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web-content skill

/skills/web-content

This skill helps you optimize web content for both traditional SEO and AI discovery by applying GEO and schema best practices.

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---
name: web-content
description: SEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimization
---

# Web Content Skill

*Load with: base.md + ui-web.md*

For creating web content optimized for both traditional SEO and AI discovery (ChatGPT, Perplexity, Claude, Gemini).

**Sources:** [GEO Complete Guide](https://skale.so/marketing/geo/) | [AI Search SEO](https://www.gravitatedesign.com/blog/ai-search-seo/) | [LLM Optimization](https://surferseo.com/blog/llm-optimization-seo/) | [Generative Engine Optimization](https://www.siddharthbharath.com/generative-engine-optimization/)

---

## Philosophy

**SEO gets clicks. GEO gets citations.**

Traditional SEO optimizes for Google rankings. Generative Engine Optimization (GEO) optimizes for being cited by AI assistants. Modern content needs both:

- **SEO**: Rank on search results pages
- **GEO**: Be cited in AI-generated answers (ChatGPT, Perplexity, Claude, Gemini)

AI traffic grew 1,200% between July 2024 and February 2025. Google's search share dropped below 90% for the first time in a decade. Optimize for both.

---

## Content Structure for AI + SEO

### The Golden Rule

**Write for humans, structure for machines.**

AI systems prefer:
- Short, clear, fact-based content
- Clean formatting (headers, bullets, tables)
- Standalone sections that can be quoted
- Direct answers to questions

---

## Page Types & Templates

### Homepage

```markdown
## Homepage Structure

### Above the Fold
- **Headline**: Clear value proposition (what you do + for whom)
- **Subheadline**: How you deliver that value
- **Primary CTA**: One clear action
- **Trust signals**: Logos, testimonials, stats

### Content Sections
1. **Problem Statement**: Pain point you solve
2. **Solution Overview**: How you solve it (3-4 key features)
3. **Social Proof**: Testimonials, case studies, logos
4. **How It Works**: 3-step process (simple)
5. **Pricing Preview**: Or link to pricing page
6. **FAQ Section**: 5-7 common questions (GEO gold)
7. **Final CTA**: Repeat primary action

### Schema Required
- Organization schema (name, logo, founding date, social links)
- WebSite schema with SearchAction
- FAQ schema for questions section
```

### Product/Service Page

```markdown
## Product Page Structure

### Hero Section
- **Product Name**: Clear, descriptive
- **One-line Description**: What it does in 10 words or less
- **Key Benefit**: Primary value proposition
- **CTA**: Buy/Try/Demo

### Content Sections
1. **TL;DR Box**: 3-5 bullet summary (AI-quotable)
2. **Problem → Solution**: What problem, how solved
3. **Features Grid**: 4-6 features with icons
4. **Comparison Table**: vs. alternatives (GEO loves these)
5. **Use Cases**: Who uses it and how
6. **Testimonials**: Real names, photos, companies
7. **Pricing**: Clear tiers if applicable
8. **FAQ**: Product-specific questions

### Schema Required
- Product schema (name, description, price, availability)
- Review schema (aggregate rating)
- FAQ schema
- BreadcrumbList schema
```

### Blog Post / Article

```markdown
## Blog Post Structure

### Opening (First 100 words)
- **TL;DR**: Direct answer to the title's question
- **What you'll learn**: Bullet list of takeaways
- This section should be quotable standalone

### Body Structure
- **H2 sections**: Main topics (5-7 per article)
- **H3 subsections**: Supporting points
- **Bullet lists**: For scanability
- **Stat boxes**: Highlight key numbers
- **Comparison tables**: When comparing options

### Content Elements
- Definition boxes ("What is X?")
- Step-by-step instructions
- Code examples (if technical)
- Original statistics/research
- Expert quotes with attribution

### Closing
- **Summary**: Key takeaways (bulleted)
- **Next steps**: What reader should do
- **Related content**: Internal links

### Metadata Required
- Author name + bio + photo
- Publication date
- Last updated date (visible!)
- Reading time
- Article schema with author
```

### FAQ Page

```markdown
## FAQ Page Structure

### Organization
- Group questions by category
- Most common questions first
- Direct, concise answers
- Link to detailed pages for more info

### Question Format
Q: [Exact question users ask]
A: [Direct answer in first sentence, then elaboration]

### Schema Required
- FAQPage schema (critical for AI discovery)
- Each Q&A as Question/Answer schema
```

