LLM Skills
~/catalogue/recherche de mots-clés//research-serp

Analyse SERP par mot-clé

/research-serp

Analyse approfondie des résultats de recherche (SERP) pour un mot-clé spécifique afin de comprendre ce que Google attend.

TheCraigHewittTheCraigHewitt
7.4k
10 avril 2026
MIT License
// contenu du skill

Research SERP Command

Deep SERP analysis for a specific keyword to understand what Google wants.

Usage

/research-serp "keyword phrase"

What This Command Does

Analyzes the top 10 ranking results for a keyword to provide detailed content requirements:

  • Content type patterns (listicle, how-to, guide, etc.)
  • Average word count and recommended length
  • SERP features present (featured snippet, PAA, video, etc.)
  • Freshness requirements
  • Competitive difficulty
  • Search intent
  • Common content structure

Generates comprehensive content brief for creating or updating content.

Process

Execute SERP analysis for a keyword:

bash
python3 research_serp_analysis.py "your target keyword"

This will:

  1. Fetch top 20 organic results from DataForSEO
  2. Analyze content patterns in top 10
  3. Detect content types from titles
  4. Fetch word counts for each result
  5. Identify SERP features
  6. Analyze search intent
  7. Assess competitive difficulty
  8. Generate content brief
  9. Create report: research/serp-analysis-[keyword].md

Output

The report includes:

Content Requirements

  • Recommended word count (based on top 10 average + 10%)
  • Dominant content type (what format works)
  • Content type distribution

SERP Features

  • Featured snippet opportunity
  • People Also Ask questions
  • Video/image requirements
  • Other SERP features present

Content Brief

  • Target specifications (word count, type, tone)
  • Must-have elements
  • Recommended structure
  • SERP features to target
  • Freshness requirements

Competitive Analysis

  • Domain authority mix
  • Difficulty assessment
  • Timeframe expectations

Action Plan

Step-by-step process from research to publishing

Example Use Cases

Before creating new content:

/research-serp "best project management tools"

Understand: Is this a listicle? How long should it be? What features to include?

Before updating existing content:

/research-serp "how to choose the right software"

Check if SERP patterns have changed, update to match current expectations

Integration

After running /research-serp:

  • Use the content brief to guide writing
  • Use /write [keyword] with insights from SERP analysis
  • Ensure content matches recommended structure and length

Time & Cost

Time: 1-2 minutes per keyword

API Cost: ~$0.02 per keyword (DataForSEO)

Cost: Free for word count (if pages accessible)

When to Run

  • Before creating any new content: Know requirements upfront
  • Before major content updates: Check current SERP expectations
  • When stuck on format: See what type of content ranks
  • For competitive research: Understand difficulty before committing
// source originale publique
TheCraigHewitt/seomachine
/.claude/commands/research-serp.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/research-serp.md" "https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/commands/research-serp.md"
Ensuite dans Claude Code, tapez /research-serp pour l'activer.
open_in_newVoir la source originale
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// informations
Étoiles 7.4k
LicenceMIT License
Mis à jour10 avril 2026
Format.md
AccèsGratuit
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