{"id":"4225056d-7584-4f41-bc0e-a71f3d5a9db1","shortId":"Gx6Uh8","kind":"skill","title":"blog-strategy","tagline":"Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning (YouTube, Reddit, review platforms for GE","description":"# Blog Strategy -- Positioning & Content Architecture\n\nDevelops comprehensive blog strategies that build topical authority for\nGoogle rankings while establishing brand presence for AI citation platforms.\nIncludes topic cluster architecture, AI citation surface strategy, content\nscoring targets, and GEO-specific optimization plans.\n\n## Cross-reference\n\nStrategy planning should consider the FLOW 5-surface model (owned site, SERP plus AI Overviews, AI assistant citations, local pack, communities and video). Local-pack work is delegated to `claude-seo`; everything else lives inside claude-blog. Full mapping in `skills/blog/references/flow-alignment.md`.\n\nFor evidence-led audience-avatar, keyword-research, and content-prioritization prompts that feed strategic planning, see `/blog flow find`.\n\n## Workflow\n\n### Step 1: Discovery\n\nGather context through questions or project analysis:\n\n1. **Business**: What do you sell/do? Who are your customers?\n2. **Blog goals**: Traffic? Leads? Authority? AI citations?\n3. **Current state**: Existing blog content? (scan if project available)\n4. **Competitors**: Who are your 3-5 main competitors?\n5. **Differentiator**: What unique expertise or data do you have?\n6. **Resources**: Writing capacity (posts/week), budget for visuals?\n\n### Step 2: Competitive Landscape\n\nResearch competitors' blogs:\n1. WebSearch for competitor blog URLs\n2. For each competitor, assess:\n   - Publishing frequency\n   - Content types (guides, case studies, comparisons, news)\n   - Visual quality (images, charts, videos)\n   - Schema usage\n   - Social distribution (YouTube, Reddit, LinkedIn)\n   - AI citation presence (search ChatGPT/Perplexity for industry terms)\n3. Identify gaps no competitor covers well\n\n#### Competitive AI Citation Analysis\n\nMap competitor visibility across AI platforms. Use WebSearch to find how\ncompetitors appear in AI-generated responses for target keywords.\n\n```\n## Competitive AI Citation Map\n| Query | ChatGPT Cites | Perplexity Cites | AI Overview Cites | Gap? |\n|-------|--------------|-----------------|-------------------|------|\n| [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] |\n| [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] |\n| [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] |\n```\n\nScore each competitor's AI visibility:\n- **High**: Cited in 3/3 platforms for multiple queries\n- **Medium**: Cited in 1-2 platforms or for limited queries\n- **Low**: Rarely cited, only in niche queries\n- **None**: No AI citation presence detected\n\nIdentify AI citation gaps -- queries where no competitor is cited. These\nrepresent the highest-opportunity targets for new content.\n\nNote: Only 12% overlap between platforms -- a competitor strong on ChatGPT\nmay be absent from Perplexity. Analyze each platform independently.\n\n### Step 3: Audience Mapping\n\nDefine 2-3 audience segments:\n\n```\n### Audience Segment: [Name]\n- **Role**: [Job title / description]\n- **Pain points**: [What problems do they have?]\n- **Search behavior**: [What do they Google?]\n- **AI behavior**: [What do they ask ChatGPT/Perplexity?]\n- **Content preferences**: [Long guides? Quick answers? Video?]\n- **Buying stage**: [Awareness / Consideration / Decision]\n```\n\n### Step 4: Content Pillar Design with Topic Cluster Architecture\n\nDesign 3-5 content pillars based on audience needs and competitive gaps.\nFor each pillar, build the full hub-and-spoke cluster model.\n\n```\n### Pillar: [Topic Area]\n- **Purpose**: Build authority in [topic]\n- **Primary keywords**: [3-5 keywords]\n- **Content types**: Pillar guide, supporting posts, comparisons, FAQ\n- **Unique angle**: [What first-hand experience/data can you provide?]