Jacksonville is where I-95, I-10, rail lines and a deepwater port meet, so many Northeast Florida stores ship from their own warehouse or a distributor. That only helps in ChatGPT Shopping if the product feed says it accurately. We work remotely with Jacksonville eCommerce stores to turn ERP and warehouse data into a clean feed for OpenAI, with unit-level identifiers, honest availability and shipping terms an assistant can compare.
Many Jacksonville sellers are distributors, importers or brands that started by selling to businesses and now sell to consumers too. Their catalogs often hold case packs, multipacks and wholesale SKUs next to single units, and an assistant compares products one unit against another. If a feed blurs that line, ChatGPT can quote a case price for a single item or skip the product because the identifiers do not match. Separating those listings is usually the most valuable first step for a catalog built around logistics.
Give each sellable unit its own identifier and price, and state the pack size in the title and attributes, so a case is never compared with a single item.
Ground shipping from Northeast Florida reaches Georgia and the Carolinas quickly, but the feed should only claim what your shipping table and carrier agreements support.
Florida applies a state sales tax and counties add discretionary surtaxes, so prices and tax shown to shoppers must match the cart. Confirm the setup with your tax adviser.
We work remotely in three stages: audit, fix, monitor. You keep your platform, and your warehouse or ERP system stays the source of truth.
You give us read access to the store and an export from your ERP, WMS or inventory tool. We check identifiers, pack sizes, variants and the policies a feed must carry.
We map the catalog to OpenAI's published specification, separate case, multipack and single-unit listings, and rewrite titles around what shoppers actually ask.
We ask for your shipping table, handling times by warehouse and tax setup, then reflect them in the feed and check the product page says the same.
Feed status, new-product sync and AI referral traffic are reviewed every month, with a short list of what to fix next.
Twelve workstreams, adapted to the way Jacksonville distributors, importers and direct-to-consumer brands manage their catalogs.
The workstreams run in parallel. While we clean the unit data, eligibility, structured data and reporting are already moving, so a Jacksonville catalog does not wait months for one step to finish.
We tell you the real state of your catalog and what OpenAI would likely reject, without padding the diagnosis or promising recommendations.
Our focus is product data for AI shopping channels, including how feeds differ between ChatGPT, Google, Microsoft and marketplaces.
We fix mismatched prices, stock and pack sizes before they cause a rejected feed or a wrong answer about your product.
AI shopping specifications change often, so we follow OpenAI's merchant requirements and adjust your feed when they do.
After launch we keep watching the feed and answer questions, instead of delivering a report and leaving.
You get feed status, product mentions and referral traffic as clear numbers, with changes explained.
We do not use a generic checklist. A Jacksonville distributor with thousands of SKUs and a small Florida brand with fifty need different feeds, and we build for the catalog you actually have.
If your Jacksonville catalog is not ready for AI assistants, they will describe someone else's products. Tell us what you sell and we will review your data.