MCPInstall

seo-geo

by resciencelabMarketing & SEO

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, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.

Installs
54.2K
Last 24h
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#1456
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/resciencelab/opc-skills --skill seo-geo
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads seo-geo automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The seo-geo skill provides a comprehensive toolkit for SEO and GEO (Generative Engine Optimization), enabling users to perform keyword research, SERP analysis, and technical audits. It utilizes the DataForSEO API for search data and includes Python scripts for local parsing and reporting. The skill follows best practices for credential management by using environment variables for API authentication and performs web analysis through standard command-line tools and scripts.
Socket PassNo alerts
Snyk WarnMEDIUM ·Risk: MEDIUM · 2 issues
Runlayer WarnMEDIUM ·7/19 files flagged
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

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):

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:

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:

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:

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):

MethodVisibility BoostHow 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):

{
  "@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 Optimization

Meta Tags Template:

<title>{Primary Keyword} - {Brand} | {Secondary Keyword}</title>
<meta name="description" content="{Compelling description with keyword, 150-160 chars}">
<meta name="keywords" content="{keyword1}, {keyword2}, {keyword3}">

<!-- Open Graph -->
<meta property="og:title" content="{Title}">
<meta property="og:description" content="{Description}">
<meta property="og:image" content="{Image URL 1200x630}">
<meta property="og:url" content="{Canonical URL}">
<meta property="og:type" content="website">

<!-- Twitter Cards -->
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title" content="{Title}">
<meta name="twitter:description" content="{Description}">
<meta name="twitter:image" content="{Image URL}">

JSON-LD Schema (see references/schema-templates.md):

  • WebPage / Article for content pages
  • FAQPage for FAQ sections
  • Product for product pages
  • Organization for about pages
  • SoftwareApplication for tools/apps

Check Content:

  • H1 contains primary keyword
  • Images have descriptive alt text
  • Internal links to related content
  • External links have rel="noopener noreferrer"
  • Content is mobile-friendly
  • Page loads in < 3 seconds

Step 5: Validate & Monitor

Schema Validation:

# Open Google Rich Results Test
open "https://search.google.com/test/rich-results?url={encoded_url}"

# Open Schema.org Validator
open "https://validator.schema.org/?url={encoded_url}"

Check Indexing Status:

# Google (use Search Console API or manual check)
open "https://www.google.com/search?q=site:{domain}"

# Bing
open "https://www.bing.com/search?q=site:{domain}"

Generate Report:

## SEO/GEO Optimization Report

### Current Status
- Meta Tags: ✅/❌
- Schema Markup: ✅/❌
- AI Bot Access: ✅/❌
- Mobile Friendly: ✅/❌
- Page Speed: X seconds

### Recommendations
1. [Priority 1 action]
2. [Priority 2 action]
3. [Priority 3 action]

### GEO Optimizations Applied
- [ ] FAQPage schema added
- [ ] Statistics included
- [ ] Citations added
- [ ] Answer-first structure

Platform-Specific Optimization

See references/platform-algorithms.md for detailed ranking factors.

ChatGPT

  • Focus on branded domain authority (cited 11% more than third-party)
  • Update content within 30 days (3.2x more citations)
  • Build backlinks (>350K referring domains = 8.4 avg citations)
  • Match content style to ChatGPT's response format

Perplexity

  • Allow PerplexityBot in robots.txt
  • Use FAQ Schema (higher citation rate)
  • Host PDF documents (prioritized for citation)
  • Focus on semantic relevance over keywords

Google AI Overview (SGE)

  • Optimize for E-E-A-T (Experience, Expertise, Authority, Trust)
  • Use structured data (Schema markup)
  • Build topical authority (content clusters + internal linking)
  • Include authoritative citations (+132% visibility)

Microsoft Copilot / Bing

  • Ensure Bing indexing (required for citation)
  • Optimize for Microsoft ecosystem (LinkedIn, GitHub mentions help)
  • Page speed < 2 seconds
  • Clear entity definitions

Claude AI

  • Ensure Brave Search indexing (Claude uses Brave, not Google)
  • High factual density (data-rich content preferred)
  • Clear structural clarity (easy to extract)

Skill Dependencies

This skill works best with:

  • twitter skill - Search SEO experts for latest tips
  • reddit skill - Search r/SEO, r/bigseo for discussions
  • WebSearch - Keyword research and competitor analysis

References

  • references/platform-algorithms.md - Detailed ranking factors for each platform
  • references/geo-research.md - Princeton GEO research (9 methods)
  • references/schema-templates.md - JSON-LD templates
  • references/seo-checklist.md - Complete SEO audit checklist
  • references/tools-and-apis.md - Tools and API reference
  • examples/opc-skills-case-study.md - Real-world optimization example

FAQ

What does the seo-geo skill do?

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, search optimization, search ranking, AI visibility, ChatGPT ranking, Google AI Overview, indexing, JSON-LD, meta tags, or keyword research.

How do I install seo-geo?

Run npx skills add https://github.com/resciencelab/opc-skills --skill seo-geo in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/seo-geo/ (personal) or .claude/skills/seo-geo/ (project).

Which AI agents can use seo-geo?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is seo-geo safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains seo-geo?

It is published by resciencelab in resciencelab/opc-skills. It has 54,169 recorded installs.

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