Skills Agentes

Geo Content

Evaluación de la calidad del contenido y de E-E-A-T para la citabilidad en IA: evalúa experiencia, expertise, autoridad, confianza y estructura del contenido.

Solicitareadgrepglobbashwebfetchwrite
Estrellas
10.7k

en todo el repo

Actividad
31

0–100, la ruta de este skill

Actualizado
hace 5 meses

último commit aquí

Commits
0

últimos 90 días

Contexto
4k tok

38 tok en reposo

Paquete
1 archivo

16 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-content --agent claude-code

Se instala solo en este repositorio.

Este skill runs shell commands, writes to your files, makes network requests.

Qué hace

  • Evalúa señales E-E-A-T (Experiencia, Expertise, Autoridad y Confianza) en el contenido para determinar si las plataformas de IA lo citarán.
  • Puntúa el contenido sobre 100: 25 puntos por dimensión E-E-A-T más un modificador de autoridad temática de +10 a −5.
  • Analiza la estructura del contenido (longitud, legibilidad, encabezados, enlaces internos) para comprobar si la IA puede extraerlo fácilmente.
  • Detecta patrones de contenido IA de baja calidad, problemas de frescura y lagunas de cobertura temática frente a la competencia.
  • Genera un informe GEO-CONTENT-ANALYSIS.md con hallazgos detallados, puntuación y recomendaciones de mejora.

Úsalo cuando

  • Cuando quieras saber si el contenido de tu web será citado por los buscadores con IA y qué señales le faltan.
  • Al auditar E-E-A-T de páginas clave como la home, entradas de blog o páginas de producto y servicio.
  • Cuando necesites medir la autoridad temática del sitio y detectar huecos de contenido frente a competidores.
  • Antes de rediseñar o reescribir contenido, para priorizar mejoras con más impacto en la citabilidad.

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Analiza las señales E-E-A-T de esta página y dime si es probable que la citen las IA.
    • Genera un GEO-CONTENT-ANALYSIS.md para mi dominio y pásame la puntuación final.
    • ¿Qué le falta a mi contenido para que plataformas como ChatGPT o Google AI Overview lo citen?
    • Audita la calidad del contenido de mi blog y propón mejoras concretas.
    • Evalúa la autoridad temática de mi sitio frente a la competencia.

    SKILL.md

    En inglés

    GEO Content Quality & E-E-A-T Assessment

    Purpose

    AI search platforms do not just find content — they evaluate whether content deserves to be cited. The primary framework for this evaluation is E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), which per Google's December 2025 Quality Rater Guidelines update now applies to ALL competitive queries, not just YMYL (Your Money Your Life) topics. Content that scores high on E-E-A-T is dramatically more likely to be cited by AI platforms.

    This skill evaluates content through two lenses:

    1. E-E-A-T signals — does the content demonstrate real expertise and trust?
    2. AI citability — is the content structured so AI platforms can extract and cite specific claims?

    How to Use This Skill

    1. Fetch the target page(s) — homepage, key blog posts, service/product pages
    2. Evaluate E-E-A-T across the 4 dimensions (25% each)
    3. Assess content quality metrics (structure, readability, depth)
    4. Check for AI content quality signals
    5. Evaluate topical authority across the site
    6. Score and generate GEO-CONTENT-ANALYSIS.md

    E-E-A-T Framework (100 points total)

    Experience — 25 points

    First-hand knowledge and direct involvement with the topic. AI platforms increasingly distinguish between content that reports on a topic and content from someone who has DONE it.

    Signals to evaluate:

    Signal Points How to Score
    First-person accounts ("I tested...", "We implemented...") 5 5 if present and specific, 3 if generic, 0 if absent
    Original research or data not available elsewhere 5 5 if original data, 3 if references original work, 0 if none
    Case studies with specific results 4 4 if detailed with numbers, 2 if general, 0 if none
    Screenshots, photos, or evidence of direct use 3 3 if authentic evidence, 1 if stock/generic, 0 if none
    Specific examples from personal experience 4 4 if specific and unique, 2 if somewhat specific, 0 if generic
    Demonstrations of process (not just outcome) 4 4 if step-by-step from experience, 2 if partial, 0 if none

    What to flag as weak Experience:

    • Content that only summarizes what other sources say without adding new perspective
    • Generic advice that could apply to any situation ("It depends on your needs")
    • No mention of actual usage, testing, or direct involvement
    • Hedging language that suggests lack of direct knowledge ("reportedly", "supposedly", "some say")

    Expertise — 25 points

    Demonstrated knowledge depth and professional competence in the subject matter.

