kostja94/marketing-skills1 file

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," "generative engine optimization," "AI search visibility," "LLM optimization," "GitHub GEO," "Grokipedia," "optimize for ChatGPT," "AI Overviews," "Bing Copilot," "Yandex AI," "Perplexity optimization," "GEO strategy," or "AI search optimization." For third-party publishing strategy (which platforms to use), use parasite-seo. For GitHub repos, README, and Awesome lists, use github. For Medium.com only, use medium-posts. For Grokipedia edits, use grokipedia-recommendations. For traditional Google SERP strategy, use seo-strategy.

Specification
Skill ID
kostja94/marketing-skills/generative-engine-optimization
Publisher
kostja94
Repository
marketing-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

kostja94/marketing-skills/generative-engine-optimizationInstalls these files
  • SKILL.md

What this skill tells the agent

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

DimensionSEOGEO
GoalRankings in search resultsCitations in AI answers
User pathClick → visit → convertAnswer in-place; may not visit
ContentFull page optimizationClear, citable paragraphs
MetricsClicks, trafficCitations, brand mentions
PlatformsGoogle, 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)

PlatformTypeSource SelectionOptimization Focus
Google AI OverviewsSERP featureTop 10–12 organic; Gemini; favors older domains (49% over 15 yrs)Traditional SEO; structured data; citable blocks
Bing Copilot SearchSERP featureBing index; GPT-4; 9.81% domain overlap with Google; favors younger domains (18.85%); LinkedIn signals for B2BBing optimization; LinkedIn presence; structured content
Yandex Search with AI / NeuroSERP featureReal-time Yandex search; YandexGPT; Russia-focusedYandex indexing; Russian content; cited sources
PerplexityStandalone200B+ URL index; independent crawl; favors recency, semantic alignmentContent freshness; semantic markup; mid-tier site opportunity
ChatGPT (web search)StandaloneGPTbot; 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

Platform traffic context: Among standalone AI tools, ChatGPT captures ~60%+ of independent Gen AI traffic, Gemini ~20%+, while Claude, Perplexity, and Grok each account for ~2-4%+. These tools reach users directly. SERP features (AI Overviews, Copilot) reach users through existing search flows rather than as independent destinations. Prioritize optimization effort proportionally.

How GEO Works (RAG & Search Supply)

GEO operates through RAG (Retrieval-Augmented Generation)—AI tools retrieve content first, then generate answers. The retrieval supply type varies by platform and determines which content surfaces for citation.

Retrieval Supply Types

TypeDescriptionPlatforms
Self-built indexPlatform maintains its own crawl and search indexPerplexity (200B+ URL index, PerplexityBot); ChatGPT (OAI-SearchBot index)
Bound search enginePlatform uses a fixed first-party search APICopilot (Bing); Google AI Overviews / AI Mode (Google Search + query fan-out)
Third-party APIPlatform contracts a third-party search APIClaude for Government (Brave Search API); smaller AI tools using Tavily, Exa, You.com
HybridCombination of self-built + external APIChatGPT (OAI-SearchBot + possible search partners); Claude Web Search (supplier not publicly disclosed)

Platform Retrieval & Implications

PlatformPrimary SupplyStrategic Implication
Google AI Overviews / AI ModeGoogle Search (query fan-out)Strong traditional SEO + structured data is the most reliable path
Bing CopilotBing indexRequires Bing indexing; LinkedIn signals for B2B visibility
ChatGPT (web search)OAI-SearchBot + partnersHigh-authority, frequently updated content favored; backlinks matter
PerplexityProprietary crawlContent freshness; semantic alignment; mid-tier sites have opportunity
Claude (web search)Not publicly disclosedFocus on general crawlability and clear structured content

Third-party search APIs (Tavily, Exa, You.com, Brave Search API) feed smaller AI tools and custom agents. Content that is crawlable and indexed via standard web search reaches these APIs through their supply indexes. Core model training (long, costly, not widely actionable): focus on RAG optimization.

AI Crawlers & Discovery

AI crawlers fall into three categories with different implications for content strategy:

TypePurposeExamplesImplication
Training crawlersGather data for model trainingGPTBot, ClaudeBot, Google-Extended, Meta crawlersBlocking via robots.txt prevents training data use; does not affect real-time search/retrieval by the same provider
Index/RAG crawlersBuild search index for retrievalOAI-SearchBot, PerplexityBot, Claude-SearchBot, Bytespider (Cohere), AppleBotMust allow for RAG-based AI citation; critical for GEO
Real-time crawlersFetch content on-demand at query timeChatGPT-User (opt-in via web search)Content must be accessible without a login; paywalls may block citation

Content discovery: "Push" submissions for general web content are primarily supported through Bing IndexNow. Google's Indexing API is limited to JobPosting and BroadcastEvent pages only (not general content). OpenAI, Anthropic, Perplexity, xAI, Meta, and DeepSeek do not offer public submission portals—their crawlers discover content through standard crawl and sitemaps only.

AI crawlers generally 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 decisions. Vercel/MERJ study (2024)

Content Best Practices

PracticePurpose
Direct-answer formatAnswer specific questions in clear paragraphs
Entity signalsClear brand, product, author identity; see entity-seo
Citable paragraphsEach block understandable on its own
DistributionWebsite, 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. Studies find content with TL;DR, structured formats, and clear answers is cited substantially more by AI engines.

ElementGuideline

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