Claude-skill-registry geo-blog-post

Use when writing or editing a blog post optimized for AI citations — covers post structure, frontmatter patterns, content rules, schema requirements, and a pre-publish GEO checklist based on Princeton research.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/business/geo-blog-post" ~/.claude/skills/majiayu000-claude-skill-registry-geo-blog-post && rm -rf "$T"
manifest: skills/business/geo-blog-post/SKILL.md
source content

GEO-Optimized Blog Post

GEO (Generative Engine Optimization) means structuring content so AI engines (ChatGPT, Perplexity, Claude) cite it when answering user questions. These patterns maximize citation rate based on Princeton research on what AI engines prefer to cite.

Recommended Frontmatter

title: "Post Title (And Practical Benefit)"   # required
date: "2026-04-08"                             # required
summary: "1–2 sentence TL;DR — shown in header and used as meta description"  # required
image: "/images/YYYY-MM-DD-slug.png"           # optional, 1200×628
alt: "Description of hero image"              # optional
lastUpdated: "2026-04-10"                      # optional, show when content is refreshed
author: "Author Name"                          # optional
faq:                                           # strongly recommended — source for FAQPage schema
  - question: "Short question (5–8 words)?"
    answer: "40–65 word plain-text answer. No markdown formatting."

Schema to emit per post: BlogPosting (headline, datePublished, dateModified, author, image) + FAQPage (one Question/Answer per faq entry). Frameworks like Astro can auto-generate from frontmatter; otherwise add JSON-LD manually.

Post Anatomy

Recommended top-to-bottom order:

  1. Byline — date and author
  2. H1 — one per post
  3. TL;DR box
    summary
    displayed prominently at the top
  4. Last updated notice (if content was refreshed)
  5. Hero image with descriptive alt text
  6. Table of contents (generated from headings)
  7. Body
  8. FAQ section — rendered as accordion or static; must also appear in schema
  9. CTA
  10. Author bio with credentials (strengthens E-E-A-T signal)

Article Targets

TargetValue
Body length2,000–3,000 words
H2 sections6–8
H3 subsections per H20–6
Pull quotes1 per post
Comparison table1 (only for "vs" topics)
FAQ pairs6–8
External citations3+ with source links

Section Patterns

Section typeWordsParagraphsPattern
TL;DR40–601Single paragraph, standalone thesis
H2 intro (narrative)100–1803–4Bold lead sentence → supporting paragraphs → bullet list
H2 intro (transitional)20–301One bold sentence bridging to H3s
H3 deep-dive70–1202–3Short intro → bullet list (3–5 items)
H3 numbered tip40–551One sentence + 4–5 bullet items
H3 competitor/profile40–651One paragraph, bold key descriptor inline
FAQ answer40–651Plain text, no formatting

Structural Rules

  1. Bold lead sentences — Every H2 opens with one bold sentence stating the section thesis. H3s may also. Never more than one per section opener.

  2. H2 = narrative arc, H3 = detail — H2 intro is either a full narrative block (100–180 words) or a single transitional sentence (20–30 words) setting up its H3s.

  3. Lists are the workhorse — Most H3s use bullet lists. Bullet items: 8–15 words each. Numbered lists only for sequences or rankings.

  4. One visual break per ~500–700 words — A list, table, blockquote, or image roughly every 500–700 words. No prose block runs more than ~200 words without a break.

  5. FAQ = 6–8 pairs — Questions: 5–8 words. Answers: 40–65 words, plain text only. Must appear in schema, not just the markdown body.

  6. Numbered H3s for actionable sections — Tips/strategies get numbered H3s (

    ### 1. Do X
    ). Each: one sentence + bullets.

  7. Uniform competitor/tool profiles — Exactly one paragraph each (~45–55 words), bold key descriptor inline. No bullets.

Title Pattern

[Topic Explanation] (And [Practical Benefit])

Examples:

  • "How ChatGPT Searches Work (And How to Get Your Brand Found)"
  • "What is AEO Monitoring (And Why Your Brand Needs It)"

Pull Quote Format

> "Quoted text here."
>
> — Author Name, Role at Company

One per post. Place after a key insight lands, not at the top.

Pre-Publish GEO Checklist

Based on Princeton GEO research — each item has a measurable citation lift:

  • External citations (+40%) — link to source for every statistic; no unsourced numbers
  • Statistics present (+37%) — at least 3 specific data points with percentages, counts, or timeframes
  • Pull quote with attribution (+30%) — named expert, not anonymous
  • FAQ in schema (+40%) — 6–8 pairs as FAQPage schema, not just markdown
  • Fresh signal (pages updated within 30 days cited 3.2x more) — set
    lastUpdated
    when refreshing content
  • Internal links — 2+ links to related posts on the same domain
  • Alt text — descriptive, not a filename echo
  • Summary — 1–2 punchy sentences usable as a standalone meta description
  • Author bio — name, role, and credentials visible on the page (E-E-A-T)