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Serp Analysis

Use when the user asks to "analyze search results", "SERP analysis", "what ranks for", "SERP feature

Rating: 4.1 (44 reviews)
Downloads: 29,045 downloads
Version: 1.0.0

Overview

Use when the user asks to "analyze search results", "SERP analysis", "what ranks for", "SERP features", "why.

Complete Documentation

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SERP Analysis

SEO & GEO Skills Library · 20 skills for SEO + GEO · Install all: npx skills add aaron-he-zhu/seo-geo-claude-skills

Browse all 20 skills

Research · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis

Build · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator

Optimize · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher

Monitor · rank-tracker · backlink-analyzer · performance-reporter · alert-manager

Cross-cutting · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management

This skill analyzes Search Engine Results Pages to reveal what's working for ranking content, which SERP features appear, and what triggers AI-generated answers. Understand the battlefield before creating content.

When to Use This Skill

Before creating content for a target keyword
Understanding why certain pages rank #1
Identifying SERP feature opportunities (featured snippets, PAA)
Analyzing AI Overview/SGE patterns
Evaluating keyword difficulty more accurately
Planning content format based on what ranks
Identifying ranking factors for specific queries

What This Skill Does

SERP Composition Analysis: Maps what appears on the results page
Ranking Factor Identification: Reveals why top results rank
SERP Feature Mapping: Identifies featured snippets, PAA, knowledge panels
AI Overview Analysis: Examines when and how AI answers appear
Intent Signal Detection: Confirms user intent from SERP composition
Content Format Recommendations: Suggests optimal format based on SERP
Difficulty Assessment: Evaluates realistic ranking potential

How to Use

Basic SERP Analysis

text

Analyze the SERP for [keyword]

text

What does it take to rank for [keyword]?

Feature-Specific Analysis

text

Analyze featured snippet opportunities for [keyword list]

text

Which of these keywords trigger AI Overviews? [keyword list]

Competitive SERP Analysis

text

Why does [URL] rank #1 for [keyword]?

Data Sources

See CONNECTORS.md for tool category placeholders.

With ~~SEO tool + ~~search console + ~~AI monitor connected: Automatically fetch SERP snapshots for target keywords, extract ranking page metrics (domain authority, backlinks, content length), pull SERP feature data, and check AI Overview presence using ~~AI monitor. Historical SERP change data and mobile vs. desktop variations can be retrieved automatically.

With manual data only: Ask the user to provide:

Target keyword(s) to analyze
SERP screenshots or detailed descriptions of search results
URLs of top 10 ranking pages
Search location and device type (mobile/desktop)
Any observations about SERP features (featured snippets, PAA, AI Overviews)

Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.

Instructions

When a user requests SERP analysis:

Understand the Query

Clarify if needed:

Target keyword(s) to analyze
Search location/language
Device type (mobile/desktop)
Specific questions about the SERP
Map SERP Composition

Document all elements appearing on the results page: AI Overview, ads, featured snippet, organic results, PAA, knowledge panel, image pack, video results, local pack, shopping results, news results, sitelinks, and related searches.

Analyze Top Ranking Pages

For each of the top 10 results, document: URL, domain, domain authority, content type, word count, publish/update dates, on-page factors (title, meta description, H1, URL structure), content structure (headings, media, tables, FAQ), estimated metrics (backlinks, referring domains), and why it ranks.

Identify Ranking Patterns

Analyze common characteristics across top 5 results: word count, domain authority, backlinks, content freshness, HTTPS, mobile optimization. Document content format distribution, domain type distribution, and key success factors.

Analyze SERP Features

For each present SERP feature: analyze the current holder, content format, and strategy to win. Cover Featured Snippet (type, content, winning strategy), PAA (questions, current answers, optimization approach), and AI Overview (sources cited, content patterns, citation strategy).

Determine Search Intent

Confirm primary intent from SERP composition. Document evidence, intent breakdown percentages, and content format implications (format, tone, CTA).

Calculate True Difficulty

Score overall difficulty (1-100) based on: top 10 domain authority, page authority, backlinks required, content quality bar, and SERP stability. Provide realistic assessments for new, growing, and established sites, plus easier alternatives.

Generate Recommendations

Produce a summary with: Key Findings, Content Requirements to Rank (minimum requirements + differentiators), SERP Feature Strategy, Recommended Content Outline, and Next Steps.

> Reference: See references/analysis-templates.md for detailed templates for each step.

Validation Checkpoints

Input Validation

[ ] Target keyword(s) clearly specified
[ ] Search location and device type confirmed
[ ] SERP data is current (date confirmed)
[ ] Top 10 ranking URLs identified or provided

Output Validation

[ ] Every recommendation cites specific data points (not generic advice)
[ ] SERP composition mapped with all features documented
[ ] Ranking factors identified from actual top 10 analysis (not assumptions)
[ ] Content requirements based on observed patterns in current SERP
[ ] Source of each data point clearly stated (~~SEO tool data, ~~AI monitor data, user-provided, or manual observation)

Example

Reference: See references/example-report.md for a complete example analyzing the SERP for "how to start a podcast".

