AI Review Topics

AI Review Topics is currently in early access. Some features may not be available or change before the full release. If you have feedback or would like access before the general release, please contact your customer success manager.

AI Review Topics analyzes the most linguistically prominent words or phrases within the reviews of a product to generate a list of themes or topics associated with those words that shoppers can then use to filter product reviews by those areas of interest.

How do AI Review Topics Work?

Our LLM (large language model) processes the reviews of a particular product to identify linguistically prominent words or phrases contained within the reviews for that product. From this analysis, it generates a list of relevant themes or topics associated with these key terms. The AI then maps existing and incoming reviews to the topics it relates to, helping shoppers navigate large volumes of reviews more efficiently.

A product needs to have at least 50 product reviews before we can analyze the reviews for relevant topics. For products that share a virtual parent code (VPC), there must be at least 50 reviews across all of the products.

The topic filter is shown in a special Customers talk about section of the Review List Widget. The order of the topics is determined by the number of reviews identified for each topic.

Key Benefits

• Topic-Based Filtering
  Shoppers can filter reviews by specific topics, making it easier to find relevant insights on features, performance, or common concerns.

• Improved Discoverability
  AI ensures that the most frequently discussed aspects of a product are highlighted, so shoppers can quickly access what’s most important to them.

• Efficiently Find Reviews
  Instead of manually sifting through every review, the AI organizes feedback by key topics, saving time and enhancing the shopper experience.