\n- **Estimated posts**: [N] to achieve topic coverage\n- **AI citation potential**: [High/Medium/Low] - [why]\n```\n\n#### Cluster Architecture Design\n\nFor each pillar, design the complete hub-and-spoke structure:\n\n```\n### Cluster Architecture: [Pillar Topic]\n\n                    ┌──────────────────┐\n                    │   Pillar Page    │\n                    │   3,000-4,000w   │\n                    └────────┬─────────┘\n                             │\n           ┌─────────────────┼──────────────────┐\n           │                 │                   │\n    ┌──────▼──────┐   ┌─────▼──────┐   ┌───────▼──────┐\n    │  Spoke #1   │   │  Spoke #2  │   │   Spoke #3   │\n    │  1,500-2,500│   │  1,500-2,500│  │  1,500-2,500 │\n    └──────┬──────┘   └─────┬──────┘   └───────┬──────┘\n           │                │                   │\n           └────────────────┼───────────────────┘\n                    (cross-links between spokes)\n```\n\nFor each cluster, specify:\n- **8-12 spoke topics** per pillar, each targeting a specific long-tail keyword\n- **Internal linking plan** between all cluster pages (every spoke links to pillar, pillar links to all spokes, spokes cross-link to related spokes)\n- **Content template assignment** for each piece from the 12 available templates:\n  `how-to-guide`, `listicle`, `case-study`, `comparison`, `pillar-page`,\n  `product-review`, `thought-leadership`, `roundup`, `tutorial`,\n  `news-analysis`, `data-research`, `faq-knowledge`\n\n```\n### Cluster Build Plan: [Pillar Topic]\n| # | Spoke Topic | Template | Target Keyword | Word Count | Internal Links |\n|---|------------|----------|---------------|-----------|----------------|\n| P | [Pillar title] | pillar-page | [keyword] | 3,000-4,000 | Links to all spokes |\n| 1 | [Spoke title] | how-to-guide | [keyword] | 1,500-2,500 | Pillar + Spokes 2,3 |\n| 2 | [Spoke title] | comparison | [keyword] | 1,500-2,500 | Pillar + Spokes 1,3 |\n| 3 | [Spoke title] | listicle | [keyword] | 1,500-2,500 | Pillar + Spokes 1,2 |\n| ... | ... | ... | ... | ... | ... |\n```\n\nReference: `references/internal-linking.md` for hub-and-spoke model and anchor text rules.\n\n### Step 5: Differentiation Strategy\n\nThe December 2025 Core Update rewards first-hand experience. Plan\nhow to demonstrate genuine expertise:\n\n| Signal Type | Implementation |\n|-------------|---------------|\n| Original data | Conduct surveys, analyze proprietary data, run experiments |\n| Case studies | Document real client/project results with metrics |\n| Build in public | Share process, learnings, and failures transparently |\n| Expert interviews | Feature practitioners with first-hand knowledge |\n| Tool reviews | Test products personally, share screenshots and results |\n| Industry analysis | Provide unique perspective on public data |\n\n### Step 5.5: AI Citation Surface Strategy\n\nPlan how to maximize AI citation across platforms. 80% of LLM citations\ncome from outside the top 100 organic results -- traditional SEO alone\nis insufficient.\n\n#### On-Site Optimization\n\nStructure every piece of content for AI citability:\n- Every H2 opens with an answer-first paragraph (40-60 words with stat + source)\n- **Citation capsules**: 40-60 word self-contained passages per H2 section\n- **Q&A format**: 60-70% of H2 headings phrased as questions\n- **FAQ sections** with schema markup on every post\n- **Entity clarity**: consistent terminology throughout (no synonym variation for key concepts)\n- **Structured data**: JSON-LD for Article, FAQ, HowTo, and Review schemas\n\n#### Off-Site Presence (Critical -- 88-92% of AI citations from off-site)\n\n| Channel | AI Citation Impact | Priority Action |\n|---------|-------------------|-----------------|\n| YouTube | 0.737 correlation (strongest) | Companion videos for pillar posts |\n| Reddit | 450% citation