seo-aeo-content-strategy
Design content systems that earn both Google rankings *and* AI citations.
Skill by narayan-metaflow
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design, writing, marketing
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/seo-aeo-content-strategy
What's inside
- Skill name
seo-aeo-content-strategy- Description
- Design content systems that earn both Google rankings *and* AI citations. The core insight: AI answer engines read content differently than humans — they extract the highest-information-gain sentences and treat H2 headings as prompts. The "ski ramp" structure optimizes for both.
- License
- MIT
- Instructions
- 274 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- content-brief-template.md · references/
SKILL.md (first lines)
## Why this matters - **Topic clusters drive ~30% more organic traffic and hold rankings 2.5x longer** than standalone content (industry benchmarks, 2025). - **44.2% of all LLM citations come from the first 30% of text** (large-sample ChatGPT citation analysis, ~1.2M pages). The intro carries disproportionate weight — front-load your answer. - **78.4% of citations containing questions come from H2 headings** — LLMs treat H2s as prompts and the following paragraphs as answers. - **Heavily-cited text has ~20.6% entity density** (brand names, tool names, proper nouns) vs. 5-8% for normal English. - **53% of citations come from the middle of a paragraph**, not the first sentence. LLMs extract the sentence with the highest information gain, not the opener. - **Content not updated quarterly is ~3x more likely to lose AI citations** (multi-model freshness benchmarks). - **Brands are 6.5x more likely to be cited via third-party sources** than their own domains (vendor research, Oct 2025). Distribution matters as much as publication. - **Earned media distribution increases AI citations up to 325%** vs publishing only on your own site (syndication research, Dec 2025). All citations above are data-backed. The ski ramp framework has p-value 0.0 (statistically indisputable) in large-sample citation studies. ## Process 1. **Define business goals and audience.** What must the content produce — leads, trials, awareness, authority? Who specifically is the reader, in which intent state? 2. **Map the topic universe.** Core topics (3-7) → subtopics (5-15 per core) → supporting questions (unlimited). This becomes the cluster architecture. 3. **Design cluster architecture.** Pillar pages (broad, 2500+ words, link hub) → cluster pages (specific subtopics, link back to pillar + peers) → supporting content (FAQ, glossary, tools, comparisons). 4. **Audit existing content.** Score every page on the 1-5 matrix below: **keep**, **update**, **consolidate**, **prune**, or identify as a **gap** to create. 5. **Create content briefs with AEO structure baked in.** Use the ski ramp framework by default. See `references/content-brief-template.md` for the complete brief template. 6. **Build the editorial calendar.** Mix new creation with refresh cycles. Assume quarterly review of all priority content. 7. **Define measurement criteria.** What does success look like per content type? Rankings, traffic, AI citations, leads, revenue? ## Frameworks ### Topic cluster design template ``` Pillar page: "The Complete Guide to [Core Topic]" ├── Cluster page 1: "[Specific subtopic]" ├── Cluster page 2: "[Specific subtopic]" ├── Cluster page 3: "[Specific subtopic]" │ ├── Supporting: FAQ │ ├── Supporting: Comparison / vs │ └── Supporting: Tool/calculator └── Cluster page N: ... ``` **Linking rules:** - Every cluster page links back to the pillar (upward) - Pillar links to all clusters (downward) - Clusters cross-link to 2-3 topically related clusters (sideways) - Supporting content links to its parent cluster - Anchor text is descriptive, not "click here" **Sizing:** pillar pages 2,500-5,000 words; cluster pages 1,200-2,500 words; supporting content as needed. These are guides, not targets — write what the topic actually requires. ### Content audit scoring matrix | Score | Label | Action | Criteria | |-------|-------|--------|----------| | **1** | Strong | **Keep / Monitor** | Ranking top 10, driving conversions, recently updated, AI-cited | | **2** | Needs refresh | **Update** | Ranking 11-30, traffic declining, outdated info, structurally sound | | **3** | Duplicative | **Consolidate** | Multiple thin pages on same topic, cannibalizing each other | | **4** | Underperforming | **Prune or rewrite** | Not ranking, no traffic, no backlinks, thin content | | **5** | Gap | **Create** | Topic covered by competitors but missing from our site | **Pruning is not deleting.** A pruned page may be merged into another (301 redirect), rewritten entirely, noindexed (for legal/historical retention), or deleted with a redirect to the most relevant parent page. ### The "Ski Ramp" — AEO content structure **This is the single most important content framework in this skill.** Derived from large-sample ChatGPT citation analysis (p-value 0.0). Apply it to every piece of content meant to earn AI citations. **1. Front-load the answer (first 30% captures 44.2% of citations).** - Put the key claim, definitive answer, or headline finding in the first paragraph. - No throat-clearing intros. No "In this article, we'll explore…" - Write the way a journalist writes a news lede: most important fact first. **2. Use question-based H2 headings (78.4% of question-containing citations come from headings).** - LLMs treat H2s as prompts and the following paragraphs as answers. - Phrase H2s the way a user would ask the question: "How long does SEO take to show results?" not "SEO Timeline Overview." - One topic per H2 section. **3. Follow each H2 with a direct, definitive answer.** - No hedging. "Teams that publish twice a week see 2.3x more traffic" beats "Publishing frequency may help traffic." - The direct answer goes in the first 1-2 sentences after the heading. Supporting detail follows. - LLMs penalize hedging language in the extraction pass. **4. High entity density (~20%).** - Use specific brand names, tool names, numbers, dates, proper nouns. - "Increase budget by 15% in Q3" beats "increase budget in the second half of the year." - Dates and numbers are universal citation positives — include real ones whenever possible. **5. The middle of paragraphs matters.** - 53% of citations come from mid-paragraph, not the opening sentence. - Put the information gain — the specific, concrete, citable fact — somewhere in the middle of a 3-5 sentence paragraph, after context and before the transition. **6. Include a summary/conclusion section (the "wake-up" zone).** - The last 10% of content before the footer sees a citation bump. - A short summary or "Key takeaways" block captures this. **What NOT to do:** - Don't artificially stuff entities or brand names — modern LLMs detect this and it damages trust signals. - Don't build content just to be "summarizable." Large-sample work: making content summarizable alone doesn't make earning citations easier. Information gain and entity clarity do. - Don't use clickbait H2s that don't match the question a user would actually ask. The AI matches on semantic intent, not clever copy. ### Content brief template (summary) Core fields every brief should include: | Field | Notes | |-------|-------| | Target keyword cluster | Primary + 5-15 supporting | | Search intent | Informational / commercial / transactional / navigational | | Fan-out sub-queries | From seo-keyword-research skill | | Target word count | Based on top-10 SERP average + 20% | | H1 | Primary topic, natural phrasing, includes target KW | | H2 structure | **Question-based**, one topic each, sequenced by the user journey | | First-paragraph key claim | The specific answer/finding to front-load | | Key entities | Named brands, tools, people, places, dates, numbers to include | | Internal links | To pillar (required) + 2-3 related clusters + supporting content | | External citations | Primary sources, data, expert quotes | | Schema type | Article, FAQPage, HowTo, Product, etc. | | Competitor content to beat | Top 3-5 currently ranking | | Information gain angle | What new data/insight do we add that nothing else has? | | Named author + credentials | Required for E-E-A-T | See `references/content-brief-template.md` for the complete version with prompts and guidance for each field.
From narayan-metaflow/metaflow-marketing-skills, MIT.
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Signals
- Stars
- 15
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Apr 17, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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seo-aeo-content-strategy skill. Agent Mart. https://agentmart.dev/skills/narayan-metaflow-seo-aeo-content-strategy (last updated 2026-10-24)