- Will it actually know our brand, or does everything come out generic?
- We crawl your URL before your first prompt: products, palette, tone, vocabulary, and the words you never use. All of it is stored as persistent context, and every generation pulls from it. Most teams refine a few tone words in the first ten minutes and stop re-briefing after that.
- We manage 20+ brands. Does that scale?
- Yes. Each brand keeps its own isolated assets, voice, and palette. Agencies typically run all clients under one organization so they share a single credit pool and one team login. Switch brands in a click.
- What if the AI gets the product wrong?
- Every SKU is read into a typed record: the description verbatim from your page, price, category, features and specifications, materials, sizes. Its real images are downloaded into our own storage, so generation runs against your photography rather than a description of it. A validator rules on every product we extract, with a confidence score and a reason you can read, and anything it cannot call lands in your review queue instead of your catalog. You approve or reject before it reaches a single generation.
- Who approves before anything goes out?
- You do. Every workflow has a human approval step, and nothing leaves it without your sign-off.
- How does cost work across a multi-brand portfolio?
- One credit pool per organization. Any brand draws from the same bucket. Per-brand cost reporting ships post-beta so you can pass costs through or absorb them into retainer.
- What about data and compliance?
- GDPR-compliant. Your data is never used to train shared models. SOC 2 Type II is in flight. Enterprise plans include regional data residency, private deployment, and a signed DPA on request.