serp-analysis

Analyze SERP results to reveal ranking factors, SERP features, and AI overview patterns.

10|1|Updated Dec 16, 2024
One-click install
npx skills add https://github.com/wanghaisheng/cloudflare-workers-d1-r2-expo-turborepo-trpc-workflows-astro-cleark --skill serp-analysis-wanghaisheng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: serp-analysis
Source: https://github.com/wanghaisheng/cloudflare-workers-d1-r2-expo-turborepo-trpc-workflows-astro-cleark/tree/main/ref/seo-geo-claude-skills-main/seo-geo-claude-skills-main/research/serp-analysis
Command: npx skills add https://github.com/wanghaisheng/cloudflare-workers-d1-r2-expo-turborepo-trpc-workflows-astro-cleark --skill serp-analysis-wanghaisheng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill analyzes search engine results pages (SERPs) to reveal ranking factors, SERP features, and AI overview triggers, enabling data-driven content strategy and optimization.

Core Features & Use Cases

  • SERP Composition Analysis: Maps the layout of SERP elements (ads, featured snippets, PAA, Knowledge Panels) for target queries.
  • Ranking Factor Identification: Reveals why top results rank by analyzing page signals, DA/PA, backlinks, and content depth.
  • SERP Feature Mapping: Identifies presence and opportunities for AI Overviews, snippets, PAA, video, image packs, and knowledge panels.
  • AI Overview Analysis: Examines when AI summaries appear and how sources are cited to guide optimization.
  • Intent & Content Strategy: Links SERP signals to user intent and content format recommendations.

Quick Start

Analyze the SERP for a target keyword and generate a structured report of composition, features, and top results.

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 ranking factors for target keywords?

SERP analysis maps layout elements like ads, featured snippets, and AI overviews to identify ranking factors and content depth signals. It requires SERP data access to generate structured top-10 analysis and feature mappings for desktop and mobile search.

How do I optimize content to trigger AI overviews in search results?

Analyzing AI overview patterns reveals when summaries appear and how sources are cited. This SERP feature mapping guides content strategy by linking SERP signals to user intent, helping optimize content format for AI overview triggers.

What is the best way to map SERP composition for competitive keyword research?

SERP composition analysis maps layout elements like PAA, Knowledge Panels, and video packs for target queries. It evaluates page signals, DA/PA, and backlinks to reveal why top results rank, enabling data-driven competitive analysis.

Does this SERP analysis support both desktop and mobile search results?

Yes, this SERP analysis evaluates ranking factors and SERP features across target keywords on both desktop and mobile search. It outputs structured top-10 analysis and integrates with rank-tracker workflows for comprehensive coverage.

Why do I need SERP data access for identifying ranking factor patterns?

SERP data access is required because the analysis extracts top-10 results and page signals like DA/PA and backlinks. Without raw SERP data, the skill cannot map layout elements or link SERP signals to user intent and content format recommendations.