Shrinking Market — the Distinction That Changes the Response
A software-training company needed to know whether its decline meant competitors were taking share or the whole market was contracting. Combining SEMrush with Auction Insights, AOS drew the distinction cleanly — the drop is competition-driven, not market-driven — and backed it with a head-to-head competitor table, fast and cheap.
- Demand Capture Pet-supplies E-commerce
A reviewable Google Ads structure for a pet-food category — built, not uploaded
A pet-food e-commerce retailer needed a defensible starting point for a Google Ads campaign on a core product category: a coherent ad-group and keyword structure plus on-brand responsive search ad copy. AOS produced both and stopped at the deliverable, deliberately leaving the live upload paused for a human to review.
- Creative E-commerce Software
A Meta creative audit that takes a position instead of rubber-stamping
An e-commerce software vendor needed a real assessment of its Meta/Facebook creatives — which were working, which were worth boosting, and which were not — with reasons, not approval. AOS audited the creatives, took a clear stance with specific fixes rather than a flattering pass, and saved the write-up to Drive.
- Creative Pet-supplies E-commerce
A full Google Ads asset pack — text and images — assembled from two deliberate passes
A pet-food e-commerce retailer needed a complete Google Ads asset pack for a campaign asset group: responsive search ad text and extensions plus image creatives. AOS assembled it from two passes — text generation, then image generation — each a proven capability in its own right. The caveat is honest: it is composed from two skills run separately, with no single unified asset-pack skill yet.
- Content Pet-supplies E-commerce
13,538 Characters of On-Brand Product Copy, Generated in One Pass
A pet-food retailer needed category, meta, and product descriptions rewritten at volume — SEO-optimized, brand-aligned, and in the local language. AOS produced 13,538 characters of on-brand keyword-aligned copy in a single generation pass, stopping deliberately short of touching the live webshop.
- 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%.