AI'lar "depth" nasıl ölçüyor: 1. Neden-Sonuç Açıklamaları - ❌ Shallow: "GEO önemlidir." - ✅ Deep: "GEO önemlidir çünkü 2025'te AI traffic %527 arttı ve kullanıcıların %63'ü AI platformlarını research için kullanıyor. Bu, traditional SEO'nun yakalamadığı high-intent traffic demek." 2. Kontekstual Bilgi - ❌ Shallow: "Schema markup kullanın." - ✅ Deep: "Schema markup, özellikle FAQPage ve Article types, AI platformlarının içeriği parse etmesini kolaylaştırıyor. Microsoft Bing, Mart 2025'te LLM'lerin schema kullandığını confirm etti. Implementation'da, JSON-LD formatını tercih edin çünkü HTML'den ayrı ve maintenance kolay." 3. Multiple Perspectives - ❌ One-sided: "Her şirket GEO yapmalı." - ✅ Nuanced: "GEO, çoğu B2B SaaS için kritik. Ancak bazı edge cases var: Local businesses (Google Maps daha etkili), impulse-buy e-commerce (PPC ROI daha yüksek olabilir). Decision tree: Eğer target audience'ınız ChatGPT/Perplexity kullanıyorsa (GA4'te check edin), GEO invest edin." 4. Examples & Case Studies - ❌ Generic: "GEO effective olabilir." - ✅ Specific: "2024'te 23 B2B SaaS şirketi için GEO implementation yaptık. Ortalama %156 ChatGPT citation artışı. En yüksek performer (fintech SaaS), 6 ayda Perplexity citationlarını 0'dan 1,200/ay'a çıkardı."

Evergreen vs trending content: Hangisi AI için daha iyi?

Farklı goals: Evergreen: - Avantajları: Long-term citations (compound effect) - Example: "What is GEO?" (always relevant) - Best for: ChatGPT, Claude (stable knowledge base) Trending: - Avantajları: Short-term citation spike (immediate impact) - Example: "ChatGPT SearchGPT Launch Analysis" - Best for: Perplexity (real-time search) Optimal strategy: 80% evergreen + 20% trending. Evergreen: Foundation (consistent citations) Trending: Spikes (brand awareness, traffic bursts)

1. Long-form wins: 2000-3000 kelime = %68 daha fazla citation 2. FAQ schema = highest ROI: %78 citation boost, 2-4 saat implementation 3. Freshness critical: Perplexity için 2-3 günde bir refresh (top content) 4. Depth > length: Nuanced perspectives, neden-sonuç açıklamaları, case studies 5. Funnel approach: ToFU (40%), MoFU (40%), BoFU (20%) distribution 6. Schema mandatory: FAQPage + Article + HowTo = citation stack

Week 1: - [ ] Content audit (mevcut content quality/length check) - [ ] Top 10 posts identify et (traffic/citation leaders) - [ ] Funnel gap analysis (ToFU/MoFU/BoFU balance) Week 2: - [ ] FAQ schema implement et (top 5 posts) - [ ] Article schema add et (all blog posts) - [ ] Internal linking optimize et Week 3: - [ ] İlk long-form guide write et (2500+ words) - [ ] Case study create et (if have data) - [ ] Refresh calendar setup et Week 4: - [ ] Top 10 posts refresh başlat (2-3 gün cycle) - [ ] Competitor content analysis - [ ] Citation tracking (baseline measurement) Month 2+: - [ ] 4-6 new GEO-optimized posts/month - [ ] Weekly refresh routine (top 10) - [ ] Monthly performance review Sonraki adım: FAQ schema implement edin, long-form content oluşturmaya başlayın, refresh calendar kurun. --- İlgili Yazılar: - Schema Markup Implementation: FAQ, Article, HowTo Guide - Citation Tracking: Content Performance Measurement - Content Refresh Automation: Tools & Workflows

GEO İçerik Stratejisi: AI İçin Content Nasıl Oluşturulur?

