Product assets generated
automatically, at volume
No one hand-builds a banner or a short-form clip for every channel.
AI ONE
AI search optimization, automated content production, and brand assets turned into knowledge
Content generated at volume through AI automation comes back as the brand's own asset.
Banners, detail pages, and short-form video generated automatically from product data.
Customer response accumulates as the brand's own knowledge.
AI answers the search now
Shoppers have started finding products through AI answers and visual search, not a search box.
Brands now carry two loads at once — being discoverable, and producing content at volume.
Product assets generated
AI banner and short-form generation
Channel-specific banners and short-form assets generated
automatically from product data, at volume.
Hyper-personalized recommendations · natural-language search
Customers search in natural language, and the more
response data accumulates, the sharper recommendations get.
Generative engine optimization (GEO)
Optimized so your brand and products surface in AI answers and generative search.
Data sovereignty
Product and customer data is never used to train an external model
From product data to the customer, in one flow
One pipeline minimizes marketing lead time.
01Product data
Images · specs · copyReviews · behavioral dataIntegrates with your existing commerce DBBrand guidelines
02AI ONE
Asset generation and optimizationHyper-personalized recommendations · natural-language searchGEO content structuring
03Customer touchpoints
Own store · marketplacesGenerative AI search visibilityAd and content channels
Operations and trust
How AI ONE is deployed, and who owns what it learns.
Deployment
Choose on-premise, cloud, or SaaS to fit the brand's environment. It integrates with your own store or commerce platform and sits on top of how you already operate.
On-premise, cloud, or SaaS available
Data sovereignty
What AI learns from brand data belongs to the brand. Product and customer data is never used to train an external model.
On-premise option protects your data
Proving it in commerce first
SKAI is proving the commerce pipeline
with a global brand.
A global golf and apparel brand
A PoC is under way to prove automated product content and generative engine optimization (GEO) as a single pipeline.
Expanding into industries that share the same product-data structure.
LivingFood commerceGolfFashion and apparelBeautyDirect-to-consumer brands
Frequently asked questions
Can you create content from product data alone?
Feed in product data — images, catalogs, attributes — and channel-specific banners and short-form assets are generated automatically. You can start without a new photo shoot.
What does it take to get our products surfacing in AI search?
Generative engine optimization (GEO) tunes your brand and products to surface in AI answers and generative search.
Do we publish AI-generated content as-is?
Everything generated goes through review and revision, adjusted to your brand guidelines before it publishes.
Does our product and brand data leave our environment?
It runs entirely inside your environment, and your data never leaves it.
How do we get started?
Connect your product data and the pipeline runs from content generation through to AI search visibility. We'll recommend the right setup after a consultation.
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