Agent skill

AI SEO Optimization

Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies.

MITAuto-check passedMarketing & SEO

Install AI SEO Optimization

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .claude/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .claude/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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

$skill-installer install https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization

Type 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.

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .agents/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .agents/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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.

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .cursor/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .cursor/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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

$ gemini skills install https://github.com/geekskai/blog.git --path .cursor/skills/ai-seo-optimization

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .gemini/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .gemini/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization

Installs 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).

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .github/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .github/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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.

skills CLI

$ npx skills add geekskai/blog --skill ai-seo-optimization -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install geekskai/blog ai-seo-optimization --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/geekskai/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/ai-seo-optimization .opencode/skills/ai-seo-optimization && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ai-seo-optimization" agent skill from https://github.com/geekskai/blog/tree/main/.cursor/skills/ai-seo-optimization into .opencode/skills/ai-seo-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-seo-optimization", 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.

Facts

Skill name: ai-seo-optimization
GitHub stars: 103
Token cost: ~1.8k tokens
SKILL.md length: 528 words
Files: 1
Skills in repo: 20
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies.

Works in 5 steps: Brand is the ultimate signal - In LLM… → Information Retrieval Score - If AI… → Content freshness - 30-90 day update… → …
Content optimization
SKILL.md covers Core Principles, Quick Action Checklist, Code Patterns and Content Writing Patterns, plus 5 more sections
Reaches schema.org and geekskai.com

What it does

AI SEO Optimization is an agent skill from geekskai/blog. Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies. Use when working on SEO, AI visibility, content optimization, GEO, getting brand mentioned in AI, or implementing technical SEO for LLM search.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering AI search optimization and Schema markup. It works with OpenAI and Perplexity. The repository describes itself as: 🚀 2026 Most Popular FREE Blog Template! Next.js 14, Zero Code - Just Write & Deploy | 2026最火免费博客模板！支持Markdown，一键部署，极致性能！⚡️ ✨ Write in Markdown, get your professional blog in…. The licence is MIT.

When your agent uses it

Content optimization
Getting brand mentioned in AI
Implementing technical SEO for LLM search

Example prompts

“/ai-seo-optimization”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Brand is the ultimate signal - In LLM search era, brand presence across web > perfect content
Information Retrieval Score - If AI can't extract your content chunks, you're invisible
Content freshness - 30-90 day update cycle is strongest AI ranking signal
Topical authority - Build knowledge graph + information graph, not keyword stuffing
Re-Ranker determines ranking - Focus on semantic relevance, not keyword density

What it can do on your machine

Read from SKILL.md and the folder at commit e5554c5. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- schema.org
- geekskai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI SEO Optimization loads about 1.8k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 528 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~87
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from geekskai/blog at commit e5554c5, republished under its MIT licence (© geekskai). 528 words, ~1,836 tokens.

Download SKILL.mdSave it as .claude/skills/ai-seo-optimization/SKILL.md (or your agent's skills folder).

name: ai-seo-optimization
description: Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies. Use when working on SEO, AI visibility, content optimization, GEO, getting brand mentioned in AI, or implementing technical SEO for LLM search.

AI-Era SEO & GEO Optimization

Quick reference for optimizing content and websites for AI search engines. For complete details, see AI-SEO-Complete-Guide.md.

Core Principles

Brand is the ultimate signal - In LLM search era, brand presence across web > perfect content
Information Retrieval Score - If AI can't extract your content chunks, you're invisible
Content freshness - 30-90 day update cycle is strongest AI ranking signal
Topical authority - Build knowledge graph + information graph, not keyword stuffing
Re-Ranker determines ranking - Focus on semantic relevance, not keyword density

Quick Action Checklist

Technical Setup (Do First)

Unblock AI crawlers in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended)
Add last-modified metadata to pages
Implement content freshness badges
Submit XML sitemap with correct lastmod values

Content Optimization

Use <strong> tags for core facts (pricing, features, positioning)
Structure content in chunks (fact chunks, feature chunks)
Answer in first sentence (Wikipedia principle)
Add citations with specific sources, dates, and numbers
Include FAQ sections with structured data

Brand Visibility

Test AI visibility with prompt templates weekly
Build presence on Reddit (relevant subreddits)
Create YouTube videos with transcripts and timestamps
Reach out to sites AI already cites for inclusion

