42-product-titles

Compare product titles against competitor catalogs using MPN/SKU/GTIN matching.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-product-titles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 42-product-titles
Source: https://github.com/chapter42/SEO-Skills-42/tree/main/skills/42-product-titles
Command: npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-product-titles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rapidfuzz, and includes scripts (resource) components.

What problem does it solve?

This Skill helps ecommerce teams close title-related gaps by comparing their catalog to competitor titles and analyzing SERP-driven patterns to improve click-through and rankings.

Core Features & Use Cases

  • Gap analysis using MPN/SKU/GTIN matching to surface missing keywords.
  • SERP pattern analysis by word position to reveal winning templates.
  • AI-assisted standardization and rewriting to a consistent title format.
  • Use Case: You have 500 SKUs; compare to 3 competitor catalogs and generate a consolidated report to feed your product information management (PIM) and SEO workflows.

Quick Start

Analyze your product CSV against a competitor CSV to generate a JSON output for the PRODUCT-TITLES.md report.

Frequently Asked Questions about 42-product-titles

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare my product titles against competitor catalogs to find missing SEO keywords?

Product title gap analysis compares your catalog against competitor titles using MPN, SKU, or GTIN matching to surface missing keywords. It identifies discrepancies in your titles and outputs structured JSON for automated SEO reporting.

What is SERP pattern analysis for ecommerce product titles?

SERP pattern analysis examines winning competitor product titles by word position to reveal high-performing templates. It helps you understand which title structures rank better and provides standardized templates to improve your click-through rates.

Can I use MPN or GTIN matching to align thousands of SKUs across multiple competitor catalogs?

Yes, MPN, SKU, and GTIN matching scales to align large catalogs across multiple competitors. You can compare 500 or more SKUs against several competitor CSV files to quantify title gaps and consolidate the results into a single report.

How do I standardize inconsistent product title formats across my ecommerce catalog?

AI-assisted standardization rewrites inconsistent product titles into a uniform format based on competitor gap analysis and SERP-pattern insights. It applies winning templates to your catalog and outputs structured JSON for your PIM workflows.

Does this product title optimization workflow require Python dependencies like rapidfuzz?

Yes, the workflow depends on the rapidfuzz Python library to perform fuzzy string matching during MPN, SKU, and GTIN alignment. This dependency is required to accurately compare and match products between your catalog and competitor files.

What is the best way to generate a product title optimization report from CSV catalog data?

The best way is to run gap, SERP-pattern, and standardize analyses on your product CSV against competitor CSV files. This produces structured JSON output that automatically generates a comprehensive PRODUCT-TITLES.md report for your SEO workflows.