AI is reshaping discovery. Is your data ready?Products are found, compared and recommended inside assistants like ChatGPT, Gemini and Perplexity – often chosen before anyone reaches your store. What shows up depends on the data behind it.
ON-SITE · THE CONTENT LAYERWhat AI understands about you
Your pages, schema and reviews – what AI uses to understand and mention your brand. The GEO discipline.
EXTERNAL · THE DATA LAYERWhat AI can use about your products
Your structured product data, made available to AI platforms and kept current – so the details they can use are accurate and under your control.
· WHERE ONDROP WORKS
30%
Unknown DTC brandappeared in recommendations
VS
2%
One of the world's largest fashion retailersappeared in recommendations
AI discovery: your productpage + the data behind it.
SPECIALIST PARTNER
The content layer
- Crawlable, schema-marked pages
- Conversational product content
- Reviews, ratings & authority
- GEO and visibility work
ONDROP
The data layer
- Structured data flow from source systems
- Attributes combined from connected systems
- Accurate, up-to-date price & stock
- Validation against each spec
- Per-destination mapping
- Commerce flows for future agentic checkout
FEED PARTNER TOOLS
Ondrop delivers clean, structured product data directly into the partner’splatform. Better input, stronger output.
POWER PARTNER OFFERINGS
Where a partner has no feed infrastructure of their own, Ondrop is the technical layer behind their offering.
WORK SIDE BY SIDE
Partners improve content and visibility. Ondrop handles the product data, pricing, inventory and feeds behind the scenes.
DTC growth is moving from one channel to many destinations. Discovery and demand increasingly start outside your own store, across marketplaces, retail partners, social commerce, search feeds and AI services.
Each destination has its own requirements for product data, categories, content, pricing, stock updates, errors, orders and returns.
Ondrop structures and maps product and commerce data per destination, so the right data is delivered in the right format and key flows stay updated over time.
Orders, returns, errors and signals sends back to your own systems, helping teams launch faster, reduce manual work and keep control as external sales grow.
Each destination has its own requirements for product data, categories, content, pricing, stock updates, errors, orders and returns.
Ondrop structures and maps product and commerce data per destination, so the right data is delivered in the right format and key flows stay updated over time.
Orders, returns, errors and signals sends back to your own systems, helping teams launch faster, reduce manual work and keep control as external sales grow.
B2B commerce rarely runs on one standard catalog. Distributors and wholesalers need to onboard product and commerce data from suppliers and brands, then make it accurate for customers, resellers and B2B portals.
Ondrop structures and maps data across these flows, so catalogs, prices, stock, orders and returns stay updated between supplier data, internal systems and customer-specific outputs.
This reduces manual updates, helps prevent order errors and makes B2B commerce easier to manage as the business grows.
Ondrop structures and maps data across these flows, so catalogs, prices, stock, orders and returns stay updated between supplier data, internal systems and customer-specific outputs.
This reduces manual updates, helps prevent order errors and makes B2B commerce easier to manage as the business grows.
Many customer projects need the same foundation: product data, pricing, stock, orders, returns, mapping and destination logic.
Ondrop provides that foundation through open APIs and dynamic mapping, so teams can reuse the core setup and focus on what makes each customer case unique.
This helps platforms, agencies and consultants deliver faster, reduce repeated custom work and make commerce implementations easier to maintain over time.
Ondrop provides that foundation through open APIs and dynamic mapping, so teams can reuse the core setup and focus on what makes each customer case unique.
This helps platforms, agencies and consultants deliver faster, reduce repeated custom work and make commerce implementations easier to maintain over time.
AI commerce tools and discovery platforms need data from more than a product page to produce better results.
Ondrop structures product and commerce data from multiple sources and keeps it available and up to date, including attributes, variants, pricing, stock, availability, delivery logic, return context and operational signals.
This gives AI services a stronger data foundation to improve relevance, product matching, recommendations and decisions.
Ondrop structures product and commerce data from multiple sources and keeps it available and up to date, including attributes, variants, pricing, stock, availability, delivery logic, return context and operational signals.
This gives AI services a stronger data foundation to improve relevance, product matching, recommendations and decisions.
