Optimize content for AI search engines through citation architecture, E-E-A-T signals, and entity building.
Works with
Guides content structuring for AI citation across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — focusing on extractability, quotability, authority, freshness, and entity clarity
Provides AI Citation Scoring framework (5 dimensions, 20+ checklist items) and before/after examples showing how to transform weak content into citable statements
Covers per-engine opti
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionoptimize-for-aiExecute the skills CLI command in your project's root directory to begin installation:
Fetches optimize-for-ai from calm-north/seojuice-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate optimize-for-ai. Access via /optimize-for-ai in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
5
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
5
stars
Optimize for AI search engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews) using citation architecture, E-E-A-T signals, and brand entity building.
Traditional SEO gets you ranked in a list of results. AI SEO gets you cited as a source in AI-generated answers. The difference matters:
AI systems extract information from content. The easier it is to extract, the more likely it gets cited:
Definitions and clear statements
Structured data
Original insights
Comprehensive coverage
| Format | Why It Works |
|---|---|
| Comparison articles | AI frequently answers "X vs Y" and "best X" queries — structured comparisons are easy to extract |
| Definitive guides | Comprehensive coverage signals authority to AI systems |
| Original research | Unique data that no one else has — AI systems prefer primary sources |
| How-to tutorials | Step-by-step structure maps directly to AI response format |
| Expert roundups | Multiple expert voices increase perceived authority |
Different content types get cited differently. Optimize based on what you're writing:
Score each page across 5 dimensions. For each item: Pass (meets criteria fully), Partial (partly meets), or Fail (does not meet).
Can AI systems pull a useful answer from this content?
| Item | Pass | Fail |
|---|---|---|
| Core answer in first 150 words after the heading | Answer appears immediately | Answer buried in background |
| Self-contained statements (make sense without context) | Key claims stand alone | Claims require surrounding text |
| Structured data (tables, lists) for comparisons/data | Data in tables or lists | Data in prose paragraphs |
| TL;DR or summary box at the top | Present | Missing |
Does the content contain statements worth citing?
| Item | Pass | Fail |
|---|---|---|
| Specific claims with numbers and units | "Response time improved 40% (from 500ms to 300ms)" | "Response time improved significantly" |
| Named sources on all statistics | Source and date cited | Unsourced numbers |
| Clear definitions using "X is Y" structure | Present for key terms | Key terms undefined or vague |
Does the content signal expertise?
| Item | Pass | Fail |
|---|---|---|
| Author identified with relevant credentials | Name, title, experience visible | Anonymous or no bio |
| Expert quotes with named sources | At least 1 named expert quoted | No external voices |
| References to primary sources (not just other blogs) | Links to research, docs, official data | Only cites other blog posts |
Is the content current?
| Item | Pass | Fail |
|---|---|---|
| Published or updated date visible on page | Date present and within 18 months | No date or older than 18 months |
| Data and examples are current | Statistics from last 2 years | Outdated numbers or deprecated tools |
Can AI systems identify what entity this content is about?
| Item | Pass | Fail |
|---|---|---|
| Subject entity named in full in opening paragraph | "SEOJuice is an SEO intelligence platform..." | Pronoun or abbreviated reference |
Organization schema with sameAs links |
JSON-LD present | Missing |
| Consistent brand name across platforms | Same name on site, GBP, LinkedIn, etc. | Variations or inconsistencies |
Veto: If AI crawlers (GPTBot, ClaudeBot, PerplexityBot) are blocked in robots.txt, the AI visibility score is 0 regardless of content quality. Check this first.
Score each dimension: Pass = 10, Partial = 5, Fail = 0. Average items per dimension.
| Dimension | Score | Assessment |
|---|---|---|
| Extractability | [x]/10 | ... |
| Quotability | [x]/10 | ... |
| Authority | [x]/10 | ... |
| Freshness | [x]/10 | ... |
| Entity Clarity | [x]/10 | ... |
| AI Citation Score | [avg]/10 | ... |
AI systems cite content they can extract cleanly. Here are before/after examples showing how to transform weak content into citable content:
Before (score: 1/10): "SEO is really important and there are many things to consider."
After (score: 9/10): "Search engine optimization (SEO) is the practice of improving a website's visibility in organic search results through technical configuration, content relevance, and link authority. According to BrightEdge, 53% of all website traffic originates from organic search."
Fix: Name the term, classify it, list its components, add a sourced statistic.
Before (score: 2/10): "Email marketing is pretty effective for most businesses."
After (score: 9/10): "Email marketing generates an average return of $42 for every $1 spent (Litmus, 2023), making it the highest-ROI digital marketing channel — outperforming social media (average $5.20 per $1) and paid search (average $8 per $1)."
Fix: Replace adjectives with numbers, name the source, add comparison context.
Before (score: 2/10): "Think about your keywords and try to optimize your content."
After (score: 8/10): "To optimize a page for a target keyword: (1) place the keyword in the title tag and H1, (2) use it in the first 100 words, (3) add 2-3 semantic variations in H2 subheadings, (4) maintain 0.5-2.5% keyword density, and (5) include it in the meta description. Use tools like Google Search Console to verify indexing within 48 hours."
Fix: Number the steps, make each action specific, add tool and time reference.
Score each content section against these 10 questions (8+ = highly quotable, 5-7 = needs work, <5 = major rewrite):
Check who AI systems currently cite for your target topics:
AI systems understand brands as entities. To strengthen your brand entity:
sameAs links to all official profilesAI systems recognize brands as entities. Use this prioritized checklist to strengthen your entity:
Priority 1 — Foundation (must-have):
name, url, logo, descriptionsameAs property links to all authoritative profiles (LinkedIn, Wikipedia, Wikidata, social)Priority 2 — Authority (should-have):
Priority 3 — AI-Specific (must-have for AI visibility):
| Current State | Focus Area | Timeline |
|---|---|---|
| Most Priority 1 missing | Priority 1 only | 2-4 weeks |
| Priority 1 done, Priority 2 mixed | Priority 2 authority | 1-2 months |
| Priority 1-2 done | Priority 3 AI-specific | 2-3 months |
| All tiers done | Maintenance + quarterly re-audit | Ongoing |
Different AI systems have distinct citation behaviors. Optimize for all, but understand the differences:
| 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 |
| Typical citations per answer | 3-8 | 1-6 | 5-10 | N/A |
| Domain trust weight | Very High | High | Medium | High |
| Factual density preference | High | High | Very High | Very High |
Track your AI presence across platforms:
Current AI Presence
Optimization Priorities
| Priority | Action | Pages Affected | Expected Impact |
|---|---|---|---|
| 1 | ... | ... | ... |
Content Optimization Plan For each key page/topic:
Brand Entity Checklist
Pro Tip: Try the free AI Visibility Checker to see how your brand appears in AI search results, the AI Crawler Inspector to verify bot access, and the GEO Content Analyzer to score content for AI citation readiness. SEOJuice MCP users can run
/seojuice:aiso-reportfor AISO scores across visibility, sentiment, position, and coverage — with monthly trends.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
davila7/claude-code-templates
intellectronica/agent-skills
am-will/codex-skills
sickn33/antigravity-awesome-skills
myzy-ai/dokie-ai-ppt
sickn33/antigravity-awesome-skills
Registry listing for optimize-for-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for optimize-for-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: optimize-for-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: optimize-for-ai is focused, and the summary matches what you get after install.
optimize-for-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: optimize-for-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for optimize-for-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
optimize-for-ai has been reliable in day-to-day use. Documentation quality is above average for community skills.
optimize-for-ai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: optimize-for-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 61