seo-geo

作成者: resciencelab

SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.

npx skills add https://github.com/resciencelab/opc-skills --skill seo-geo

SEO/GEO Optimization Skill

Comprehensive SEO and GEO (Generative Engine Optimization) for websites. Optimize for both traditional search engines (Google, Bing) and AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude).

Quick Reference

GEO = Generative Engine Optimization - Optimizing content to be cited by AI search engines.

Key Insight: AI search engines don't rank pages - they cite sources. Being cited is the new "ranking #1".

Workflow

Step 1: Website Audit

Get the target URL and analyze current SEO/GEO status.

Basic SEO Audit (Free):

python3 scripts/seo_audit.py "https://example.com"

Use this for: Quick technical SEO check (title, meta, H1, robots, sitemap, load time). No API needed.


Check Meta Tags:

curl -sL "https://example.com" | grep -E "<title>|<meta name=\"description\"|<meta property=\"og:|application/ld\+json" | head -20

Use this for: Quick check of essential meta tags and schema markup on any webpage.


Check robots.txt:

curl -s "https://example.com/robots.txt"

Use this for: Verify which bots are allowed/blocked. Critical for ensuring AI search engines can crawl your site.


Check sitemap:

curl -s "https://example.com/sitemap.xml" | head -50

Use this for: Verify sitemap structure and ensure all important pages are included for search engine discovery.

Verify AI Bot Access:

# These bots should be allowed in robots.txt:
- Googlebot (Google)
- Bingbot (Bing/Copilot)
- PerplexityBot (Perplexity)
- ChatGPT-User (ChatGPT with browsing)
- ClaudeBot / anthropic-ai (Claude)
- GPTBot (OpenAI)

Step 2: Keyword Research

Use WebSearch to research target keywords:

WebSearch: "{keyword} keyword difficulty site:ahrefs.com OR site:semrush.com"
WebSearch: "{keyword} search volume 2026"
WebSearch: "site:{competitor.com} {keyword}"

Analyze:

  • Search volume and difficulty
  • Competitor keyword strategies
  • Long-tail keyword opportunities
  • International keyword conflicts (e.g., "OPC" = industrial automation in English markets)

Step 3: GEO Optimization (AI Search Engines)

Apply the 9 Princeton GEO Methods (see references/geo-research.md):

MethodVisibility BoostHow to Apply
Cite Sources+40%Add authoritative citations and references
Statistics Addition+37%Include specific numbers and data points
Quotation Addition+30%Add expert quotes with attribution
Authoritative Tone+25%Use confident, expert language
Easy-to-understand+20%Simplify complex concepts
Technical Terms+18%Include domain-specific terminology
Unique Words+15%Increase vocabulary diversity
Fluency Optimization+15-30%Improve readability and flow
Keyword Stuffing-10%AVOID - hurts visibility

Best Combination: Fluency + Statistics = Maximum boost

Generate FAQPage Schema (+40% AI visibility):

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is [topic]?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "According to [source], [answer with statistics]."
    }
  }]
}

Optimize Content Structure:

  • Use "answer-first" format (direct answer at top)
  • Clear H1 > H2 > H3 hierarchy
  • Bullet points and numbered lists
  • Tables for comparison data
  • Short paragraphs (2-3 sentences max)

Step 4: Traditional SEO Optimization

Meta Tags Template:

<title>{Primary Keyword} - {Brand} | {Secondary Keyword}</title>
<meta name="description" content="{Compelling description with keyword, 150-160 chars}">
<meta name="keywords" content="{keyword1}, {keyword2}, {keyword3}">

<!-- Open Graph -->
<meta property="og:title" content="{Title}">
<meta property="og:description" content="{Description}">
<meta property="og:image" content="{Image URL 1200x630}">
<meta property="og:url" content="{Canonical URL}">
<meta property="og:type" content="website">

<!-- Twitter Cards -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="{Title}">
<meta name="twitter:description" content="{Description}">
<meta name="twitter:image" content="{Image URL}">

JSON-LD Schema (see references/schema-templates.md):

  • WebPage / Article for content pages
  • FAQPage for FAQ sections
  • Product for product pages
  • Organization for about pages
  • SoftwareApplication for tools/apps

Check Content:

  • H1 contains primary keyword
  • Images have descriptive alt text
  • Internal links to related content
  • External links have rel="noopener noreferrer"
  • Content is mobile-friendly
  • Page loads in < 3 seconds

Step 5: Validate & Monitor

Schema Validation:

# Open Google Rich Results Test
open "https://search.google.com/test/rich-results?url={encoded_url}"

# Open Schema.org Validator
open "https://validator.schema.org/?url={encoded_url}"

Check Indexing Status:

