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serp-analysis

Analyze SERP data to identify ranking factors, features, and AI overview triggers.

Updated Aug 27, 2026
Search Tags:#seo#rankings#serp-analysis#paa#ai-overview#serp-features#knowledge-panel
One-click install
npx skills add https://github.com/Tvshreyas/DISTILL --skill serp-analysis-tvshreyas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: serp-analysis
Source: https://github.com/Tvshreyas/DISTILL/tree/main/.claude/skills/research/serp-analysis
Command: npx skills add https://github.com/Tvshreyas/DISTILL --skill serp-analysis-tvshreyas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SERP-analysis analyzes Search Engine Results Pages to reveal what's working for rankings, which SERP features appear, and how AI-generated overviews are triggered, helping you craft data-informed content strategies.

Core Features & Use Cases

  • SERP Composition Analysis: Map what appears on the results page (AI Overview, ads, organic results, PAA, knowledge panel, etc.)
  • Ranking Factor Identification: Uncover why top results rank for a given keyword, including factors like content depth, backlinks, and optimization signals.
  • SERP Feature Mapping & AI Overview: Identify featured snippets, PAA questions, and AI Overview patterns to inform content format and citations.
  • Use Cases: Before content creation, optimize for SERP features, compare competing pages, and track changes over time.

Quick Start

Enter a target keyword and location and run a SERP scan to surface the current composition and top results for analysis.

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 and AI overviews for a target keyword?▼

By scanning the search engine results page, you can map feature presence like AI overviews and PAA, identify why top 10 results rank, and calculate keyword difficulty to inform data-driven content optimization strategies.

What is SERP composition analysis and how does it improve SEO rankings?▼

SERP composition analysis maps exactly what appears on the results page, including AI overviews, ads, organic results, and knowledge panels. It reveals ranking factors and AI overview triggers to help you craft data-informed content strategies.

How do I optimize content to trigger AI overviews and featured snippets?▼

To optimize for AI overviews, analyze SERP data to identify content patterns, citation formats, and structural signals that trigger AI-generated summaries. Mapping these patterns before content creation helps format your page for feature inclusion.

Can I calculate keyword difficulty by analyzing the current top 10 search results?▼

Yes, SERP analysis calculates keyword difficulty by evaluating the top 10 organic results for a given keyword and location. It documents ranking factors like content depth and backlinks to provide actionable optimization recommendations.

What data sources do I need to run a SERP scan for a specific location?▼

You need a target keyword and location to run a SERP scan. The analysis processes current search engine results page data, mapping feature presence and top results while clearly citing all data sources used for the evaluation.

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