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Seo Geo

OrganizationPopular
ReScienceLab
seo-geo

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.

Overview

PublisherReScienceLab
Repositoryopc-skills
Skill nameseo-geo
Stars
1.8K
Forks
165
Bundled files
17
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 17 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ReScienceLab on GitHub. Read the source before you install it.

Installation

Install the Seo Geo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ReScienceLab/opc-skills.git /tmp/opc-skills
mkdir -p .claude/skills
cp -r /tmp/opc-skills/skills/seo-geo .claude/skills/seo-geo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Geo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Geo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Geo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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):

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):

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 Optimization

Meta Tags Template:

html
<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:

bash
# 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:

bash
# 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:

markdown
## 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Geo AI 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.

Why use Seo Geo on TypingMind?

Because you install it once and use it with any model. Seo Geo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Geo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ReScienceLab/opc-skills/tree/main/skills/seo-geo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Geo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Geo?

As many as you like. As long as a model supports skills, you can use Seo Geo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Geo AI skill free?

Yes. It is published on GitHub by ReScienceLab under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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