# Google (use Search Console API or manual check)
open "https://www.google.com/search?q=site:{domain}"

# Bing
open "https://www.bing.com/search?q=site:{domain}"

Generate Report:

## SEO/GEO Optimization Report

### Current Status
- Meta Tags: ✅/❌
- Schema Markup: ✅/❌
- AI Bot Access: ✅/❌
- Mobile Friendly: ✅/❌
- Page Speed: X seconds

### Recommendations
1. [Priority 1 action]
2. [Priority 2 action]
3. [Priority 3 action]

### GEO Optimizations Applied
- [ ] FAQPage schema added
- [ ] Statistics included
- [ ] Citations added
- [ ] Answer-first structure

Platform-Specific Optimization

See references/platform-algorithms.md for detailed ranking factors.

ChatGPT

  • Focus on branded domain authority (cited 11% more than third-party)
  • Update content within 30 days (3.2x more citations)
  • Build backlinks (>350K referring domains = 8.4 avg citations)
  • Match content style to ChatGPT's response format

Perplexity

  • Allow PerplexityBot in robots.txt
  • Use FAQ Schema (higher citation rate)
  • Host PDF documents (prioritized for citation)
  • Focus on semantic relevance over keywords

Google AI Overview (SGE)

  • Optimize for E-E-A-T (Experience, Expertise, Authority, Trust)
  • Use structured data (Schema markup)
  • Build topical authority (content clusters + internal linking)
  • Include authoritative citations (+132% visibility)

Microsoft Copilot / Bing

  • Ensure Bing indexing (required for citation)
  • Optimize for Microsoft ecosystem (LinkedIn, GitHub mentions help)
  • Page speed < 2 seconds
  • Clear entity definitions

Claude AI

  • Ensure Brave Search indexing (Claude uses Brave, not Google)
  • High factual density (data-rich content preferred)
  • Clear structural clarity (easy to extract)

Skill Dependencies

This skill works best with:

  • twitter skill - Search SEO experts for latest tips
  • reddit skill - Search r/SEO, r/bigseo for discussions
  • WebSearch - Keyword research and competitor analysis

References

関連スキル

diagnosing-endpoint-performance
posthog
Diagnose why a PostHog endpoint is slow or expensive and propose a concrete fix — bump the cache TTL, enable materialisation, restructure variables, or rewrite…
official
write-unit-tests
tldraw
tldraw SDKのユニットテストと統合テストを作成します。packages/editor内で新しいテストを作成する場合、テストカバレッジを追加する場合、または失敗しているテストを修正する場合に使用します。
official
update-skill
warpdotdev
Create or update skills by generating, editing, or refining SKILL.md files in this repository. Use when authoring new skills or revising the structure, frontmatter, or guidance for existing ones.
developmentdocument
neon-auth-react
neondatabase
Reactアプリケーション(Vite、CRA)でNeon Authをセットアップします。認証アダプターを設定し、認証クライアントを作成し、UIコンポーネントをセットアップします。追加時に使用します…
official
contract-review
anthropic
条項ごとに、組織の交渉プレイブックに照らした契約分析を実施し、重要度フラグと修正案を提示します。主要な条項タイプごとに標準的な立場、許容範囲、エスカレーション条件を定義した設定済みプレイブックを読み込みます。プレイブックがない場合は、一般的な商慣行を基準として使用します。重要条項(責任制限、補償、知的財産権、データ保護、期間・終了、準拠法)を分析し、契約全体をレビューします。
official
golang-how-to
samber
Golangスキルオーケストレーター — Golangのコーディング、レビュー、デバッグ、セットアップタスクで常にアクティブ。タスクコンテキストを読み取り、samber/cc-skills-golangから最も関連性の高いスキルをロードします。多くの場合、複数のスキルを同時にロードします:gRPCサービスの作成時にはgolang-grpc + golang-testing + golang-error-handlingをロード;パニックのデバッグ時にはgolang-troubleshooting + golang-safetyをロード;セキュリティ監査時にはgolang-security + golang-lint + golang-safetyをロード。また、2つのスキルが重複しているように見える場合、競合するクラスターを明確に区別します...
developmentcode-reviewtesting
per-tenant-database
rivet-dev
Multi-tenant data isolation with one Rivet Actor per tenant: the actor key is the tenant id, so each tenant gets its own isolated dataset and migrations.
official
xdp-testing
microsoft
XDP-for-Windows test execution and debugging workflow. Use when running tests (functional, spinxsk, pktfuzz, ringperf, rxfilter, xskmaprx, xskfwdkm), debugging…
official