Marketing decisions you can prove.
Real AOS calls — grounded in live data, with confidence and caveats shown.
Use cases
- Content Building Products
Turning a messy inbox of client material into a usable catalogue
A building-products company had AOS index its inbox and content into a structured catalogue — each file tagged with type, status, and key metadata — so later runs could actually use the material. The system catalogued the files correctly and managed token cost by writing the index in segments. Cataloguing works; arbitrary-upload intake remains an open gap.
- 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 Company Formation Service
A blog hero image, rendered and delivered to Drive with a link that actually opens
A company-formation service needed a hero image for an article on forming a company in a specific market, rendered and saved to the client's Drive with an openable signed URL. AOS generated the image and delivered it as a working link — running image generation as a dedicated capability, deliberately kept separate from blog drafting.
- 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 Building Products
A Blog Post That Sounds Like the Brand — and Proves It Before Anyone Reads It
Asked to write a short, SEO-ready blog post in the client's own language, AOS produced a brand-true draft with sourced claims that then passed its own voice, citation, and draft-QA checks — the proven content golden path for a building-products company.
- 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 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%.