surge | Authentic participation in 3-5 subreddits |\n| Review platforms | 2.6-3.5x multiplier | Maintain profiles on G2, Capterra (B2B) |\n| Wikipedia/Wikidata | Credibility tiebreaker | Build notability, create Wikidata entry |\n| Industry publications | Tier 2-3 citation source | Guest posts, expert commentary |\n\n#### Cross-Platform Monitoring\n\n- Track brand mentions in ChatGPT, Perplexity, Google AI Overviews\n- Only 12% overlap between platforms -- optimize for each separately\n- 80% of LLM citations come from outside the top 100 organic results\n- Monitor monthly: search 10-20 target queries on each platform, log citations\n\nReference: `references/geo-optimization.md` for detailed GEO tactics.\n\n### Step 5.6: Content Scoring Targets\n\nSet quality standards that all blog content must meet:\n\n```\n### Content Quality Standards\n| Metric | Target | Measured By |\n|--------|--------|-------------|\n| Blog quality score | 80+ | `/blog analyze` |\n| E-E-A-T compliance | Named author + 8+ tier 1-3 sources | Manual review |\n| AI citation readiness | Answer-first + FAQ + citation capsules | `/blog analyze` |\n| Visual minimum | 2+ charts + 3+ images per post | Asset count |\n| Internal links | 5+ per post (within cluster) | Link audit |\n| Schema markup | Article + FAQ + relevant type | Structured data test |\n| Word count | 1,500+ for spokes, 3,000+ for pillars | Word count tool |\n```\n\nEvery post should be scored before publishing. Posts below 80 quality score\nshould be revised before going live.\n\n### Step 5.7: GEO-Specific Strategy\n\nPlan passage-level citability across all content, tailored to each AI platform.\n\n| AI Platform | Favors | Optimization Focus |\n|-------------|--------|-------------------|\n| ChatGPT | Recency, brand authority, conversational clarity | Update posts within 30 days, clear entity definitions |\n| Perplexity | Citations, source diversity, structured answers | Tier 1-3 sources, numbered lists, data tables |\n| Google AI Overviews | Structured data, schema, topical authority | FAQ schema, HowTo schema, complete topic clusters |\n\nStrategy by platform:\n- **ChatGPT**: Ensure brand name appears consistently, maintain 30-day freshness, use conversational answer-first formatting\n- **Perplexity**: Maximize external citation count (8+ per post), use structured data tables, cite authoritative sources\n- **AI Overviews**: Complete topic cluster coverage, implement all relevant schema types, achieve featured snippet format\n\nReference: `references/geo-optimization.md` for platform-specific optimization guides.\n\n### Step 6: Distribution Channel Strategy\n\nAI visibility requires off-site presence (88-92% of AI citations come\nfrom off-site signals). Plan brand presence:\n\n| Channel | AI Impact | Strategy |\n|---------|-----------|----------|\n| YouTube | 0.737 correlation (strongest) | Companion videos for pillar posts, how-tos, demos |\n| Reddit | 450% citation surge | Authentic participation in 3-5 subreddits, share insights not links |\n| Review platforms | 2.6-3.5x citation multiplier | Maintain profiles on G2, Capterra, TrustRadius (B2B) |\n| Wikipedia/Wikidata | Credibility tiebreaker | Build notability through earned media, create Wikidata entry |\n| Industry publications | Tier 2-3 citation source | Guest posts, expert commentary, study contributions |\n| Social media | Brand mentions | LinkedIn thought leadership, Twitter/X insights |\n\nBudget allocation recommendation: **40% owned content / 60% earned media and distribution**.\n\nReference: `references/distribution-playbook.md` for detailed channel tactics and templates.