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 GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
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 GEO), content scoring targets, measurement framework, and content differentiation through original research and first-hand experience. Use when user says "blog strategy", "content strategy", "blog positioning", "what should I blog about", "blog topics", "content pillars", "blog ideation".
user-invokable
true
argument-hint
<niche>
license
MIT
id
blog-strategy
domain
content
invoked_by
["blog-researcher"]
depends_on
[]
Blog Strategy: Positioning & Content Architecture
Develops comprehensive blog strategies that build topical authority for
Google rankings while establishing brand presence for AI citation platforms.
Includes topic cluster architecture, AI citation surface strategy, content
scoring targets, and GEO-specific optimization plans.
skills/blog/references/synthesis-contract.md - 6 LAWs for synthesis output
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.
Cross-reference
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 antigravity-seo; everything else lives inside antigravity-blog. Full mapping in skills/blog/references/flow-alignment.md.
For evidence-led audience-avatar, keyword-research, and content-prioritization prompts that feed strategic planning, see /blog flow find.
Workflow
Step 1: Discovery
Gather context through questions or project analysis:
Business: What do you sell/do? Who are your customers?
Blog goals: Traffic? Leads? Authority? AI citations?
Current state: Existing blog content? (scan if project available)
Competitors: Who are your 3-5 main competitors?
Differentiator: What unique expertise or data do you have?
Resources: Writing capacity (posts/week), budget for visuals?
Step 2: Competitive Landscape
Research competitors' blogs:
WebSearch for competitor blog URLs
For each competitor, assess:
Publishing frequency
Content types (guides, case studies, comparisons, news)
Visual quality (images, charts, videos)
Schema usage
Social distribution (YouTube, Reddit, LinkedIn)
AI citation presence (search ChatGPT/Perplexity for industry terms)
Identify gaps no competitor covers well
Competitive AI Citation Analysis
Map competitor visibility across AI platforms. Use WebSearch to find how
competitors appear in AI-generated responses for target keywords.
8-12 spoke topics per pillar, each targeting a specific long-tail keyword
Internal linking plan between all cluster pages (every spoke links to pillar, pillar links to all spokes, spokes cross-link to related spokes)
Content template assignment for each piece from the 12 available templates:
how-to-guide, listicle, case-study, comparison, pillar-page,
product-review, thought-leadership, roundup, tutorial,
news-analysis, data-research, faq-knowledge
Reference: references/internal-linking.md for hub-and-spoke model and anchor text rules.
Step 5: Differentiation Strategy
The December 2025 Core Update rewards first-hand experience. Plan
how to demonstrate genuine expertise:
Signal Type
Implementation
Original data
Conduct surveys, analyze proprietary data, run experiments
Case studies
Document real client/project results with metrics
Build in public
Share process, learnings, and failures transparently
Expert interviews
Feature practitioners with first-hand knowledge
Tool reviews
Test products personally, share screenshots and results
Industry analysis
Provide unique perspective on public data
Step 5.5: AI Citation Surface Strategy
Plan how to maximize AI citation across platforms. 80% of LLM citations
come from outside the top 100 organic results. Traditional SEO alone
is insufficient.
On-Site Optimization
Structure every piece of content for AI citability:
Every H2 opens with an answer-first paragraph (40-60 words with stat + source)
Citation capsules: 40-60 word self-contained passages per H2 section
Q&A format: 60-70% of H2 headings phrased as questions
FAQ sections with schema markup on every post
Entity clarity: consistent terminology throughout (no synonym variation for key concepts)
Structured data: JSON-LD for Article, FAQ, HowTo, and Review schemas
Off-Site Presence (Critical: 88-92% of AI citations from off-site)
Channel
AI Citation Impact
Priority Action
YouTube
0.737 correlation (strongest)
Companion videos for pillar posts
Reddit
450% citation surge
Authentic participation in 3-5 subreddits
Review platforms
2.6-3.5x multiplier
Maintain profiles on G2, Capterra (B2B)
Wikipedia/Wikidata
Credibility tiebreaker
Build notability, create Wikidata entry
Industry publications
Tier 2-3 citation source
Guest posts, expert commentary
Cross-Platform Monitoring
Track brand mentions in ChatGPT, Perplexity, Google AI Overviews
Only 12% overlap between platforms; optimize for each separately
80% of LLM citations come from outside the top 100 organic results
Monitor monthly: search 10-20 target queries on each platform, log citations
Reference: references/geo-optimization.md for detailed GEO tactics.
Step 5.6: Content Scoring Targets
Set quality standards that all blog content must meet:
### Content Quality Standards
| Metric | Target | Measured By |
|--------|--------|-------------|
| Blog quality score | 80+ | `/blog analyze` |
| E-E-A-T compliance | Named author + 8+ tier 1-3 sources | Manual review |
| AI citation readiness | Answer-first + FAQ + citation capsules | `/blog analyze` |
| Visual minimum | 2+ charts + 3+ images per post | Asset count |
| Internal links | 5+ per post (within cluster) | Link audit |
| Schema markup | Article + FAQ + relevant type | Structured data test |
| Word count | 1,500+ for spokes, 3,000+ for pillars | Word count tool |
Every post should be scored before publishing. Posts below 80 quality score
should be revised before going live.
