
Geo Content Optimizer
Rewrite landing pages and docs so AI search engines and assistants can cite your product with clear definition, statistic, and authority blocks.
Install
npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill geo-content-optimizerWhat is this skill?
- Platform comparison matrix for Google AI Overviews, ChatGPT, Perplexity, and Claude (freshness, authority, structure, ci
- Universal citation factors: factual density, E-E-A-T, query intent match, and quotable standalone sentences
- Template blocks for definitions, statistics, and structured lists tuned for extraction and citation
- Explicit caveat that patterns are heuristic—not live benchmarks—so you validate claims before shipping copy
- Scannable hierarchy guidance (headings, tables, short paragraphs) aligned with high structure weight on Perplexity-style
Adoption & trust: 4.2k installs on skills.sh; 2.1k GitHub stars; 2/3 security scanners passed (skills.sh audits).
Recommended Skills
Journey fit
GEO sits on the launch shelf because visibility in AI overviews and answer engines is the primary outcome after you have something to promote. The skill encodes AI-citation heuristics and scannable block patterns—the core of generative-engine optimization work in Prism’s launch → geo lane.
Common Questions / FAQ
Is Geo Content Optimizer safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Geo Content Optimizer
# AI Citation Patterns Heuristic patterns for AI visibility work, not a sourced live benchmark; validate with dated observations before making platform-specific claims. ## AI System Comparison | Factor | Google AI Overviews | ChatGPT | Perplexity | Claude | |--------|---------------------|---------|------------|--------| | **Freshness bias** | High | Medium | Very high | N/A (training data) | | **Authority weight** | Very high | High | High | High | | **Structure importance** | High | Medium | Very high | Medium | | **Citation count** | 3-8 | 1-6 | 5-10 | N/A | | **Quotable focus** | High | Medium | Very high | High | | **Domain trust** | Very high | High | Medium | High | | **Factual density** | High | High | Very high | Very high | --- ## Universal Citation Factors **Content quality**: Factual accuracy, clear unambiguous language, comprehensive coverage, up-to-date information. **Structure**: Scannable format (headings, lists, tables), logical organization, short paragraphs, clear visual hierarchy. **Authority**: Domain credibility, author credentials, source citations in content, E-E-A-T signals. **Relevance**: Precise match to query intent, topic focus, depth of coverage on specific topic. --- ## Optimal Content Structures for Citation ### Definition Blocks ``` **[Term]** is [clear category] that [primary function], [key characteristic]. ``` Why: Standalone, complete, unambiguous, proper scope. ### Statistic Blocks ``` According to [Source], [specific statistic] as of [timeframe]. ``` Why: Specific, attributed, recent, verifiable. ### Q&A Pairs Use exact question as H2/H3, answer in 40-60 words, then optional supporting detail. Matches AI query patterns directly. ### Comparison Tables Structured rows with specific values, clear labels, and "Best for" recommendations. AI systems parse and cite these readily. ### Step-by-Step Processes Numbered lists with bold action headers and brief explanations. Clear process, actionable, logical sequence. ### Key Insight Callouts `> **Key insight**: [Memorable, quotable statement with attribution]` Visually distinct, authoritative, quotable. --- ## Citation Likelihood Factors **High likelihood**: Authority domain, updated within 12 months, clear standalone statements, specific statistics with dates, structured with headings/lists/tables, comprehensive coverage, author credentials visible, consensus with other sources. **Low likelihood**: Unknown domain, 3+ years old without updates, vague statements, no sources cited, walls of text, thin coverage, promotional tone, factual inconsistencies. --- ## Optimization by Query Type | Query Type | AI Priorities | Optimal Structure | |-----------|--------------|-------------------| | **Informational** ("What is", "How does") | Clear definitions, comprehensive explanations, statistics | Definition first, "why it matters", how it works, examples | | **Comparison** ("X vs Y", "Best") | Comparison tables, pros/cons, recommendations | Table upfront, feature-by-feature, "Choose X if..." | | **How-To** ("How to", "Steps to") | Numbered steps, prerequisites, time estimates | Prerequisites, numbered steps, troubleshooting | | **Statistical** ("How much", "Statistics about") | Specific numbers with sources, recent data, trends | Lead with key stat, source attribution, context, related data | --- ## Optimization Checklist Content ready for AI citation should have: - [ ] At least 3 clear, quotable definitions - [ ] 5+ specific statistics with sources and dates - [ ] Q&A format sections covering top queries - [ ] Comparison tables where relevant - [ ] Numbered lists for processes - [ ] Updated within 12 months - [ ] Author credentials visible - [ ] External citations to authoritative sources - [ ] Clear H2/H3 headings - [ ] Short paragraphs (2-4 sentences) - [ ] No promotional language # AI Overview Recovery Playbook Referenced from [SKILL.md](https://github.com/aaron-he-zhu/seo-geo-claude-skills/blob/main/build/geo-content-optimiz