\n\n### Step 7: Measurement Framework\n\n```\n### Metrics to Track\n\n#### Traditional SEO\n- Organic traffic (monthly)\n- Keyword rankings (top 10, top 3)\n- Domain authority / Domain Rating\n- Internal link coverage\n- Core Web Vitals\n\n#### AI Citation Metrics (New)\n- Share of Voice in ChatGPT responses (manual tracking)\n- AI Overview citation rate (Google Search Console)\n- Perplexity mentions (manual tracking)\n- AI referral traffic (GA4: source contains chatgpt, perplexity, claude)\n- Brand mention volume (branded search + web mentions)\n\n#### Content Quality\n- Blog quality score via `/blog analyze` (target: 80+)\n- Content freshness (% of posts updated within 30 days)\n- Visual element coverage (charts + images per post)\n- Citation tier quality (% tier 1-3 sources)\n\n#### Business Impact\n- Blog-attributed leads/conversions\n- Email subscribers from blog\n- Content-assisted revenue\n```\n\n### Step 8: Generate Strategy Document\n\nOutput format:\n\n```\n# Blog Strategy: [Business Name]\n\n## Executive Summary\n[2-3 sentences on the strategic direction]\n\n## Audience\n[Segment summaries]\n\n## Content Pillars & Cluster Architecture\n[3-5 pillars with full hub-and-spoke cluster plans]\n[Internal linking map for each cluster]\n[Template assignments for each piece]\n\n## Competitive Positioning\n[How we differentiate - what unique value we bring]\n[Competitive AI Citation Map showing gaps to exploit]\n\n## AI Citation Surface Strategy\n[On-site optimization checklist]\n[Off-site presence plan with priority channels]\n[Platform-specific GEO tactics]\n\n## Content Quality Standards\n[Scoring targets for all content]\n[E-E-A-T compliance requirements]\n\n## Distribution Channels\n[Priority channels with specific tactics]\n\n## Content Velocity\n- New posts: [N]/week\n- Freshness updates: [N]/month\n- Visual elements: [N] charts + [N] images per post\n\n## 90-Day Roadmap\n### Month 1: Foundation\n- [ ] Publish [Pillar 1] guide + [N] supporting spokes\n- [ ] Set up YouTube channel / Reddit profiles\n- [ ] Establish measurement dashboard\n- [ ] Complete competitive AI citation audit\n\n### Month 2: Expansion\n- [ ] Publish [Pillar 2] guide + [N] supporting spokes\n- [ ] First freshness update cycle\n- [ ] Begin Reddit/YouTube distribution\n- [ ] Launch off-site presence on review platforms\n\n### Month 3: Optimization\n- [ ] Audit all posts with `/blog analyze` (target: 80+ score)\n- [ ] Optimize lowest-scoring posts\n- [ ] Publish [Pillar 3] guide\n- [ ] Review AI citation metrics across all platforms\n- [ ] Adjust strategy based on data\n\n## Measurement\n[KPIs and tracking approach - traditional SEO + AI citation metrics]\n\n## Reference Documents\n- `references/internal-linking.md` - Hub-and-spoke model, anchor text rules\n- `references/distribution-playbook.md` - Channel tactics and templates\n- `references/geo-optimization.md` - GEO platform-specific optimization\n- `references/content-templates.md` - 12 content templates with structures\n\n## Next Steps\n1. Run `/blog calendar` to create the first month's editorial calendar\n2. Run `/blog brief` for the first pillar page\n3. Run `/blog write` to generate the first article\n4. Set up AI citation monitoring for target queries\n```","tags":["blog","strategy","claude","agricidaniel","agent-skills","ai-citations","ai-content","ai-marketing","ai-marketing-hub","blog-writing","claude-code","claude-code-skill"],"capabilities":["skill","source-agricidaniel","skill-blog-strategy","topic-agent-skills","topic-ai-citations","topic-ai-content","topic-ai-marketing","topic-ai-marketing-hub","topic-blog","topic-blog-writing","topic-claude-code","topic-claude-code-skill","topic-claude-plugin","topic-claude-skill","topic-content-creation"],"categories":["claude-blog"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/AgriciDaniel/claude-blog/blog-strategy","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add AgriciDaniel/claude-blog","source_repo":"https://github.com/AgriciDaniel/claude-blog","install_from":"skills.sh"}},"qualityScore":"0.700","qualityRationale":"deterministic score 0.70 from registry signals: · indexed 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