Optimizes content for AI citations in ChatGPT, Perplexity, AI Overviews, Gemini, Claude. Use for GEO, generative engine visibility, and multilingual AI search.
From seo-geo-claude-skillsnpx claudepluginhub aaron-he-zhu/seo-geo-claude-skillsThis skill uses the workspace's default tool permissions.
references/ai-citation-patterns.mdreferences/geo-optimization-techniques.mdreferences/quotable-content-examples.mdDesigns and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This build skill follows the shared Skill Contract and State Model.
This skill optimizes content to appear in AI-generated responses. As AI systems increasingly answer user queries directly, getting cited by these systems directly impacts visibility.
System role: Build layer skill. It turns briefs and signals into assets that other skills can review, publish, and monitor.
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs a shippable asset or transformation that should feed directly into quality review, deployment, or monitoring.
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Optimize this content for GEO/AI citations: [content or URL]
Make this article more likely to be cited by AI systems
Write content about [topic] optimized for both SEO and GEO
Audit this content for GEO readiness and suggest improvements
Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.
memory/content/.CLAUDE.md, memory/decisions.md, and memory/open-loops.md.Next Best Skill below when the asset is ready for review or deployment.See CONNECTORS.md for tool category placeholders.
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
With ~~AI monitor + ~~SEO tool connected: Automatically pull AI citation patterns (which content is being cited by ChatGPT, Claude, Perplexity), current AI visibility scores, competitor citation frequency, and AI Overview appearance tracking.
With manual data only: Ask the user to provide:
Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
When a user requests GEO optimization:
Load CORE-EEAT GEO-First Optimization Targets
Before optimizing, load GEO-critical items from the CORE-EEAT Benchmark:
### CORE-EEAT GEO-First Targets
These items have the highest impact on AI engine citation. Use as optimization checklist:
**Top 6 Priority Items**:
| Rank | ID | Standard | Why It Matters |
|------|----|----------|---------------|
| 1 | C02 | Direct Answer in first 150 words | All engines extract from first paragraph |
| 2 | C09 | Structured FAQ with Schema | Directly matches AI follow-up queries |
| 3 | O03 | Data in tables, not prose | Most extractable structured format |
| 4 | O05 | JSON-LD Schema Markup | Helps AI understand content type |
| 5 | E01 | Original first-party data | AI prefers exclusive, verifiable sources |
| 6 | O02 | Key Takeaways / Summary Box | First choice for AI summary citations |
**All GEO-First Items** (optimize for all when possible):
C02, C04, C05, C07, C08, C09 | O02, O03, O04, O05, O06, O09
R01, R02, R03, R04, R05, R07, R09 | E01, E02, E03, E04, E06, E08, E09, E10
Exp10 | Ept05, Ept08 | A08
**AI Engine Preferences**:
| Engine | Priority Items |
|--------|----------------|
| Google AI Overview | C02, O03, O05, C09 |
| ChatGPT Browse | C02, R01, R02, E01 |
| Perplexity AI | E01, R03, R05, Ept05 |
| Claude | R04, Ept08, Exp10, R03 |
_Full benchmark: [references/core-eeat-benchmark.md](https://github.com/aaron-he-zhu/seo-geo-claude-skills/blob/main/references/core-eeat-benchmark.md)_
Analyze Current Content
## GEO Analysis: [Content Title]
### Current State Assessment
| GEO Factor | Current Score (1-10) | Notes |
|------------|---------------------|-------|
| Clear definitions | [X] | [notes] |
| Quotable statements | [X] | [notes] |
| Factual density | [X] | [notes] |
| Source citations | [X] | [notes] |
| Q&A format | [X] | [notes] |
| Authority signals | [X] | [notes] |
| Content freshness | [X] | [notes] |
| Structure clarity | [X] | [notes] |
| **GEO Readiness** | **[avg]/10** | **Average across factors** |
**Primary Weaknesses**:
1. [Weakness 1]
2. [Weakness 2]
3. [Weakness 3]
**Quick Wins**:
1. [Quick improvement 1]
2. [Quick improvement 2]
Apply GEO Optimization Techniques
GEO fundamentals: AI systems prioritize content that is authoritative (expert credentials, proper citations), accurate (verifiable, up-to-date), clear (well-structured, unambiguous), and quotable (standalone answers, specific data). See references/geo-optimization-techniques.md for details.
Apply the six core optimization techniques: definition optimization, quotable statement creation, authority signal enhancement, structure optimization, factual density improvement, and FAQ schema implementation.
