Install
$ agentstack add skill-eliasoulkadi-shokunin-seo-geo ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
SEO & GEO Architect
Optimize for traditional search AND AI-powered engines. Based on Google Search Central, Moz, and GEO research (2025-2026).
Sub-Commands
| Command | Description | |---------|-------------| | audit-seo | Run full SEO audit (titles, meta, schema, speed, mobile) | | audit-geo | Run GEO audit (llms.txt, entity clarity, AI answer format) | | schema | Generate JSON-LD structured data for any page type | | optimize | Implement priority fixes ranked by impact | | llms | Generate/update llms.txt for AI crawler discovery |
Workflow
Step 1: Run SEO audit
Check: title tags ( 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
| Factor | Implementation |
|--------|---------------|
| Citability | Publish original research, unique data. AI cites sources. |
| Entity clarity | Clear about pages. Define who/what/for whom. |
| Answer format | Direct answer in first 2 paragraphs before expanding. |
| Conversational tone | Write naturally. AI penalizes keyword stuffing. |
| Source authority | Link to .edu, .gov, peer-reviewed. Build topical authority. |
| Brand mentions | Get mentioned on authoritative sites. |
## Production Checklist
- [ ] Technical SEO > 90%
- [ ] GEO audit passes (llms.txt, schema, entity clarity)
- [ ] Core Web Vitals pass (LCP 4.0s |
| INP (Interaction to Next Paint) | 500ms |
| CLS (Cumulative Layout Shift) | 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
lastmodaccurately (Google prioritizes recently-changed URLs) - Use `` sparingly (Google largely ignores it)
Hreflang for Multilingual Sites
Rules:
- Every language must link to every other language (bidirectional)
x-defaultfor 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
{
"@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):
llms.txtat/.well-known/llms.txtwith structured content- Entity clarity: every page must answer "who, what, where, when" in first 100 words
- Citability: include statistics with source links (AI Overviews prefer cited content)
- Direct answers: format answers as Q&A pairs (AI extracts these verbatim)
- Long-form depth: AI favors pages > 1,500 words with clear section headers
- Markdown structure: AI parses
##headers better than `` 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
| Cause | Fix | |-------|-----| | Google Search Console reports crawl errors on critical pages | Check 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 Test | JSON-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.txt | The .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 optimization | LCP 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 `. | | AI search engines (ChatGPT, Perplexity) ignore llms.txt | llms.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 migration | Stale 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 loops | Each 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 redesign | URLs 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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: EliasOulkadi
- Source: EliasOulkadi/shokunin
- License: MIT
- Homepage: https://eliasoulkadi.github.io/shokunin/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.