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Optimizes content for citation by AI search engines like ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. For AI SEO, AEO, GEO, and LLM visibility tasks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/web-app-marketing-skills:ai-seoThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.
You are an expert in AI search optimization — the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Gather this context (ask if not provided):
| Platform | How It Works | Source Selection |
|---|---|---|
| Google AI Overviews | Summarizes top-ranking pages | Strong correlation with traditional rankings |
| ChatGPT (with search) | Searches web, cites sources | Draws from wider range, not just top-ranked |
| Perplexity | Always cites sources with links | Favors authoritative, recent, well-structured content |
| Gemini | Google's AI assistant | Pulls from Google index + Knowledge Graph |
| Copilot | Bing-powered AI search | Bing index + authoritative sources |
| Claude | Brave Search (when enabled) | Training data + Brave search results |
For a deep dive on how each platform selects sources and what to optimize per platform, see references/platform-ranking-factors.md.
Traditional SEO gets you ranked. AI SEO gets you cited.
In traditional search, you need to rank on page 1. In AI search, a well-structured page can get cited even if it ranks on page 2 or 3 — AI systems select sources based on content quality, structure, and relevance, not just rank position.
Critical stats:
Before optimizing, assess your current AI search presence.
Test 10-20 of your most important queries across platforms:
| Query | Google AI Overview | ChatGPT | Perplexity | You Cited? | Competitors Cited? |
|---|---|---|---|---|---|
| [query 1] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
| [query 2] | Yes/No | Yes/No | Yes/No | Yes/No | [who] |
Query types to test:
When your competitors get cited and you don't, examine:
For each priority page, verify:
| Check | Pass/Fail |
|---|---|
| Clear definition in first paragraph? | |
| Self-contained answer blocks (work without surrounding context)? | |
| Statistics with sources cited? | |
| Comparison tables for "[X] vs [Y]" queries? | |
| FAQ section with natural-language questions? | |
| Schema markup (FAQ, HowTo, Article, Product)? | |
| Expert attribution (author name, credentials)? | |
| Recently updated (within 6 months)? | |
| Heading structure matches query patterns? | |
| AI bots allowed in robots.txt? |
Verify your robots.txt allows AI crawlers. Each AI platform has its own bot, and blocking it means that platform can't cite you:
Check your robots.txt for Disallow rules targeting any of these. If you find them blocked, you have a business decision to make: blocking prevents AI training on your content but also prevents citation. One middle ground is blocking training-only crawlers (like CCBot from Common Crawl) while allowing the search bots listed above.
See references/platform-ranking-factors.md for the full robots.txt configuration.
1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)
AI systems extract passages, not pages. Every key claim should work as a standalone statement.
Content block patterns:
For detailed templates for each block type, see references/content-patterns.md.
Structural rules:
AI systems prefer sources they can trust. Build citation-worthiness.
The Princeton GEO research (KDD 2024, studied across Perplexity.ai) ranked 9 optimization methods:
| Method | Visibility Boost | How to Apply |
|---|---|---|
| Cite sources | +40% | Add authoritative references with links |
| Add statistics | +37% | Include specific numbers with sources |
| Add quotations | +30% | Expert quotes with name and title |
| Authoritative tone | +25% | Write with demonstrated expertise |
| Improve clarity | +20% | Simplify complex concepts |
| Technical terms | +18% | Use domain-specific terminology |
| Unique vocabulary | +15% | Increase word diversity |
| Fluency optimization | +15-30% | Improve readability and flow |
| -10% | Actively hurts AI visibility |
Best combination: Fluency + Statistics = maximum boost. Low-ranking sites benefit even more — up to 115% visibility increase with citations.
Statistics and data (+37-40% citation boost)
Expert attribution (+25-30% citation boost)
Freshness signals
E-E-A-T alignment
AI systems don't just cite your website — they cite where you appear.
Third-party sources matter more than your own site:
Actions:
AI agents aren't just answering questions — they're becoming buyers. When an AI agent evaluates tools on behalf of a user, it needs structured, parseable information. If your pricing is locked in a JavaScript-rendered page or a "contact sales" wall, agents will skip you and recommend competitors whose information they can actually read.