    Signals to evaluate:

    Signal Points How to Score
    Author credentials visible (bio, degrees, certifications) 5 5 if full credentials, 3 if basic bio, 0 if no author
    Technical depth appropriate to topic 5 5 if thorough technical treatment, 3 if adequate, 0 if superficial
    Methodology explanation (how conclusions were reached) 4 4 if clear methodology, 2 if some explanation, 0 if none
    Data-backed claims (statistics, research citations) 4 4 if well-sourced, 2 if some data, 0 if unsupported claims
    Industry-specific terminology used correctly 3 3 if accurate specialized language, 1 if basic, 0 if errors
    Author page with detailed professional background 4 4 if dedicated author page, 2 if brief bio, 0 if none

    What to flag as weak Expertise:

    • Claims without supporting evidence or sources
    • Surface-level coverage of complex topics
    • Misuse of technical terminology
    • No visible author or author without relevant credentials
    • Content that is broad and generic rather than deep and specific

    Authoritativeness — 25 points

    Recognition by others as a credible source on the topic.

    Signals to evaluate:

    Signal Points How to Score
    Inbound citations from authoritative sources 5 5 if cited by major sources, 3 if some citations, 0 if none
    Author quoted or cited in press/media 4 4 if media mentions, 2 if industry mentions, 0 if none
    Industry awards or recognition mentioned 3 3 if relevant awards, 1 if tangential, 0 if none
    Speaker credentials (conferences, events) 3 3 if listed, 0 if none
    Published in peer-reviewed or respected outlets 4 4 if tier-1 publications, 2 if industry outlets, 0 if none
    Comprehensive topic coverage (topical authority) 3 3 if site covers topic thoroughly, 1 if some coverage, 0 if isolated
    Brand mentioned on Wikipedia or authoritative references 3 3 if Wikipedia, 2 if other encyclopedic refs, 0 if none

    What to flag as weak Authoritativeness:

    • Single-topic site with no depth of coverage
    • No external validation of expertise claims
    • No backlinks from authoritative sources
    • Claims of authority without evidence (self-proclaimed "expert")

    Trustworthiness — 25 points

    Signals that the content and its publisher are reliable and transparent.

    Signals to evaluate:

    Signal Points How to Score
    Contact information visible (address, phone, email) 4 4 if full contact info, 2 if email only, 0 if none
    Privacy policy present and linked 2 2 if present, 0 if absent
    Terms of service present 1 1 if present, 0 if absent
    HTTPS with valid certificate 2 2 if valid HTTPS, 0 if not
    Editorial standards or corrections policy 3 3 if documented, 1 if implicit, 0 if none
    Transparent about business model and conflicts 3 3 if clear disclosures, 1 if some, 0 if none
    Reviews and testimonials from real customers 3 3 if verified reviews, 1 if testimonials, 0 if none
    Accurate claims (no misinformation detected) 4 4 if all claims accurate, 2 if mostly accurate, 0 if errors found
    Clear affiliate/sponsorship disclosures 3 3 if properly disclosed, 0 if undisclosed or absent

    What to flag as weak Trustworthiness:

    • No contact information or physical address
    • Missing privacy policy or terms
    • Undisclosed affiliate links or sponsored content
    • Claims that are verifiably false or misleading
    • No way to contact the publisher for corrections

    Content Quality Metrics

    Word Count Benchmarks

    These are floors, not targets. More words does not mean better content. The benchmark is the minimum length to adequately cover a topic for AI citability.

