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content-gap-analysis

Identify and prioritize website content gaps against competitors using SEO export data.

Updated Aug 28, 2026
Search Tags:#content strategy#competitor analysis#seo#keyword analysis#semrush#ahrefs#content gap
One-click install
npx skills add https://github.com/AnderHonorato/Mem-rias-IA---Infinity --skill content-gap-analysis-anderhonorato
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: content-gap-analysis
Source: https://github.com/AnderHonorato/Mem-rias-IA---Infinity/tree/main/Manus/Skills/content-gap-analysis
Command: npx skills add https://github.com/AnderHonorato/Mem-rias-IA---Infinity --skill content-gap-analysis-anderhonorato

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve? Marketing teams struggle to know which content to create or improve to win organic search traffic. This Skill turns raw SEO exports into a prioritized, evidence-backed list of content opportunities instead of an unusable keyword dump. ## Core Features & Use Cases - Gap Detection Across Four Dimensions: Finds topic/keyword gaps, page-level depth gaps, buyer-journey gaps, and quality/freshness gaps by comparing a target domain against competitors. - Deterministic Analysis Scripts: Bundled Python scripts compute cluster momentum, near-winner quick wins (positions 4-15), competitor top-cluster deep-dives, content velocity, and live page teardowns so the math is reproducible. - Report & Workbook Deliverables: Produces a prioritized gap workbook (CSV) plus a concise Markdown report with three mandatory charts, inline citations, and buildable refresh briefs. - Use Case: Given Ahrefs or Semrush exports for your site and two competitors, generate a report showing which topics competitors rank for that you do not, which of your pages are near-winners worth refreshing, and exactly which new pages to build first. ## Quick Start Run a content gap analysis for my site example.com against competitor.com using the attached Semrush exports and produce the prioritized report with charts.

Frequently Asked Questions about content-gap-analysis

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

FAQPage Schema
How do I run a content gap analysis against competitors?▼

Provide a target domain plus 2-4 competitors and keyword exports from Ahrefs or Semrush. The workflow scopes the market, profiles traffic concentration, mines missing and weak keywords, detects near-winner pages, and outputs a prioritized opportunity workbook and report.

What SEO tools work with content gap analysis?▼

The Skill accepts exports from Ahrefs, Semrush, Google Search Console, and GA4 as CSV files. When no tool data exists, it falls back to public SERP sampling, site: queries, and sitemap review with clearly labeled estimates.

Can I do a keyword gap analysis without Ahrefs or Semrush?▼

Yes, a fallback workflow samples 20-60 representative queries in Google, checks coverage with site: searches, and inspects competitor top pages manually. All volumes and difficulty figures are then labeled as directional estimates.

Why does cluster momentum get mislabeled in SEO analysis?▼

Semrush Trends values are per-keyword interest scaled 0-100, not absolute volume, so naive first-vs-last comparisons make every cluster look like it is surging. The cluster_momentum.py script volume-weights the series and compares recent months against the mid-period to isolate true acceleration.

What are near-winner pages in SEO?▼

Near-winner pages are URLs already ranking positions 4-15 for keywords with meaningful search volume. Improving these existing pages with on-page changes is typically the highest-ROI move, and near_winners.py extracts and rolls them up by URL.

What are the limitations of export-based content gap analysis?▼

Third-party traffic and volume figures are estimates, regex-based clustering is approximate, and page counts are directional rather than full crawls. Business value and effort scores default to neutral values and must be adjusted manually by the analyst.

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