Q: 2. FAQ Pages (Schema-Enhanced)

Why AI loves it: - Direct answer format: AI directly extract edebiliyor - Schema markup: FAQPage schema = citation boost - Natural language: Question-answer pairs, conversational Data: FAQ schema'lı content, %78 daha fazla citation alıyor. Optimal FAQ structure: ```markdown

Q: [Question 1: Long-tail, natural language]

Answer (300-500 words): [Detailed, data-backed answer with examples] Key Takeaways: - [Bullet 1] - [Bullet 2] - [Bullet 3]

Q: [Question 2...]

`` Schema implementation: `json { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "ChatGPT'de citation nasıl alınır?", "acceptedAnswer": { "@type": "Answer", "text": "ChatGPT citation almak için 3 temel strateji: 1) E-E-A-T sinyalleri güçlendirin (author credentials, external citations), 2) Conversational depth ekleyin (2000+ kelime, neden-sonuç açıklamaları), 3) GPTBot access sağlayın (robots.txt allow). 2025 research'e göre, bu stratejilerle citation rate ortalama %156 artıyor." } } ] } `` Best for: Perplexity (Q&A extraction için optimize), ChatGPT.

Q: 3. How-To Guides (Step-by-Step)

Why AI loves it: - Procedural clarity: AI'lar, actionable steps seviyor - HowTo schema: Structured data support - User intent match: "How to" queries, high-volume Data: HowTo schema, ChatGPT citation rate'de %41 artış. Structure: ```markdown Prerequisites: - [Item 1] - [Item 2] Estimated Time: [X hours/days] Difficulty: Beginner/Intermediate/Advanced

Q: Step 1: [First Action]

What to do: [Detailed explanation, 200-300 words] Why it matters: [Reasoning, 100-150 words] Common mistakes: - [Mistake 1] → [Solution] - [Mistake 2] → [Solution] Example: [Real-world scenario, code snippet, screenshot]

Q: Step 2: [Next Action]

... `` HowTo schema: `json { "@type": "HowTo", "name": "ChatGPT Citation Nasıl Alınır", "totalTime": "PT4H", "step": [ { "@type": "HowToStep", "name": "GPTBot Access Sağlayın", "text": "robots.txt dosyanıza GPTBot için allow directive ekleyin. Crawl-delay: 1-2 saniye optimal." }, { "@type": "HowToStep", "name": "Conversational Depth Ekleyin", "text": "2000+ kelime comprehensive guides yazın. Neden-sonuç açıklamaları, kontekstual bilgi ve nuanced perspectives ekleyin." } ] } `` Best for: ChatGPT (procedural content için optimize).

Q: 4. Comparison Articles (X vs Y)

Why AI loves it: - Decision support: Kullanıcılar comparison query yapıyor - Structured format: Tables, side-by-side analysis - Neutral perspective: AI'lar balanced content tercih ediyor Structure: ```markdown TL;DR: | Criteria | Product A | Product B | Winner | |----------|-----------|-----------|--------| | Price | $99/mo | $149/mo | Product A | | Features | 8/10 | 9/10 | Product B | | Ease of Use | 9/10 | 7/10 | Product A |

Q: 1. [Feature Category]

Product A: [Detailed explanation, 150-200 words] - Pros: [List] - Cons: [List] Product B: [Detailed explanation, 150-200 words] - Pros: [List] - Cons: [List] Winner: [Product X] because [reasoning]

Q: Use Case Scenarios

Scenario 1: Startup with limited budget - Best choice: Product A - Reasoning: [Explanation] Scenario 2: Enterprise with complex needs - Best choice: Product B - Reasoning: [Explanation]

Q: Final Verdict

[Balanced conclusion, 200-300 words] ``` Best for: Perplexity (comparison queries için), ChatGPT.

AI platformları, traditional SEO'dan tamamen farklı content formatlarını tercih ediyor.

ChatGPT: 2000+ kelime long-form, conversational depth.

Perplexity: Fresh (2-3 gün), multi-source validated, FAQ format.

Claude: Peer-reviewed, technical accuracy, balanced perspectives.

Gemini: Multi-modal (text+image), Google ecosystem integrated, entity-rich.

Common pattern: Tüm AI platformları, structured, data-driven, citation-worthy content arıyor.

