GEO Platform Optimizer
zubair-trabzada/geo-seo-claude
Audits a site for AI search visibility one platform at a time, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot and listing gaps to fix.
A skill your agent uses when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT…
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-content-optimizer .claude/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .claude/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-content-optimizer .agents/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .agents/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-content-optimizer .cursor/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .cursor/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/geo-content-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-content-optimizer .gemini/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .gemini/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-content-optimizer .github/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .github/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aAAaqwq/AGI-Super-Team geo-content-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-content-optimizer .opencode/skills/geo-content-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "geo-content-optimizer" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/geo-content-optimizer into .opencode/skills/geo-content-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-content-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
geo-content-optimizerA skill your agent uses when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT…
Geo Content Optimizer is an agent skill from aAAaqwq/AGI-Super-Team. Use when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT answers", "AI does not mention my brand", or "make content AI-quotable". Optimizes content for Generative Engine Optimization (GEO) to increase chances of being cited by AI systems like ChatGPT, Claude, Perplexity, and Google AI Overviews. Makes content AI-friendly while maintaining SEO value. For SEO-focused writing, see seo-content-writer. For…
Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/ai-citation-patterns.md` and `references/quotable-content-examples.md`).
It sits in Marketing & SEO, covering AI search optimization and On-page SEO. It works with OpenAI and Perplexity. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is Apache-2.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 331ecd3. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
makenpxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
schema.orgAlso links to:
skills.shFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Geo Content Optimizer loads about 5.3k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 147 tokens; SKILL.md has 795 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from aAAaqwq/AGI-Super-Team at commit 331ecd3, republished under its Apache-2.0 licence (© aAAaqwq). 795 words, ~5,347 tokens.
.claude/skills/geo-content-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.SEO & GEO Skills Library · 20 skills for SEO + GEO · Install all:
npx skills add aaron-he-zhu/seo-geo-claude-skills
<details>
<summary>Browse all 20 skills</summary>
Research · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis
Build · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator
Optimize · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher
Monitor · rank-tracker · backlink-analyzer · performance-reporter · alert-manager
Cross-cutting · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management
</details>
This skill optimizes content to appear in AI-generated responses. As AI systems increasingly answer user queries directly, getting cited by these systems becomes crucial for visibility.
Optimize this content for GEO/AI citations: [content or URL]Make this article more likely to be cited by AI systemsWrite content about [topic] optimized for both SEO and GEOAudit this content for GEO readiness and suggest improvementsSee CONNECTORS.md for tool category placeholders.
With ~~AI monitor + ~~SEO tool connected: Automatically pull AI citation patterns (which content is being cited by ChatGPT, Claude, Perplexity), current AI visibility scores, competitor citation frequency, and AI Overview appearance tracking.
With manual data only: Ask the user to provide:
Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
When a user requests GEO optimization:
Load CORE-EEAT GEO-First Optimization Targets
Before optimizing, load GEO-critical items from the CORE-EEAT Benchmark:
### CORE-EEAT GEO-First Targets
These items have the highest impact on AI engine citation. Use as optimization checklist:
