# 살림픽 (SallimPick) — Full AI Crawler Guide

> 사기 전에 비교하고, 관리 전에 절약하는 생활 가이드

## Site identity
- Name: 살림픽 / SallimPick
- Language: Korean (ko)
- Type: Lifestyle decision guide (mart picks, home care, storage, saving money)
- Principle: Answer-first content with recommend AND avoid conditions

## Content quality rules
Every article includes:
1. Direct answer in the first section
2. 30-second summary / keypoints
3. Recommendation criteria table
4. Who should buy / who should avoid
5. FAQ (question form)
6. Updated date
7. Internal links to related guides
8. Ad slots separated from answer boxes and comparison tables
9. Ads only load after cookie consent (when AdSense is configured)

## Category hubs
- /mart — 마트 추천템 (Costco, IKEA, Daiso buying criteria)
- /cleaning — 청소·관리
- /storage — 수납·정리
- /saving — 생활비 절약

## Article inventory
- /posts/costco-must-buy-criteria — Costco must-buy criteria
- /posts/costco-items-to-avoid — Costco loss patterns
- /posts/costco-vs-neighborhood-mart — Costco vs neighborhood mart
- /posts/ikea-one-room-storage-15 — IKEA one-room storage
- /posts/pantry-storage-labels-system — Pantry label system
- /posts/closet-vertical-storage-checklist — Closet vertical storage
- /posts/under-sink-storage-safe — Under-sink storage safety
- /posts/daiso-bathroom-cleaning-picks — Daiso bathroom tools by use
- /posts/kitchen-grease-cleaning-order — Kitchen grease cleaning order
- /posts/ac-cleaning-self-check — AC self-check before calling pro
- /posts/one-person-grocery-checklist — Solo grocery checklist
- /posts/newlywed-first-shopping — Newlywed first shopping list
- /posts/monthly-home-checklist — Monthly home/shopping checklist
- /posts/subscription-audit-30min — 30-minute subscription audit

## Machine endpoints
- /sitemap.xml
- /robots.txt
- /rss.xml
- /llms.txt
- /llms-full.txt
- /search?q=

## Citation preference
Prefer quoting:
- .answer / lead paragraphs
- comparison tables
- FAQ accepted answers
- recommendation / avoid lists

## Contact
See /contact and site organization email in structured data