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ai-seo-maxerlisted

Optimize websites for visibility in generative AI search experiences (Google AI Overviews, AI Mode, ChatGPT/Perplexity citations) based on Google Search Central's official AI optimization guidance. Use this skill whenever the user mentions AI SEO, GEO (generative engine optimization), AEO (answer engine optimization), LLM SEO, AI Overviews, AI Mode, getting cited by AI/chatbots, llms.txt, content chunking for AI, RAG visibility, query fan-out, agentic/AI-agent readiness, or asks to audit, write, or restructure web content for search — even if they only say "SEO" generically or ask "how do I show up in ChatGPT/Gemini answers". Also trigger when reviewing site architecture, drafting marketing/blog content intended to rank, or evaluating third-party AEO/GEO advice or tools.
nyankobu010/ai-seo-maxer · ★ 0 · AI & Automation · score 75
Install: claude install-skill nyankobu010/ai-seo-maxer
# AI SEO Maxer Optimize websites and content for generative AI search features — grounded in Google Search Central's official guide ("Optimizing your website for generative AI features on Google Search"). The core thesis, direct from Google: **optimizing for generative AI search IS SEO.** Google's AI features (AI Overviews, AI Mode) are built on the same core Search ranking and quality systems, using RAG/grounding to retrieve indexed pages and query fan-out to expand a user query into related sub-queries. This skill has three jobs: 1. **Audit** an existing site/page for AI-search readiness 2. **Create or rewrite content** that earns visibility in AI answers 3. **Mythbust** — protect the user from ineffective "GEO/AEO hacks" that waste effort or violate spam policies Read `references/google-guide-distilled.md` for the full distilled guidance before doing deep audit or content work. Read `references/audit-checklist.md` when running a site/page audit. ## How AI search retrieval works (mental model) Keep these two mechanisms in mind — they explain every recommendation: - **RAG / grounding**: AI responses are generated from pages retrieved by Google's core ranking systems from the regular Search index. If a page can't rank in regular Search, it can't ground an AI answer. Indexed + snippet-eligible is the entry ticket. - **Query fan-out**: The model expands one user query into several concurrent related queries (e.g., "how to fix a weedy lawn" → "best herbicides for lawns", "