seo-content

Cluster ranked keywords into topical groups and calculate a Content Score via DataForSEO Labs API.

141|53|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/zubair-trabzada/dataforseo-claude --skill seo-content-zubair-trabzada
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-content
Source: https://github.com/zubair-trabzada/dataforseo-claude/tree/main/skills/seo-content
Command: npx skills add https://github.com/zubair-trabzada/dataforseo-claude --skill seo-content-zubair-trabzada

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Content teams often struggle to quantify a site's topical authority, understand coverage gaps, and plan data-driven content improvements at scale.

Core Features & Use Cases

  • Cluster a domain's ranked keywords into coherent topical groups.
  • Compute a Content Score (0-100) and surface high-leverage content opportunities.
  • Benchmark against competitors to reveal missing or weak topic areas.

Quick Start

Provide a domain URL to generate a Content Score and a prioritized set of content opportunities.

Frequently Asked Questions about seo-content

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

FAQPage Schema
How do I calculate a content score to measure topical authority for my domain?

You can calculate a content score by clustering a domain's ranked keywords into topical groups and evaluating coverage. This Skill computes a 0-100 score and returns strong, weak, and missing topics to quantify authority.

How do I identify content gaps between my domain and competitors?

To identify content gaps, benchmark your domain against competitors using ranked keyword data. This Skill compares topical coverage to surface missing and weak topic areas where competitors outperform your site.

Do I need a DataForSEO Labs API key to analyze content gaps and topic clusters?

Yes, you need access to the DataForSEO Labs API. The Skill uses provided domain_overview scripts to fetch ranked keywords, competitors, and content gaps required for clustering and scoring.

What is the best way to find high-leverage content opportunities from ranked keywords?

The best way to find high-leverage opportunities is by clustering ranked keywords into topical groups. This Skill analyzes the clusters to prioritize missing or weak topics that offer the greatest content authority improvements.

What data does the topical clustering analysis return for content strategy tasks?

The topical clustering analysis returns a JSON payload containing content_score, strong_topics, weak_topics, missing_topics, and recommendations. This data drives content strategy by highlighting areas needing coverage improvement.