CHATGPT SHOPPING VISIBILITY

Prepare product data for ChatGPT shopping discovery without guessing.

Check published OpenAI commerce-feed fields, product-page evidence and implementation gaps, then remeasure what changed.

Measured evidenceCatalog-level diagnosticsImplementation-ready findings

What “ChatGPT shopping visibility” should mean for a merchant

There are two different jobs: preparing trustworthy product data for OpenAI commerce surfaces, and measuring whether a product actually appears in a ChatGPT shopping experience. Those should not be mixed together. Lumen currently audits published OpenAI commerce-feed readiness and clearly labels third-party search evidence; it does not relabel that evidence as a direct ChatGPT result.

Start with the product record

Lumen checks the required commerce-feed fields across the reviewed sample and calculates a readiness score. Missing fields become prioritized fixes, so a team can improve the underlying catalog instead of guessing which copy change might help.

Then remeasure

The first assessment establishes a baseline. After fixes are implemented, later measurements can compare recorded product issues, high-priority gaps, feed-field completeness and measured search evidence. No outside provider can guarantee that ChatGPT will recommend a product.