eliasoulkadi/shokunin/seo-geo

Claude Code and agent skill by eliasoulkadi/shokunin

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SEO + Generative Engine Optimization (GEO) for 2026 — technical SEO, on-page optimization, structured data (JSON-LD, schema.org), Core Web Vitals, citability scoring (llms.txt, entity clarity), AI search engine optimization (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews), and brand authority building. Use when user asks to optimize a site for search engines, improve SEO, write SEO content, implement structured data, optimize for AI search/GEO, audit a page, or improve Google rankings…

Install

npx vskill@latest install eliasoulkadi/shokunin/seo-geo

SKILL.md

SEO & GEO Architect

Optimize for traditional search AND AI-powered engines. Based on Google Search Central, Moz, and GEO research (2025-2026).

Sub-Commands

CommandDescription
audit-seoRun full SEO audit (titles, meta, schema, speed, mobile)
audit-geoRun GEO audit (llms.txt, entity clarity, AI answer format)
schemaGenerate JSON-LD structured data for any page type
optimizeImplement priority fixes ranked by impact
llmsGenerate/update llms.txt for AI crawler discovery

Workflow

Step 1: Run SEO audit

Check: title tags (< 60 chars, keyword first), meta descriptions (< 155 chars, value prop), H1 (one per page, keyword), img alt text, OG tags, canonical, robots.txt, sitemap.xml, Core Web Vitals.

Score: 90-100% good. 70-89% fix flagged. < 70% structural issues first.

Step 2: Run GEO audit

Check: llms.txt presence, ai-plugin.json, FAQ/HowTo schema, entity clarity, brand mention structure, answer format (direct answer in first 2 paragraphs).

Step 3: Prioritized fixes
FixImpactEffort
Fix crawl errors (GSC)HighLow
Improve LCP < 2.5sHighMedium
Add structured data (JSON-LD)HighMedium
Create llms.txtHighLow
Fix meta titles/descriptionsMediumLow
Add hreflang (if multilingual)MediumLow
Improve internal linkingMediumMedium
Step 4: Structured data (must implement)
json
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Brand Name",
"description": "One sentence. What you do.",
"url": "https://example.com",
"logo": "https://example.com/logo.png",
"sameAs": ["https://twitter.com/handle", "https://github.com/handle"]
}

Also: Article, FAQPage, HowTo, Product, BreadcrumbList, LocalBusiness (if applicable).

Step 5: llms.txt
# Brand Name
> One-line description.
## Core pages
- https://example.com/: Home
- https://example.com/about: About
## Docs
- https://docs.example.com/api: API reference
## Blog
- https://example.com/blog/post: Title

Place at /.well-known/llms.txt. This is how AI crawlers (GPTBot, Claude, Gemini) discover your site.

Step 6: GEO optimization
FactorImplementation
CitabilityPublish original research, unique data. AI cites sources.
Entity clarityClear about pages. Define who/what/for whom.
Answer formatDirect answer in first 2 paragraphs before expanding.
Conversational toneWrite naturally. AI penalizes keyword stuffing.
Source authorityLink to .edu, .gov, peer-reviewed. Build topical authority.
Brand mentionsGet mentioned on authoritative sites.

Production Checklist

  • [ ] Technical SEO > 90%
  • [ ] GEO audit passes (llms.txt, schema, entity clarity)
  • [ ] Core Web Vitals pass (LCP < 2.5s, INP < 200ms, CLS < 0.1)
  • [ ] Structured data: Organization + page-specific types
  • [ ] Sitemap.xml submitted to GSC
  • [ ] robots.txt correct (not blocking anything important)
  • [ ] hreflang configured (if multilingual)
  • [ ] Canonical URLs on every page
  • [ ] Open Graph + Twitter Cards on every page
  • [ ] llms.txt published
  • [ ] GSC monitoring active

Anti-Patterns

MistakeFix
Keyword stuffingNatural language. For humans first, search second.
No structured dataSchema critical for Google AND AI search.
No original researchAI cites original data. Publish unique findings.
Thin content (< 500 words)Comprehensive, authoritative.
Ignoring Core Web VitalsPerformance is a ranking factor.
No E-E-A-T signalsAuthor bios, citations, credentials, about page.

Technical SEO

Core Web Vitals Thresholds
MetricGoodNeeds WorkPoor
LCP (Largest Contentful Paint)< 2.5s2.5-4.0s> 4.0s
INP (Interaction to Next Paint)< 200ms200-500ms> 500ms
CLS (Cumulative Layout Shift)< 0.10.1-0.25> 0.25

Measure with: Lighthouse, PageSpeed Insights, Web Vitals extension, CrUX dashboard.

