\"algo-seo-content\"

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

Input	Expected	Why
Zero search volume keyword	Consider if it's emerging or nonexistent	May be worth targeting if topically relevant
KD > 80 for new site	Target long-tail variants first	New sites can't compete on high-KD terms
Mixed intent SERP	Create content matching dominant intent	Don'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