Can this skill help identify poor quality AI-generated content?

Yes, it flags 'hollow' signals like generic phrasing, lack of original insight, and hedging language that often characterize low-effort AI content.

How does the E-E-A-T scoring system work?

The skill assigns up to 25 points each for Experience, Expertise, Authoritativeness, and Trustworthiness based on specific signals like original research, author credentials, and transparent contact info.

What is the primary output of this skill?

It generates a GEO-CONTENT-ANALYSIS.md file containing scores, metric evaluations, and actionable recommendations for improving content citability.

What is GEO and why does this skill focus on it?

GEO stands for Generative Engine Optimization. This skill focuses on it because AI search platforms evaluate content quality based on E-E-A-T signals before deciding whether to cite a source in their answers.

GEO Content & E-E-A-T Evaluator

Name: GEO Content & E-E-A-T Evaluator
Author: lev-os

bylev-os

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Marketing Automation

Evaluates web content for E-E-A-T signals and structural quality to maximize citability by AI search engines.

This skill provides a comprehensive framework for Generative Engine Optimization (GEO) by assessing content through the lens of Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). It analyzes web pages using a standardized 100-point scoring system to determine if content is structured for AI extraction and deserves to be cited by LLMs. By identifying specific signals—such as original research, author credentials, and paragraph-level clarity—it generates detailed analysis reports that help developers and marketers improve their visibility in AI-driven search results.

Key Features

01Detailed paragraph and heading structure analysis for optimal AI parsing

02Readability and word count benchmarking tailored to specific page types

03100-point E-E-A-T scoring framework for comprehensive quality assessment

04Detection of low-quality AI content signals and filler text

051 GitHub stars

06Content freshness and evergreen signal evaluation

Use Cases

01Ensuring new articles meet the latest 2025 search quality guidelines before publication

02Benchmarking competitor content to identify gaps in topical authority and expertise

03Auditing website content to improve visibility in AI search platforms like Claude and Perplexity

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents geo-content

For use in Claude.ai and ChatGPT