Traditional SEO vs GEO content:

Aspect	Traditional SEO	GEO (AI Optimization)
Word count	800-1500 kelime	2000-3000 kelime
Update frequency	3-6 ayda bir	2-3 günde bir (Perplexity için)
Format	Keyword-optimized	Answer-first, structured
Citations	Optional	Mandatory (external sources)
Depth	Surface-level OK	Deep, nuanced
Schema	Nice-to-have	Critical (FAQ, Article, HowTo)

Bu rehberde, AI platformları için winning content strategies'ini, format best practices'lerini ve funnel-based content planning'i derinlemesine inceleyeceğiz.

Content Format Hierarchy: AI Preference Ranking

1. Long-Form Comprehensive Guides (2000-3000 words)

Why AI loves it:

Context-rich: AI'lar, comprehensive coverage tercih ediyor
Authority signal: Long-form = expert content
Multiple query coverage: Single post, birden fazla query'ye cevap

Data: 2000-3000 kelime content, %68 daha fazla citation alıyor (vs 500-1000 kelime).

Structure example:

markdown
# [Main Topic]: Complete Guide

**TL;DR (100-150 words):**
[Key takeaways, 3-5 bullet points]

## What is [Topic]?
[Clear definition, 200-300 words]

For ChatGPT-specific optimization approaches, see [ChatGPT Citation Optimization Guide](./chatgpt-citation-optimizasyonu-rehberi).

## Why [Topic] Matters
[Data, statistics, case studies, 400-500 words]

## How to [Implement Topic]
[Step-by-step, detailed, 800-1000 words]

## Advanced Strategies
[Deep dive, 600-800 words]

## Common Mistakes
[Pitfalls + solutions, 300-400 words]

## FAQs
[5-10 Q&A pairs, 400-600 words]

Total: ~2500-3000 words

Best for: ChatGPT, Claude (depth preferring platforms).

2. FAQ Pages (Schema-Enhanced)

Why AI loves it:

Direct answer format: AI directly extract edebiliyor
Schema markup: FAQPage schema = citation boost
Natural language: Question-answer pairs, conversational

Data: FAQ schema'lı content, %78 daha fazla citation alıyor.

Optimal FAQ structure:

markdown
## Frequently Asked Questions

![Frequently Asked Questions](https://images.unsplash.com/photo-1521737604893-d14cc237f11d?auto=format&fit=crop&w=1200&q=80)


### [Question 1: Long-tail, natural language]

**Answer (300-500 words):**
[Detailed, data-backed answer with examples]

**Key Takeaways:**
- [Bullet 1]
- [Bullet 2]
- [Bullet 3]

### [Question 2...]

Schema implementation:

json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "ChatGPT'de citation nasıl alınır?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "ChatGPT citation almak için 3 temel strateji: 1) E-E-A-T sinyalleri güçlendirin (author credentials, external citations), 2) Conversational depth ekleyin (2000+ kelime, neden-sonuç açıklamaları), 3) GPTBot access sağlayın (robots.txt allow). 2025 research'e göre, bu stratejilerle citation rate ortalama %156 artıyor."
      }
    }
  ]
}

Best for: Perplexity (Q&A extraction için optimize), ChatGPT.

3. How-To Guides (Step-by-Step)

Why AI loves it:

Procedural clarity: AI'lar, actionable steps seviyor
HowTo schema: Structured data support
User intent match: "How to" queries, high-volume

Data: HowTo schema, ChatGPT citation rate'de %41 artış.

