seo-geo
**seo-geo** optimizes content for AI search visibility and geographic reach by analyzing brand mentions, AI citation likelihood, and content structure across search platforms. Use this skill to audit pages for AI Overview inclusion, benchmark citability scores against industry standards, and identify geographic optimization opportunities before traditional SEO campaigns.
git clone --depth 1 https://github.com/AgriciDaniel/codex-seo /tmp/seo-geo && cp -r /tmp/seo-geo/skills/seo-geo ~/.claude/skills/seo-geoSKILL.md
# AI Search / GEO Optimization (February 2026)
## Shared Data Cache
**Step 0 -- Check shared data cache:**
Before gathering, check `.seo-cache/` for reusable context from related SEO skills.
Reference: `../seo/references/shared-data-cache.md` for schemas and dependency map.
Check these cache files when present:
- `.seo-cache/site-meta.json` for domain, business type, industry, and crawl context
- `.seo-cache/audit-scores.json` for prior full-audit priorities
- `.seo-cache/pages/{url-slug}/page-analysis.json` for page-level context when a URL is provided
- If found: parse and use clearly valid fields (note "Using cached [X] from [date]")
- If missing, corrupt, or irrelevant: continue with fresh evidence
- If the user says "refresh" or "re-run": ignore cache reads and overwrite on write
## 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 3x 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, so 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 |
---
## OuAI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".
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Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, SEO best-practice review, analyze my site, website health check, or find SEO issues.
Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.
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