Code Patterns

Content Chunking Structure

tsx

// ✅ Good: Clear content chunk structure
const ContentChunk = () => (
  <article>
    <section className="fact-chunk">
      <h2>Core Features</h2>
      <ul>
        <li><strong>Feature Name</strong>: Feature description</li>
        <li><strong>Pricing</strong>: Free to use</li>
        <li><strong>Target Users</strong>: Students, developers</li>
      </ul>
    </section>
  </article>
)

Content Freshness Badge

tsx

// app/components/ContentFreshness.tsx
import { formatDistanceToNow } from "date-fns"

export function ContentFreshnessBadge({ lastModified }: { lastModified: Date }) {
  const daysSinceUpdate = Math.floor((Date.now() - lastModified.getTime()) / (1000 * 60 * 60 * 24))
  const isFresh = daysSinceUpdate < 90

  return (
    <div className={`inline-flex items-center gap-2 rounded-full px-3 py-1 ${
      isFresh ? "border-green-500/30 bg-green-500/20" : "border-orange-500/30 bg-orange-500/20"
    }`}>
      <span>{isFresh ? "✓" : "⚠"}</span>
      <span className="text-sm">
        {isFresh ? `Updated ${formatDistanceToNow(lastModified, { addSuffix: true })}`
                 : `Last updated ${formatDistanceToNow(lastModified, { addSuffix: true })}`}
      </span>
    </div>
  )
}

robots.txt for AI Access

User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

Schema.org - Organization & WebApplication

typescript

// app/utils/schema-generator.ts
export function generateToolSchema(tool: Tool) {
  return {
    "@context": "https://schema.org",
    "@type": "WebApplication",
    name: tool.name,
    description: tool.description,
    url: `https://geekskai.com${tool.href}`,
    offers: {
      "@type": "Offer",
      price: "0",
      priceCurrency: "USD",
    },
    provider: {
      "@type": "Organization",
      name: "GeeksKai",
      url: "https://geekskai.com",
    },
    featureList: tool.features,
  }
}

FAQ Content (HTML only — no FAQPage JSON-LD)

Google limits FAQ rich results to government and authoritative health sites. Keep FAQ in visible page HTML for users and AI retrieval; do not add FAQPage JSON-LD or Question/Answer microdata.

tsx

<section aria-labelledby="faq-heading" className="fact-chunk">
  <h2 id="faq-heading">{title}</h2>
  {faqs.map((faq) => (
    <article key={faq.question}>
      <h3>{faq.question}</h3>
      <p>{faq.answer}</p>
    </article>
  ))}
</section>

Content Writing Patterns

Answer-First Structure

## Question as Heading (Exactly How Users Ask)

Direct answer in first sentence. No buildup, no fluff.

**Key points:**
- Bullet point 1
- Bullet point 2
- Bullet point 3

Details and context here if needed.

**Quick takeaway:** One sentence summary.

Quick Answer Box Template

> **Quick Answer:** [Direct answer to the main question]
>
> **Best for:** [Target audience]
>
> **Cost:** [Price range]
>
> **Key benefit:** [Main advantage]

Citation Format

❌ Wrong: "Studies show this increases conversion"

✅ Right: "HubSpot's 2024 study of 1,000 businesses found this increases conversion by 34%"

Citation requirements:

Specific source name
Recent date (within 2 years)
Exact numbers
Clear attribution with link

AI Visibility Testing

Prompt Templates

Test these weekly in ChatGPT/Perplexity:

"What's the best [your category] for [specific use case]?"
"best [your category] with [specific feature]?"
"How do I [problem you solve] without [common pain point]?"
"[your brand] vs [top competitor]"
"best [your category] tool for [target audience]"

Show full SKILL.md (196 more words)Show less

Tracking Spreadsheet

Prompt	Mentioned?	Sentiment	Sources Cited	AI Platform	Date
Best PM tool for startups	No	-	Monday, Asana	ChatGPT	1/8/25

10 Proven Strategies Summary

Unblock AI crawlers - Check robots.txt immediately
Test current visibility - Use prompt templates weekly
Piggyback on cited sources - Reach out to sites AI already uses
Create superior content - Outrank competitors with depth
Build SEO foundation - 50% of AI citations come from top 10 Google results
Answer-first structure - Wikipedia principle, direct answers
Add citations - Increases visibility by 40%
Dominate Reddit - AI's opinion source
Create YouTube videos - AI Overview king with transcripts
Strategic PR - Build authority through media mentions

Key Metrics (KPIs)

AI Search Era KPIs

Information Retrieval Score
Content Freshness (< 90 days)
Topical Coverage
Brand Mentions (quantity & quality)
Fact Retrieval Rate

Traditional SEO (Still Important)

Organic Traffic
Ranking Position
CTR
Dwell Time
Bounce Rate

Common Mistakes to Avoid

❌ Blocking AI crawlers in robots.txt
❌ Burying answers in long paragraphs
❌ Vague citations without sources/dates
❌ Ignoring content freshness (90+ days old)
❌ Keyword stuffing instead of topical coverage
❌ Missing structured data (Schema.org)

Additional Resources

For complete implementation details, code examples, and advanced strategies, see:

AI-SEO-Complete-Guide.md - Full comprehensive guide

Files

Just SKILL.md in .cursor/skills/ai-seo-optimization of geekskai/blog.