**Top 6 Priority Items**:
| Rank | ID | Standard | Why It Matters |
|------|----|----------|---------------|
| 1 | C02 | Direct Answer in first 150 words | All engines extract from first paragraph |
| 2 | C09 | Structured FAQ with Schema | Directly matches AI follow-up queries |
| 3 | O03 | Data in tables, not prose | Most extractable structured format |
| 4 | O05 | JSON-LD Schema Markup | Helps AI understand content type |
| 5 | E01 | Original first-party data | AI prefers exclusive, verifiable sources |
| 6 | O02 | Key Takeaways / Summary Box | First choice for AI summary citations |
**All GEO-First Items** (optimize for all when possible):
C02, C04, C05, C07, C08, C09 | O02, O03, O04, O05, O06, O09
R01, R02, R03, R04, R05, R07, R09 | E01, E02, E03, E04, E06, E08, E09, E10
Exp10 | Ept05, Ept08 | A08
**AI Engine Preferences**:
| Engine | Priority Items |
|--------|----------------|
| Google AI Overview | C02, O03, O05, C09 |
| ChatGPT Browse | C02, R01, R02, E01 |
| Perplexity AI | E01, R03, R05, Ept05 |
| Claude | R04, Ept08, Exp10, R03 |
_Full benchmark: [references/core-eeat-benchmark.md](../../references/core-eeat-benchmark.md)_Understand GEO Fundamentals
### How AI Systems Select Content to Cite
AI systems prioritize content that is:
**Authoritative**
- From recognized experts or trusted sources
- Contains proper citations and references
- Shows expertise signals (author credentials, original research)
**Accurate**
- Factually correct and verifiable
- Up-to-date information
- Consistent with consensus knowledge
**Clear**
- Well-structured and organized
- Contains clear definitions and explanations
- Uses unambiguous language
**Quotable**
- Has standalone statements that answer questions
- Contains specific facts, statistics, and data
- Includes memorable, concise explanationsAnalyze Current Content
## GEO Analysis: [Content Title]
### Current State Assessment
| GEO Factor | Current Score (1-10) | Notes |
|------------|---------------------|-------|
| Clear definitions | [X] | [notes] |
| Quotable statements | [X] | [notes] |
| Factual density | [X] | [notes] |
| Source citations | [X] | [notes] |
| Q&A format | [X] | [notes] |
| Authority signals | [X] | [notes] |
| Content freshness | [X] | [notes] |
| Structure clarity | [X] | [notes] |
| **GEO Readiness** | **[avg]/10** | **Average across factors** |
**Primary Weaknesses**:
1. [Weakness 1]
2. [Weakness 2]
3. [Weakness 3]
**Quick Wins**:
1. [Quick improvement 1]
2. [Quick improvement 2]Optimize for Clear Definitions
AI systems love clear, quotable definitions.
### Definition Optimization
**Before** (Weak for GEO):
> SEO is really important for businesses and involves various
> techniques to improve visibility online through search engines.
**After** (Strong for GEO):
> **Search Engine Optimization (SEO)** is the practice of optimizing
> websites and content to rank higher in search engine results pages
> (SERPs), increasing organic traffic and visibility.
**Definition Template**:
"[Term] is [clear category/classification] that [primary function/purpose],
[key characteristic or benefit]."
**Checklist for GEO-Optimized Definitions**:
- [ ] Starts with the term being defined
- [ ] Provides clear category (what type of thing it is)
- [ ] Explains primary function or purpose
- [ ] Uses precise, unambiguous language
- [ ] Can stand alone as a complete answer
- [ ] Is 25-50 words for optimal citation lengthCreate Quotable Statements
### Quotable Statement Optimization
AI systems cite specific, standalone statements. Transform vague
content into quotable facts.
**Weak (Not quotable)**:
> Email marketing is pretty effective and lots of companies use it.
**Strong (Quotable)**:
> Email marketing delivers an average ROI of $42 for every $1 spent,
> making it one of the highest-performing digital marketing channels.
**Types of Quotable Statements**:
1. **Statistics**
- Include specific numbers
- Cite the source
- Add context (timeframe, comparison)
Example: "According to [Source], [specific statistic] as of [date]."
2. **Facts**
- Verifiable information
- Unambiguous language
- Authoritative source
Example: "[Subject] was [fact], according to [authoritative source]."
3. **Definitions** (covered above)
4. **Comparisons**
- Clear comparison structure
- Specific differentiators
Example: "Unlike [A], [B] [specific difference], which means [implication]."
5. **How-to Steps**
- Numbered, clear steps
- Action-oriented language
Example: "To [achieve goal], [step 1], then [step 2], and finally [step 3]."Add Authority Signals
### Authority Signal Enhancement
**Expert Attribution**
Add expert quotes and credentials:
> "AI will transform how we search for information," says Dr. Jane Smith,
> AI Research Director at Stanford University.