### Landing Page

```markdown
## Landing Page Structure

### Single Focus
- One offer
- One audience
- One CTA (repeated)

### Sections
1. **Headline**: Benefit-focused, specific
2. **Problem Agitation**: Pain points
3. **Solution**: Your offer
4. **Proof**: Testimonials, stats, logos
5. **Features**: 3-5 key benefits
6. **Objection Handling**: FAQ or guarantee
7. **CTA**: Clear, urgent

### No Navigation
- Remove header nav (reduce exits)
- Single path: read → convert
```

---

## AI-Optimized Content Formats

### TL;DR Boxes

```html
<div class="tldr-box">
  <h3>TL;DR</h3>
  <ul>
    <li>Key point 1 with specific detail</li>
    <li>Key point 2 with number/stat</li>
    <li>Key point 3 with actionable insight</li>
  </ul>
</div>
```

Place at top of articles. AI systems extract these for summaries.

### Definition Blocks

```markdown
## What is [Term]?

[Term] is [concise definition in one sentence]. It [what it does] by [how it works].

**Key characteristics:**
- Characteristic 1
- Characteristic 2
- Characteristic 3
```

Start with "What is X?" - AI systems look for this pattern.

### Comparison Tables

```markdown
| Feature | Product A | Product B | Our Product |
|---------|-----------|-----------|-------------|
| Price | $99/mo | $149/mo | $79/mo |
| Feature 1 | ✓ | ✗ | ✓ |
| Feature 2 | ✗ | ✓ | ✓ |
| Best For | Enterprise | Startups | SMBs |
```

AI loves structured comparisons. Include in product and review pages.

### Stat Boxes

```html
<div class="stat-box">
  <span class="stat-number">73%</span>
  <span class="stat-label">of users prefer AI search for complex queries</span>
  <span class="stat-source">Source: Adobe Analytics, 2024</span>
</div>
```

Original statistics with sources get cited by AI.

### Step-by-Step Guides

```markdown
## How to [Do Thing]

### Step 1: [Action Verb] [Object]
[Explanation of what to do]

**Example:**
[Concrete example]

### Step 2: [Action Verb] [Object]
[Explanation]

### Step 3: [Action Verb] [Object]
[Explanation]

**Result:** [What user achieves]
```

Use HowTo schema markup for these.

---

## Schema Markup (Critical for AI)

### Organization Schema

```json
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yoursite.com",
  "logo": "https://yoursite.com/logo.png",
  "foundingDate": "2020",
  "description": "One sentence description",
  "sameAs": [
    "https://twitter.com/yourcompany",
    "https://linkedin.com/company/yourcompany",
    "https://github.com/yourcompany"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "email": "[email protected]",
    "contactType": "customer service"
  }
}
```

### Article Schema

```json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title",
  "description": "Meta description",
  "image": "https://yoursite.com/article-image.jpg",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://yoursite.com/team/author-name",
    "jobTitle": "Role at Company",
    "sameAs": [
      "https://linkedin.com/in/author",
      "https://twitter.com/author"
    ]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Your Company",
    "logo": {
      "@type": "ImageObject",
      "url": "https://yoursite.com/logo.png"
    }
  },
  "datePublished": "2025-01-15",
  "dateModified": "2025-01-20"
}
```

### FAQ Schema

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is your product?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Direct answer here. Keep concise but complete."
      }
    },
    {
      "@type": "Question",
      "name": "How much does it cost?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Pricing starts at $X/month for basic plan..."
      }
    }
  ]
}
```

### Product Schema

```json
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Product description",
  "image": "https://yoursite.com/product.jpg",
  "brand": {
    "@type": "Brand",
    "name": "Your Company"
  },
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "reviewCount": "127"
  }
}
```

### HowTo Schema

```json
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Set Up Your Account",
  "description": "Step-by-step guide to getting started",
  "step": [
    {
      "@type": "HowToStep",
      "name": "Create account",
      "text": "Go to signup page and enter your email"
    },
    {
      "@type": "HowToStep",
      "name": "Verify email",
      "text": "Click the link in the verification email"
    }
  ]
}
```

---

## Platform-Specific Optimization

### ChatGPT Optimization

