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kostja94

generative-engine-optimization

by Kostja Zhang · GitHub ↗ · v1.3.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install generative-engine-optimization
Description
When the user wants to optimize for AI search visibility (ChatGPT, Claude, Perplexity, AI Overviews). Also use when the user mentions "GEO," "AEO," "generati...
README (SKILL.md)

Strategies: GEO (Generative Engine Optimization)

Guides GEO/AEO strategy for AI search visibility. GEO optimizes content for ChatGPT, Claude, Perplexity, and AI search summaries (Google AI Overviews, Bing Copilot, Yandex Search with AI)—getting cited in AI-generated answers rather than ranking in traditional SERPs. See serp-features for AI search as SERP features; featured-snippet for snippet optimization that overlaps with AI Overviews.

When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope

  • GEO = Generative Engine Optimization
  • AEO = Answer Engine Optimization
  • LLMO = Large Language Model Optimization
  • AIO = Artificial Intelligence Optimization

All refer to the same goal: visibility in AI assistant responses.

GEO vs. SEO

Dimension SEO GEO
Goal Rankings in search results Citations in AI answers
User path Click → visit → convert Answer in-place; may not visit
Content Full page optimization Clear, citable paragraphs
Metrics Clicks, traffic Citations, brand mentions
Platforms Google, Bing, Yandex (organic) AI Overviews, Copilot, Yandex AI, ChatGPT, Perplexity

Both matter: Create content that ranks and gets cited. AI search summaries (AI Overviews, Copilot, Yandex AI) are SERP features—see serp-features. When SERP features cause zero-click (user gets answer without clicking), citation becomes the primary value; optimize for being cited, not just ranked.

AI Search Platforms (SERP Features + Standalone)

Platform Type Source Selection Optimization Focus
Google AI Overviews SERP feature Top 10–12 organic; Gemini; favors older domains (49% over 15 yrs) Traditional SEO; structured data; citable blocks
Bing Copilot Search SERP feature Bing index; GPT-4; 9.81% domain overlap with Google; favors younger domains (18.85%); LinkedIn signals for B2B Bing optimization; LinkedIn presence; structured content
Yandex Search with AI / Neuro SERP feature Real-time Yandex search; YandexGPT; Russia-focused Yandex indexing; Russian content; cited sources
Perplexity Standalone 200B+ URL index; independent crawl; favors recency, semantic alignment Content freshness; semantic markup; mid-tier site opportunity
ChatGPT (web search) Standalone GPTbot; high-authority, frequently updated, LLM-friendly; favors older domains (45.8%) Backlinks; structured data; authority signals

Citation behavior: AI Overview citations 20–35% higher CTR than equivalent organic. Copilot: shortest responses, fewest links (~3.13/response). Perplexity: prominent URL citations, high trackability. Geneo, GEO AIO

How GEO Works

  • RAG (Retrieval-Augmented Generation): AI tools search first, then generate answers. Optimize for search result performance to influence AI responses.
  • Search APIs: Bing, Brave, etc. feed AI tools. SEO fundamentals still apply.
  • Core model training: Long, costly; not practical for most strategies. Focus on RAG.

Technical Crawlability (AI Crawlers)

AI crawlers (GPTBot, ClaudeBot, PerplexityBot) do not execute JavaScript—critical content must be in initial HTML. See rendering-strategies for SSR, SSG, CSR; site-crawlability for AI crawler optimization; robots-txt for allow/block. Vercel/MERJ study (2024)

Content Best Practices

Practice Purpose
Direct-answer format Answer specific questions in clear paragraphs
Entity signals Clear brand, product, author identity; see entity-seo
Citable paragraphs Each block understandable on its own
Distribution Website, YouTube (Google prioritizes YouTube in search; ~78% of social media citations in AI Overviews come from YouTube + Reddit), forums, Reddit—thoughtful comments can outrank blog posts

Article-Level GEO

For blog posts and articles, structure content for AI citation. Content with these elements is cited ~35% more frequently.

Element Guideline
TL;DR or Key Takeaways Choose one: TL;DR = 50–100 word bold summary paragraph; Key Takeaways = 5–7 bullet points; placed after intro
QAE pattern Question (H2) → Answer (2 sentences) → Evidence (data, examples, lists)
Answer-first Direct answer in first 40–60 words after each H2
Answer blocks 100–200 words per section; direct answer + context + evidence + nuance
Structured formats Lists, tables, numbered steps increase citation rate

See article-content for content creation; article-page-generator for page structure.