**Source Citations**
Properly cite sources that AI can verify:
Before:
> Studies show that most people prefer video content.
After:
> According to Wyzowl's 2024 Video Marketing Statistics report,
> 91% of consumers want to see more online video content from brands.
**Authority Elements to Add**:
- [ ] Author byline with credentials
- [ ] Expert quotes with attribution
- [ ] Citations to peer-reviewed research
- [ ] References to recognized authorities
- [ ] Original data or research
- [ ] Case studies with named companies
- [ ] Industry statistics with sourcesOptimize Content Structure
### Structure Optimization for GEO
AI systems parse structured content more effectively.
**Q&A Format**
Transform content into question-answer pairs:
```html
<h2>What is [Topic]?</h2>
<p>[Direct answer in 40-60 words]</p>
<h2>How does [Topic] work?</h2>
<p>[Clear explanation with steps if applicable]</p>
<h2>Why is [Topic] important?</h2>
<p>[Specific reasons with evidence]</p>Comparison Tables
For comparison queries, use clear tables:
| Feature | Option A | Option B |
|---|---|---|
| [Feature 1] | [Specific value] | [Specific value] |
| [Feature 2] | [Specific value] | [Specific value] |
| Best for | [Use case] | [Use case] |
Numbered Lists
For process or list queries:
Definition Boxes
Highlight key definitions:
Key Definition: [Term] refers to [clear definition].
Enhance Factual Density
### Factual Density Improvement
AI systems prefer fact-rich content over opinion-heavy content.
**Content Transformation**:
**Low factual density**:
> Social media marketing is very popular nowadays. Many businesses
> use it and find it helpful for reaching customers.
**High factual density**:
> Social media marketing reaches 4.9 billion users globally (Statista, 2024).
> Businesses using social media marketing report 66% higher lead generation
> rates compared to non-users (HubSpot State of Marketing Report, 2024).
> The most effective platforms for B2B marketing are LinkedIn (96% usage),
> Twitter (82%), and Facebook (80%).
**Factual Enhancement Checklist**:
- [ ] Add specific statistics with sources
- [ ] Include exact dates, numbers, percentages
- [ ] Replace vague claims with verified facts
- [ ] Add recent data (within last 2 years)
- [ ] Include multiple data points per section
- [ ] Cross-reference with authoritative sourcesImplement FAQ Schema
### FAQ Optimization for GEO
FAQ sections are highly effective for GEO because:
- They match question-based AI queries
- They provide concise, structured answers
- FAQ schema helps AI understand Q&A pairs
**FAQ Structure**:
## Frequently Asked Questions
### [Question matching common query]?
[Direct answer: 40-60 words]
[Supporting detail or example]
### [Question matching common query]?
[Direct answer: 40-60 words]
[Supporting detail or example]
**FAQ Schema (JSON-LD)**:
```json
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "[Question text]",
"acceptedAnswer": {
"@type": "Answer",
"text": "[Answer text]"
}
}]
}Generate GEO-Optimized Output
## GEO Optimization Report
### Changes Made
**Definitions Added/Improved**:
1. [Definition 1] - [location in content]
2. [Definition 2] - [location in content]
**Quotable Statements Created**:
1. "[Statement 1]"
2. "[Statement 2]"
**Authority Signals Added**:
1. [Expert quote/citation]
2. [Source attribution]
**Structural Improvements**:
1. [Change 1]
2. [Change 2]
### Before/After GEO Score
| GEO Factor | Before (1-10) | After (1-10) | Change |
|------------|---------------|--------------|--------|
| Clear definitions | [X] | [X] | +[X] |
| Quotable statements | [X] | [X] | +[X] |
| Factual density | [X] | [X] | +[X] |
| Source citations | [X] | [X] | +[X] |
| Q&A format | [X] | [X] | +[X] |
| Authority signals | [X] | [X] | +[X] |
