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asgard-ai-platformasgard-ai-platform/skills/algo-seo-content/SKILL.md

algo-seo-content

Skill238 starsChanged 6 months agoMITView on GitHub

Execute content SEO strategy from keyword research through content planning, writing, and on-page optimization. Use this skill when the user needs to create SEO-optimized content, perform keyword research, identify content gaps, or improve existing content rankings — even if they say 'content strategy', 'keyword research', or 'how to rank for this topic'.

The file

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4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

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  • Common
  • Distinctive
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  1. Distinctive:

    When the issue is technical (page speed, crawlability) — use technical SEO

    line 23
  2. Distinctive:

    When the issue is off-page (backlinks, authority) — use backlink analysis

    line 24
  3. Distinctive:

    SERP analysis: Check top 10 results for each cluster — identify intent, content format, and depth

    line 45
  4. Distinctive:

    Check: title contains primary keyword, intent matches SERP, all key subtopics covered, internal links to related content.

    line 51

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content SEO Strategy

Overview

Content SEO is the systematic process of creating and optimizing content to match search intent and rank organically. The pipeline: keyword research → intent mapping → content creation → on-page optimization → performance monitoring. Success depends on intent match, not keyword density.

When to Use

Trigger conditions:

  • Planning new content to capture organic search traffic
  • Optimizing existing underperforming content
  • Conducting keyword research and content gap analysis

When NOT to use:

  • When the issue is technical (page speed, crawlability) — use technical SEO
  • When the issue is off-page (backlinks, authority) — use backlink analysis

Algorithm

IRON LAW: Content Must Match SEARCH INTENT
A perfectly optimized page targeting the wrong intent will NOT rank.
Four intent types:
1. Informational — wants to learn ("how to", "what is")
2. Navigational — wants a specific site ("github login")
3. Commercial — comparing options ("best CRM 2025")
4. Transactional — wants to buy/do ("buy iPhone 16 case")
Check SERP results to determine actual intent before writing.

Phase 1: Input Validation

Define target topic/niche. Gather seed keywords from brainstorming, competitor analysis, and tools (Ahrefs, SEMrush, Google Keyword Planner). Gate: Seed keyword list with search volume and difficulty estimates.

Phase 2: Core Algorithm

  1. Keyword clustering: Group related keywords by intent and topic
  2. SERP analysis: Check top 10 results for each cluster — identify intent, content format, and depth
  3. Content gap analysis: Find keywords competitors rank for that you don't
  4. Content brief: Define: target keyword, intent, format (guide/list/comparison), word count benchmark, required subtopics from SERP analysis
  5. On-page optimization: Title tag (keyword front-loaded), meta description, H1/H2 structure, internal links, image alt text

Phase 3: Verification

Check: title contains primary keyword, intent matches SERP, all key subtopics covered, internal links to related content. Gate: Content matches identified intent and covers SERP-derived subtopics.

Phase 4: Output

Return content brief and optimization checklist.

Output Format

{
  "content_brief": {"primary_keyword": "...", "intent": "informational", "format": "how-to guide", "target_word_count": 2000, "subtopics": ["...", "..."]},
  "optimization": {"title": "...", "meta_description": "...", "h2_structure": ["...", "..."], "internal_links": 5},
  "metadata": {"search_volume": 2400, "keyword_difficulty": 35}
}

Examples

Sample I/O

Input: Topic "email marketing automation", target market: Taiwan SMBs Expected: Primary KW: "email行銷自動化", intent: commercial investigation, format: comparison guide, 2500 words

Edge Cases

InputExpectedWhy
Zero search volume keywordConsider if it's emerging or nonexistentMay be worth targeting if topically relevant
KD > 80 for new siteTarget long-tail variants firstNew sites can't compete on high-KD terms
Mixed intent SERPCreate content matching dominant intentDon't try to serve all intents in one page

Gotchas

  • Keyword density is dead: There's no optimal keyword density. Write naturally. Forced keyword insertion hurts readability and may trigger spam signals.
  • Search volume ≠ traffic: A #1 ranking for a 10K volume keyword won't bring 10K visits. Click-through rates vary by SERP features (ads, featured snippets, PAA).
  • Content freshness: Some queries demand fresh content (e.g., "best laptop 2025"). Outdated content drops rankings even if it once ranked #1.
  • Cannibalization: Multiple pages targeting the same keyword compete with each other. One strong page outperforms three mediocre ones.
  • E-E-A-T: For YMYL topics (health, finance), Google requires demonstrated Experience, Expertise, Authority, and Trust. Anonymous content won't rank.

References

  • For keyword clustering methodology, see references/keyword-clustering.md
  • For content brief templates, see references/content-brief-template.md

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