Open the folder on GitHubat commit e5554c5

Compare with similar skills

AI SEO Optimization 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.

AI SEO Optimization compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
AI SEO Optimization this skillgeekskai/blog	103	—	~1.8k	Automated safety check: Pass	MIT	yesterday
SEO GeoReScienceLab/opc-skills	1.8k	4 repos	~2.1k	Automated safety check: Pass	Apache-2.0	today
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude	11k	—	~2.8k	Automated safety check: Notes	MIT	yesterday
SEOAgriciDaniel/seo-os	134	2 repos	~3.5k	Automated safety check: Pass	MIT	3 mo ago
Geoliangdabiao/GEO-Content-Optimizer-Skill	203	1 repos	~2.3k	Automated safety check: Notes	MIT	2 mo ago
Geo Optimizerliangdabiao/GEO-Content-Optimizer-Skill	203	—	~1.1k	Automated safety check: Pass	None	2 mo ago

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Questions about AI SEO Optimization

What does AI SEO Optimization do?

Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies. AI SEO Optimization is an agent skill from geekskai/blog. Optimize content and websites for AI search engines (ChatGPT, Perplexity, Google AI Overviews) using GEO principles, content chunking, structured data, and brand visibility strategies.

When should I use AI SEO Optimization?

AI SEO Optimization fits situations like: content optimization; getting brand mentioned in AI; implementing technical SEO for LLM search.

How do I install AI SEO Optimization in Claude Code?

Run `npx skills add geekskai/blog --skill ai-seo-optimization -a claude-code`. Or copy the skill folder (.cursor/skills/ai-seo-optimization in geekskai/blog) into .claude/skills/ai-seo-optimization in your project. Claude Code loads it when a task matches its description.

How do I install AI SEO Optimization in Codex?

Run `npx skills add geekskai/blog --skill ai-seo-optimization -a codex`. Or copy the skill folder (.cursor/skills/ai-seo-optimization in geekskai/blog) into .agents/skills/ai-seo-optimization in your project. Codex loads it when a task matches its description.

Can I use AI SEO Optimization in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add geekskai/blog --skill ai-seo-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-seo-optimization, .gemini/skills/ai-seo-optimization, .github/skills/ai-seo-optimization and .opencode/skills/ai-seo-optimization in your project.

What does AI SEO Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: AI SEO Optimization is instructions for the agent only.

Does AI SEO Optimization access the network?

SKILL.md names 2 domains. In commands or code: schema.org and geekskai.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is AI SEO Optimization safe to install?

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.

What licence does AI SEO Optimization use?

AI SEO Optimization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AI SEO Optimization use?

About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AI SEO Optimization?

Skills that share tags, products or a category with AI SEO Optimization: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO (AgriciDaniel/seo-os, 134 stars) and Geo (liangdabiao/GEO-Content-Optimizer-Skill, 203 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI SEO Optimization?

geekskai (a GitHub user) maintains it in geekskai/blog, which has 103 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 7, 2026.

Source: geekskai/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install AI SEO Optimization

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AI-Era SEO & GEO Optimization

Core Principles

Quick Action Checklist

Technical Setup (Do First)

Content Optimization

Brand Visibility

Code Patterns

Content Chunking Structure

Content Freshness Badge

robots.txt for AI Access

Schema.org - Organization & WebApplication

FAQ Content (HTML only — no FAQPage JSON-LD)

Content Writing Patterns

Answer-First Structure

Quick Answer Box Template

Citation Format

AI Visibility Testing

Prompt Templates

Tracking Spreadsheet

10 Proven Strategies Summary

Key Metrics (KPIs)

AI Search Era KPIs

Traditional SEO (Still Important)

Common Mistakes to Avoid

Additional Resources

Files

Compare with similar skills

Similar skills

More from geekskai/blog

Related

Questions about AI SEO Optimization