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serp-analysis

Analyze search engine results pages for composition, ranking factors, and AI-driven snippets.

Updated Apr 10, 2026
Search Tags:#serp-analysis#search-intent#featured-snippet#ai-overview#ranking-factors#serp-features#people-also-ask
One-click install
npx skills add https://github.com/Kosmio/skeleton-test --skill serp-analysis-kosmio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: serp-analysis
Source: https://github.com/Kosmio/skeleton-test/tree/main/.claude/skills/seo/seo-skills/research/serp-analysis
Command: npx skills add https://github.com/Kosmio/skeleton-test --skill serp-analysis-kosmio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Map, interpret, and translate SERP data into actionable strategy by revealing compositions, ranking factors, features, and AI-driven patterns for a given keyword.

Core Features & Use Cases

  • SERP Composition Analysis: Identify the layout and elements appearing on the results page (ads, organic results, PAA, knowledge panels, AI Overview).
  • Ranking Factor Identification: Uncover why top results rank, including authority signals, content length, and freshness.
  • SERP Feature Mapping: Detect featured snippets, PAA, image/video results, local packs, and other features, with optimization guidance.
  • AI Overview Analysis: Analyze when and how an AI-generated overview appears and how to cite sources.
  • Intent & Content Strategy: Infer user intent and recommend content formats and CTAs to compete effectively.
  • Difficulty & Recommendations: Assess SERP difficulty and deliver concrete next steps and milestones.

Quick Start

Analyze the SERP for a keyword to produce a full analysis including composition, features, and actionable recommendations.

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 features to improve my search rankings?▼

SERP feature analysis identifies elements like featured snippets, People Also Ask boxes, and AI overviews on a results page to reveal optimization opportunities. Mapping these features helps target specific layouts and rank above standard organic results.

What is the best way to identify ranking factors from search engine results pages?▼

Identifying ranking factors from SERPs involves analyzing top organic results for authority signals, content length, and freshness. This evidence-backed approach reveals why competitors rank and guides content strategy to match their authority.

Can I optimize content for AI overviews and featured snippets using SERP data?▼

Yes, you can optimize for AI overviews and featured snippets by analyzing how they appear for target queries. SERP data shows which sources are cited and how content is structured, allowing you to format pages to capture these placements.

How do I map search intent to content strategy from a SERP composition?▼

Mapping search intent from SERP composition involves evaluating the mix of informational, navigational, and commercial results. This reveals user expectations, letting you match content formats and CTAs to compete effectively.

Does SERP analysis work for both informational and commercial keywords?▼

Yes, SERP analysis applies to informational, navigational, and commercial intents. It assesses difficulty and delivers actionable recommendations and milestones tailored to the specific query type, ensuring strategy fits the keyword's purpose.

What does a structured SERP analysis report include?▼

A structured SERP analysis report includes page composition, top results analysis, ranking patterns, and a clear next steps handoff. This evidence-backed brief is suitable for memory or research storage to guide SEO strategy.

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