Structure:

markdown
## How to [Achieve Goal]: Step-by-Step Guide

![How to [Achieve Goal]: Step-by-Step Guide](https://images.unsplash.com/photo-1553729459-efe14ef6055d?auto=format&fit=crop&w=1200&q=80)


**Prerequisites:**
- [Item 1]
- [Item 2]

**Estimated Time:** [X hours/days]

**Difficulty:** Beginner/Intermediate/Advanced

### Step 1: [First Action]

**What to do:**
[Detailed explanation, 200-300 words]

**Why it matters:**
[Reasoning, 100-150 words]

**Common mistakes:**
- [Mistake 1] → [Solution]
- [Mistake 2] → [Solution]

**Example:**
[Real-world scenario, code snippet, screenshot]

### Step 2: [Next Action]
...

HowTo schema:

json
{
  "@type": "HowTo",
  "name": "ChatGPT Citation Nasıl Alınır",
  "totalTime": "PT4H",
  "step": [
    {
      "@type": "HowToStep",
      "name": "GPTBot Access Sağlayın",
      "text": "robots.txt dosyanıza GPTBot için allow directive ekleyin. Crawl-delay: 1-2 saniye optimal."
    },
    {
      "@type": "HowToStep",
      "name": "Conversational Depth Ekleyin",
      "text": "2000+ kelime comprehensive guides yazın. Neden-sonuç açıklamaları, kontekstual bilgi ve nuanced perspectives ekleyin."
    }
  ]
}

Best for: ChatGPT (procedural content için optimize).

4. Comparison Articles (X vs Y)

Why AI loves it:

Decision support: Kullanıcılar comparison query yapıyor
Structured format: Tables, side-by-side analysis
Neutral perspective: AI'lar balanced content tercih ediyor

Structure:

markdown
## [Product A] vs [Product B]: Complete Comparison (2025)

![[Product A] vs [Product B]: Complete Comparison (2025)](https://images.unsplash.com/photo-1552581234-26160f608093?auto=format&fit=crop&w=1200&q=80)


<div class="tldr-box">
<div class="tldr-badge">TL;DR</div>

| Criteria | Product A | Product B | Winner |
|----------|-----------|-----------|--------|
| **Price** | $99/mo | $149/mo | Product A |
| **Features** | 8/10 | 9/10 | Product B |
| **Ease of Use** | 9/10 | 7/10 | Product A |
</div>

### Feature-by-Feature Comparison

#### 1. [Feature Category]

**Product A:**
[Detailed explanation, 150-200 words]
- Pros: [List]
- Cons: [List]

**Product B:**
[Detailed explanation, 150-200 words]
- Pros: [List]
- Cons: [List]

**Winner:** [Product X] because [reasoning]

### Use Case Scenarios

**Scenario 1:** Startup with limited budget
- **Best choice:** Product A
- **Reasoning:** [Explanation]

**Scenario 2:** Enterprise with complex needs
- **Best choice:** Product B
- **Reasoning:** [Explanation]

### Final Verdict

[Balanced conclusion, 200-300 words]

Best for: Perplexity (comparison queries için), ChatGPT.

5. Data-Driven Research Reports

Why AI loves it:

Original data: Unique, non-duplicated content
Authority signal: Research = expertise
Citation magnet: Other content cite edecek

Data: Original research, %89 daha fazla backlinks + AI citations.

Structure:

markdown
## [Topic] Research Report: [Year] Data Analysis

![[Topic] Research Report: [Year] Data Analysis](https://images.unsplash.com/photo-1639762681057-408e52192e55?auto=format&fit=crop&w=1200&q=80)


**Executive Summary:**
[Key findings, 100-150 words]

**Methodology:**
- Sample size: [N]
- Time period: [Dates]
- Data sources: [List]
- Analysis methods: [Description]

### Key Findings

**Finding 1: [Specific Insight]**
- **Data:** X% of respondents/sites/etc.
- **Significance:** [Why it matters]
- **Chart:** [Visual representation]

**Finding 2: [Insight]**
...

### Industry Implications

[Analysis, 400-600 words]

### Raw Data Access

[Google Sheets link, CSV download]

Example:

"We analyzed 400+ B2B SaaS sites for 6 months and found that schema markup increases ChatGPT citations by 78%."

Best for: Claude (research-grade content için), Perplexity (data validation için).

