An illustrative workflow for a fictional brand. This is not a record of a client engagement or measured customer results.
Start with the questions that matter in the US market
Imagine a Korean skincare brand introducing its products to US shoppers. Begin with a representative product and a reason to buy. “Moisturizer for dry skin” and “a fragrance-free moisturizer for a simple travel routine” describe different choices.
Use product information and actual reviews to draft candidate questions. Separate unbranded discovery questions from named product comparisons. These are research prompts, not observed consumer AI search logs or measures of prompt volume.
Record mentions and citations separately
Run the selected prompts under consistent engine, language, and market conditions. Record whether the product is mentioned, how it is described, its position where meaningful, and any linked sources.
If the product is absent, inspect which competitor information answers the question. If its description is inaccurate, compare it with official product evidence. Absence and conflicting information require different actions.
- Save the prompt, engine, market, language, and review time.
- Inspect the mention, cited URL, and product description separately.
- Keep the collected-answer count so the next measurement has a comparable denominator.
Improve the product page
Put ingredients, usage, size, fragrance, shipping, and returns in readable page text. Keep statements tied to product evidence. A personal experience in a review does not establish a general product benefit.
JSON-LD can express product facts that match the visible page. Check that the public page is accurate and accessible; adding structured data alone does not establish that an AI answer will cite it.
Publish, then compare under the same conditions
Choose a buying guide, comparison, or usage explanation to address the information gap. Publish on a suitable destination, such as your store or AEKO Shop, and reuse reviewed brand skills for the next product.
Repeat the same prompt checks after publication. Review AI-referred sessions and conversions separately in connected analytics. This example does not promise a particular improvement or time to results.
Continue in AEKO
Frequently asked questions
Is this a measured customer case study?
No. It is an illustrative workflow for a Korean beauty brand entering the US market. It does not claim customer results or a predictable performance increase.
Should I start with a large prompt set?
Start with representative products and buying situations that you can compare consistently. Expand the tracked set according to your plan and operating needs.