How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does generative-engine-optimization support?

generative-engine-optimization works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is generative-engine-optimization free to use?

Yes. generative-engine-optimization is free to install and use. It is available from the open explainx.ai skill registry published by kostja94.

Where can I read ratings and reviews for generative-engine-optimization?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install generative-engine-optimization?

Run `npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

generative-engine-optimization▌

kostja94/marketing-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization

0 commentsdiscussion

summary

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.

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

how to use generative-engine-optimization

How to use generative-engine-optimization on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add generative-engine-optimization

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimization

The skills CLI fetches generative-engine-optimization from GitHub repository kostja94/marketing-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/generative-engine-optimization

Reload or restart Cursor to activate generative-engine-optimization. Access the skill through slash commands (e.g., /generative-engine-optimization) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.7★★★★★28 reviews

★★★★★Chaitanya Patil· Dec 24, 2024
We added generative-engine-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
★★★★★Emma Harris· Dec 12, 2024
Keeps context tight: generative-engine-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Piyush G· Nov 15, 2024
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Isabella Harris· Nov 3, 2024
generative-engine-optimization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Lucas Harris· Oct 22, 2024
Useful defaults in generative-engine-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Shikha Mishra· Oct 6, 2024
Registry listing for generative-engine-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Rahul Santra· Sep 13, 2024
generative-engine-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Yusuf Verma· Sep 13, 2024
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Omar Martinez· Sep 1, 2024
Registry listing for generative-engine-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Zara Ghosh· Aug 20, 2024
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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