Crawl Budget Optimization
robots.txt
User-agent: *
Allow: /
Disallow: /api/
Disallow: /*?*
Disallow: /search
Sitemap: https://example.com/sitemap.xml

Rules:

  • Block faceted navigation URLs with ? parameters
  • Block internal search pages (no SEO value, consumes budget)
  • Keep sitemap under 50,000 URLs or split into sitemap index
  • Set lastmod accurately (Google prioritizes recently-changed URLs)
  • Use <priority> sparingly (Google largely ignores it)
Hreflang for Multilingual Sites
html
<link rel="alternate" hreflang="en" href="https://example.com/en/page" />
<link rel="alternate" hreflang="es" href="https://example.com/es/pagina" />
<link rel="alternate" hreflang="x-default" href="https://example.com/" />

Rules:

  • Every language must link to every other language (bidirectional)
  • x-default for language selector page or auto-redirect
  • Use ISO 639-1 codes (en, es, fr, de, ja, zh)
  • Verify with Google Search Console International Targeting report
Schema.org Nesting Patterns
json
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Title",
"author": { "@type": "Person", "name": "Author" },
"publisher": { "@type": "Organization", "name": "Site", "logo": { "@type": "ImageObject", "url": "logo.png" } },
"mainEntityOfPage": { "@type": "WebPage", "@id": "https://example.com/article" }
}

Nest entities, don't flatten. Google prefers deeply-nested schema over flat arrays.

GEO Optimization (Generative Engine)

For AI search engines (ChatGPT, Gemini, Perplexity, Google AI Overviews):

  1. llms.txt at /.well-known/llms.txt with structured content
  2. Entity clarity: every page must answer "who, what, where, when" in first 100 words
  3. Citability: include statistics with source links (AI Overviews prefer cited content)
  4. Direct answers: format answers as Q&A pairs (AI extracts these verbatim)
  5. Long-form depth: AI favors pages > 1,500 words with clear section headers
  6. Markdown structure: AI parses ## headers better than <h2> tags

Sources

  • Google Search Central
  • Google E-E-A-T guidelines
  • schema.org documentation
  • Moz Beginner's Guide to SEO
  • GEO research papers (2025-2026)
  • Perplexity Publisher Guidelines
  • OpenAI GPT crawler docs

Error Handling

CauseFix
Google Search Console reports crawl errors on critical pagesCheck robots.txt for accidental Disallow: / rules. Verify server returns 200 (not 5xx or 3xx loops). Submit individual URL inspection in GSC to trigger re-crawl.
Structured data (JSON-LD) fails Google Rich Results TestJSON-LD must be a valid @type from schema.org (not a made-up type). Check required properties for the type. Use application/ld+json MIME type, not text/javascript. Escape HTML entities inside JSON strings.
llms.txt returns 404 when accessed at /.well-known/llms.txtThe .well-known directory requires explicit server routing. For static sites, place at root: /llms.txt and add a redirect from /.well-known/llms.txt. For Next.js, add to public/ directory.
Core Web Vitals LCP > 4s despite image optimizationLCP element may not be an image — it could be a text block, video poster, or background image loaded via CSS. Identify the actual LCP element in PageSpeed Insights report. Preload critical resources with <link rel="preload">.
AI search engines (ChatGPT, Perplexity) ignore llms.txtllms.txt is an emerging standard (2025-2026), not universally adopted. Complement with ai-plugin.json, comprehensive sitemap.xml, and clear entity pages. Submit to Perplexity Publisher Program separately.
Canonical URL points to wrong domain after migrationStale canonicals cause duplicate content penalties. Audit all pages with a crawler (Screaming Frog, Sitebulb). Update in bulk with server-side redirects. Verify each canonical returns 200, not a redirect chain.
Hreflang tags return 404 or self-referencing loopsEach language variant must return a valid page. Use x-default for the language selector page. Validate with the hreflang tag tester in GSC International Targeting report. Remove broken variant links rather than leaving dead hreflang.
Site dropped in rankings after major redesignURLs may have changed without 301 redirects. Audit before/after URL maps. Implement redirects for all high-traffic pages first (prioritize by organic traffic in GSC). Submit old sitemap + new sitemap to GSC simultaneously for faster re-indexing.

Checklist

  • [ ] Skill loads without errors in the AI agent
  • [ ] YAML frontmatter is valid (description, compatibility, audience)
  • [ ] Workflow section provides clear step-by-step instructions
  • [ ] Error handling section covers common failure modes
  • [ ] All referenced files (references/, scripts/, assets/) exist
  • [ ] Skill triggers correctly for intended use cases
  • [ ] No broken links or missing resources

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
112
Repository forks
14
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 29 Aug 2026, 2 months ago.

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