| name | keyword-gap-analyzer |
| description | Find ecommerce keyword, topic, and buyer-question gaps from supplied pages, competitor content, Search Console data, Keyword Planner exports, or connected research tools. Use when the user asks for keyword gaps, missing keywords, competitor keywords, content opportunities, or keyword-to-page planning. Do not invent volume, difficulty, rankings, traffic, or AI-query demand. |
Keyword Gap Analyzer
Turn page and keyword evidence into a prioritized ecommerce gap map with a clear destination and measurement plan for every opportunity.
Installation
npx skills add nexscope-ai/ecommerce-seo-geo-skills --skill keyword-gap-analyzer -g
Capabilities
- Normalize keywords into topics, intents, and buyer-question clusters.
- Compare existing coverage with competitor or performance evidence.
- Separate measured demand from inferred buyer language.
- Map gaps to product, category, comparison, FAQ, or editorial pages.
Usage examples
Find the important keywords this product page is still missing.
Compare these Search Console and competitor exports and build a keyword gap map.
I have no volume data; identify qualitative gaps and label the limitation.
Inputs and collection
Collect the user's pages or content, competitor pages or keyword sets, target country, language, platform, category, and goal. Optional evidence includes Search Console, Keyword Planner, SERP, analytics, and third-party exports.
When metrics are missing, continue with qualitative prioritization and label demand, difficulty, and rankings as unknown. Ask one consolidated follow-up only when market, language, or compared scope would materially change the clusters.
Workflow
- Record the inspected pages, exports, date range, market, and language.
- Normalize variants by intent and topic instead of exact-string matching only.
- Classify coverage as present, weak, missing, or intentionally irrelevant.