    Page Type Minimum Words Ideal Range Notes
    Homepage 500 500-1,500 Clear value proposition, not a wall of text
    Blog post 1,500 1,500-3,000 Thorough but focused
    Pillar content / Ultimate guide 2,000 2,500-5,000 Comprehensive topic coverage
    Product page 300 500-1,500 Descriptions, specs, use cases
    Service page 500 800-2,000 What, how, why, for whom
    About page 300 500-1,000 Company/person story and credentials
    FAQ page 500 1,000-2,500 Thorough answers, not one-liners

    Readability Assessment

    • Target Flesch Reading Ease: 60-70 (8th-9th grade level)
    • This is NOT a direct ranking factor but affects citability — AI platforms prefer content that is clear and unambiguous
    • Overly academic writing (score < 30) reduces citability for general queries
    • Overly simple writing (score > 80) may lack the depth needed for expertise signals

    How to estimate without a tool:

    • Average sentence length: 15-20 words is ideal
    • Average paragraph length: 2-4 sentences
    • Presence of jargon: should be defined when first used
    • Passive voice: < 15% of sentences

    Paragraph Structure for AI Parsing

    AI platforms extract content at the paragraph level. Each paragraph should be a self-contained unit of meaning.

    Optimal paragraph structure:

    • 2-4 sentences per paragraph (1-sentence paragraphs are weak; 5+ sentences are hard to extract)
    • One idea per paragraph — do not mix topics within a paragraph
    • Lead with the key claim — first sentence should contain the main point
    • Support with evidence — remaining sentences provide data, examples, or context
    • Quotable standalone — each paragraph should make sense if extracted in isolation

    Heading Structure

    • One H1 per page — the primary topic/title
    • H2 for major sections — should represent distinct subtopics
    • H3 for subsections — nested under relevant H2
    • No skipped levels — do not go from H1 to H3 without an H2
    • Descriptive headings — "How to Optimize for AI Search" not "Section 2"
    • Question-based headings where appropriate — these map directly to AI queries

    Internal Linking

    • Every content page should link to 3-5 related pages on the same site
    • Links should use descriptive anchor text (not "click here")
    • Create a topic cluster structure: pillar page linked to/from all related subtopic pages
    • Orphan pages (no internal links pointing to them) are rarely cited by AI

    AI Content Assessment

    AI-Generated Content Policy

    AI-generated content is acceptable per Google's guidance (March 2024 clarification) as long as it demonstrates genuine E-E-A-T signals and has human oversight. The concern is not HOW content is created but WHETHER it provides value.

    Signs of Low-Quality AI Content (flag these)

    Signal Description
    Generic phrasing "In today's fast-paced world...", "It's important to note that...", "At the end of the day..."
    No original insight Content that only rephrases widely available information
    Lack of first-hand experience No personal anecdotes, case studies, or specific examples
    Perfect but empty structure Well-formatted headings with shallow content beneath them
    No specific examples Uses abstract explanations without concrete instances
    Repetitive conclusions Each section ends with a variation of the same point
    Hedging overload "Generally speaking", "In most cases", "It depends on various factors" without specifying which factors
    Missing human voice No opinions, preferences, or professional judgment expressed
    Filler content Paragraphs that could be deleted without losing information
    No data or sources Claims presented as facts without attribution or evidence

    High-Quality Content Signals (regardless of production method)

    Signal Description
    Original data Surveys, experiments, benchmarks, proprietary analysis
    Specific examples Named products, companies, dates, numbers
    Contrarian or nuanced views Disagreement with conventional wisdom, backed by reasoning
    First-person experience "When I tested this..." or "Our team found..."
    Updated information References to recent events, current data
    Expert opinion Clear professional judgment, not just facts
    Practical recommendations Specific, actionable advice, not vague guidance
    Trade-offs acknowledged "This approach works well for X but not for Y because..."

    Content Freshness Assessment

    Publication Dates

    • Check for visible datePublished and dateModified in both the content and structured data
    • Content without dates is treated as less trustworthy by AI platforms
    • Dates should be specific (January 15, 2026) not vague ("recently")

    Freshness Scoring

    Criterion Score
    Updated within 3 months Excellent — current and relevant
    Updated within 6 months Good — still reasonably current
    Updated within 12 months Acceptable — may need refresh
    Updated 12-24 months ago Warning — review for accuracy
    No date or 24+ months old Critical — AI platforms may deprioritize

    Evergreen Indicators

    Some content remains relevant regardless of age. Flag content as evergreen if:

    • It covers fundamental concepts that do not change (physics, basic math, legal definitions)
    • It is clearly labeled as a reference/guide for lasting concepts
    • It does not contain time-dependent claims ("the latest", "currently", "in 2024")

    Topical Authority Assessment

    What It Is

    Topical authority measures whether a site comprehensively covers a topic rather than touching on it superficially. AI platforms prefer citing sites that are recognized authorities on their topics.

