$npx -y skills add AgriciDaniel/claude-blog --skill blog-strategyBlog 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
| 1 | # Blog Strategy: Positioning & Content Architecture |
| 2 | |
| 3 | Develops comprehensive blog strategies that build topical authority for |
| 4 | Google rankings while establishing brand presence for AI citation platforms. |
| 5 | Includes topic cluster architecture, AI citation surface strategy, content |
| 6 | scoring targets, and GEO-specific optimization plans. |
| 7 | |
| 8 | **Research discipline references (v1.8.0)**: |
| 9 | - `skills/blog/references/research-quality.md` - 5-dim rubric, pre-flight trap classes, cross-source clustering, freshness floors |
| 10 | - `skills/blog/references/synthesis-contract.md` - 6 LAWs for synthesis output |
| 11 | |
| 12 | **Auto-loaded inputs (v1.8.0)**: when `DISCOURSE.md` exists at the project root (from `/blog discourse`), load it for cross-platform discourse signal alongside this skill's authority-source planning. |
| 13 | |
| 14 | ## Cross-reference |
| 15 | |
| 16 | Strategy 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`. |
| 17 | |
| 18 | For evidence-led audience-avatar, keyword-research, and content-prioritization prompts that feed strategic planning, see `/blog flow find`. |
| 19 | |
| 20 | ## Workflow |
| 21 | |
| 22 | ### Step 1: Discovery |
| 23 | |
| 24 | Gather context through questions or project analysis: |
| 25 | |
| 26 | 1. **Business**: What do you sell/do? Who are your customers? |
| 27 | 2. **Blog goals**: Traffic? Leads? Authority? AI citations? |
| 28 | 3. **Current state**: Existing blog content? (scan if project available) |
| 29 | 4. **Competitors**: Who are your 3-5 main competitors? |
| 30 | 5. **Differentiator**: What unique expertise or data do you have? |
| 31 | 6. **Resources**: Writing capacity (posts/week), budget for visuals? |
| 32 | |
| 33 | ### Step 2: Competitive Landscape |
| 34 | |
| 35 | Research competitors' blogs: |
| 36 | 1. WebSearch for competitor blog URLs |
| 37 | 2. For each competitor, assess: |
| 38 | - Publishing frequency |
| 39 | - Content types (guides, case studies, comparisons, news) |
| 40 | - Visual quality (images, charts, videos) |
| 41 | - Schema usage |
| 42 | - Social distribution (YouTube, Reddit, LinkedIn) |
| 43 | - AI citation presence (search ChatGPT/Perplexity for industry terms) |
| 44 | 3. Identify gaps no competitor covers well |
| 45 | |
| 46 | #### Competitive AI Citation Analysis |
| 47 | |
| 48 | Map competitor visibility across AI platforms. Use WebSearch to find how |
| 49 | competitors appear in AI-generated responses for target keywords. |
| 50 | |
| 51 | ``` |
| 52 | ## Competitive AI Citation Map |
| 53 | | Query | ChatGPT Cites | Perplexity Cites | AI Overview Cites | Gap? | |
| 54 | |-------|--------------|-----------------|-------------------|------| |
| 55 | | [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] | |
| 56 | | [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] | |
| 57 | | [keyword] | [competitor/none] | [competitor/none] | [competitor/none] | [Yes/No] | |
| 58 | ``` |
| 59 | |
| 60 | Score each competitor's AI visibility: |
| 61 | - **High**: Cited in 3/3 platforms for multiple queries |
| 62 | - **Medium**: Cited in 1-2 platforms or for limited queries |
| 63 | - **Low**: Rarely cited, only in niche queries |
| 64 | - **None**: No AI citation presence detected |
| 65 | |
| 66 | Identify AI citation gaps: queries where no competitor is cited. These |
| 67 | represent the highest-opportunity targets for new content. |
| 68 | |
| 69 | Note: only 12% overlap between platforms. A competitor strong on ChatGPT |
| 70 | may be absent from Perplexity. Analyze each platform independently. |
| 71 | |
| 72 | ### Step 3: Audience Mapping |
| 73 | |
| 74 | Define 2-3 audience segments: |
| 75 | |
| 76 | ``` |
| 77 | ### Audience Segment: [Name] |
| 78 | - **Role**: [Job title / description] |
| 79 | - **Pain points**: [What problems do they have?] |
| 80 | - **Search behavior**: [What do they Google?] |
| 81 | - **AI behavior**: [What do they ask ChatGPT/Perplexity?] |
| 82 | - **Content preferences**: [Long guides? Quick answers? Video?] |
| 83 | - **Buying stage**: [Awareness / Consideration / Decision] |
| 84 | ``` |
| 85 | |
| 86 | ### Step 4: Content Pillar Design with Topic Cluster Architecture |
| 87 | |
| 88 | Design 3-5 content pillars based on audience needs and competitive gaps. |
| 89 | For each pillar, build the full hub-and-spoke cluster model. |
| 90 | |
| 91 | ``` |
| 92 | ### Pillar: [Topic Area] |
| 93 | - **Purpose**: Build authority in [topic] |
| 94 | - **Primary keywords**: [3-5 keywords] |
| 95 | - **Content types**: Pillar guide, supporting posts, comparisons, FAQ |
| 96 | - **Unique angle**: [What first-hand experience/data can you provide?] |
| 97 | - **Estimated posts**: [N] to achieve topic coverage |
| 98 | - **AI citation potential**: [High/Medium/Low] - [why] |
| 99 | ``` |
| 100 | |
| 101 | #### Cluster |