Optimize content for AI citations across ChatGPT, Claude, Perplexity, and Google systems.
Works with
Enhances content with quotable statements, structured Q&A, precise statistics with sources, and expert attribution to increase citation frequency across major AI engines
Applies CORE-EEAT GEO-First optimization targets (definitions, authority signals, factual density, FAQ schema) prioritized by each AI system's preferences
Produces a GEO readiness score, before/after comparison, rewritten c
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongeo-content-optimizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches geo-content-optimizer from aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate geo-content-optimizer. Access via /geo-content-optimizer in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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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]
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for geo-content-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
geo-content-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: geo-content-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: geo-content-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for geo-content-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in geo-content-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
geo-content-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
geo-content-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added geo-content-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
geo-content-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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