Step 5.7: GEO-Specific Strategy
Plan passage-level citability across all content, tailored to each AI platform.
AI Platform
Favors
Optimization Focus
ChatGPT
Recency, brand authority, conversational clarity
Update posts within 30 days, clear entity definitions
Perplexity
Citations, source diversity, structured answers
Tier 1-3 sources, numbered lists, data tables
Google AI Overviews
Structured data, schema, topical authority
FAQ schema, HowTo schema, complete topic clusters
Strategy by platform:
ChatGPT: Ensure brand name appears consistently, maintain 30-day freshness, use conversational answer-first formatting
Perplexity: Maximize external citation count (8+ per post), use structured data tables, cite authoritative sources
AI Overviews: Complete topic cluster coverage, implement all relevant schema types, achieve featured snippet format
Reference: references/geo-optimization.md for platform-specific optimization guides.
Step 6: Distribution Channel Strategy
AI visibility requires off-site presence (88-92% of AI citations come
from off-site signals). Plan brand presence:
Channel
AI Impact
Strategy
YouTube
0.737 correlation (strongest)
Companion videos for pillar posts, how-tos, demos
Reddit
450% citation surge
Authentic participation in 3-5 subreddits, share insights not links
Review platforms
2.6-3.5x citation multiplier
Maintain profiles on G2, Capterra, TrustRadius (B2B)
Wikipedia/Wikidata
Credibility tiebreaker
Build notability through earned media, create Wikidata entry
Industry publications
Tier 2-3 citation source
Guest posts, expert commentary, study contributions
Social media
Brand mentions
LinkedIn thought leadership, Twitter/X insights
Budget allocation recommendation: 40% owned content / 60% earned media and distribution.
Reference: references/distribution-playbook.md for detailed channel tactics and templates.
Step 7: Measurement Framework
### Metrics to Track
#### Traditional SEO
- Organic traffic (monthly)
- Keyword rankings (top 10, top 3)
- Domain authority / Domain Rating
- Internal link coverage
- Core Web Vitals
#### AI Citation Metrics (New)
- Share of Voice in ChatGPT responses (manual tracking)
- AI Overview citation rate (Google Search Console)
- Perplexity mentions (manual tracking)
- AI referral traffic (GA4: source contains chatgpt, perplexity, antigravity)
- Brand mention volume (branded search + web mentions)
#### Content Quality
- Blog quality score via `/blog analyze` (target: 80+)
- Content freshness (% of posts updated within 30 days)
- Visual element coverage (charts + images per post)
- Citation tier quality (% tier 1-3 sources)
#### Business Impact
- Blog-attributed leads/conversions
- Email subscribers from blog
- Content-assisted revenue
Step 8: Generate Strategy Document
Output format:
# Blog Strategy: [Business Name]
## Executive Summary
[2-3 sentences on the strategic direction]
## Audience
[Segment summaries]
## Content Pillars & Cluster Architecture
[3-5 pillars with full hub-and-spoke cluster plans]
[Internal linking map for each cluster]
[Template assignments for each piece]
## Competitive Positioning
[How we differentiate - what unique value we bring]
[Competitive AI Citation Map showing gaps to exploit]
## AI Citation Surface Strategy
[On-site optimization checklist]
[Off-site presence plan with priority channels]
[Platform-specific GEO tactics]
## Content Quality Standards
[Scoring targets for all content]
[E-E-A-T compliance requirements]
## Distribution Channels
[Priority channels with specific tactics]
## Content Velocity
- New posts: [N]/week
- Freshness updates: [N]/month
- Visual elements: [N] charts + [N] images per post
## 90-Day Roadmap
### Month 1: Foundation
- [ ] Publish [Pillar 1] guide + [N] supporting spokes
- [ ] Set up YouTube channel / Reddit profiles
- [ ] Establish measurement dashboard
- [ ] Complete competitive AI citation audit
### Month 2: Expansion
- [ ] Publish [Pillar 2] guide + [N] supporting spokes
- [ ] First freshness update cycle
- [ ] Begin Reddit/YouTube distribution
- [ ] Launch off-site presence on review platforms
### Month 3: Optimization
- [ ] Audit all posts with `/blog analyze` (target: 80+ score)
- [ ] Optimize lowest-scoring posts
- [ ] Publish [Pillar 3] guide
- [ ] Review AI citation metrics across all platforms
- [ ] Adjust strategy based on data
## Measurement
[KPIs and tracking approach - traditional SEO + AI citation metrics]
## Reference Documents
- `references/internal-linking.md` - Hub-and-spoke model, anchor text rules
- `references/distribution-playbook.md` - Channel tactics and templates
- `references/geo-optimization.md` - GEO platform-specific optimization
- `references/content-templates.md` - 12 content templates with structures
## Next Steps
1. Run `/blog calendar` to create the first month's editorial calendar
2. Run `/blog brief` for the first pillar page
3. Run `/blog write` to generate the first article
4. Set up AI citation monitoring for target queries
