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
- Keyword clustering: Group related keywords by intent and topic
- SERP analysis: Check top 10 results for each cluster — identify intent, content format, and depth
- Content gap analysis: Find keywords competitors rank for that you don't
- Content brief: Define: target keyword, intent, format (guide/list/comparison), word count benchmark, required subtopics from SERP analysis
- 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
json{ "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