Parasite SEO & High-Authority Platforms

Parasite SEO = Placing content on high-authority platforms to leverage their domain strength for rankings and AI citation. See parasite-seo for full strategy.

GitHub: Tier 2 technical authority; very high AI citation. See github for repos, README, Pages, gists, awesome lists.

YouTube: Google prioritizes YouTube in search; YouTube citations in AI Overviews surged 25.21% (2025). Long-form instructional and visual-demo videos dominate. See youtube-seo for channel and video optimization; video-optimization for website-embedded video SEO.

Grokipedia: xAI's AI encyclopedia; ChatGPT, Perplexity, Copilot cite it. See grokipedia-recommendations for adding recommendations or links. Contribute genuinely useful content; avoid manipulative placement (Google Site Reputation Abuse policy).

Tools

  • GEO tracking and optimization tools for measuring AI citation and visibility

Key Insight

ChatGPT traffic converts ~6x higher than Google search. AI tool users often have clearer intent.

Output Format

  • Content structure for AI citation
  • Entity optimization; see entity-seo
  • Distribution strategy
  • Measurement approach

Related Skills

  • site-crawlability: AI crawler optimization; URL/redirect management
  • rendering-strategies: SSR, SSG, CSR; content in initial HTML for AI crawlers
  • robots-txt: AI crawler allow/block (GPTBot, ClaudeBot, PerplexityBot)
  • parasite-seo: Parasite SEO strategy; high-authority platforms for GEO
  • github: GitHub for GEO; repos, README; Tier 2 technical authority
  • youtube-seo: YouTube optimization; GEO distribution; Google prioritizes YouTube
  • serp-features: Strongly related—AI Overviews, Bing Copilot, Yandex AI; platform comparison
  • featured-snippet: Snippet optimization; overlaps with AI Overviews
  • entity-seo: Entity signals; Organization, Person schema; GEO citation
  • article-content: Article body creation; TL;DR, Key Takeaways, QAE pattern
  • article-page-generator: Article page structure; schema; layout
  • faq-page-generator: FAQ structure for GEO; citable Q&A blocks; content in initial HTML
  • howto-section-generator: HowTo step sections; citable ordered procedures; HowTo JSON-LD
Usage Guidance
This skill is an instruction-only GEO/AEO guide and appears internally consistent. Before installing, consider: (1) review the full SKILL.md to confirm there are no hidden steps that ask for credentials or to send data to external endpoints; (2) the advice includes 'parasite SEO' and distribution tactics — these can be legally or ethically risky and may violate platform terms (e.g., spammy links, manipulative content), so use responsibly; (3) because it references other skills (parasite-seo, github, medium-posts, etc.), audit those skills if you plan to invoke them (they may request credentials or installs); and (4) although the skill itself requests no secrets, always avoid feeding it private data you don't want propagated into public-facing content.
Capability Analysis
Type: OpenClaw Skill Name: generative-engine-optimization Version: 1.3.0 The skill bundle provides strategic documentation and instructions for Generative Engine Optimization (GEO). It contains no executable code or scripts, focusing entirely on providing the AI agent with a knowledge base for optimizing content visibility in AI search engines. There are no indicators of data exfiltration, malicious execution, or harmful prompt injection in SKILL.md or _meta.json.
Capability Assessment
✓ Purpose & Capability
Name and description (GEO/AEO guidance) match the SKILL.md content: strategy, formatting, and distribution advice for getting cited by AI assistants. No unrelated services, binaries, or credentials are requested.
✓ Instruction Scope
The SKILL.md contains prose guidance for content optimization and references other skill names for specialized tasks. It does not instruct the agent to read local files, access environment variables, or transmit data to external endpoints.
✓ Install Mechanism
No install spec and no code files — instruction-only. Nothing will be downloaded or written to disk as part of installation.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths; the instructions shown do not imply additional secret access is needed.
✓ Persistence & Privilege
always is false and the skill does not request elevated or permanent privileges. Autonomous invocation is allowed by default on the platform and is not by itself risky here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install generative-engine-optimization
  3. After installation, invoke the skill by name or use /generative-engine-optimization
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
Automated batch sync
Metadata
Slug generative-engine-optimization
Version 1.3.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is generative-engine-optimization?

When the user wants to optimize for AI search visibility (ChatGPT, Claude, Perplexity, AI Overviews). Also use when the user mentions "GEO," "AEO," "generati... It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.

How do I install generative-engine-optimization?

Run "/install generative-engine-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is generative-engine-optimization free?

Yes, generative-engine-optimization is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does generative-engine-optimization support?

generative-engine-optimization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created generative-engine-optimization?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.3.0.

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