| name | ai-seo |
| description | When the user wants content cited by LLMs or surfaced in AI-generated answers — 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'AI Overviews,' 'optimize for ChatGPT/Perplexity/Claude,' 'AI citations,' 'zero-click search.' For traditional technical/on-page audits, see seo-audit. For structured data, see schema-markup. |
| category | marketing |
| tier | on-demand |
AI SEO
Make content discoverable, extractable, and citable by AI systems — Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot — so it gets cited as a source in AI-generated answers.
Before Starting
Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.
Gather this context (ask if not provided):
- Current AI visibility — Does your brand appear in AI-generated answers today? Have you checked ChatGPT, Perplexity, or Google AI Overviews for your key queries? Which queries matter most to your business?
- Content & domain — Content types produced (blog, docs, comparisons, product pages)? Domain authority / traditional SEO strength? Existing structured data (schema markup)?
- Goals — Get cited as a source in AI answers? Appear in Google AI Overviews for specific queries? Compete with specific brands already getting cited? Optimize existing content or create new AI-optimized content?
- Competitive landscape — Top competitors in AI search results? Are they cited where you're not?
How AI Search Works
The AI Search Landscape
| 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 per-platform source selection and optimization, see references/platform-ranking-factors.md.
Key Difference from Traditional SEO
Traditional SEO gets you ranked; AI SEO gets you cited. A well-structured page can get cited even from page 2 or 3 — AI systems select sources on content quality, structure, and relevance, not just rank position.
Critical stats:
- AI Overviews appear in ~45% of Google searches
- AI Overviews reduce clicks to websites by up to 58%
- Brands are 6.5x more likely to be cited via third-party sources than their own domains
- Optimized content gets cited 3x more often than non-optimized
- Statistics and citations boost visibility by 40%+ across queries
AI Visibility Audit
Assess your current AI search presence before optimizing.
Step 1: Check AI Answers for Your Key Queries
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:
- "What is [your product category]?"
- "Best [product category] for [use case]"
- "[Your brand] vs [competitor]"
- "How to [problem your product solves]"
- "[Your product category] pricing"
Step 2: Analyze Citation Patterns
Where competitors get cited and you don't, examine:
- Content structure — Is theirs more extractable?
- Authority signals — More citations, stats, expert quotes?
- Freshness — More recently updated?
- Schema markup — Structured data you're missing?
- Third-party presence — Cited via Wikipedia, Reddit, review sites?
Step 3: Content Extractability Check
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? | |
Step 4: AI Bot Access Check
Each AI platform has its own crawler; blocking it means that platform can't cite you:
- GPTBot and ChatGPT-User — OpenAI (ChatGPT)
- PerplexityBot — Perplexity
- ClaudeBot and anthropic-ai — Anthropic (Claude)
- Google-Extended — Google Gemini and AI Overviews
- Bingbot — Microsoft Copilot (via Bing)
Check robots.txt for Disallow rules targeting these. If blocked, it's a business decision: blocking prevents AI training on your content but also prevents citation. A middle ground is blocking training-only crawlers (like CCBot from Common Crawl) while allowing the search bots above.
See references/platform-ranking-factors.md for the full robots.txt configuration.
Optimization Strategy
The Three Pillars
1. Structure (make it extractable)
2. Authority (make it citable)
3. Presence (be where AI looks)
Pillar 1: Structure — Make Content Extractable
AI systems extract passages, not pages. Every key claim should work as a standalone statement.
Content block patterns:
- Definition blocks for "What is X?" queries
- Step-by-step blocks for "How to X" queries
- Comparison tables for "X vs Y" queries
- Pros/cons blocks for evaluation queries
- FAQ blocks for common questions
- Statistic blocks with cited sources
For templates for each block type, see references/content-patterns.md.
Structural rules:
- Lead every section with a direct answer (don't bury it)
- Keep key answer passages to 40-60 words (optimal for snippet extraction)
- Use H2/H3 headings that match how people phrase queries
- Tables beat prose for comparisons; numbered lists beat paragraphs for processes
- One clear idea per paragraph
Pillar 2: Authority — Make Content Citable
AI systems prefer sources they can trust.
