name: seo-ptimizer description: | Search Engine Optimization and AI Search Optimization (GEO) specialist. Use when: (1) optimizing for traditional search (Google, Bing), (2) optimizing for AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude), (3) implementing schema markup for AI citation, (4) improving Core Web Vitals (LCP, INP, CLS), (5) creating citation-worthy content structure, (6) zero-click optimization, (7) E-E-A-T signal implementation. Expert in GEO (Generative Engine Optimization), structured data, and AI-readable content.

SEO Optimizer

Comprehensive guidance for search engine optimization and AI search optimization (GEO) across content, technical implementation, and strategic planning.

When to Use This Skill

Use this skill when:

• Optimizing for traditional search engines (Google, Bing)
• Optimizing for AI search engines (ChatGPT, Perplexity, Google AI Overviews)
• Implementing schema markup for rich results and AI citation
• Improving Core Web Vitals (LCP, INP, CLS)
• Creating citation-worthy content structure
• Conducting keyword research and analysis
• Planning content strategy for organic and AI traffic
• Implementing E-E-A-T signals

Critical 2025-2026 Statistics

• 61% of searches will start on AI platforms by 2026
• 50% of SEO effort should focus on GEO for 2026
• 58-60% of Google searches are zero-click
• 3.7x more likely to be cited by AI with proper schema markup
• INP threshold: ≤ 200ms (replaced FID in March 2024)
• CTR drops 61% for queries with AI Overviews

AI Search Optimization (GEO)

What is GEO?

Generative Engine Optimization (GEO) is the practice of optimizing content to be surfaced, cited, and referenced by AI-powered search engines like ChatGPT Search, Perplexity, Google AI Overviews, and Claude.

GEO vs Traditional SEO

Platform-Specific Optimization

ChatGPT Search

Top Sources: Wikipedia, G2, Forbes, Amazon, official documentation Strategy:

• Reference-style content with inline citations
• Well-organized hierarchical structure
• Comprehensive topical coverage
• Clear definitions and explanations

Perplexity

Top Sources: Reddit, YouTube, LinkedIn, niche forums Strategy:

• Community-driven, discussion-friendly content
• UGC-friendly formats (Q&A, testimonials)
• Real-world examples and case studies
• Conversational tone

Google AI Overviews

Top Sources: High E-E-A-T sites, recent/fresh content Strategy:

• Schema markup (critical)
• Content freshness signals
• Direct answers in BLUF format
• Structured data for Knowledge Panel

Citation Boost Statistics

GEO Content Formatting

BLUF (Bottom Line Up Front)

AI systems prefer content that answers questions immediately:

## What is React?

**React is a JavaScript library for building user interfaces**, developed by Meta. It uses a component-based architecture and virtual DOM for efficient rendering.

### Key Features
- Component-based architecture
- Virtual DOM for performance
- Declarative syntax
- Large ecosystem

Data Tables for Citation (+4.1x boost)

Original data tables are highly citation-worthy:

## Framework Comparison (2025 Benchmarks)

| Framework | Bundle Size | TTI | Stars | Weekly Downloads |
|-----------|-------------|-----|-------|------------------|
| React 18  | 44kb        | 1.2s| 220k  | 23M              |
| Vue 3     | 34kb        | 0.9s| 206k  | 4M               |
| Svelte 5  | 2kb         | 0.4s| 78k   | 500k             |

*Source: [Your analysis], January 2025*

Inline Citations

According to a [2024 study by Ahrefs](https://ahrefs.com/study),
pages with comprehensive FAQ sections receive 3.2x more AI Overview
inclusions than those without structured Q&A content.

Schema Markup for AI

High-Impact Schema Types

FAQPage Schema (3.2x more AI Overviews)

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Generative Engine Optimization?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Generative Engine Optimization (GEO) is the practice of optimizing content to be cited and referenced by AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews."
      }
    }
  ]
}

Article Schema with Author Attribution

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Complete Guide to AI Search Optimization",
  "image": "https://example.com/images/geo-guide.jpg",
  "datePublished": "2025-01-15",
  "dateModified": "2025-02-01",
  "author": {
    "@type": "Person",
    "name": "Jane Developer",
    "url": "https://example.com/authors/jane",
    "sameAs": [
      "https://twitter.com/janedev",
      "https://linkedin.com/in/janedev"
    ],
    "jobTitle": "Senior SEO Specialist",
    "worksFor": {
      "@type": "Organization",
      "name": "Tech Academy"
    }
  },
  "publisher": {
    "@type": "Organization",
    "name": "Tech Academy",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  }
}

