seo-masterlisted

# SEO Master Skill (SEO + GEO + AEO, 2026) Battle-tested playbook distilled from optimizing a real SaaS (letx.app, a collaborative LaTeX editor) against AI-native competitors. Everything here is applied knowledge, not theory. ## The one-paragraph mental model In 2026 there are **two audiences**: classic search crawlers (Google, Bing) and **AI answer engines** (ChatGPT, Claude, Gemini, Perplexity, Copilot). They overlap but differ. SEO ranks you in a list of links. **GEO/AEO gets you cited inside an AI's generated answer.** A solid SEO foundation is required for both; AEO/GEO adds: answer-first writing, dense structured data (especially FAQPage), fact density, freshness, and being present where each AI grounds its search. Critically — **each AI uses a different search index**, so "getting indexed" is not one task but several. ## How to use this skill 1. **Detect the stack first** (`package.json` → Next.js App/Pages Router, React SPA, Astro, Remix…). Implementation differs by render model. See `references/framework-seo.md`. 2. Read `references/ai-engines-and-indexes.md` — determines *where* to optimize. Wrong index = invisible to that AI. (Coding agents like Claude Code / Codex / OpenClaw / Hermes mostly ground on **Brave**.) 3. Skim `references/whats-new-2026.md` for the I/O 2026 + May core-update context (AI Mode on Gemini 3.5 Flash; "AEO/GEO is still SEO"; llms.txt is optional). 4. Run the audit in `references/implementation-checklist.md` against the site