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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongenerative-engine-optimizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches generative-engine-optimization from kostja94/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate generative-engine-optimization. Access via /generative-engine-optimization in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
All refer to the same goal: visibility in AI assistant responses.
| 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.
| 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
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)
| 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 |
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 = 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).
ChatGPT traffic converts ~6x higher than Google search. AI tool users often have clearer intent.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added generative-engine-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: generative-engine-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
generative-engine-optimization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in generative-engine-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for generative-engine-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
generative-engine-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for generative-engine-optimization matched our evaluation — installs cleanly and behaves as described in the markdown.
generative-engine-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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