| **Overall GEO Score** | **[avg]/10** | **[avg]/10** | **+[X]** |
### AI Query Coverage
This content is now optimized to answer:
- "What is [topic]?" ✅
- "How does [topic] work?" ✅
- "Why is [topic] important?" ✅
- "[Topic] vs [alternative]" ✅
- "Best [topic] for [use case]" ✅CORE-EEAT GEO Self-Check
After optimization, verify GEO-First items:
### CORE-EEAT GEO Post-Optimization Check
| ID | Standard | Status | Notes |
|----|----------|--------|-------|
| C02 | Direct Answer in first 150 words | ✅/⚠️/❌ | [notes] |
| C04 | Key terms defined on first use | ✅/⚠️/❌ | [notes] |
| C09 | Structured FAQ with Schema | ✅/⚠️/❌ | [notes] |
| O02 | Summary Box / Key Takeaways | ✅/⚠️/❌ | [notes] |
| O03 | Comparisons in tables | ✅/⚠️/❌ | [notes] |
| O05 | JSON-LD Schema Markup | ✅/⚠️/❌ | [notes] |
| O06 | Section chunking (3–5 sentences) | ✅/⚠️/❌ | [notes] |
| R01 | ≥5 precise data points with units | ✅/⚠️/❌ | [notes] |
| R02 | ≥1 citation per 500 words | ✅/⚠️/❌ | [notes] |
| R04 | Claims backed by evidence | ✅/⚠️/❌ | [notes] |
| R07 | Full entity names | ✅/⚠️/❌ | [notes] |
| E01 | Original first-party data | ✅/⚠️/❌ | [notes] |
| Exp10 | Limitations acknowledged | ✅/⚠️/❌ | [notes] |
| Ept08 | Reasoning transparency | ✅/⚠️/❌ | [notes] |
**Items Needing Attention**: [list any ⚠️/❌ items]
_For full 80-item audit, use [content-quality-auditor](../../cross-cutting/content-quality-auditor/)_User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it. You can send newsletters, promotions, and other messages.'"
Output:
## GEO-Optimized Version
**Email marketing** is a digital marketing strategy that uses email to promote
products, build customer relationships, and drive conversions. According to
the Data & Marketing Association, email marketing delivers an average ROI
of $42 for every $1 invested, making it the highest-performing digital
marketing channel.
### Key email marketing formats include:
1. **Newsletters**: Regular updates sharing company news, industry insights,
and valuable content to maintain subscriber engagement
2. **Promotional emails**: Time-sensitive offers, discounts, and product
announcements designed to drive immediate sales
3. **Transactional emails**: Order confirmations, shipping updates, and
account notifications with 8x higher open rates than marketing emails
4. **Automated sequences**: Pre-scheduled email series triggered by user
actions, such as welcome series or abandoned cart reminders
> **Key statistic**: 81% of small businesses rely on email as their primary
> customer acquisition channel (Emarsys, 2024).
---
### Changes Made:
| Element | Before | After |
|---------|--------|-------|
| Definition | None | Clear definition with category |
| Statistics | None | 2 specific stats with sources |
| Structure | Single paragraph | Structured list with headers |
| Authority | None | DMA and Emarsys citations |
| Quotable statements | 0 | 3 standalone facts |
**GEO Score**: Improved from 1/10 to 8/10Use this checklist for any content:
### GEO Readiness Checklist
**Definitions & Clarity**
- [ ] Key terms are clearly defined
- [ ] Definitions can stand alone as answers
- [ ] Language is precise and unambiguous
**Quotable Content**
- [ ] Specific statistics included
- [ ] Facts have source citations
- [ ] Memorable statements created
**Authority**
- [ ] Expert quotes or credentials present
- [ ] Authoritative sources cited
- [ ] Original data or research included
**Structure**
- [ ] Q&A format sections included
- [ ] Clear headings match common queries
- [ ] Comparison tables where relevant
- [ ] Numbered lists for processes
**Technical**
- [ ] FAQ schema markup added
- [ ] Content freshness indicated
- [ ] Sources are verifiable© aAAaqwq, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/geo-content-optimizer of aAAaqwq/AGI-Super-Team.
