Find what buyers ask, compare, and worry about before you write the page.
Decision language lives in buyer conversations.
Keyword tools tell you what buyers type. They cannot tell you why buyers hesitate, what they compare you against, or which words make them trust a product.
That information lives in buyer conversations. A Category Scan reads Reddit threads, reviews, YouTube discussions, and forums for your category.
It extracts the criteria, objections, comparison anchors, and exact phrasing buyers use.
The output is a Voice Map: your category's decision language, organized and sourced.
The map-and-freeze step.
The Category Scan maps the buyer language every later step consumes. It produces the Voice Map and freezes the buyer questions. Generations pull from the map. The baseline and re-measurement use the same frozen questions. Without the Voice Map, you are writing from seller assumptions and measuring against guesses.
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 entity links back to its source.
Every entity in a Voice Map links back to real posts and reviews.
Entities confirmed across more than one network are marked, because language that appears on Reddit and in reviews independently is stronger evidence than language from one thread.
A Voice Map describes how buyers talk now. Categories drift, so scans are dated.
Start with your category.
See what a Voice Map looks like
Next step: Apply. Generate content in buyer language.
Also in the loop: Product ScanAI Visibility
See it for your platform: Shopify storesAmazon sellersEtsy sellers