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 intervention step.
The Category Scan is the intervention step. It produces the buyer language every later step consumes. Generations pull from it. Visibility questions are built from it. Without the Voice Map, you are writing from seller assumptions and measuring against guesses.
See which products ChatGPT, Gemini, and Perplexity recommend for your category today.
Run a Category Scan or Product Scan to extract real buyer language.
Generate and publish content written in that language.
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