A comprehensive keyword intelligence engine for Amazon sellers to uncover traffic-driving search terms, perform ASIN reverse lookups, and optimize CPC ad targeting.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-keyword-reverse-lookup
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install amazon-keyword-reverse-lookup using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amazon Keyword Reverse Lookup Engine?
The Amazon Keyword Reverse Lookup engine is a powerful tool designed for Amazon Listing optimization and data-driven keyword research. By analyzing a specific ASIN or product description, this skill uncovers the exact keywords driving traffic, ranging from high-volume head terms to conversion-focused long-tail opportunities. It serves as a vital resource for sellers looking to dominate search results and maximize the efficiency of their advertising spend.
Built to integrate seamlessly within a developer-centric workflow, it provides deep insights into competitor strategies through reverse ASIN lookups and keyword gap analysis. Whether you are launching a new product or scaling an existing brand, this engine translates raw product data into actionable intelligence for SEO and PPC campaigns.
Amazon Keyword Reverse Lookup Engine Use Cases
- Perform a reverse ASIN lookup to extract the keyword profile of any competitor product.
- Conduct keyword gap analysis to find search terms your competitors rank for that you are currently missing.
- Generate optimized backend search terms (249 characters) to improve organic indexing.
- Create high-performance CPC ad keyword lists with suggested bid prices based on competition density.
- Naturally inject high-priority keywords into product titles and bullet points using structured listing formulas.
How Amazon Keyword Reverse Lookup Engine Works
- Input Data Collection: The user provides an ASIN, product title, or category context to initialize the research process.
- Keyword Extraction: The engine analyzes the listing text and competitor data to generate keyword permutations, identifying brand vs. generic terms.
- Tier Classification: Extracted keywords are categorized into Tiers (Head Terms, Core, Long-tail, and Niche) based on search volume and competition.
- Competitive Scoring: Each keyword is evaluated through a priority matrix considering search volume, relevance, competition, and purchase intent.
- Optimization Output: The system generates a master keyword table, backend search strings, and structured PPC campaign recommendations.
Amazon Keyword Reverse Lookup Engine Setup
To start using the Amazon Keyword Reverse Lookup tool within your environment, ensure you have the necessary CLI access. You can initialize research and save your data directly to your workspace using the following commands:
# Extract keyword profile for a specific ASIN
reverse [ASIN]
# Save your keyword research results to your local workspace
keyword save [PRODUCT_NAME]
Amazon Keyword Reverse Lookup Engine Data Schema & Taxonomy
The skill organizes research data within a local ~/keyword-research/ directory structure for easy access and version control:
| Directory | Content Description |
|---|---|
by-asin/ |
Detailed keyword profiles and metrics for individual ASINs. |
campaigns/ |
PPC keyword lists organized by match type (Exact, Phrase, Broad). |
gaps/ |
Comparison files highlighting missing opportunities vs. competitors. |
backend/ |
Pre-formatted 249-character strings for Amazon backend search terms. |
Amazon Keyword Reverse Lookup Engine Advanced Features
- Bulk Extraction: Support for processing multiple ASINs simultaneously via
reverse bulkto accelerate market research. - Semantic Clustering: Automatically groups large keyword lists by semantic theme for better ad group organization.
- Bid Intelligence: Provides real-time CPC bid suggestions calibrated for specific match types and competition levels.
- Listing Injection Logic: Algorithmic placement of keywords into titles and bullet points to maximize SEO without sacrificing readability.
SKILL.md
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