HowTo Schema with Steps

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Optimize Content for AI Search",
  "step": [
    {
      "@type": "HowToStep",
      "position": 1,
      "name": "Add FAQ Schema",
      "text": "Implement FAQPage schema for question-answer content."
    },
    {
      "@type": "HowToStep",
      "position": 2,
      "name": "Use BLUF Format",
      "text": "Place the key answer in the first paragraph."
    }
  ]
}

Organization Schema for Knowledge Panel

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://example.com",
  "logo": "https://example.com/logo.png",
  "sameAs": [
    "https://twitter.com/yourcompany",
    "https://linkedin.com/company/yourcompany",
    "https://github.com/yourcompany"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+1-555-555-5555",
    "contactType": "customer service"
  }
}

Additional Schema Types

• Product - E-commerce listings
• BreadcrumbList - Navigation paths
• Review/AggregateRating - Ratings and reviews
• LocalBusiness - Location-based businesses
• SoftwareApplication - Apps and tools
• Dataset - Structured data sources

Core Web Vitals 2025-2026

Current Thresholds

Largest Contentful Paint (LCP) - Target: ≤ 2.5s

What it measures: Time until the largest content element is rendered.

Optimization Techniques:

• Optimize and compress images (WebP/AVIF format)
• Use CDN for static assets
• Implement resource hints (preload, preconnect)
• Minimize render-blocking resources
• Use fetchpriority="high" on LCP element

<!-- Preload LCP image -->
<link rel="preload" href="/hero.webp" as="image" fetchpriority="high">

<!-- Preconnect to CDN -->
<link rel="preconnect" href="https://cdn.example.com">

Interaction to Next Paint (INP) - Target: ≤ 200ms

What it measures: Responsiveness to user interactions (replaced FID in March 2024).

Key Difference from FID: INP measures the entire interaction lifecycle, not just input delay.

Optimization Techniques:

• Break up long tasks (> 50ms) into smaller chunks
• Use requestIdleCallback for non-critical work
• Implement virtualization for long lists
• Defer non-critical JavaScript
• Use Web Workers for heavy computations
• Optimize event handlers

// Break long task into chunks
function processInChunks(items, processFn) {
  const CHUNK_SIZE = 100;
  let index = 0;

  function processChunk() {
    const chunk = items.slice(index, index + CHUNK_SIZE);
    chunk.forEach(processFn);
    index += CHUNK_SIZE;

    if (index < items.length) {
      requestIdleCallback(processChunk);
    }
  }

  requestIdleCallback(processChunk);
}

Cumulative Layout Shift (CLS) - Target: ≤ 0.1

What it measures: Visual stability of the page.

Optimization Techniques:

• Set explicit dimensions on images/videos
• Reserve space for ads and embeds
• Avoid inserting content above existing content
• Use CSS aspect-ratio property
• Preload fonts with font-display: optional

<!-- Set dimensions to prevent layout shift -->
<img
  src="/image.webp"
  width="800"
  height="600"
  alt="Description"
  loading="lazy"
/>

<!-- Or use aspect-ratio -->
<style>
  .video-container {
    aspect-ratio: 16 / 9;
    width: 100%;
  }
</style>

E-E-A-T for AI Systems

Machine-Readable E-E-A-T Signals

AI systems increasingly look for trust signals. Make them explicit:

Experience Signals

• First-person narratives ("In my 10 years of...")
• Case studies with specific outcomes
• Screenshots and real examples
• Dated timestamps showing ongoing engagement

Expertise Signals

• Author credentials in schema markup
• Bylines with expertise indicators
• Technical depth with accurate terminology
• Original research and data

Authoritativeness Signals

• Citations from/to authoritative sources
• Expert quotes with attribution
• Industry recognition mentions
• Published works references

Trust Signals

• HTTPS (baseline requirement)
• Clear contact information
• Privacy policy and terms
• Physical address for businesses
• Transparent ownership

Author Attribution Pattern

<article>
  <header>
    <h1>Complete Guide to React Performance</h1>
    <div class="author-info" itemscope itemtype="https://schema.org/Person">
      <img src="/authors/jane.jpg" alt="Jane Developer" itemprop="image">
      <div>
        <span itemprop="name">Jane Developer</span>
        <span itemprop="jobTitle">Senior React Engineer</span>
        <span>15 years experience • 50+ articles published</span>
        <time datetime="2025-01-15">Updated January 15, 2025</time>
      </div>
    </div>
  </header>
  <!-- Content -->
</article>

Zero-Click Optimization

With 58-60% of searches resulting in zero clicks, optimize for visibility even without clicks.

