Generative Engine Optimization
Plan and execute GEO/AEO so solo builders get cited in ChatGPT, Claude, Perplexity, and AI Overviews—not just ranked on classic Google SERPs.
Overview
Generative-engine-optimization is an agent skill most often used in Launch (also Grow, Build) that guides GEO/AEO strategy so solo builders earn citations in ChatGPT, Claude, Perplexity, and AI search summaries.
Install
npx skills add https://github.com/kostja94/marketing-skills --skill generative-engine-optimizationWhat is this skill?
- Eight-scope GEO playbook: product copy, content structure, JSON-LD/schema, llms.txt, GitHub surfaces, channel fit, artic
- Product GEO workflow: positioning clarity, feature naming, use cases, FAQs, and structured pages AI can quote
- Structured data guidance: Organization, Product, SoftwareApplication, FAQPage JSON-LD for agent-readable entities
- llms.txt generation pattern: index high-value pages, allow/restrict paths, align with AI crawler preferences
- Distinguishes GEO from traditional seo-strategy and routes parasite-seo, github, medium-posts, and grokipedia-recommenda
- Skill metadata version 1.4.0
- Eight GEO scope areas from product through monitoring
- Covers JSON-LD types including Organization, Product, SoftwareApplication, and FAQPage
Adoption & trust: 887 installs on skills.sh; 586 GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You ship a clear product but AI assistants summarize competitors because your pages, schema, and docs are not structured for generative citation.
Who is it for?
Indie SaaS, docs sites, and OSS repos preparing a launch or content refresh where ChatGPT, Perplexity, or AI Overviews are part of the growth plan.
Skip if: Builders who only need traditional Google ranking and featured snippets without AI citation goals—use seo-strategy, serp-features, or featured-snippet instead.
When should I use this skill?
User wants GEO/AEO, AI search visibility, LLM optimization, llms.txt, AI Overviews, Perplexity optimization, or optimize for ChatGPT—rather than traditional SERP-only SEO or single-platform publishing alone.
What do I get? / Deliverables
You leave with prioritized GEO actions—product copy, schema, llms.txt, GitHub/article surfaces, channels, and monitoring—ready to pair with seo-strategy or parasite-seo for execution.
- GEO/AEO strategy checklist across product, content, schema, and distribution
- llms.txt and structured-data recommendations tailored to the property
- Monitoring plan for AI referrals, citations, and competitor GEO signals
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Launch is where discoverability strategy lives; GEO is explicitly about AI-search and generative-engine visibility, which maps to the launch → geo shelf. The skill centers on generative-engine optimization (GEO/AEO), llms.txt, schema, and AI citation mechanics—not app-store ASO or pure paid distribution.
Where it fits
Tighten positioning and FAQ copy on a pre-launch landing page so AI summaries state your category and differentiator accurately.
Structure docs with answer-first sections, tables, and SoftwareApplication schema so agents can quote setup steps without hallucinating features.
Ship llms.txt, core JSON-LD, and a product GEO pass before announcing distribution on channels that feed training and retrieval corpora.
Refactor blog posts for extractable bullets, stats, and comparisons to increase Perplexity and ChatGPT citations on category queries.
Run quarterly GEO monitoring—AI referral traffic, cited URLs, and competitor share-of-voice—and iterate schema and hub pages.
How it compares
Strategy workflow for AI-generated answers and citations—not a one-off MCP integration or a single-platform parasite-seo playbook.
Common Questions / FAQ
Who is generative-engine-optimization for?
Solo and indie builders marketing SaaS, content products, or open-source repos who want measurable visibility inside AI chat and AI Overviews, not just classic SERP positions.
When should I use generative-engine-optimization?
At launch when defining positioning and site structure; during build when adding docs, FAQ, and JSON-LD; in grow when tuning articles and monitoring AI referrals; and whenever you mention GEO, AEO, llms.txt, or optimizing for ChatGPT and Perplexity.
Is generative-engine-optimization safe to install?
Treat it as a local strategy skill that may suggest publishing and schema changes you control; review the Security Audits panel on this Prism page before trusting any third-party marketing-skills package in your agent.
Workflow Chain
Then invoke: seo strategy, parasite seo
SKILL.md
READMESKILL.md - Generative Engine Optimization
# 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](https://geneo.app/blog/chatgpt-vs-perplexity-vs-google-ai-overview-geo-comparison/), [GEO AIO](https://geoaiomarketing.com/how-bing-copilot-selects-sources-compared-to-perplexity/) **Platform traffic context**: Among standalone AI tools, ChatGPT captu