Reference: See references/geo-optimization-techniques.md for detailed before/after examples, templates, and checklists for each technique.
Key principles:
Generate GEO-Optimized Output
## GEO Optimization Report
### Changes Made
**Definitions Added/Improved**:
1. [Definition 1] - [location in content]
2. [Definition 2] - [location in content]
**Quotable Statements Created**:
1. "[Statement 1]"
2. "[Statement 2]"
**Authority Signals Added**:
1. [Expert quote/citation]
2. [Source attribution]
**Structural Improvements**:
1. [Change 1]
2. [Change 2]
### Before/After GEO Score
| GEO Factor | Before (1-10) | After (1-10) | Change |
|------------|---------------|--------------|--------|
| Clear definitions | [X] | [X] | +[X] |
| Quotable statements | [X] | [X] | +[X] |
| Factual density | [X] | [X] | +[X] |
| Source citations | [X] | [X] | +[X] |
| Q&A format | [X] | [X] | +[X] |
| Authority signals | [X] | [X] | +[X] |
| **Overall GEO Score** | **[avg]/10** | **[avg]/10** | **+[X]** |
### AI Query Coverage
This content is now optimized to answer:
- "What is [topic]?" ✅
- "How does [topic] work?" ✅
- "Why is [topic] important?" ✅
- "[Topic] vs [alternative]" ✅
- "Best [topic] for [use case]" ✅
CORE-EEAT GEO Self-Check
After optimization, verify GEO-First items:
### CORE-EEAT GEO Post-Optimization Check
| ID | Standard | Status | Notes |
|----|----------|--------|-------|
| C02 | Direct Answer in first 150 words | ✅/⚠️/❌ | [notes] |
| C04 | Key terms defined on first use | ✅/⚠️/❌ | [notes] |
| C09 | Structured FAQ with Schema | ✅/⚠️/❌ | [notes] |
| O02 | Summary Box / Key Takeaways | ✅/⚠️/❌ | [notes] |
| O03 | Comparisons in tables | ✅/⚠️/❌ | [notes] |
| O05 | JSON-LD Schema Markup | ✅/⚠️/❌ | [notes] |
| O06 | Section chunking (3–5 sentences) | ✅/⚠️/❌ | [notes] |
| R01 | ≥5 precise data points with units | ✅/⚠️/❌ | [notes] |
| R02 | ≥1 citation per 500 words | ✅/⚠️/❌ | [notes] |
| R04 | Claims backed by evidence | ✅/⚠️/❌ | [notes] |
| R07 | Full entity names | ✅/⚠️/❌ | [notes] |
| E01 | Original first-party data | ✅/⚠️/❌ | [notes] |
| Exp10 | Limitations acknowledged | ✅/⚠️/❌ | [notes] |
| Ept08 | Reasoning transparency | ✅/⚠️/❌ | [notes] |
**Items Needing Attention**: [list any ⚠️/❌ items]
_For full 80-item audit, use [content-quality-auditor](https://github.com/aaron-he-zhu/seo-geo-claude-skills/blob/main/cross-cutting/content-quality-auditor/SKILL.md)_
User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it. You can send newsletters, promotions, and other messages.'"
Output:
## GEO-Optimized Version
**Email marketing** is a digital marketing strategy that uses email to promote
products, build customer relationships, and drive conversions. According to
the Data & Marketing Association, email marketing delivers an average ROI
of $42 for every $1 invested, making it the highest-performing digital
marketing channel.
### Key email marketing formats include:
1. **Newsletters**: Regular updates sharing company news, industry insights,
and valuable content to maintain subscriber engagement
2. **Promotional emails**: Time-sensitive offers, discounts, and product
announcements designed to drive immediate sales
3. **Transactional emails**: Order confirmations, shipping updates, and
account notifications with 8x higher open rates than marketing emails
4. **Automated sequences**: Pre-scheduled email series triggered by user
actions, such as welcome series or abandoned cart reminders
> **Key statistic**: 81% of small businesses rely on email as their primary
> customer acquisition channel (Emarsys, 2024).
---
### Changes Made:
Changes: added clear definition, 2 stats with sources, structured list, DMA/Emarsys citations, 3 quotable facts. **GEO Score**: 1/10 → 8/10.
Reference: See the GEO Readiness Checklist in references/geo-optimization-techniques.md for the full checklist covering definitions, quotable content, authority, structure, and technical elements.
After delivering content or optimization output to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to memory/content/YYYY-MM-DD-<topic>.md containing:
Gate check recommended: Run content-quality-auditor before publishing (PostToolUse hook will remind automatically).
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.