Why doesn't AI recommend our Korean skincare product even though we have an English product page?

On this page
An English translation makes a Korean skincare page readable, but it may still leave the recommendation question unanswered. The page must identify the exact US product, explain relevant use cases such as texture or skin concern, and agree with current price, stock, seller and retailer information. SearchD checks those facts against the sources in actual AI answers; no page or feed guarantees a recommendation.

What can an English product page still be missing?

A translated page can name a product without explaining why it fits the shopper’s question. Give each US version a clear English page with its approved ingredients, size, texture, intended use, seller and purchase link. Keep the formula and claims specific to the product sold in the US.

OpenAI’s product-feed specification, checked September 17, 2026, requires item identity, title, description, product URL, brand, seller, image, availability and price. Keep variants separate: a travel size or a different market’s formulation should not inherit another product’s facts.

For “Which Korean moisturizers have a lightweight gel texture?”, the page needs to state the texture in readable product copy. Translating a product name and ingredient list does not supply that answer.

Will a product feed solve the problem?

Keep the website and feeds consistent. OpenAI’s integration guide describes feeds as a source of current catalog information; direct onboarding is available to approved partners. Check access before promising a custom integration.

For eligible stores, Shopify’s ChatGPT channel supports product discovery through Shopify Catalog and sends shoppers to the merchant’s checkout. Shopify also documents web crawling as a separate discovery route. These are ways to make information available, not evidence that a specific product has been recommended.

Two published specifications set the floor here, and both were checked on the same date:

Requirement What it requires Source, checked 17 September 2026
Product feed fields Item identity, title, description, product URL, brand, seller, image, availability and price OpenAI’s product-feed specification
Price and availability Must agree with the landing page and checkout Google Merchant Center’s specification

Those requirements concern each provider’s own product experiences. Neither establishes ChatGPT’s ranking rules.

Why must US purchase information agree?

Check the exact offer a US shopper can buy. Compare the product page, feed and retailer listing for the same size, formula, currency, stock status and delivery destination.

Google Merchant Center’s specification, checked September 17, 2026, requires product price and availability to agree with the landing page and checkout. Google’s product documentation describes both on-page structured data and Merchant Center feeds. Those requirements concern Google product experiences; they do not establish ChatGPT’s ranking rules.

Why inspect the sources in the AI answer?

Inspect the sources in the actual answer before translating more content. Record whether a claim comes from the brand, an authorized retailer, a review or an editorial comparison. Verify the product version, date and evidence behind each claim. A reviewer’s experience remains a review, not proof that an ingredient treats a condition.

What does SearchD improve first?

SearchD starts with the agreed US buyer questions and the sources ChatGPT uses. It compares those answers with approved product facts, then prepares the page, feed or supporting-content changes the evidence calls for. The K-beauty guide provides example questions; the 12-week plan explains the engagement. For listing disagreements, use the Amazon and brand-site checklist.

Who do US buyers find instead of you?

See who US buyers find instead of you.

Send us your URL. We run 20 buyer questions across five engines by hand and send you the transcript back within 48 hours.

What arrives
20 questions, 5 engines, who was named instead, and every source those answers cited
Who sends it
Snow Lee, by hand, from San Francisco. He also runs Runbear, an AI product 644 companies have paid for as of September 2026.
Your email
Used to send the report and reply about it. Privacy.

What the free report looks like. Yours is built from your own category and market.