TrackIQ: Amazon Review and Voice-of-Customer Miner
Builds a voice-of-customer picture for a brand by sampling reviews across its own catalogue and its competitors, clustering what buyers praise and complain about into themes, and turning those into bullet and A+ copy directions plus negative keywords. Uses the full star distribution for anything quantitative because only about eight review bodies are retrievable per product.
SKILL OVERVIEW
What the Skill Does
More skills to help you grow across the entire Amazon business.
Clusters reviews into themes
What buyers praise and complain about, with counts.
Compares against rivals
The complaints competitors attract that you don't.
Uses the full star distribution
Every quantitative claim comes from complete rating data.
Turns themes into copy
Bullet and A+ directions for each theme worth answering.
Suggests negative keywords
Search terms that bring the wrong buyer.
GET STARTED
Download the Skill
Get the skill package or view the source code on GitHub.
SKILL EXAMPLES
Example of the Skill
The report this skill builds, shown here with demo data. Yours is filled from your own account when it runs.
The numbers
Ratings and star distribution for our products against competitors.
Themes
Each theme with its count, which side it's on, and whether the listing answers it.
Rival complaints and new themes
Complaints competitors attract and we don't, plus themes that are new or growing.
What to do with it
Each direction traced back to a theme.
REQUIREMENTS
What’s Required for the Skill
Make sure you have the following before getting started.
An active TrackIQ MCP connection to your Amazon account.
Three to five competitor ASINs to sample against your own catalogue.
Claude (Code, web or desktop) or ChatGPT. The same skill folder runs in each.
The MCP tools this skill calls:
─ READY WHEN YOU ARE
Run this skill on the TrackIQ MCP
Connect your data, run the skill, and turn your Amazon account into decisions.
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$69
/mo
16 tools · Full MCP access
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