Diagnose SERP-driven SXO gaps and generate a wireframe plan in SXO-REPORT.md.
npx skills add https://github.com/seranking/seo-skills --skill seo-sxo-seranking
Please help me install this Agent Skill. Skill: seo-sxo Source: https://github.com/seranking/seo-skills/tree/main/skills/seo-sxo Command: npx skills add https://github.com/seranking/seo-skills --skill seo-sxo-seranking
Diagnoses why a page fails to rank by reading the SERP, inferring the page type Google rewards for the target keyword, scoring the candidate page across multiple personas, and recommending a winning wireframe.
Trigger the seo-sxo skill with a target URL and keyword, then review the SXO-REPORT.md to begin wireframing a winning page.
High-intent search queries and answers about installing and using this skill.
Diagnose SERP ranking gaps by analyzing top-10 results to identify the dominant page-type pattern Google rewards, then compare it against your candidate page to pinpoint mismatches. This reveals whether your content structure aligns with what search engines currently favor for your target keyword.
Persona scoring evaluates your candidate page across four distinct user personas—Skimmer, Researcher, Buyer, and Validator—to quantify overall SXO strength. This method highlights specific user experience and content gaps that prevent your page from fully satisfying varied search intents.
A SERP-driven wireframe recommendation provides a targeted structural plan for your page based on the dominant page-type patterns found in top-ranking results. It generates a remedial blueprint delivered in an SXO-REPORT.md file to help you build a winning page layout.
Yes, performing an SXO gap analysis requires access to SE Ranking MCP endpoints like DATA_getSerpResults and DATA_getAiOverview to retrieve real SERP data. It also uses WebFetch and optional Firecrawl integration to gather page signals from top-ranking winners.
Yes, by reading the top SERP results to infer the dominant page type Google rewards, the analysis identifies when your page type mismatches the expected pattern. It then generates a remedial wireframe plan to realign your content structure with search engine preferences.
Align content by integrating SERP data, AI Overview context, and live page signals from top-ranking competitors to ground your optimization strategy. This approach ensures your wireframe recommendations reflect real-world search patterns and AI-driven content expectations.
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