seo-content-research

Name: seo-content-research
Availability: InStock
Author: prince3626ezechiel-lang

Automate SEO keyword discovery and SERP analysis for international markets.

Updated Jul 5, 2026

Search Tags:#content strategy #keyword research #seo #international marketing #b2b seo

Ready to run

npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill seo-content-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: seo-content-research
Source: https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir/tree/main/skills/seo-content-research
Command: npx skills add https://github.com/prince3626ezechiel-lang/ivoire-monade-palantir --skill seo-content-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill pack automates the process of SEO content research for international markets, helping users discover relevant keywords, analyze SERP competition, and generate EEAT-aligned content briefs.

Core Features & Use Cases

Keyword Discovery: Multi-source keyword hunting using DuckDuckGo, Bing, and Jina Reader.
SERP Competition Analysis: Market-by-market competitive landscape analysis.
Content Brief Generation: EEAT-aligned content briefs with H2 structure and title suggestions.
Use Case: A Chinese factory looking to expand into international markets can use this Skill to research keywords for target countries, analyze competitors, and generate content briefs for SEO-friendly content creation.

Quick Start

Run the 'keyword-finder.py' tool to discover keywords for your product in multiple countries.

Frequently Asked Questions about seo-content-research

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

FAQPage Schema

How do I automate keyword research for international SEO without paid API keys?▼

Automate international SEO keyword research by running the keyword-finder.py script with Python 3.8+, which uses DuckDuckGo, Bing, and Jina Reader to discover relevant keywords across target countries without requiring any API keys.

What is SERP competition analysis and how does it help with B2B SEO content strategy?▼

SERP competition analysis evaluates the market-by-market competitive landscape for target keywords. It helps your B2B SEO content strategy by identifying competitor weaknesses and structuring EEAT-aligned content briefs to outrank them in international markets.

How do I generate EEAT-aligned content briefs for multiple target countries?▼

Generate EEAT-aligned content briefs by analyzing SERP competition data from Bing and DuckDuckGo. The process outputs structured H2 hierarchies and title suggestions tailored for international SEO expansion into your target countries.

Does this SEO content research tool require Python or external dependencies to run?▼

Yes, the SEO content research tool requires Python 3.8+ to execute its scripts. However, it operates entirely without external API keys or dependencies, relying on built-in scripts and local assets for multi-source keyword hunting.

What's the best way to analyze competitors for international marketing content?▼

The best way to analyze international marketing competitors is using multi-source SERP analysis. By querying Bing and DuckDuckGo across target regions, the tool maps the competitive landscape and generates actionable EEAT-aligned content briefs.