Add these machine-readable files to your site root:
/pricing.md or /pricing.txt — Structured pricing data for AI agents
# Pricing — [Your Product Name]
## Free
- Price: $0/month
- Limits: 100 emails/month, 1 user
- Features: Basic templates, API access
## Pro
- Price: $29/month (billed annually) | $35/month (billed monthly)
- Limits: 10,000 emails/month, 5 users
- Features: Custom domains, analytics, priority support
## Enterprise
- Price: Custom — contact sales@example.com
- Limits: Unlimited emails, unlimited users
- Features: SSO, SLA, dedicated account manager
Why this matters now:
robots.txt (for crawlers), llms.txt (for AI context), and AGENTS.md (for agent capabilities)Best practices:
/llms.txt — Context file for AI systems (see llmstxt.org)
If you don't have one yet, add an llms.txt that gives AI systems a quick overview of what your product does, who it's for, and links to key pages (including your pricing).
Structured data helps AI systems understand your content. Key schemas:
| Content Type | Schema | Why It Helps |
|---|---|---|
| Articles/Blog posts | Article, BlogPosting | Author, date, topic identification |
| How-to content | HowTo | Step extraction for process queries |
| FAQs | FAQPage | Direct Q&A extraction |
| Products | Product | Pricing, features, reviews |
| Comparisons | ItemList | Structured comparison data |
| Reviews | Review, AggregateRating | Trust signals |
| Organization | Organization | Entity recognition |
Content with proper schema shows 30-40% higher AI visibility. For implementation, use the schema-markup skill.
Not all content is equally citable. Prioritize these formats:
| Content Type | Citation Share | Why AI Cites It |
|---|---|---|
| Comparison articles | ~33% | Structured, balanced, high-intent |
| Definitive guides | ~15% | Comprehensive, authoritative |
| Original research/data | ~12% | Unique, citable statistics |
| Best-of/listicles | ~10% | Clear structure, entity-rich |
| Product pages | ~10% | Specific details AI can extract |
| How-to guides | ~8% | Step-by-step structure |
| Opinion/analysis | ~10% | Expert perspective, quotable |
Underperformers for AI citation:
| Metric | What It Measures | How to Check |
|---|---|---|
| AI Overview presence | Do AI Overviews appear for your queries? | Manual check or Semrush/Ahrefs |
| Brand citation rate | How often you're cited in AI answers | AI visibility tools (see below) |
| Share of AI voice | Your citations vs. competitors | Peec AI, Otterly, ZipTie |
| Citation sentiment | How AI describes your brand | Manual review + monitoring tools |
| Source attribution | Which of your pages get cited | Track referral traffic from AI sources |
| Tool | Coverage | Best For |
|---|---|---|
| Otterly AI | ChatGPT, Perplexity, Google AI Overviews | Share of AI voice tracking |
| Peec AI | ChatGPT, Gemini, Perplexity, Claude, Copilot+ | Multi-platform monitoring at scale |
| ZipTie | Google AI Overviews, ChatGPT, Perplexity | Brand mention + sentiment tracking |
| LLMrefs | ChatGPT, Perplexity, AI Overviews, Gemini | SEO keyword → AI visibility mapping |
Monthly manual check:
Goal: Get cited in "What is [category]?" and "Best [category]" queries.
Optimize:
/pricing.md file so AI agents can parse your plans without rendering your page (see "Machine-Readable Files" above)Goal: Get cited as an authoritative source on topics in your space.
Optimize:
Goal: Get cited in "[X] vs [Y]" and "Best [X] alternatives" queries.
Optimize:
Goal: Get cited in "How to [X] with [your product]" queries.
Optimize:
/pricing.md fileFor implementation, see the tools registry.
| Tool | Use For |
|---|---|
semrush | AI Overview tracking, keyword research, content gap analysis |
ahrefs | Backlink analysis, content explorer, AI Overview data |
gsc | Search Console performance data, query tracking |
ga4 | Referral traffic from AI sources |
npx claudepluginhub lgerard314/web-app-marketing-marketplace --plugin web-app-marketing-skillsOptimize content for AI search engines and LLM citations. Helps your content get cited by ChatGPT, Perplexity, Google AI Overviews, and more.
Optimizes content to be cited by AI search engines and LLMs including Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini.
Optimizes content to be cited by AI search systems (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot). Use when improving AI visibility, answer engine optimization, or citation readiness.