Ai Seo

---
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):

1. **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?
2. **Content & domain** — Content types produced (blog, docs, comparisons, product pages)? Domain authority / traditional SEO strength? Existing structured data (schema markup)?
3. **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?
4. **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](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](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](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:
1. Pick your top 20 queries
2. Run each through ChatGPT, Perplexity, and Google
3. Record: Are you cited? Who is? What page?
4. 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](../../tools/REGISTRY.md).

| 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

1. What are your top 10-20 most important queries?
2. Have you checked if AI answers exist for those queries today?
3. Do you have structured data (schema markup) on your site?
4. What content types do you publish? (Blog, docs, comparisons, etc.)
5. Are competitors being cited by AI where you're not?
6. 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