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 |
Keyword stuffing | -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)
- Specific numbers with sources; cite original research, not summaries
- Date all statistics; original data beats aggregated data
Expert attribution (+25-30% citation boost)
- Named authors with credentials and relevant bios
- Expert quotes with titles and organizations
- "According to [Source]" framing for claims
Freshness signals
- "Last updated: [date]" prominently displayed
- Regular refreshes (quarterly minimum for competitive topics)
- Current year references and recent statistics; remove or update outdated information
E-E-A-T alignment
- First-hand experience demonstrated
- Specific, detailed information (not generic)
- Transparent sourcing and methodology
- Clear author expertise for the topic
Pillar 3: Presence — Be Where AI Looks
AI systems cite where you appear, not just your website. Third-party sources matter more than your own site:
- Wikipedia mentions (7.8% of all ChatGPT citations)
- Reddit discussions (1.8% of ChatGPT citations)
- Industry publications and guest posts
- Review sites (G2, Capterra, TrustRadius for B2B SaaS)
- YouTube (frequently cited by Google AI Overviews)
- Quora answers
Actions:
- Keep your Wikipedia page accurate and current
- Participate authentically in Reddit communities
- Get featured in industry roundups and comparison articles
- Maintain updated profiles on relevant review platforms
- Create YouTube content for key how-to queries
- Answer relevant Quora questions with depth
Schema Markup for AI
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.
Content Types That Get Cited Most
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:
- Generic blog posts without structure
- Thin product pages with marketing fluff
- Gated content (AI can't access it)
- Content without dates or author attribution
- PDF-only content (harder for AI to parse)
Monitoring AI Visibility
What to Track
| 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 |
AI Visibility Monitoring Tools
| 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 |
DIY Monitoring (No Tools)
Monthly manual check:
- Pick your top 20 queries
- Run each through ChatGPT, Perplexity, and Google
- Record: Are you cited? Who is? What page?
- Log in a spreadsheet, track month-over-month
AI SEO for Different Content Types
SaaS Product Pages
Goal: Get cited in "What is [category]?" and "Best [category]" queries.
Optimize:
- Clear product description in first paragraph (what it does, who it's for)
- Feature comparison tables (you vs. category, not just competitors)
- Specific metrics ("processes 10,000 transactions/sec" not "blazing fast")
- Customer count or social proof with numbers
- Pricing transparency (AI cites pages with visible pricing)
- FAQ section addressing common buyer questions
Blog Content
Goal: Get cited as an authoritative source on topics in your space.
Optimize:
- One clear target query per post (match heading to query)
- Definition in first paragraph for "What is" queries
- Original data, research, or expert quotes
- "Last updated" date visible
- Author bio with relevant credentials
- Internal links to related product/feature pages
Comparison/Alternative Pages
Goal: Get cited in "[X] vs [Y]" and "Best [X] alternatives" queries.
Optimize:
- Structured comparison tables (not just prose)
- Fair and balanced (AI penalizes obviously biased comparisons)
- Specific criteria with ratings or scores
- Updated pricing and feature data
- Use the competitor-alternatives skill for building these pages
Documentation / Help Content
Goal: Get cited in "How to [X] with [your product]" queries.
Optimize:
- Step-by-step format with numbered lists
- Code examples where relevant
- HowTo schema markup
- Screenshots with descriptive alt text
- Clear prerequisites and expected outcomes
Common Mistakes
- Ignoring AI search entirely — ~45% of Google searches show AI Overviews, and ChatGPT/Perplexity are growing fast
- Treating AI SEO as separate from SEO — Good traditional SEO is the foundation; AI SEO adds structure and authority on top
- Writing for AI, not humans — Content written to game an algorithm won't get cited or convert
- No freshness signals — AI systems weight recency heavily; undated content loses to dated content
- Gating all content — AI can't access gated content. Keep your most authoritative content open
- Ignoring third-party presence — A Wikipedia mention may earn more AI citations than your own blog
- No structured data — Schema markup gives AI systems structured context
- Keyword stuffing — Actively reduces AI visibility by 10% (Princeton GEO study), not merely ineffective
- Blocking AI bots — Blocked GPTBot, PerplexityBot, or ClaudeBot in robots.txt means those platforms can't cite you
- Generic content without data — "We're the best" won't get cited. "Our customers see 3x improvement in [metric]" will
- Forgetting to monitor — Check AI visibility monthly at minimum
Tool Integrations
For 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 |
Task-Specific Questions
- What are your top 10-20 most important queries?
- Have you checked if AI answers exist for those queries today?
- Do you have structured data (schema markup) on your site?
- What content types do you publish? (Blog, docs, comparisons, etc.)
- Are competitors being cited by AI where you're not?
- Do you have a Wikipedia page or presence on review sites?
Related Skills
- seo-audit: For traditional technical and on-page SEO audits
- schema-markup: For implementing structured data that helps AI understand your content
- content-strategy: For planning what content to create
- competitor-alternatives: For building comparison pages that get cited
- programmatic-seo: For building SEO pages at scale
- copywriting: For writing content that's both human-readable and AI-extractable
