GEO Content Optimizer

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.

When This Must Trigger

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.

• - Optimizing existing content for AI citations
• Creating new content designed for both SEO and GEO
• Improving chances of appearing in AI Overviews
• Making content more quotable by AI systems
• Adding authority signals that AI systems trust
• Structuring content for AI comprehension
• Competing for visibility in the AI-first search era

What This Skill Does

1. 1. Citation Optimization: Makes content more likely to be quoted by AI
2. Structure Enhancement: Formats content for AI comprehension
3. Authority Building: Adds signals that AI systems trust
4. Factual Enhancement: Improves accuracy and verifiability
5. Quote Creation: Creates memorable, citeable statements
6. Source Attribution: Adds proper citations that AI can verify
7. GEO Scoring: Evaluates content's AI-friendliness

Quick Start

Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.

Optimize Existing Content

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Create GEO-Optimized Content

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GEO Audit

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Skill Contract

Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.

• - Reads: the brief, target keywords, entity inputs, quality constraints, and prior decisions from CLAUDE.md and the shared State Model when available.
• Writes: a user-facing content, metadata, or schema deliverable plus a reusable summary that can be stored under memory/content/.
• Promotes: approved angles, messaging choices, missing evidence, and publish blockers to CLAUDE.md, memory/decisions.md, and memory/open-loops.md.
• Next handoff: use the Next Best Skill below when the asset is ready for review or deployment.

Data Sources

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:

1. 1. Target queries where they want AI citations
2. Current content URL or full content text
3. Any known instances where competitors are being cited by AI

Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.

Instructions

When a user requests GEO optimization:

1. 1. Load CORE-EEAT GEO-First Optimization Targets

Before optimizing, load GEO-critical items from the CORE-EEAT Benchmark:

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1. 2. Analyze Current Content

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1. 3. 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:
- Definitions: 25-50 words, standalone, starting with the term
- Quotable statements: Specific statistics with sources, verifiable facts
- Authority signals: Expert quotes with credentials, proper source citations
- Structure: Q&A format, comparison tables, numbered lists
- Factual density: Replace vague claims with specific data points
- FAQ schema: JSON-LD FAQPage markup matching visible content

1. 4. Generate GEO-Optimized Output

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1. 5. CORE-EEAT GEO Self-Check

After optimization, verify GEO-First items:

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Validation Checkpoints

Input Validation

• - [ ] Content source identified (URL, full text, or content draft)
• [ ] Target AI queries or topics clearly defined
• [ ] Current GEO baseline assessed (if optimizing existing content)

Output Validation

• - [ ] At least 3 clear, quotable definitions added
• [ ] Factual density improved with at least 5 verifiable statistics
• [ ] All claims have source citations from authoritative sources
• [ ] Q&A format sections cover top 5 user queries
• [ ] GEO score improvement of at least 50% from baseline
• [ ] Source of each data point clearly stated (~~AI monitor data, user-provided, or estimated)

Example

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:

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GEO Optimization Checklist

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.

Tips for Success

1. 1. Answer the question first - Put the answer in the first sentence
2. Be specific - Vague content doesn't get cited
3. Cite sources - AI systems trust verifiable information
4. Stay current - Update statistics and facts regularly
5. Match query format - Questions deserve direct answers
6. Build authority - Expert credentials increase citation likelihood

Save Results

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:

• - One-line description of what was created
• Target keyword and content type
• Open loops or items needing review
• Source data references

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.

Reference Materials

• - AI Citation Patterns - How Google AI Overviews, ChatGPT, Perplexity, and Claude select and cite sources
• Quotable Content Examples - Before/after examples of content optimized for AI citation

Next Best Skill

• - Primary: content-quality-auditor — verify the optimized content is strong enough to ship and cite.