Advanced Analysis

Multi-Keyword SERP Comparison

text

Compare SERPs for [keyword 1], [keyword 2], [keyword 3]

Historical SERP Changes

text

How has the SERP for [keyword] changed over time?

Local SERP Variations

text

Compare SERP for [keyword] in [location 1] vs [location 2]

Mobile vs Desktop SERP

text

Analyze mobile vs desktop SERP differences for [keyword]

Tips for Success

Always check SERP before writing - Don't assume, verify
Match content format to SERP - If lists rank, write lists
Identify SERP feature opportunities - Lower competition than #1
Note SERP volatility - Stable SERPs are harder to break into
Study the outliers - Why does a weaker site rank? Opportunity!
Consider AI Overview optimization - Growing importance

Reference Materials

Analysis Templates — Detailed templates for each analysis step (SERP composition, top results, ranking patterns, features, intent, difficulty, recommendations)
SERP Feature Taxonomy — Complete taxonomy of SERP features with trigger conditions, AI overview framework, intent signals, and volatility assessment
Example Report — Complete example analyzing the SERP for "how to start a podcast"

Related Skills

keyword-research — Find keywords to analyze
competitor-analysis — Deep dive on ranking competitors
on-page-seo-auditor — Optimize based on findings
geo-content-optimizer — Optimize for AI citations
meta-tags-optimizer — Optimize SERP appearance with meta tags
rank-tracker — Track keyword position changes in SERPs
performance-reporter — Track SERP visibility metrics over time

Installation

Terminal bash


openclaw install serp-analysis

Copied!

💻Code Examples

Why does [URL] rank #1 for [keyword]?

why-does-url-rank-1-for-keyword.txt

## Data Sources

> See [CONNECTORS.md](../../CONNECTORS.md) for tool category placeholders.

**With ~~SEO tool + ~~search console + ~~AI monitor connected:**
Automatically fetch SERP snapshots for target keywords, extract ranking page metrics (domain authority, backlinks, content length), pull SERP feature data, and check AI Overview presence using ~~AI monitor. Historical SERP change data and mobile vs. desktop variations can be retrieved automatically.

**With manual data only:**
Ask the user to provide:
1. Target keyword(s) to analyze
2. SERP screenshots or detailed descriptions of search results
3. URLs of top 10 ranking pages
4. Search location and device type (mobile/desktop)
5. Any observations about SERP features (featured snippets, PAA, AI Overviews)

Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.

## Instructions

When a user requests SERP analysis:

1. **Understand the Query**

   Clarify if needed:
   - Target keyword(s) to analyze
   - Search location/language
   - Device type (mobile/desktop)
   - Specific questions about the SERP

2. **Map SERP Composition**

   Document all elements appearing on the results page: AI Overview, ads, featured snippet, organic results, PAA, knowledge panel, image pack, video results, local pack, shopping results, news results, sitelinks, and related searches.

3. **Analyze Top Ranking Pages**

   For each of the top 10 results, document: URL, domain, domain authority, content type, word count, publish/update dates, on-page factors (title, meta description, H1, URL structure), content structure (headings, media, tables, FAQ), estimated metrics (backlinks, referring domains), and why it ranks.

4. **Identify Ranking Patterns**

   Analyze common characteristics across top 5 results: word count, domain authority, backlinks, content freshness, HTTPS, mobile optimization. Document content format distribution, domain type distribution, and key success factors.

5. **Analyze SERP Features**

   For each present SERP feature: analyze the current holder, content format, and strategy to win. Cover Featured Snippet (type, content, winning strategy), PAA (questions, current answers, optimization approach), and AI Overview (sources cited, content patterns, citation strategy).

6. **Determine Search Intent**

   Confirm primary intent from SERP composition. Document evidence, intent breakdown percentages, and content format implications (format, tone, CTA).

7. **Calculate True Difficulty**

   Score overall difficulty (1-100) based on: top 10 domain authority, page authority, backlinks required, content quality bar, and SERP stability. Provide realistic assessments for new, growing, and established sites, plus easier alternatives.

8. **Generate Recommendations**

   Produce a summary with: Key Findings, Content Requirements to Rank (minimum requirements + differentiators), SERP Feature Strategy, Recommended Content Outline, and Next Steps.

   > **Reference**: See [references/analysis-templates.md](./references/analysis-templates.md) for detailed templates for each step.

## Validation Checkpoints

### Input Validation
- [ ] Target keyword(s) clearly specified
- [ ] Search location and device type confirmed
- [ ] SERP data is current (date confirmed)
- [ ] Top 10 ranking URLs identified or provided

### Output Validation
- [ ] Every recommendation cites specific data points (not generic advice)
- [ ] SERP composition mapped with all features documented
- [ ] Ranking factors identified from actual top 10 analysis (not assumptions)
- [ ] Content requirements based on observed patterns in current SERP
- [ ] Source of each data point clearly stated (~~SEO tool data, ~~AI monitor data, user-provided, or manual observation)

## Example

> **Reference**: See [references/example-report.md](./references/example-report.md) for a complete example analyzing the SERP for "how to start a podcast".

## Advanced Analysis

### Multi-Keyword SERP Comparison