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Geo Content Optimizer

Optimizes content for Generative Engine Optimization (GEO) to increase chances of being cited by AI systems like ChatGPT, Claude, Perplexity, and Google AI O... Skill: Geo Content Optimizer Owner: aaron-he-zhu Summary: Optimizes content for Generative Engine Optimization (GEO) to increase chances of being cited by AI systems like ChatGPT, Claude, Perplexity, and Google AI O... Tags: latest:2.0.0 Version history: v2.0.0 | 2026-02-14T04:16:47.949Z | auto **geo-content-optimizer v2.0.0 Changelog** - Major update adding metadata block with license, author, version, tags, and tri

OpenClaw
View on ClawHub

Rank

62

Safety

84

Downloads

1.0k

Updated

Apr 15, 2026

Version

2.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 4/15/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Apr 15, 2026
Protocol compatibility
OpenClawcompatibility · observed Apr 15, 2026
Adoption signal
1K downloadsadoption · observed Apr 15, 2026
Latest release
2.0.0release · observed Feb 14, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn73qjxwmbna25qq8q051epqt980sys5:geo-content-optimizer
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-aaron-he-zhu-geo-content-optimizer/snapshot"

Documentation

CLAWHUB

102,647 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: geo-content-optimizer
description: 'Use when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT answers", "AI does not mention my brand", or "make content AI-quotable". Optimizes content for Generative Engine Optimization (GEO) to increase chances of being cited by AI systems like ChatGPT, Claude, Perplexity, and Google AI Overviews. Makes content AI-friendly while maintaining SEO value. For SEO-focused writing, see seo-content-writer. For entity and brand presence, see entity-optimizer.'
license: Apache-2.0
metadata:
  author: aaron-he-zhu
  version: "2.0.0"
  geo-relevance: "high"
  tags:
    - geo
    - ai optimization
    - ai citations
    - chatgpt
    - perplexity
    - google ai overviews
    - generative engine optimization
    - llm optimization
  triggers:
    - "optimize for AI"
    - "get cited by ChatGPT"
    - "AI optimization"
    - "appear in AI answers"
    - "GEO optimization"
    - "AI-friendly content"
    - "LLM citations"
    - "get cited by AI"
    - "show up in ChatGPT answers"
    - "AI doesn't mention my brand"
    - "make content AI-quotable"
---

# GEO Content Optimizer


> **[SEO & GEO Skills Library](https://skills.sh/aaron-he-zhu/seo-geo-claude-skills)** · 20 skills for SEO + GEO · Install all: `npx skills add aaron-he-zhu/seo-geo-claude-skills`

<details>
<summary>Browse all 20 skills</summary>

**Research** · [keyword-research](../../research/keyword-research/) · [competitor-analysis](../../research/competitor-analysis/) · [serp-analysis](../../research/serp-analysis/) · [content-gap-analysis](../../research/content-gap-analysis/)

**Build** · [seo-content-writer](../seo-content-writer/) · **geo-content-optimizer** · [meta-tags-optimizer](../meta-tags-optimizer/) · [schema-markup-generator](../schema-markup-generator/)

**Optimize** · [on-page-seo-auditor](../../optimize/on-page-seo-auditor/) · [technical-seo-checker](../../optimize/technical-seo-checker/) · [internal-linking-optimizer](../../optimize/internal-linking-optimizer/) · [content-refresher](../../optimize/content-refresher/)

**Monitor** · [rank-tracker](../../monitor/rank-tracker/) · [backlink-analyzer](../../monitor/backlink-analyzer/) · [performance-reporter](../../monitor/performance-reporter/) · [alert-manager](../../monitor/alert-manager/)

**Cross-cutting** · [content-quality-auditor](../../cross-cutting/content-quality-auditor/) · [domain-authority-auditor](../../cross-cutting/domain-authority-auditor/) · [entity-optimizer](../../cross-cutting/entity-optimizer/) · [memory-management](../../cross-cutting/memory-management/)

</details>

This skill optimizes content to appear in AI-generated responses. As AI systems increasingly answer user queries directly, getting cited by these systems becomes crucial for visibility.

## When to Use This Skill

- Optimizing existing content for AI citations
- Creating new content designed fo

_meta.json

{
  "ownerId": "kn73qjxwmbna25qq8q051epqt980sys5",
  "slug": "geo-content-optimizer",
  "version": "2.0.0",
  "publishedAt": 1771042607949
}

references/ai-citation-patterns.md

# AI Citation Patterns

How different AI systems select and cite content. Understanding these patterns helps optimize content for AI visibility.