Open the folder on GitHubat commit 331ecd3
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.
Geo Content Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Geo Content Optimizer this skillaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~5.3k | Automated safety check: Pass | Apache-2.0 | |
| GEO Platform Optimizerzubair-trabzada/geo-seo-claude | 11k | 2 repos | ~4.7k | Automated safety check: Notes | MIT | |
| GEO Optimizernowork-studio/notfair-plugin | 3.9k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Generative Engine Optimizationtech-leads-club/agent-skills | 7k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Geo Content Optimizeraaron-he-zhu/aaron-marketing-skills | 2.9k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| SEO And Aeo Strategymanojbajaj95/claude-gtm-plugin | 105 | — | ~4k | Automated safety check: Pass | MIT |
zubair-trabzada/geo-seo-claude
Audits a site for AI search visibility one platform at a time, scoring Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot and listing gaps to fix.
nowork-studio/notfair-plugin
Audits, rewrites and plans content so AI answer engines such as ChatGPT, Perplexity and Google AI Overviews cite it, without invented stats or quotes.
tech-leads-club/agent-skills
Makes a page or site easier for AI answer engines to find, understand, trust and quote, using metadata, structured data, an llms.txt file and clear page structure.
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "optimize for AI citations"; improves citation readiness for ChatGPT, Perplexity, AI Overviews, Gemini, and Claude.
manojbajaj95/claude-gtm-plugin
SEO, AEO (Answer Engine Optimization), and GEO strategy for search engines and AI visibility.
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
aAAaqwq/AGI-Super-Team
Create SEO-optimized marketing content with consistent brand voice.
aAAaqwq/AGI-Super-Team
Advanced financial calculator with future value tables, present value, discount calculations, markup pricing, and compound interest.
aAAaqwq/AGI-Super-Team
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed.
aAAaqwq/AGI-Super-Team
Tool discovery and shell one-liner reference for sysadmin, DevOps, and security tasks.
aAAaqwq/AGI-Super-Team
Publish and manage content on 知识星球 (zsxq.com). An agent skill from aAAaqwq/AGI-Super-Team.
aAAaqwq/AGI-Super-Team
Robust URL-to-Markdown extraction for OpenClaw workflows. An agent skill from aAAaqwq/AGI-Super-Team.
Works with
Categories
A skill your agent uses when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT…. Geo Content Optimizer is an agent skill from aAAaqwq/AGI-Super-Team. Use when the user asks to "optimize for AI", "get cited by ChatGPT", "AI optimization", "appear in AI answers", "GEO optimization", "get cited by AI", "show up in ChatGPT answers", "AI does not mention my brand", or "make content AI-quotable".
Geo Content Optimizer fits situations like: the user asks to optimize for AI; get cited by ChatGPT; AI optimization; appear in AI answers.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a claude-code`. Or copy the skill folder (skills/geo-content-optimizer in aAAaqwq/AGI-Super-Team) into .claude/skills/geo-content-optimizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a codex`. Or copy the skill folder (skills/geo-content-optimizer in aAAaqwq/AGI-Super-Team) into .agents/skills/geo-content-optimizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill geo-content-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-content-optimizer, .gemini/skills/geo-content-optimizer, .github/skills/geo-content-optimizer and .opencode/skills/geo-content-optimizer in your project.
Going by SKILL.md and its folder, Geo Content Optimizer needs the command-line tools its instructions call (make and npx). Our summary lists: Node.js.
SKILL.md names 2 domains. In commands or code: schema.org; the agent is likely to contact it when it follows the instructions. As links in the text: skills.sh. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Geo Content Optimizer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.3k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Geo Content Optimizer: GEO Platform Optimizer (zubair-trabzada/geo-seo-claude, 11k stars), GEO Optimizer (nowork-studio/notfair-plugin, 3.9k stars), Generative Engine Optimization (tech-leads-club/agent-skills, 7k stars) and Geo Content Optimizer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 152 skills in this directory. The repository was last updated on September 27, 2026.
Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.