What is OpenAI - Instant Checkout?
Instant Checkout is a new option from OpenAI that allows customers to complete their orders via chatbots. Instead of checking out via a traditional shopping cart, buyers complete the payment process directly in a conversation. For Dutch retailers on Shopify and Etsy, this works automatically; others can connect this via a product feed and a Stripe link.
How it works: The importance of data completeness
Think about how the user searches:
“I'm looking for waterproof trail running shoes with good cushioning for less than $150, to be delivered on Friday.” ChatGPT does not search by keywords. It splits that search query into structured fields: [product_category], [description], [price], and [delivery_estimate].
Result: The brand that wins is the brand that has provided the most complete and accurate data for each individual field. [material], [weight], [shipping], [return period], [number of product reviews] to capture all possible long-tail searches and fan-outs.
Many brands will remain out of reach with this, as their data does not go beyond category and price.
LLM Search Criteria: Product data = Conversion killer
- Achieve 100% field completeness of product data
- Improve the workflow that enables you to do this
- Reason which fields are popular search terms
- Treat your [description] as a knowledge base for your product.
- Structure everything so that the data is easy to find [material], [color], [size], [weight], etc.
Practical urgency for SME retailers: Product data
Now that Etsy and Shopify retailers are auto-enrolling, there is a huge divide between companies with clean, rich data and the rest. Brands with 90% field completeness will be recommended more often by AI shopping agents. Dutch fashion retailers can respond to this immediately by enriching their catalog with optimized fields: description, properties, color, fabric, size, fit, material, etc.
Unfortunately, entering this information is very time-consuming.
Fast product data for AI product search: Automated Commerce
Automated Commerce also enables SME retailers to apply this. Where it normally takes many hours to write complete product data, this can now be easily generated. Easily generate complete fields and optimize for LLM systems so that the products meet the search criteria of the AI/LLMS and are findable.
100% field completeness
Fill in all optional fields: from [color] and [size] to [return_window] and [product_review_count]. Each additional field increases visibility.
Description as a knowledge base
Think of the 5,000-character limit for [description] as an encyclopedia: describe materials, points of interest, and styling tips. This field feeds the AI with every long-tail question.
Build a data moat
Schedule a weekly review: check GLN codes, update delivery deadlines, and fill in missing reviews. Consistency wins in the long run.
With Automated Commerce, a webshop goes through the entire workflow in minutes: from product feed connection, enrichment of all content elements, and live push to the platform. Thanks to plug-and-play integration, the
Next steps for Dutch retailers
Starting with a data-driven feed creates a sustainable advantage in AI shopping. Discover how Automated Commerce can help you with this in a demo call.