Answer Inclusion Strategies

1. Direct Answer Format

   • Start with the answer, then explain
   • Use definition-style formatting
   • Keep key answer under 50 words

2. Entity Clarity

   • Define entities clearly at first mention
   • Use consistent naming throughout
   • Include entity schema markup

3. Structured Credibility

   • Lead with credentials
   • Include specific numbers and dates
   • Cite authoritative sources

Featured Snippet Optimization

Paragraph Snippets:

## What is INP?

Interaction to Next Paint (INP) is a Core Web Vital metric that measures
page responsiveness. It replaced First Input Delay (FID) in March 2024.
A good INP score is 200 milliseconds or less.

List Snippets:

## How to Improve INP

1. Break long tasks into smaller chunks
2. Defer non-critical JavaScript
3. Use Web Workers for heavy computations
4. Optimize event handlers
5. Implement virtualization for long lists

Table Snippets:

## Core Web Vitals Thresholds

| Metric | Good | Poor |
|--------|------|------|
| LCP    | ≤2.5s| >4s  |
| INP    | ≤200ms| >500ms|
| CLS    | ≤0.1 | >0.25|

Multimodal Search Optimization

Voice Search Optimization

Voice queries are conversational and question-based:

Optimization Strategies:

• Target natural language questions ("How do I...", "What is the best...")
• Provide concise, speakable answers (< 30 words ideal)
• Use FAQ schema for question-answer pairs
• Optimize for "near me" queries (local SEO)

Voice-Friendly Content:

## How long does it take to learn React?

Most developers can learn React basics in 2-4 weeks with daily practice.
Becoming proficient typically takes 3-6 months of building real projects.

Visual Search (Google Lens)

Optimization Strategies:

• High-quality, unique images
• Descriptive filenames (blue-running-shoes-nike-2025.jpg)
• Comprehensive alt text
• Image schema markup
• Product images with multiple angles

SEO Fundamentals

Keyword Research & Strategy

Primary Keyword Selection:

• Focus on search intent (informational, navigational, transactional, commercial)
• Balance search volume with competition
• Target long-tail keywords for quick wins
• Consider AI search query patterns (more conversational)

Content Optimization Formula:

• Primary keyword: 1-2% density (natural placement)
• Include in: Title tag, H1, first paragraph, URL, meta description
• Use semantic variations and related terms
• Maintain natural readability

On-Page SEO

Title Tag Optimization:

<!-- Good: Descriptive, keyword-first, under 60 chars -->
<title>INP Optimization Guide: Improve Core Web Vitals in 2025</title>

Meta Description:

<!-- Compelling, 150-160 chars, includes CTA -->
<meta name="description" content="Master INP optimization with proven techniques. Learn to achieve ≤200ms scores and improve Core Web Vitals. Includes code examples and benchmarks.">

Header Structure:

<h1>Main Topic (Primary Keyword)</h1>
  <h2>Section (Related Keywords)</h2>
    <h3>Subsection</h3>
  <h2>Another Section</h2>

URL Structure:

✅ Good: /guides/inp-optimization-2025
❌ Bad: /blog?p=12345&cat=seo

Internal Linking Strategy

• Use descriptive anchor text (avoid "click here")
• Link to relevant, contextual pages
• Include 3-5 internal links per 1,000 words
• Create topic clusters with pillar pages

SEO Content Checklist

Before Publishing

• Primary keyword in title tag (under 60 chars)
• Meta description (150-160 chars, compelling)
• H1 tag with primary keyword
• BLUF format (answer first)
• FAQ section with schema
• Original data/tables where relevant
• Author attribution with credentials
• Schema markup implemented
• Images optimized with alt text
• 3-5 internal links
• Core Web Vitals passing (LCP ≤2.5s, INP ≤200ms, CLS ≤0.1)
• Mobile-friendly and responsive
• Canonical tag set correctly

GEO-Specific Checklist

• Direct answer in first paragraph
• Inline citations to authoritative sources
• Data tables with original research
• Expert quotes with attribution
• FAQ schema for Q&A content
• Article schema with author details
• Content freshness (dateModified)
• Entity clarity (define terms)

Monitoring & Analytics

Traditional SEO Metrics

• Organic traffic trends
• Keyword rankings
• Click-through rates (CTR)
• Core Web Vitals scores
• Backlink profile

GEO Metrics

• Citation Velocity: How often your content is cited by AI
• Answer Inclusion Rate: % of relevant queries showing your content
• Brand Mention Frequency: Mentions in AI responses
• Source Attribution: When AI names your site as source

Tools

• Google Search Console (performance, indexing)
• Google Analytics 4 (traffic, behavior)
• PageSpeed Insights (Core Web Vitals)
• Ahrefs/SEMrush (keywords, backlinks)
• Perplexity Analytics (AI citation tracking)

References

See references/ai-seo-patterns.md for:

• Platform-specific source preferences
• Schema code examples
• Implementation checklists
• Citation boost statistics