Which AI Search Questions Should You Track? Start with Customer Reviews
AEKO Builds AI Search Prompts from Customer Reviews
One of the AEKO features our clients value most is the ability to extract context from customer reviews and turn it into prompts worth tracking.
Many AEO providers use reviews when generating prompts.
AEKO's difference is that it works from product information and reviews. The context extracted from those reviews can then flow from prompts into content, product pages, and even OpenAI ad creative.
Why Do Clients Like This Approach?
First, it is clear and intuitive.
No modeling. No statistical analysis.
- Connect the reviews.
- AEKO extracts product-level context such as recent concerns and customer situations.
- That context becomes prompts and OpenAI ad creative.
The process is easy to understand and easy to explain internally.
Second, it comes from traces left by real customers.
A brand does not need to target every person who uses AI search. It needs to reach the people who are genuinely likely to buy its products.
That is why the traces left by people who have already used a product may be more meaningful than the full universe of AI search data.
Reviews contain context about the problem a customer wanted to solve and the outcome they experienced.
As an AEO solution built for ecommerce, AEKO helps brands use customer reviews as a valuable asset for meeting new potential customers.
Reviews Reveal Why Customers Bought
What unmet needs do our customers have?
Who are our customer personas?
Which messages will resonate with them?
Marketers think about customers every day. They ask colleagues, run surveys, and conduct group interviews to hear the customer's voice.
AI search optimization works the same way. When you are unsure which prompts to track, customer reviews can provide the clue.
| Customer review | Example prompt |
|---|---|
| “Whenever I think my face looks awful, I use it for ten days straight and can feel my skin coming back to life day by day.” | Recommend an ampoule that is good for a focused one-to-two-week routine when my face looks dull and lifeless. |
| “It feels like a restorative tonic made for my skin.” | Recommend a concentrated ampoule that replenishes nourishment and moisture like a restorative skin tonic. |
| “I always keep backups. It is so easy to use, which makes it especially good for moms with babies.” | Recommend an ampoule that is quick and easy for a busy new mom who has little time for skincare. |
Some reviews explain the situation a customer was in, the problem they wanted to solve, and why they chose the product. Marketers often call this information “context.”
This is one reason ecommerce brands should actively encourage and manage reviews. The traces customers leave can give AI a reason to recommend the brand and help marketers discover the questions potential customers may ask.
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