## Google AI Overviews

### Citation Behavior

**Format preferences**:
- Prefers structured, factual content
- Cites multiple sources per overview
- Shows source links as footnotes
- Displays "Sources" section at bottom

**What gets cited**:
- Clear, direct answers to queries
- Statistics with recent dates
- Step-by-step instructions
- Comparison tables
- Definition blocks
- List-formatted content

**Content structure preferences**:
- Short paragraphs (2-3 sentences)
- Bullet points and numbered lists
- Clear headings matching query intent
- Tables for comparison data
- FAQ formats

**Authority signals**:
- Domain authority (trusted sites favored)
- E-E-A-T signals (expertise, authoritativeness, trustworthiness)
- Recent publication/update dates
- Author credentials visible
- Citations to other authoritative sources

**Citation frequency**: Typically cites 3-8 sources per AI Overview

---

## ChatGPT (with Browsing)

### Citation Behavior

**Format preferences**:
- Inline citations with numbers [1], [2]
- "Sources" list at end of response
- Clickable source links
- Sometimes quotes directly with quotation marks

**What gets cited**:
- Specific facts and statistics
- Expert quotes
- Technical explanations
- Recent information (prioritizes freshness)
- Authoritative domain content
- Well-structured, scannable content

**Source selection patterns**:
- Favors .edu, .gov, .org domains
- Prioritizes recognized brands/publishers
- Values comprehensive content over thin pages
- Prefers content with clear attribution
- Looks for consensus across multiple sources

**Quoting behavior**:
- Pulls exact quotes when information is distinctive
- Paraphrases general information
- Combines information from multiple sources
- Attributes specific claims to sources

**Citation frequency**: 1-6 sources per response depending on complexity

---

## Perplexity AI

### Citation Behavior

**Format preferences**:
- Superscript numbers [1] inline
- Numbered source list with snippets
- Shows brief excerpt from each source
- Displays domain name and publish date

**What gets cited**:
- Recent content (strong freshness bias)
- Authoritative sources
- Content with clear, quotable statements
- Statistical data with sources
- Primary sources over secondary
- Content matching query intent precisely

**Content structure preferences**:
- Extremely well-structured content
- Clear topic sentences
- Quotable, standalone statements
- Factual density (stats, data, specifics)
- Headings that match question formats

**Authority signals**:
- Domain credibility
- Author expertise
- Publication reputation
- Recency of content
- Depth of coverage

**Citation frequency**: Typically 5-10 sources per response (more than others)

**Unique behavior**: Often shows "Follow-up Questions" that can reveal additional citation opportunities

---

## Claude (Know

references/quotable-content-examples.md

# Quotable Content Examples

Before/after examples of content optimized for AI citation. Each example shows the transformation from generic to quotable.

## Example 1: Definition Block

### Before (Generic, Not Quotable)

> SEO is really important for businesses and involves various techniques to improve visibility online through search engines. It's been around for a while and many businesses use it to get more traffic to their websites.

**Problems**:
- Vague language ("really important", "various techniques")
- No clear classification
- Meandering structure
- Not standalone

**Citation likelihood**: 1/10

---

### After (Clear, Quotable)

> **Search Engine Optimization (SEO)** is a digital marketing practice that improves website rankings in organic search results through content optimization, technical improvements, and authority building. According to BrightEdge research, organic search drives 53% of all website traffic, making SEO the highest-impact channel for sustainable online visibility.

**Improvements**:
- Clear term + category classification
- Specific components listed
- Authoritative statistic with source
- Standalone statement
- Precise language

**Citation likelihood**: 9/10

---

## Example 2: Statistical Content

### Before (Weak)

> Email marketing is pretty effective and lots of companies use it. It has a good return on investment compared to other marketing channels.

**Problems**:
- No specific numbers
- No source attribution
- Vague comparisons ("pretty effective", "lots", "good")
- Not verifiable

**Citation likelihood**: 2/10

---

### After (Strong)

> Email marketing delivers an average ROI of $42 for every $1 spent, according to the Data & Marketing Association's 2024 research. This 4,200% return makes email the highest-performing digital marketing channel, outperforming social media (28% ROI) and paid search (23% ROI) by significant margins.

**Improvements**:
- Specific statistic with exact numbers
- Source attribution with year
- Comparative data
- Verifiable claim
- Context provided

**Citation likelihood**: 9/10

---

## Example 3: Process/How-To Content

### Before (Unclear)

> To do keyword research, you should think about what your customers might search for and then use some tools to find more keywords. Look at what your competitors are doing too. Then pick the best keywords for your content.

**Problems**:
- Vague steps ("think about", "some tools")
- No clear structure
- Missing specifics
- No actionable guidance

**Citation likelihood**: 2/10

---

### After (Clear Process)

> To conduct effective keyword research:
>
> 1. **Identify seed keywords** - List 5-10 core topics your target audience searches for
> 2. **Expand with research tools** - Use tools like Google Keyword Planner or Ahrefs to generate 100+ related keywords
> 3. **Analyze search intent** - Categorize each keyword as informational, commercial, or transactional
> 4. **Assess competition** - Evaluate ranking difficulty using domain authority a

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/aaron-he-zhu/geo-content-optimizer",
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      "sourceType": "profile",
      "confidence": "medium",
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      "label": "Adoption signal",
      "value": "1K downloads",
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  "events": [
    {
      "eventType": "release",
      "title": "Release 2.0.0",
      "description": "**geo-content-optimizer v2.0.0 Changelog** - Major update adding metadata block with license, author, version, tags, and trigger phrases for improved discovery and integration. - Expanded description to clarify use cases, recommended triggers, and relevant related skills. - Added a full SEO & GEO Skills Library cross-reference, with categorized links to 20 related skills. - Refined in-skill instructions and user prompts for clarity. - No changes to the core GEO optimization workflow or technical logic.",
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      "isPublic": true
    }
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}

Record generated Oct 9, 2026.

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