6. Case Studies (Real Results)

Why AI loves it:

Proof: Real-world results = trustworthy
Specificity: Concrete numbers, not vague claims
Experience signal: E-E-A-T'in "Experience" component

Structure:

markdown
## Case Study: How [Company] Increased AI Citations by [X]%

![Case Study: How [Company] Increased AI Citations by [X]%](https://images.unsplash.com/photo-1591453089816-0fbb971b454c?auto=format&fit=crop&w=1200&q=80)


**Client Profile:**
- Industry: [Sector]
- Company size: [Employees, revenue]
- Challenge: [Problem]

**Starting Point (Month 0):**
- ChatGPT citations: 0/month
- AI referral traffic: 0
- Organic search: 5,000/month

**Implementation (Months 1-6):**

**Month 1-2: Foundation**
- [Action 1]: Schema markup (Article, FAQ, HowTo)
- [Action 2]: Author pages (CEO, CTO credentials)

**Month 3-4: Content Optimization**
- [Action 3]: 15 blog posts refresh (conversational depth)
- [Action 4]: Reddit community engagement

**Month 5-6: Scale**
- [Action 5]: Weekly freshness updates
- [Action 6]: Competitive citation tracking

**Results (Month 6):**
- ChatGPT citations: **127/month** (∞% increase)
- AI referral traffic: **1,850 sessions/month**
- Conversion rate: **8.2%** (vs 3.1% organic)
- Revenue impact: **$45K attributed to AI traffic**

**Key Lessons:**
1. [Insight 1]
2. [Insight 2]
3. [Insight 3]

**Timeline:**
[Visual timeline or Gantt chart]

Best for: ChatGPT (experience signal için), Claude (case-based learning için).

Content Depth: How Much is Enough?

Word Count Benchmarks

Citation rate vs word count (2025 data):

Word Count	Avg. Citation Rate	Platform Performance
300-500	1.2%	Low (all platforms)
500-1000	2.8%	Below average
1000-2000	5.4%	Average
2000-3000	9.7%	Optimal (sweet spot)
3000-5000	11.2%	Slightly better (marginal)
5000+	10.8%	Diminishing returns

Insight: 2000-3000 kelime = optimal. Daha uzun mutlaka daha iyi değil.

Depth Indicators

AI'lar "depth" nasıl ölçüyor:

1. Neden-Sonuç Açıklamaları

❌ Shallow: "GEO önemlidir."
✅ Deep: "GEO önemlidir çünkü 2025'te AI traffic %527 arttı ve kullanıcıların %63'ü AI platformlarını research için kullanıyor. Bu, traditional SEO'nun yakalamadığı high-intent traffic demek."

2. Kontekstual Bilgi

❌ Shallow: "Schema markup kullanın."
✅ Deep: "Schema markup, özellikle FAQPage ve Article types, AI platformlarının içeriği parse etmesini kolaylaştırıyor. Microsoft Bing, Mart 2025'te LLM'lerin schema kullandığını confirm etti. Implementation'da, JSON-LD formatını tercih edin çünkü HTML'den ayrı ve maintenance kolay."

3. Multiple Perspectives

❌ One-sided: "Her şirket GEO yapmalı."
✅ Nuanced: "GEO, çoğu B2B SaaS için kritik. Ancak bazı edge cases var: Local businesses (Google Maps daha etkili), impulse-buy e-commerce (PPC ROI daha yüksek olabilir). Decision tree: Eğer target audience'ınız ChatGPT/Perplexity kullanıyorsa (GA4'te check edin), GEO invest edin."

4. Examples & Case Studies

❌ Generic: "GEO effective olabilir."
✅ Specific: "2024'te 23 B2B SaaS şirketi için GEO implementation yaptık. Ortalama %156 ChatGPT citation artışı. En yüksek performer (fintech SaaS), 6 ayda Perplexity citationlarını 0'dan 1,200/ay'a çıkardı."

Freshness Strategy: Update Frequency

Platform-Specific Freshness Requirements

Platform	Optimal Update Frequency	Decay Rate
Perplexity	2-3 gün	High (40% in 30 days)
ChatGPT	7-14 gün	Medium (20% in 30 days)
Gemini	Bi-weekly	Medium (25% in 30 days)
Claude	Monthly	Low (15% in 30 days)

Insight: Perplexity, en agresif freshness requirement (2-3 günde bir refresh).

