KDP Market Research Tool Used by Top Self-Publishers

Most KDP Publishers Waste Hours Reading the Wrong Signals.

BookEqualizer transforms fragmented Amazon listings into structured market intelligence so Publishers can focus on the KPIs that actually influence better publishing decisions.

Download The Extension
✓ No technical setup✓ AI workflow ready✓ CSV export included✓ Readable KPIs

Market KPIsLIVE
BSR Trends
Review Velocity
Pricing Patterns
Positioning Signals
Competitor Saturation
Buyer Sentiment
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Why Most Research Breaks

KDP Research Often Creates More Friction Than Clarity.

Publishers jump between search results, reviews, BSRs, product pages, spreadsheets, screenshots, and AI prompts. The important signals are there, but they are buried inside a messy workflow.

1

Important Signals Are Buried

Amazon shows useful market data, but it is scattered across listings, product pages, reviews, recommendations, and manual checks.

2

AI Needs Structured Inputs

ChatGPT, Claude, and Gemini cannot produce strong research from random screenshots, incomplete listings, or weak copy-paste inputs.

3

Vanity Metrics Distract

BookEqualizer helps surface BSR movement, review velocity, pricing behavior, saturation, positioning patterns, and buyer sentiment.

Core Engine

See the KPIs That Actually Matter.

BookEqualizer organizes Amazon results into a cleaner research interface so you can evaluate the market without opening dozens of tabs or building fragile spreadsheets.

✓ BSR, reviews, ratings, pricing, publishers, page counts, trends, and ASINs
✓ Advanced word filters, including negative filtering with “-” logic
✓ Multiple SERP page extraction for deeper market visibility
✓ Full CSV export for spreadsheets, databases, and AI workflows
Readable KPI Layer





AI-Ready Dataset
Titles
Reviews
Descriptions
Covers
BSR
Pricing
Ratings
ASINs
AI Workflow

Turn Amazon Into an AI-Ready Research Dataset.

AI tools cannot reliably fetch and structure Amazon data in real time without APIs, browser automation, MCP setups, or fragile scraping workflows. BookEqualizer gives publishers a simpler path: extract the data in the browser, then send it to ChatGPT, Claude, or Gemini.

✓ Customizable prompts from the settings page
✓ One-click workflows for title, subtitle, cover, review, and ad research
✓ Cover image attachments for AI visual analysis
✓ No API keys, no MCP setup, no automation stack
Simple Workflow

From Raw Listings to Better Publishing Decisions.

BookEqualizer removes the manual friction between Amazon research and usable decision-making. Extract, filter, structure, export, or send the dataset straight into your AI workflow.

1Extract Amazon SERPs and product-page competitors
2Filter words, remove irrelevant angles, and focus the dataset
3Read the KPIs that count most
4Export CSV or copy all ASINs for Amazon Ads
4Send structured data to ChatGPT, Claude, or Gemini
Built-In Workflows

More Than the typical KDP extension. A Research System.

BookEqualizer is designed around the actual jobs self-publishers repeat every time they validate a niche, build a book, or prepare an ads campaign.

AI

Reviews & Descriptions

Extract reviews, descriptions, listing metadata, and buyer language to uncover real frustrations, objections, and positioning gaps.

AD

ASIN & Ads Research

Copy all ASINs from SERPs and find competitors through related products, sponsored relationships, and Amazon recommendation sections.

CV

Cover Analysis

Attach selected covers into AI workflows to study thumbnail readability, typography, colors, genre patterns, and CTR positioning.

FAQ

Common Questions

Clear answers for publishers who want a practical research workflow without building a technical data pipeline.

Is BookEqualizer an AI tool?

BookEqualizer is a market research extension that prepares structured Amazon data for AI workflows. It does not replace ChatGPT, Claude, or Gemini. It gives those tools cleaner inputs so their outputs are more useful.

Why not just ask ChatGPT or Claude to research Amazon?

AI tools cannot reliably fetch and structure live Amazon SERP data on their own. Publishers usually need APIs, MCP setups, Playwright scripts, n8n automations, or paid scraping services. BookEqualizer simplifies the workflow inside the browser.

What KPIs does BookEqualizer help me focus on?

It helps organize key market signals such as BSR, reviews, ratings, pricing, publisher data, page count, trends, ASINs, positioning patterns, review velocity, and competitor saturation.

Can I export the data?

Yes. BookEqualizer supports full CSV export so you can analyze datasets in spreadsheets, save market snapshots, or use the data in external workflows.

Can I use it for Amazon Ads research?

Yes. You can copy all ASINs from relevant search results for competitor targeting and ad testing. It can also help identify related competitors from Amazon product-page recommendation areas.

Can I customize the AI prompts?

Yes. BookEqualizer includes customizable prompts through the settings page, so you can build reusable workflows for titles, subtitles, reviews, cover analysis, buyer personas, sales copy, and ads research.

Does it only work for one Amazon marketplace?

The tool is designed for multi-market research workflows and supports major Amazon marketplaces used by self-publishers..COM, .DE, .IT, .FR, you name it

Built for Data-Driven Self-Publishers

Stop Researching Blind.
Start Building with Real Market Intelligence.

BookEqualizer combines readable KPIs, structured Amazon data, AI workflows, review mining, cover analysis, CSV exports, ASIN tools, and competitor discovery into one streamlined KDP research environment.

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