```markdown
✅ DO:
- TL;DR sections at top of articles
- Consistent formatting (headers, bullets)
- Named authors with credentials
- Original research and statistics
- Multi-intent content (covers related questions)

❌ AVOID:
- Thin content without substance
- Missing author attribution
- Outdated information (no dates)
```

### Perplexity Optimization

```markdown
✅ DO:
- Original statistics with sources
- Comparison tables and structured data
- Clean URL slugs (/topic-name not /p=123)
- Short, declarative statements
- Images, charts, diagrams
- YouTube videos (Perplexity shows these)

❌ AVOID:
- Generic content without unique insights
- Missing citations/sources
- Poor URL structure
```

### Claude Optimization

```markdown
✅ DO:
- Well-structured, logical content
- Clear definitions and explanations
- Technical accuracy
- Balanced perspectives
- Proper citations

❌ AVOID:
- Misleading or sensational content
- Missing context
- Outdated technical information
```

### Gemini Optimization

```markdown
✅ DO:
- Rich schema markup
- Detailed image alt-text
- YouTube content (Google-owned)
- Multimedia (video, audio with transcripts)

❌ AVOID:
- Missing structured data
- Images without alt-text
- Text-only content
```

---

## E-E-A-T for AI Discovery

### Experience
- First-person case studies
- "We tested X and found Y"
- Original screenshots and data
- User testimonials with real details

### Expertise
- Author bios with credentials
- Link to author's other work
- Industry-specific terminology
- Technical depth appropriate to topic

### Authoritativeness
- Backlinks from trusted sources
- Mentions in industry publications
- Citations from other experts
- Social proof (followers, engagement)

### Trustworthiness
- Contact information visible
- About page with team details
- Privacy policy and terms
- Secure site (HTTPS)
- Accurate, up-to-date info

---

## Content Freshness

### Visible Dates (Required)

```html
<article>
  <header>
    <h1>Article Title</h1>
    <div class="meta">
      <span class="author">By John Smith</span>
      <span class="published">Published: January 15, 2025</span>
      <span class="updated">Last updated: January 20, 2025</span>
    </div>
  </header>
</article>
```

AI systems prefer recent content. Show dates prominently.

### Update Schedule

| Content Type | Update Frequency |
|--------------|------------------|
| Product pages | On feature changes |
| Pricing | Immediately on change |
| Blog posts | Quarterly review |
| Statistics | When new data available |
| Guides | Semi-annually |

---

## Analytics for AI Traffic

### GA4 Regex Filter

```regex
.*chatgpt\.com.*|.*perplexity\.ai.*|.*gemini\.google\.com.*|.*copilot\.microsoft\.com.*|.*openai\.com.*|.*claude\.ai.*|.*poe\.com.*|.*you\.com.*|.*phind\.com.*
```

### Track AI Referrals

```javascript
// Check for AI referrer
const aiReferrers = [
  'chatgpt.com',
  'chat.openai.com',
  'perplexity.ai',
  'claude.ai',
  'gemini.google.com',
  'copilot.microsoft.com',
  'poe.com',
  'you.com',
  'phind.com'
];

const referrer = document.referrer;
const isAIReferral = aiReferrers.some(ai => referrer.includes(ai));

if (isAIReferral) {
  analytics.track('ai_referral', {
    source: referrer,
    page: window.location.pathname
  });
}
```

### Survey for AI Discovery

Add to forms:
```markdown
How did you hear about us?
- [ ] Google Search
- [ ] ChatGPT
- [ ] Perplexity
- [ ] Claude
- [ ] Social Media
- [ ] Referral
- [ ] Other
```

---

## Content Checklist

### Before Publishing

```markdown
## SEO Checklist
- [ ] Title tag (50-60 chars) with primary keyword
- [ ] Meta description (150-160 chars) with CTA
- [ ] URL slug is clean and descriptive
- [ ] H1 matches title intent
- [ ] H2/H3 hierarchy is logical
- [ ] Images have descriptive alt-text
- [ ] Internal links to related content
- [ ] External links to authoritative sources

