SEO Geo-Targeting

Name: SEO Geo-Targeting
Availability: InStock
Author: AgriciDaniel

Free Verified 231 lines By AgriciDaniel ★ 1,654 on GitHub SEO

Description

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization.

How It Works

Click to enlarge

What Claude Learns

→ Key Statistics
→ Critical Insight: Brand Mentions > Backlinks
→ GEO Analysis Criteria (Updated)
→ AI Crawler Detection
→ llms.txt Standard

Installation

1. Visit the GitHub repository: https://github.com/AgriciDaniel/claude-seo
2. Copy the SKILL.md file contents
3. Save to ~/.claude/commands/skill-name.md
4. Restart Claude Code to load the new skill

Use Cases

Key Statistics

Critical Insight: Brand Mentions > Backlinks

GEO Analysis Criteria (Updated)

AI Crawler Detection

llms.txt Standard

Related Skills

Frequently Asked Questions

How detailed is the SEO Geo-Targeting skill?

SEO Geo-Targeting contains 231 lines of structured instructions covering 5 key areas. It provides comprehensive guidance including specific implementation patterns, not just surface-level tips.

Is SEO Geo-Targeting free to use?

Yes, SEO Geo-Targeting is completely free. You can download the SKILL.md file or copy it to your clipboard directly from the skill page.

What will Claude Code learn from this skill?

Claude Code will gain expertise in: Key Statistics; Critical Insight: Brand Mentions > Backlinks; GEO Analysis Criteria (Updated); and 2 more areas.

Download SKILL.md GitHub

---
name: seo-geo
description: >
  Optimize content for AI Overviews (formerly SGE), ChatGPT web search,
  Perplexity, and other AI-powered search experiences. Generative Engine
  Optimization (GEO) analysis including brand mention signals, AI crawler
  accessibility, llms.txt compliance, passage-level citability scoring, and
  platform-specific optimization. Use when user says "AI Overviews", "SGE",
  "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations",
  "ChatGPT search", or "AI visibility".
---

# AI Search / GEO Optimization (February 2026)

## Key Statistics

| Metric | Value | Source |
|--------|-------|--------|
| AI Overviews reach | 1.5 billion users/month across 200+ countries | Google |
| AI Overviews query coverage | 50%+ of all queries | Industry data |
| AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro |
| ChatGPT weekly active users | 900 million | OpenAI |
| Perplexity monthly queries | 500+ million | Perplexity |

## Critical Insight: Brand Mentions > Backlinks

**Brand mentions correlate 3× more strongly with AI visibility than backlinks.**
(Ahrefs December 2025 study of 75,000 brands)

| Signal | Correlation with AI Citations |
|--------|------------------------------|
| YouTube mentions | ~0.737 (strongest) |
| Reddit mentions | High |
| Wikipedia presence | High |
| LinkedIn presence | Moderate |
| Domain Rating (backlinks) | ~0.266 (weak) |

**Only 11% of domains** are cited by both ChatGPT and Google AI Overviews for the same query — platform-specific optimization is essential.

---

## GEO Analysis Criteria (Updated)

### 1. Citability Score (25%)

**Optimal passage length: 134-167 words** for AI citation.

**Strong signals:**
- Clear, quotable sentences with specific facts/statistics
- Self-contained answer blocks (can be extracted without context)
- Direct answer in first 40-60 words of section
- Claims attributed with specific sources
- Definitions following "X is..." or "X refers to..." patterns
- Unique data points not found elsewhere

**Weak signals:**
- Vague, general statements
- Opinion without evidence
- Buried conclusions
- No specific data points

### 2. Structural Readability (20%)

**92% of AI Overview citations come from top-10 ranking pages**, but 47% come from pages ranking below position 5 — demonstrating different selection logic.

**Strong signals:**
- Clean H1→H2→H3 heading hierarchy
- Question-based headings (matches query patterns)
- Short paragraphs (2-4 sentences)
- Tables for comparative data
- Ordered/unordered lists for step-by-step or multi-item content
- FAQ sections with clear Q&A format

**Weak signals:**
- Wall of text with no structure
- Inconsistent heading hierarchy
- No lists or tables
- Information buried in paragraphs

### 3. Multi-Modal Content (15%)

Content with multi-modal elements sees **156% higher selection rates**.

