12 Core SEO·Search-Engine Concepts — sandbox · E-E-A-T · DA · CTR · AI Overview on One Page

TL;DR: A new domain stays in Google sandbox for 6–12 weeks → search impressions near zero. If your site targets Korean users, Naver is the main channel — looking at GSC only makes you think the site is dead. AI Overview and zero-click search drive CTR even lower. SEO is 80% time, 20% action.

A month after migrating the domain (taystudio.github.io → taystudios.com), GSC showed 2 clicks and 777 impressions. "Did the site die?" — panic. Then Cloudflare showed a steady ~55 visits/day. Naver SearchAdvisor — 26,000 impressions and 230 clicks in a month.

= I was screaming with one eye closed.

This post collects the 12 SEO concepts I actually bumped into. Common traps new-domain operators fall into, plus how the Korean market behaves differently.

The basic flow

Site → [Crawl] → [Index] → [Rank] → Search results

If any of the five stages stalls, traffic is zero. We migrated on 5/9, and meaningful indexing didn't start until 5/22 — roughly 13 days. A fresh domain is slow to even get indexed.

1. Google Sandbox — the "probation" for new domains

Google's unofficial algorithm that places fresh domains in a probation period. For 6–12 weeks, pages get indexed but rank movement is limited.

Why?

To stop spam/MFA (Made For AdSense) sites from spinning up new domains and grabbing rankings. Six weeks lets Google answer: "Is this site still alive?"

Signals

• Indexing happens just fine ✅
• Impressions spike → dip (ours: 5/14 peak → 5/24 near zero)
• Very low CTR
• Other (older) sites outrank you on the same keywords

What to do

Time + maintain content quality + earn backlinks naturally. External shortcuts basically don't exist.

Google officially denies sandbox exists, but it's widely observed in the SEO community. Our domain (5/9) + 6–12 weeks → 6/20 ~ 7/30 auto-expiration expected. Until then, just wait.

2. E-E-A-T — Google's four quality pillars

Experience · Expertise · Authoritativeness · Trustworthiness

Especially YMYL (Your Money, Your Life) — taxes, medical, legal, finance — gets evaluated very strictly. A single wrong number can drag the whole site's trust score down.

More than half of our 38 calculators are YMYL (salary · property-tax · inheritance, etc.). So every number is sourced directly from the government's official site (law.go.kr, NTS, MOEF). Blogs and news outlets are never cited. That's the E-E-A-T risk shield.

3. Domain Authority (DA)

A 0–100 score for how much search engines trust a site. Measured by Moz, Ahrefs, etc. (Not an official Google score — an estimate.)

The dominant factor: backlinks (other sites linking to you) — quantity and quality.

• DA 70+ → Google ranks you high
• DA 0~10 → back of the results
• DA grows only with time + naturally accumulated backlinks

Our new domain DA is near zero. Some authority may have carried over from taystudio.github.io. 3–6 months of accumulation is needed.

4. AI Overview — Google's new threat

Since 2024, Google shows AI answers directly at the top of search results:

Query: "net salary on 50 million KRW"
↓
AI Overview: "About 3.54M per month, after the 4 social insurances..."
↓
The user never clicks our site

Calculator sites take a direct hit. Naver's Korean-policy AI is still weak, so the impact there is minor.

5. Zero-Click Search

Users search but never click through — they get the answer from the SERP itself:

• Featured Snippet
• Knowledge Panel
• AI Overview
• "60%+ of Google searches are now zero-click" (Similarweb 2024)

Counter: Differentiated content beyond simple facts — simulations, matrices, case studies, visualizations. Depth that AI can't condense into one line.

That's exactly why we attached matrices to our tools (1-home-owner FMV ratio 9×4 / DSR back-calculation / 6+6 split scenarios).

6. The Korean search market

Korean queries (taxes · calculators · policy) lean heavily Naver. Judging a site by Google alone is wrong here.

7. Sitemap · robots.txt · llms.txt — the contracts with crawlers

Explicit Allow for GPTBot · ClaudeBot · PerplexityBot · Google-Extended in robots.txt is the standard now. We have it set up.

8. Schema.org / JSON-LD — the rich-snippet engine

A structured-data vocabulary search engines understand. JSON-LD is the most common format.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What's the net salary on KRW 50M?",
    "acceptedAnswer": { "@type": "Answer", "text": "About 3.54M per month..." }
  }]
}
</script>

Drop this in and Google shows ⭐ratings, expandable FAQs, breadcrumbs in the results → higher CTR.

9. CTR Optimization — turning impressions into clicks

Showing up doesn't help if no one clicks. CTR drivers:

• <title> — direct match with the query, attractive
• <meta name="description"> — core value in ~150 chars
• URL readability — /tools/salary/ > /p?id=12345
• Rich snippets — ⭐, FAQ expand
• Site credibility (HTTPS, domain age)

Our GSC CTR is 0.3% (normal 2–5%) — new domain + AI Overview pressure. On the exact same site, Naver shows 0.9% — 3× difference. Korean engines match Korean content better.

10. Keywords — short-tail vs long-tail

New sites can't win short-tail. Accumulating long-tails is the path. Our matrix/simulation additions are exactly the long-tail capture strategy.

11. Three analytics tools — looking at one is missing 80%

Our three-source combo:

• GSC (3 months): 2 clicks / 777 impressions
• Naver (30 days): 230 clicks / 26,000 impressions
• Cloudflare (24h): 57 visits

→ Naver is 33–115× GSC. Looking at Google alone, I'd have written off the site.

12. GEO (Generative Engine Optimization) — SEO for the AI era

Optimizing to be cited by ChatGPT · Claude · Perplexity · Gemini:

• llms.txt — markdown meta at site root
• Structured data (Schema.org)
• Source citations (author · date · source)
• Fact-rich content

Cloudflare already shows chatgpt.com as a referrer — LLM exposure has started. Updating llms.txt should accelerate it.

Wrap-up — SEO is 80% time, 20% action

What you can do: - Set up sitemap · robots · llms.txt - Register on every engine (GSC · Naver · Daum · Bing) - Optimize title/description for CTR - Add structured data - Differentiate content

What you can't: - Shorten Google sandbox - Boost DA instantly - Soften AI Overview - Change Naver's algorithm

One month into running a new domain, the conclusion: don't panic from one data source. Even with Google weak, Naver + Daum + AI channels combine to plenty of traffic. Our site: 57 visits/day, 230 Naver clicks/month, AI-search exposure starting. Far from dead.

Related

• (Coming) GSC vs Naver vs Cloudflare — same site, three different stories
• (Coming) Adding llms.txt — site metadata for the AI-search era