## GEO Checklist
- [ ] TL;DR or summary at top
- [ ] Direct answer to main question in first paragraph
- [ ] Stat boxes with sources
- [ ] Comparison tables where applicable
- [ ] FAQ section with schema
- [ ] Author name, bio, and credentials
- [ ] Publication and last-updated dates visible
- [ ] Schema markup validated
- [ ] Content can be quoted standalone
- [ ] Original insights or data included
```

### Schema Validation

```bash
# Validate schema markup
# Use: https://validator.schema.org/
# Or: https://search.google.com/test/rich-results
```

---

## Project Structure

```
project/
├── content/
│   ├── pages/
│   │   ├── home.md
│   │   ├── about.md
│   │   ├── pricing.md
│   │   └── contact.md
│   ├── blog/
│   │   ├── post-1.md
│   │   └── post-2.md
│   └── legal/
│       ├── privacy.md
│       └── terms.md
├── components/
│   ├── SchemaMarkup.tsx
│   ├── TLDRBox.tsx
│   ├── StatBox.tsx
│   ├── FAQSection.tsx
│   └── AuthorBio.tsx
└── lib/
    └── schema.ts           # Schema generators
```

---

## Anti-Patterns

- **No dates** - AI deprioritizes undated content
- **Anonymous content** - No author = no E-E-A-T
- **Walls of text** - Break up with headers, bullets, boxes
- **Generic content** - Add original insights, data, opinions
- **Missing schema** - Invisible to structured data crawlers
- **Outdated info** - Update quarterly minimum
- **No FAQ** - Missing easy GEO win
- **Poor URL structure** - Use /topic-name not /p=12345

---

## Quick Reference

### Content Formats AI Loves
1. TL;DR summaries
2. Definition boxes ("What is X?")
3. Comparison tables
4. Step-by-step guides
5. FAQ sections
6. Stat boxes with sources
7. Listicles with numbers

### Required Schema by Page Type

| Page Type | Schema |
|-----------|--------|
| Homepage | Organization, WebSite |
| Blog Post | Article, Author, FAQ |
| Product | Product, Review, FAQ |
| FAQ | FAQPage |
| How-to | HowTo |
| About | Organization, Person |

Overview

This skill helps teams create web content optimized for both traditional SEO and AI discovery (GEO) across assistants like ChatGPT, Perplexity, Claude, and Gemini. It provides page templates, schema markup, content patterns (TL;DR, definition boxes, comparison tables) and tracking snippets to improve citations and search rankings. The approach is opinionated, security-aware, and focused on measurable AI referral signals.

How this skill works

The skill inspects content structure and injects recommended blocks (TL;DR, stat boxes, FAQ) and required schema (Organization, Article, FAQ, Product, HowTo) to make pages machine-quotable. It also supplies platform-specific guidance and analytics snippets to detect AI referrals and measure generative traffic. Use it during content creation, templating, and QA to ensure content is both human-readable and AI-friendly.

When to use it

  • Launching a new homepage, product page, landing page, or blog article.
  • Refreshing existing content to improve AI citations and search CTR.
  • Publishing technical guides or HowTos that should be machine-quotable.
  • Building FAQ pages intended for rich results and AI answers.
  • Instrumenting analytics to track AI-driven referrals and conversions.

Best practices

  • Write concise, fact-first TL;DRs and place them at the top of articles.
  • Include visible author metadata, publication and last-updated dates.
  • Add rich schema for Organization, Article, FAQ, Product, and HowTo and validate before publishing.
  • Use structured elements: definition boxes, comparison tables, stat boxes with sources.
  • Keep URLs clean, add descriptive alt text for images, and include multimedia with transcripts.

Example use cases

  • A product launch page with Product schema, comparison table, TL;DR box, and FAQ schema for GEO citation.
  • A technical how-to guide that uses HowTo schema, step blocks, and inline stat boxes for AI summaries.
  • A blog article optimized for ChatGPT and Perplexity with a quotable opening, H2/H3 structure, and original research.
  • A landing page with a single CTA, no navigation, and Organization + WebSite schema to maximize conversion and AI visibility.

FAQ

Do I need all schema types on every page?

No. Use only the schemas that match the page intent: Article for posts, Product for product pages, HowTo for guides, and FAQ for question pages.

How do I measure AI-driven traffic?

Add referrer-based analytics detection for known AI domains (ChatGPT, Perplexity, Claude, Gemini), track ai_referral events, and include a survey question in signup flows to capture source.