Turn reviews and buyer questions into the product-page changes shoppers need.
Both sides of the buying decision.
Your reviews explain why people bought.
Your competitor's reviews explain why people did not buy from you.
A Product Scan reads both sides for one product. It extracts what buyers praise, what they warn about, what they wish they had known, and the exact words they use for each.
The output is a Voice Profile: the decision language around your specific product, not just your category.
The product-level map-and-freeze step.
The Product Scan produces a Voice Profile and freezes buyer questions for one product. The Category Scan gives you the category's language. The Voice Profile shows where your product sits inside it: which objections hit you specifically, and which strengths buyers already confirm. Generations that use both layers address the objections your page currently ignores.
Run a Category Scan or Product Scan to map buyer language and freeze the questions.
Run the frozen questions before publication and record the recommendation evidence.
Publish buyer-matched content to an accessible surface and record the change.
Run the exact same questions again and compare.
Every finding cites its source.
Every finding cites its source reviews and threads.
A Voice Profile reflects the reviews that exist. Products with few reviews produce thinner profiles, and the profile says so instead of padding.
Scan your product.
See the scan evidence in context
Next step: Apply. Generate content in buyer language.
Also in the loop: Category ScanAI Visibility
See it for your platform: Shopify storesAmazon sellersEtsy sellers