Competitor Content Gap Finder

Use cases

Improving product title completeness Finding missing product attributes and specifications Competitive content gap analysis for e-commerce Bulk product title optimisation

Matches products by SKU/MPN across your catalogue and competitor feeds, then analyses title differences using NLTK stopword filtering and word frequency counting.

Identifies words present in competitor titles but missing from yours, with median title length gap calculation.

Platform

Python script (requires Python 3.x)

Input

Your products CSV with SKU/MPN and titles

Competitor product CSVs

Output

CSV with missing words and competitor comparisons

Features

Exact SKU/MPN matching across multiple competitor files
NLTK English stopword filtering
Word frequency counting (Python Counter)
Median title length gap calculation
Supports wildcard patterns for competitor file loading

How to use

1 Prepare your product CSV with SKU/MPN and title columns
2 Gather competitor product CSVs with the same identifier format
3 Configure column names for the matching key and title fields
4 Run the analysis to match products and extract word gaps
5 Review missing words ranked by frequency across competitors
6 Export results with competitor match counts and sample URLs

Want me to run this for you?

I offer this as a managed service. You get the insights without touching the tool.

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