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Connect guide · BigCommerce
Get your correct product images onto BigCommerce
BigCommerce's catalog import fetches each image from a link. Drop your BrandrAI links in and import.
The whole idea in one line: the directory holds your correct image at a link, and BigCommerce can read images from a link, so connecting them just means handing over the link.
Path A · Ask your AI
No code · no keys
Best for checking a brand, grabbing a handful of images, or handing correct links to whoever updates your menu.
- Connect Claude or ChatGPT to BrandrAI. Add this as a connector. It's open, so there's no login or key. directory.brandrai.com/mcp
- Ask for your images. Paste this into a new chat with BrandrAI turned on:
Using the BrandrAI directory, find the correct product image for each item below. For each, give me the product name, the matched BrandrAI product, a confidence score, and the image URL. If you are not confident or there is no match, say so, do not guess.
[paste your product names, one per line]
Or grab a whole brand at once: "Using BrandrAI, list every product for [brand] with its correct image URL." That's the most reliable way.
- Use the links. You get back the correct, brand-approved image link for each product, with a confidence note (it says "no match" instead of guessing).
Path B · Product CSV
Self-serve · no keys
Best for a whole catalog at once, and it needs no developer.
- Get your correct image links from Path A (ask for the whole brand), or export them from your BrandrAI directory page.
- Put each link in the image column. BigCommerce downloads the image from the URL. The column is Product Image File - 1. Use numbered columns (- 2, - 3) for more images.
- Import the file. The platform downloads each image from the link during import and copies it to its own storage.
Path C · By hand
No keys · no tools
Best for one or two products.
- Get the correct image file. Open the image link the AI hands you in Path A (or a link from your private BrandrAI workspace) and save the image.
- Upload it to that product in BigCommerce's back office. Done.