seo-pro_skill

This skill helps you optimize content for topical authority and SGE visibility by applying entity-based SEO, E-E-A-T, and structured data best practices.

Python

7

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill yuniorglez/gemini-elite-core --skill seo-pro

SEO-REVIEW.md36.4 KB
SKILL.md3.4 KB

Overview

This skill turns senior-level SEO strategy into repeatable, tactical guidance for 2026 search environments. It focuses on SGE optimization, E-E-A-T compliance, and semantic entity architecture to drive topical authority and AI-visible answers. The aim is measurable gains in high-quality organic impressions and AI-generated summary placements.

How this skill works

The skill inspects content and site architecture to align pages with intent, entity mapping, and performance benchmarks. It recommends structural changes—headings, JSON-LD schema, data-rich assets—and editing patterns that make content both human-friendly and machine-synthesizable. Technical checks include Core Web Vitals, resource loading, and schema completeness for entity extraction.

When to use it

Launching a pillar-and-cluster content program to dominate a topic
Optimizing pages for inclusion in AI-generated search summaries (SGE)
Auditing site trust signals and author credentials for E-E-A-T
Rearchitecting content to expose semantic entities and relationships
Improving Core Web Vitals and page-level performance for ranking resilience

Best practices

Prioritize a few authoritative long-form pages over many thin posts
Map explicit entities and relationships with JSON-LD for each pillar
Answer high-intent queries directly in H2 sections to aid SGE extraction
Include original data, first-hand experience, and verifiable credentials
Design for performance: lazy-load assets, preconnect critical origins, and optimize LCP

Example use cases

Create a 3,000+ word pillar guide with embedded datasets and entity schema to outrank fragmented resources
Convert product comparison pages into intent-aligned, structured answers that appear in AI overviews
Run a sitewide E-E-A-T audit to add author bios, citations, and SME reviews across critical pages
Build semantic clusters linking how-to content, research studies, and glossary entries for stronger entity authority
Fix Core Web Vitals regressions that are causing drops in AI summary eligibility

FAQ

By enforcing direct-answer patterns, clear heading hierarchies, and explicit entity markup, content becomes easier for models to synthesize and cite in AI overviews.

What constitutes strong E-E-A-T under this approach?

First-hand experience, verifiable author credentials, original data or research, and authoritative citations that collectively demonstrate expertise, experience, authority, and trustworthiness.