**Check for:**
- Text + relevant images
- Video content (embedded or linked)
- Infographics and charts
- Interactive elements (calculators, tools)
- Structured data supporting media

### 4. Authority & Brand Signals (20%)

**Strong signals:**
- Author byline with credentials
- Publication date and last-updated date
- Citations to primary sources (studies, official docs, data)
- Organization credentials and affiliations
- Expert quotes with attribution
- Entity presence in Wikipedia, Wikidata
- Mentions on Reddit, YouTube, LinkedIn

**Weak signals:**
- Anonymous authorship
- No dates
- No sources cited
- No brand presence across platforms

### 5. Technical Accessibility (20%)

**AI crawlers do NOT execute JavaScript** — server-side rendering is critical.

**Check for:**
- Server-side rendering (SSR) vs client-only content
- AI crawler access in robots.txt
- llms.txt file presence and configuration
- RSL 1.0 licensing terms

---

## AI Crawler Detection

Check `robots.txt` for these AI crawlers:

| Crawler | Owner | Purpose |
|---------|-------|---------|
| GPTBot | OpenAI | ChatGPT web search |
| OAI-SearchBot | OpenAI | OpenAI search features |
| ChatGPT-User | OpenAI | ChatGPT browsing |
| ClaudeBot | Anthropic | Claude web features |
| PerplexityBot | Perplexity | Perplexity AI search |
| CCBot | Common Crawl | Training data (often blocked) |
| anthropic-ai | Anthropic | Claude training |
| Bytespider | ByteDance | TikTok/Douyin AI |
| cohere-ai | Cohere | Cohere models |

**Recommendation:** Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.

---

## llms.txt Standard

The emerging **llms.txt** standard provides AI crawlers with structured content guidance.

**Location:** `/llms.txt` (root of domain)

**Format:**
```
# Title of site
> Brief description

## Main sections
- [Page title](url): Description
- [Another page](url): Description

## Optional: Key facts
- Fact 1
- Fact 2
```

**Check for:**
- Presence of `/llms.txt`
- Structured content guidance
- Key page highlights
- Contact/authority information

---

## RSL 1.0 (Really Simple Licensing)

New standard (December 2025) for machine-readable AI licensing terms.

**Backed by:** Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons

**Check for:** RSL implementation and appropriate licensing terms.

---

## Platform-Specific Optimization

| Platform | Key Citation Sources | Optimization Focus |
|----------|---------------------|-------------------|
| **Google AI Overviews** | Top-10 ranking pages (92%) | Traditional SEO + passage optimization |
| **ChatGPT** | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources |
| **Perplexity** | Reddit (46.7%), Wikipedia | Community validation, discussions |
| **Bing Copilot** | Bing index, authoritative sites | Bing SEO, IndexNow |

---

## Output

Generate `GEO-ANALYSIS.md` with:

1. **GEO Readiness Score: XX/100**
2. **Platform breakdown** (Google AIO, ChatGPT, Perplexity scores)
3. **AI Crawler Access Status** (which crawlers allowed/blocked)
4. **llms.txt Status** (present, missing, recommendations)
5. **Brand Mention Analysis** (presence on Wikipedia, Reddit, YouTube, LinkedIn)
6. **Passage-Level Citability** (optimal 134-167 word blocks identified)
7. **Server-Side Rendering Check** (JavaScript dependency analysis)
8. **Top 5 Highest-Impact Changes**
9. **Schema Recommendations** (for AI discoverability)
10. **Content Reformatting Suggestions** (specific passages to rewrite)

---

## Quick Wins

1. Add "What is [topic]?" definition in first 60 words
2. Create 134-167 word self-contained answer blocks
3. Add question-based H2/H3 headings
4. Include specific statistics with sources
5. Add publication/update dates
6. Implement Person schema for authors
7. Allow key AI crawlers in robots.txt

## Medium Effort

1. Create `/llms.txt` file
2. Add author bio with credentials + Wikipedia/LinkedIn links
3. Ensure server-side rendering for key content
4. Build entity presence on Reddit, YouTube
5. Add comparison tables with data
6. Implement FAQ sections (structured, not schema for commercial sites)

## High Impact

1. Create original research/surveys (unique citability)
2. Build Wikipedia presence for brand/key people
3. Establish YouTube channel with content mentions
4. Implement comprehensive entity linking (sameAs across platforms)
5. Develop unique tools or calculators