Miami shoppers ask for products in English, Spanish or a mix of both, and many Miami catalogs begin with imported goods, fashion, beauty and lifestyle lines. A feed built from a single translated title rarely captures that. Our team is natively Spanish-speaking and works remotely with Miami eCommerce stores to prepare product data for OpenAI that stays accurate in both languages and describes imported items the way shoppers search for them.
A shopper might ask ChatGPT for a hydrating serum for dry skin, then repeat the question in Spanish an hour later. Miami brands that sell fashion, beauty and imported lifestyle products face both versions of that buyer. Products that carry shade, size and ingredient attributes, and titles that read naturally in each language, are easier for an assistant to compare. Stores that rely on one supplier description often have none of this structure, and the gap shows up as soon as the assistant is asked a specific question.
Spanish product data aimed at US shoppers is possible. Keep one catalog, with language-specific titles and descriptions mapped to the right fields, instead of two catalogs that drift apart.
Products brought in through PortMiami or by air often arrive with supplier codes instead of GTINs. Missing or reused identifiers weaken the match between your item and the question.
Florida charges state sales tax plus county surtaxes, while orders shipped abroad follow different rules. Keep domestic prices and tax setup clean and check the details with a tax adviser.
The work is remote and starts with your data, not a meeting. You keep your store platform and we handle the feed layer.
We review English and Spanish titles, descriptions and attributes side by side, along with identifiers, variants and policy pages, and mark what is missing or inconsistent.
We map supplier codes, brand names and country-of-origin details into the fields the OpenAI specification expects, and flag items that need real GTINs.
You send us shipping tables, handling times and tax setup. We reflect them in the feed and check the product page for the same promise.
Each month we report feed status, mentions and referral traffic, and update the data as your seasons and suppliers change.
Twelve workstreams shaped around bilingual catalogs, imported goods and variant-heavy fashion and beauty products.
These workstreams overlap by design. Language mapping, identifiers and reporting start together, so a Miami catalog is not waiting on one finished stage before the next begins.
We say plainly what is wrong with a catalog, including thin translations and made-up identifiers, and we do not promise recommendations.
We specialize in product data for AI shopping channels, and our team is natively Spanish-speaking, which helps with bilingual titles and attributes.
We catch mismatched variants, reused codes and missing policies before they lead to a rejected feed or an incorrect answer.
OpenAI's merchant requirements and commerce protocols change, so we follow them and update the feed rather than leaving it as a one-time setup.
We stay on the account after launch, with monitoring and a direct line for questions.
Feed status, product mentions and referral traffic are reported as numbers, with notes on what changed.
Every Miami catalog has its own mix of languages, suppliers and seasons. We build the feed around yours, not around a template.
If your Miami catalog is not ready for AI assistants in English and Spanish, they will describe other products instead. Tell us what you sell and we will review your data.