    How to Assess

    1. Content breadth: Does the site have multiple pages covering different aspects of its core topic?
    2. Content depth: Do individual pages go deep into subtopics?
    3. Topic clustering: Are pages organized into logical groups with internal linking?
    4. Content gaps: Are there obvious subtopics that the site should cover but does not?
    5. Competitor comparison: Do competitors cover subtopics that this site misses?

    Scoring

    Level Description Score Impact
    Authority 20+ pages covering topic comprehensively, strong clustering +10 bonus
    Developing 10-20 pages with some clustering +5 bonus
    Emerging 5-10 pages on topic, limited clustering +0
    Thin < 5 pages, no clustering -5 penalty

    Overall Scoring (0-100)

    Score Composition

    Component Weight Max Points
    Experience 25% 25
    Expertise 25% 25
    Authoritativeness 25% 25
    Trustworthiness 25% 25
    Subtotal 100
    Topical Authority Modifier +10 to -5
    Final Score Capped at 100

    Score Interpretation

    • 85-100: Exceptional — strong AI citation candidate across platforms
    • 70-84: Good — solid foundation, specific improvements will increase citability
    • 55-69: Average — multiple E-E-A-T gaps reducing AI visibility
    • 40-54: Below Average — significant content quality and trust issues
    • 0-39: Poor — fundamental content strategy overhaul needed

    Output Format

    Generate GEO-CONTENT-ANALYSIS.md with:

    # GEO Content Quality & E-E-A-T Analysis — [Domain]
    Date: [Date]
    
    ## Content Score: XX/100
    
    ## E-E-A-T Breakdown
    | Dimension | Score | Key Finding |
    |---|---|---|
    | Experience | XX/25 | [One-line summary] |
    | Expertise | XX/25 | [One-line summary] |
    | Authoritativeness | XX/25 | [One-line summary] |
    | Trustworthiness | XX/25 | [One-line summary] |
    
    ## Topical Authority Modifier: [+10 to -5]
    
    ## Pages Analyzed
    | Page | Word Count | Readability | Heading Structure | Citability Rating |
    |---|---|---|---|---|
    | [URL] | [Count] | [Score] | [Pass/Warn/Fail] | [High/Medium/Low] |
    
    ## E-E-A-T Detailed Findings
    
    ### Experience
    [Specific passages and pages with strong/weak experience signals]
    
    ### Expertise
    [Author credentials found, technical depth assessment, specific gaps]
    
    ### Authoritativeness
    [External validation found, topical authority assessment, gaps]
    
    ### Trustworthiness
    [Trust signals present/missing, accuracy concerns if any]
    
    ## Content Quality Issues
    [Specific passages flagged with reasons and rewrite suggestions]
    
    ## AI Content Concerns
    [Any low-quality AI content patterns detected, with specific examples]
    
    ## Freshness Assessment
    | Page | Published | Last Updated | Status |
    |---|---|---|---|
    | [URL] | [Date] | [Date] | [Current/Stale/No Date] |
    
    ## Citability Assessment
    ### Most Citable Passages
    [Top 5 passages that AI platforms are most likely to cite, with reasons]
    
    ### Least Citable Pages
    [Pages with lowest citability, with specific improvement recommendations]
    
    ## Improvement Recommendations
    ### Quick Wins
    [Specific content changes that can be made immediately]
    
    ### Content Gaps
    [Topics the site should cover to strengthen topical authority]
    
    ### Author/E-E-A-T Improvements
    [Specific steps to strengthen E-E-A-T signals]
    

    Reproducido de zubair-trabzada/geo-seo-claude bajo licencia MIT. Leer esta página en markdown.

    Archivos

    1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Requiere poder leer las páginas objetivo (con Read o WebFetch) y permiso para escribir el informe GEO-CONTENT-ANALYSIS.md.

    Detalles

    Categoría
    SEO y GEO
    Licencia
    MIT
    Recursos incluidos
    Solo SKILL.md
    Código fuente
    Ver SKILL.md

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