From sundial-org-awesome-openclaw-skills-4
Optimizes websites, pages, and content for Generative Engine Optimization (GEO) using checklists and tactics to improve citations in AI searches like ChatGPT, Perplexity, and Claude.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-2 --plugin sundial-org-awesome-openclaw-skills-4This skill uses the workspace's default tool permissions.
Optimize content to appear in AI-powered search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). GEO is about being **parseable, quotable, and authoritative** — not keyword stuffing.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
Optimize content to appear in AI-powered search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). GEO is about being parseable, quotable, and authoritative — not keyword stuffing.
| Goal | Tactic |
|---|---|
| Get cited in AI answers | Add specific statistics, quotable facts |
| Appear in comparisons | Create definitive comparison tables |
| Answer user questions | Comprehensive FAQ sections |
| Establish entity | Clear first-paragraph definitions |
| Build authority | Third-party mentions, backlinks, freshness signals |
| Aspect | Traditional SEO | GEO |
|---|---|---|
| Goal | Rank on SERPs | Get cited in AI responses |
| Keywords | Exact match matters | Semantic understanding |
| Content style | Can be promotional | Must be factual, neutral |
| Structure | Headers for scanning | Headers + parseable data |
| Links | Backlinks for authority | Citations + entity mentions |
| Freshness | Helpful | Critical (LLMs prefer recent) |
| Format | Long-form wins | Quotable chunks win |
Score each page 0-2 points per item (0=missing, 1=partial, 2=excellent):
Scoring:
# [Entity Name]
**[Entity Name]** is a [category] that [primary function].
Unlike [alternative/competitor], [Entity Name] offers [key differentiator].
## [Entity Name] by the Numbers
- [Specific stat 1]
- [Specific stat 2]
- [Specific stat 3]
- [Specific stat 4]
## How [Entity Name] Works
[2-3 paragraphs explaining core functionality]
## Who Uses [Entity Name]
[Named customers with context]
## Frequently Asked Questions
### What is [Entity Name]?
[Direct answer in 2-3 sentences]
### How is [Entity Name] different from [Competitor]?
[Factual comparison]
### How much does [Entity Name] cost?
[Pricing info or guidance]
*Last updated: [Date]*
# Best [Competitor] Alternative: [Your Product] (2026)
> **Summary:** [Your Product] is a [category] offering [key differentiators].
> [Customers] report [specific result] compared to [Competitor].
*Last updated: [Date]*
## Why [Users] Look for [Competitor] Alternatives
### Problem 1: [Specific Pain Point]
[Explanation with specifics]
### Problem 2: [Specific Pain Point]
[Explanation with specifics]
## [Your Product] vs [Competitor]: Comparison
| Feature | [Competitor] | [Your Product] |
|---------|--------------|----------------|
| [Feature 1] | [Their approach] | [Your approach] |
| [Feature 2] | [Their approach] | [Your approach] |
| [Feature 3] | [Their approach] | [Your approach] |
## Key Differences
### [Differentiator 1]
[Factual explanation with numbers]
### [Differentiator 2]
[Factual explanation with numbers]
## Customer Results
> "[Quote with specific result]"
> — [Name], [Title], [Company]
## Frequently Asked Questions
### Is [Your Product] a good alternative to [Competitor]?
[Direct answer]
### How does [Your Product] compare to [Competitor] on [key factor]?
[Specific comparison]
### Can I migrate from [Competitor] to [Your Product]?
[Migration info]
## Summary
[Your Product] is a [category] offering [key benefits]. [Customers]
using [Your Product] instead of [Competitor] report [specific results].
*[Your Product] has [credibility stat]. Learn more at [link].*
# [Topic] FAQ
Answers to common questions about [topic].
*Last updated: [Date]*
## General Questions
### What is [thing]?
[Thing] is a [category] that [function]. It is used by [who] to [accomplish what].
### How does [thing] work?
[Thing] works by [process]. [Additional detail].
### Who uses [thing]?
[Thing] is used by [user types], including [specific examples like Company A, Company B].
## Comparison Questions
### How is [thing] different from [alternative]?
[Thing] differs from [alternative] in [specific ways]:
- [Difference 1]
- [Difference 2]
- [Difference 3]
### Is [thing] better than [alternative]?
[Thing] is better suited for [use cases] because [reasons].
[Alternative] may be better for [other use cases].
## Pricing & Access
### How much does [thing] cost?
[Pricing information or range]
### Is there a free trial?
[Trial information]
## Technical Questions
### What are the requirements for [thing]?
[Requirements list]
### How do I get started with [thing]?
1. [Step 1]
2. [Step 2]
3. [Step 3]
How it works: 3-layer reranking system
Optimization tactics:
How it works: Bing-powered search + LLM synthesis
Optimization tactics:
How it works: Google's index + Gemini synthesis
Optimization tactics:
How it works: Training data + retrieval (when web-enabled)
Optimization tactics:
Organization Schema:
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Company Name",
"description": "Clear description of what company does",
"url": "https://example.com",
"foundingDate": "2017",
"numberOfEmployees": "50-100",
"sameAs": [
"https://twitter.com/company",
"https://linkedin.com/company/company"
]
}
FAQ Schema:
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is [thing]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Direct answer here."
}
}]
}
Product Schema:
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Product Name",
"description": "Product description",
"brand": {"@type": "Brand", "name": "Brand"},
"offers": {
"@type": "Offer",
"priceCurrency": "USD",
"price": "99"
}
}
Create /llms.txt at your site root to help LLMs understand your site:
# Site Name
> Brief description of what this site/company is.
## Main Sections
- [Products](/products): Description of products section
- [Documentation](/docs): Technical documentation
- [Blog](/blog): Industry insights and updates
## Key Facts
- Founded: 2017
- Customers: 500+ companies
- Key metric: [specific number]
## Contact
- Website: https://example.com
- Email: hello@example.com
Regularly search these prompts on each platform:
Perplexity:
ChatGPT:
Google (AI Overview):
| Tool | What It Tracks | Price |
|---|---|---|
| Otterly.AI | Multi-platform AI visibility | Free tier |
| Ahrefs Brand Radar | AI search mentions | $129+/mo |
| Profound | Enterprise benchmarking | Enterprise |
| Manual tracking | DIY spreadsheet | Free |
For any page you want to optimize for GEO:
Track your citation rate over time with the included monitoring scripts!
Test current visibility:
python3 scripts/geo-monitor.py --test
Single query test:
python3 scripts/geo-monitor.py --query "best game server orchestration platform"
Generate daily report:
python3 scripts/geo-daily-report.py
1. Create your test queries file (scripts/geo-test-queries.json):
{
"queries": [
{
"query": "your target query here",
"category": "brand|product|comparison|problem|competitor"
}
]
}
2. Run daily monitoring:
# Add to cron for daily 9am checks
0 9 * * * cd /path/to/skill && bash scripts/geo-daily-monitor.sh
Citation Rate: Percentage of queries where you appear in AI responses
Categories tracked:
Current state:
Over time:
scripts/geo-monitor.py - Main testing script (uses Perplexity API)scripts/geo-daily-report.py - Formatted report generatorscripts/geo-daily-monitor.sh - Cron-friendly wrapperscripts/geo-test-queries.json - Example query fileRequirements: Perplexity API key (configure via web_search in Clawdbot)