seo-geo
SEO & GEO (Generative Engine Optimization) for websites.
Skill by ReScienceLab
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/resciencelab-seo-geo
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: marketing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 2
api.dataforseo.com· found in codecodeload.github.com· found in install command
Files it touches
~/.claude/skills/seo-geo
What's inside
- Skill name
seo-geo- Description
- SEO & GEO (Generative Engine Optimization) for websites. Analyze keywords, generate schema markup, optimize for AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude) and traditional search (Google, Bing). Use when user wants to improve search visibility.
- License
- Apache-2.0
- Instructions
- 247 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (18)
- SKILL.md
- opc-skills-case-study.md · examples/
- geo-research.md · references/
- google-docs-summary.md · references/
- platform-algorithms.md · references/
- schema-templates.md · references/
- seo-checklist.md · references/
- tools-and-apis.md · references/
- autocomplete_ideas.py · scripts/
- backlinks.py · scripts/
- competitor_gap.py · scripts/
- credential.py · scripts/
- dataforseo_api.py · scripts/
- domain_overview.py · scripts/
- keyword_research.py · scripts/
- related_keywords.py · scripts/
- seo_audit.py · scripts/
- serp_analysis.py · scripts/
SKILL.md (first lines)
# SEO/GEO Optimization Skill
Comprehensive SEO and GEO (Generative Engine Optimization) for websites. Optimize for both traditional search engines (Google, Bing) and AI search engines (ChatGPT, Perplexity, Gemini, Copilot, Claude).
## Quick Reference
**GEO = Generative Engine Optimization** - Optimizing content to be cited by AI search engines.
**Key Insight:** AI search engines don't rank pages - they **cite sources**. Being cited is the new "ranking #1".
## Workflow
### Step 1: Website Audit
Get the target URL and analyze current SEO/GEO status.
**Basic SEO Audit (Free):**
```bash
python3 scripts/seo_audit.py "https://example.com"
```
**Use this for**: Quick technical SEO check (title, meta, H1, robots, sitemap, load time). No API needed.
---
**Check Meta Tags:**
```bash
curl -sL "https://example.com" | grep -E "<title>|<meta name=\"description\"|<meta property=\"og:|application/ld\+json" | head -20
```
**Use this for**: Quick check of essential meta tags and schema markup on any webpage.
---
**Check robots.txt:**
```bash
curl -s "https://example.com/robots.txt"
```
**Use this for**: Verify which bots are allowed/blocked. Critical for ensuring AI search engines can crawl your site.
---
**Check sitemap:**
```bash
curl -s "https://example.com/sitemap.xml" | head -50
```
**Use this for**: Verify sitemap structure and ensure all important pages are included for search engine discovery.
**Verify AI Bot Access:**
```
# These bots should be allowed in robots.txt:
- Googlebot (Google)
- Bingbot (Bing/Copilot)
- PerplexityBot (Perplexity)
- ChatGPT-User (ChatGPT with browsing)
- ClaudeBot / anthropic-ai (Claude)
- GPTBot (OpenAI)
```
### Step 2: Keyword Research
Use **WebSearch** to research target keywords:
```
WebSearch: "{keyword} keyword difficulty site:ahrefs.com OR site:semrush.com"
WebSearch: "{keyword} search volume 2026"
WebSearch: "site:{competitor.com} {keyword}"
```
**Analyze:**
- Search volume and difficulty
- Competitor keyword strategies
- Long-tail keyword opportunities
- International keyword conflicts (e.g., "OPC" = industrial automation in English markets)
### Step 3: GEO Optimization (AI Search Engines)
Apply the **9 Princeton GEO Methods** (see [references/geo-research.md](./references/geo-research.md)):
| Method | Visibility Boost | How to Apply |
|--------|-----------------|--------------|
| **Cite Sources** | +40% | Add authoritative citations and references |
| **Statistics Addition** | +37% | Include specific numbers and data points |
| **Quotation Addition** | +30% | Add expert quotes with attribution |
| **Authoritative Tone** | +25% | Use confident, expert language |
| **Easy-to-understand** | +20% | Simplify complex concepts |
| **Technical Terms** | +18% | Include domain-specific terminology |
| **Unique Words** | +15% | Increase vocabulary diversity |
| **Fluency Optimization** | +15-30% | Improve readability and flow |
| ~~Keyword Stuffing~~ | **-10%** | **AVOID - hurts visibility** |
**Best Combination:** Fluency + Statistics = Maximum boost
**Generate FAQPage Schema** (+40% AI visibility):
```json
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is [topic]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "According to [source], [answer with statistics]."
}
}]
}
```
**Optimize Content Structure:**
- Use "answer-first" format (direct answer at top)
- Clear H1 > H2 > H3 hierarchy
- Bullet points and numbered lists
- Tables for comparison data
- Short paragraphs (2-3 sentences max)
### Step 4: Traditional SEO OptimizationFrom ReScienceLab/opc-skills, Apache-2.0.
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Signals
- Stars
- 1,875
- Forks
- 168
- Open issues
- 10
- Last commit (this folder)
- Jan 21, 2026 (9 months ago)
- Last release
- Feb 23, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/ReScienceLab/opc-skills
- Website
- opc.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
seo-geo skill. Agent Mart. https://agentmart.dev/skills/resciencelab-seo-geo (last updated 2026-10-24)