What competitor data does the analysis include?

It collects ranking position, domain authority signals, content formats, approximate word counts, heading structures, and unique angles for the top 10 search results.

Does this replace traditional SEO tools?

While it provides deep qualitative analysis and structured intelligence using Claude's WebSearch, it is best used in conjunction with SEO tools for high-volume backlink and keyword data.

How does this skill classify search intent?

The skill analyzes SERP signals such as the presence of Wikipedia, knowledge panels, product pages, or review sites to classify intent as Informational, Commercial, Transactional, or Navigational.

Can it help me win Featured Snippets?

Yes, it identifies current featured snippet types (paragraph, list, table) and provides specific optimization strategies, such as word count targets and HTML structure recommendations.

SERP Analysis

Name: SERP Analysis
Author: MadAppGang

byMadAppGang

•

Marketing Automation

Analyzes search engine results pages to identify user intent, map SERP features, and uncover competitive content gaps.

The SERP Analysis skill transforms Claude into a professional SEO strategist by providing a structured framework for evaluating search results. It enables automated classification of search intent—ranging from informational to transactional—and identifies high-value SERP features like featured snippets, 'People Also Ask' boxes, and local packs. By generating detailed competitor matrices and identifying content gaps, this skill helps users develop data-driven content strategies that are optimized for both search engines and user needs.

Key Features

01Automated search intent classification with confidence scoring

02Competitor intelligence gathering for top-ranking domains

03SERP feature identification including snippets, PAA, and knowledge panels

04Content gap analysis to find underserved search opportunities

05Standardized SEO recommendation reports with specific optimization tactics

063 GitHub stars

Use Cases

01Developing a content brief by analyzing the structure and word count of top-ranking competitors

02Identifying featured snippet opportunities to improve click-through rates for existing content

03Analyzing mixed-intent keywords to determine the best content format for a specific search query

Key Features

01Automated search intent classification with confidence scoring

02Competitor intelligence gathering for top-ranking domains

03SERP feature identification including snippets, PAA, and knowledge panels

04Content gap analysis to find underserved search opportunities

05Standardized SEO recommendation reports with specific optimization tactics

063 GitHub stars

Use Cases

01Developing a content brief by analyzing the structure and word count of top-ranking competitors

02Identifying featured snippet opportunities to improve click-through rates for existing content

03Analyzing mixed-intent keywords to determine the best content format for a specific search query