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doric9/naver-blog-seo

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Overview

This skill automates SEO-optimized Naver Blog post creation tailored for Korean-language publishing, focusing on keyword research, content structure, and publish-ready checks. It produces titles, structured body content, image and link recommendations, and a verification checklist to meet Naver’s ranking signals. Use it to speed up producing posts that prioritize dwell time, intent matching, and originality.

How this skill works

The skill parses user options (length, tone, type, image count) and runs targeted keyword research to extract title patterns, long-tail terms, and search intent. It generates a full post following Naver SEO guidelines: title placement, H2/H3 structure, keyword distribution, image recommendations, internal/external link slots, and CTAs to drive comments and followers. Finally it validates the draft against a checklist (word count, headings, keyword usage, media and CTA presence) and outputs a publish-ready package.

When to use it

  • When you need a Naver-optimized blog post based on a specific keyword or topic
  • To transform product reviews, how-tos, lists, or informational guides into high-quality posts
  • When preparing content that must meet Naver’s dwell-time and originality criteria
  • Before publishing to ensure title limits, keyword placement, and media requirements are met
  • When you want a quick SEO audit and checklist for an existing draft

Best practices

  • Include real experience or firsthand details—D.I.A+ favors experiential content
  • Keep titles under 40 characters with the main keyword at the front
  • Write at least 1,200 characters (1,200–3,000 depending on length option) and use 3+ H2/H3 headings
  • Place 3+ images with descriptive filenames and alt text; first image before or after the opening paragraph
  • Add 1–3 internal links and 1–2 authoritative external links; include a comment/neighbor CTA at the end

Example use cases

  • Generate a 2,000-character professional review of 'MacBook Pro M3' with media and checklist
  • Create a how-to guide with numbered steps and scroll-inducing mid-article questions
  • Produce a list post (top N) with comparison points and recommended publishing times
  • Audit an existing Naver draft for keyword density, heading count, and missing CTA/media slots
  • Build a publish plan that includes tag suggestions, best posting time, and external sharing checklist

FAQ

Yes. It prioritizes recent guidance and can incorporate updated web-sourced insights into the output when available.

How does it avoid low-quality or duplicated content penalties?

It enforces originality by recommending experience-based content, limits keyword repetition, requires specific facts (dates, numbers, places), and includes a pre-publish checklist to prevent common low-quality signals.

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