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serp-analysis

Analyze search engine results pages for ranking patterns, features, and intent.

Updated Jun 4, 2026
Search Tags:#seo#search intent#serp analysis#ranking factors#serp features#difficulty assessment
One-click install
npx skills add https://github.com/REVREBEL/seo-api --skill serp-analysis-revrebel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: serp-analysis
Source: https://github.com/REVREBEL/seo-api/tree/main/review/research/serp-analysis
Command: npx skills add https://github.com/REVREBEL/seo-api --skill serp-analysis-revrebel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides in-depth analysis of search engine results pages (SERPs), helping users understand ranking patterns, feature opportunities, and search intent for a given query.

Core Features & Use Cases

  • SERP Structure Analysis: Maps the structure of the SERP, including AI Overviews, ads, snippets, organic results, and more.
  • Top Ranking Page Analysis: Examines the top ranking pages for a query, capturing authority, format, freshness, and on-page factors.
  • Feature Opportunity Identification: Reviews current holders and winning formats for snippets, PAA, AI Overviews, and other visible modules.
  • Search Intent Determination: Confirms dominant intent with evidence from the live SERP.
  • Difficulty Assessment: Calculates True Difficulty score using weighted inputs per the template.
  • Recommendation Generation: Summarizes Key Findings, minimum Content Requirements to Rank, SERP Feature Strategy, a Recommended Content Outline, and Next Steps.

Quick Start

Analyze the SERP for [keyword]

Frequently Asked Questions about serp-analysis

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

FAQPage Schema
How do I analyze SERP ranking patterns and feature opportunities for a target keyword?▼

SERP analysis evaluates search engine results pages by mapping structure, examining top ranking pages for authority and format, and identifying visible modules to reveal ranking patterns and feature opportunities. It calculates difficulty and generates content recommendations.

What is search intent analysis and how does it work with SERP features?▼

Search intent analysis confirms the dominant user goal for a query by extracting evidence directly from the live SERP. It works with SERP features by reviewing current holders and winning formats for snippets, PAA, and AI Overviews.

Can I assess keyword difficulty using top ranking page authority and on-page factors?▼

Yes, keyword difficulty assessment calculates a True Difficulty score using weighted inputs. It examines top ranking pages for authority, format, freshness, and on-page factors to provide an accurate evaluation of ranking competition.

How do I find SERP feature opportunities like AI Overviews and featured snippets?▼

Finding SERP feature opportunities involves mapping the search results page structure and reviewing current holders for snippets, PAA, and AI Overviews. The analysis identifies winning formats and generates a specific SERP feature strategy.

What's the best way to outline content requirements to rank based on SERP analysis?▼

The best way to outline content requirements is to analyze top ranking pages and summarize minimum Content Requirements to Rank. The SERP analysis generates a recommended content outline and next steps based on identified feature strategies.

Why does my SERP analysis need to account for AI Overviews and search result modules?▼

SERP analysis must account for AI Overviews and modules because they alter the page structure and capture clicks. Mapping these features identifies winning formats and informs the SERP feature strategy needed to compete effectively.

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