seo-sxo

Diagnose search ranking failures by analyzing SERP composition and page-type mismatches.

Updated Feb 2, 2026
One-click install
npx skills add https://github.com/nishchaydev/emitra --skill seo-sxo-nishchaydev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-sxo
Source: https://github.com/nishchaydev/emitra/tree/main/.agent/SEO%20SKILL/claude-seo-main/skills/seo-sxo
Command: npx skills add https://github.com/nishchaydev/emitra --skill seo-sxo-nishchaydev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you identify why a page fails to rank by detecting when the page type and content experience don’t match what Google is rewarding for a specific keyword.

Core Features & Use Cases

  • SERP backwards analysis: Compares the target URL against the actual top-ranking SERP composition (page types, features, schema, media signals) to find misalignment.
  • Page-type mismatch detection: Classifies both the target page and SERP results using a shared taxonomy and flags severity when types don’t match.
  • Persona-based gap scoring: Derives user stories from SERP signals (PAA, ads, related searches, snippet formats) and scores how well the page serves multiple personas, then recommends priority fixes.

Quick Start

Use this Skill to run a full Search Experience Optimization analysis for a page and keyword by asking: "Run /seo sxo https://example.com my keyword".

Frequently Asked Questions about seo-sxo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
Why does my page fail to rank despite good keyword optimization?

SERP backwards analysis diagnoses search ranking failures by comparing your target URL against the actual top-ranking SERP composition to find page type and experience mismatches for a specific keyword.

How do I analyze SERP intent to fix search ranking drops?

Run a Search Experience Optimization (SXO) analysis to classify both your target page and top-ranking SERP results using a shared taxonomy, which flags severity when page types don't match. This process derives user stories from SERP signals to recommend priority fixes.

What is SERP backwards analysis for SEO audits?

SERP backwards analysis is an SEO audit technique that examines top-ranking search results, including page types, features, schema, and media signals. It reverse-engineers Google's preferred content experience to identify why your target URL is misaligned for a specific keyword.

How do I detect page type mismatch for a target keyword?

Detect page type mismatch by classifying your target URL and the top-ranking SERP results using a shared taxonomy. This structured comparison flags the severity of misalignment when your page format doesn't match the rewarded content experience.

Can I derive user stories and persona gaps from SERP signals?

Yes, persona-based gap scoring derives user stories by analyzing SERP signals like People Also Ask questions, ads, related searches, and snippet formats. It evaluates how well your page serves multiple personas to generate prioritized content recommendations.