Analyse SERP par mot-clé
/research-serpAnalyse approfondie des résultats de recherche (SERP) pour un mot-clé spécifique afin de comprendre ce que Google attend.
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:
python3 research_serp_analysis.py "your target keyword"This will:
- Fetch top 20 organic results from DataForSEO
- Analyze content patterns in top 10
- Detect content types from titles
- Fetch word counts for each result
- Identify SERP features
- Analyze search intent
- Assess competitive difficulty
- Generate content brief
- 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