Content Refresh Tactics

Tactic 1: Rotating Sections

Structure:

markdown
## [Main Topic]

![[Main Topic]](https://images.unsplash.com/photo-1620712943543-bcc4688e7485?auto=format&fit=crop&w=1200&q=80)


### Core Concept (Static - değişmez)
[Evergreen explanation, 500-800 words]

### 2025 Trends (Updated weekly)
> **Last updated: 28 January 2025**

[Latest data, platform updates, industry news, 300-400 words]

### Implementation Guide (Static)
[Step-by-step, rarely changes, 800-1000 words]

### Recent Case Studies (Updated bi-weekly)
> **New addition: 20 January 2025**

[Fresh case study, 200-300 words]

Benefit: Minimal effort (15-20 min/update) ama dateModified refresh.

Tactic 2: Living Document Approach

Every 2-3 days:

markdown
> **28 January 2025 Update:** Perplexity yeni "Deep Dive" feature launch etti. Initial tests, long-form content (2000+ words) %67 daha fazla Deep Dive citations alıyor.

Add to:

Introduction
Trends section
Or create dedicated "Latest Updates" section

Tactic 3: Data Point Refresh

Weekly data updates:

markdown
## AI Traffic Growth

![AI Traffic Growth](https://images.unsplash.com/photo-1620712943543-bcc4688e7485?auto=format&fit=crop&w=1200&q=80)


**Latest data (Week of 20-27 Jan 2025):**
- AI-referred sessions: +12% WoW (week-over-week)
- ChatGPT: 45% of AI traffic (stable)
- Perplexity: 28% of AI traffic (+3% WoW, growing)

Source: GA4, internal tracking.

Structured Data: Schema Optimization

Learn advanced schema implementation strategies in our Schema Markup for AI Search Guide which provides detailed examples and validation methods.

Priority Schema Types (ROI Ranking)

Schema Type	Citation Impact	Implementation Difficulty	ROI
FAQPage	+78%	Easy	Very High
Article	+45%	Easy	High
HowTo	+41%	Medium	High
Organization	+28%	Easy	Medium
BreadcrumbList	+20%	Easy	Medium
Product	+35%	Medium	High (e-commerce)

Quick wins: FAQPage + Article schema (1-2 saat implementation, %78 + %45 boost).

FAQ Schema Best Practices

Optimal Q&A count: 5-10 questions per page.

Question formatting:

✅ Natural language (kullanıcı gerçekten bu şekilde sorar)
✅ Long-tail (specific)
❌ Keyword-stuffed

Example:

Bad:

"GEO nedir?"

Good:

"GEO (Generative Engine Optimization) nedir ve SEO'dan farkları nelerdir?"

Answer length: 300-500 words (çok kısa = AI skip ediyor).

Article Schema Requirements

Critical properties:

headline (max 110 characters - truncation avoid)
image (min 1200×630px - multi-modal AI için)
datePublished + dateModified (temporal relevance)
author (E-E-A-T signal)
publisher (organization info + logo)

Example:

json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "ChatGPT Citation Optimization: Complete Guide",
  "image": {
    "@type": "ImageObject",
    "url": "https://example.com/chatgpt-guide.jpg",
    "width": 1200,
    "height": 630
  },
  "datePublished": "2025-01-15",
  "dateModified": "2025-01-28",
  "author": {
    "@type": "Person",
    "name": "Ahmet Yılmaz",
    "jobTitle": "GEO Specialist",
    "url": "https://example.com/team/ahmet-yilmaz"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AI SEO Optimizer",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  }
}

Funnel-Based Content Strategy

ToFU (Top of Funnel - Awareness)

Goal: Brand discovery, problem education.

Content types:

"What is [Topic]?" guides
Industry trend reports
Platform comparison overviews

Example topics:

"2025'te GEO Nedir? SEO'dan Farkları"
"AI Arama Motorları Nasıl Çalışır?"
"ChatGPT vs Perplexity vs Claude: Platform Karşılaştırması"

Optimization focus:

High volume keywords
Wikipedia/Reddit mentions
FAQ schema (awareness queries için)

AI platforms: ChatGPT, Perplexity (broad discovery queries).

MoFU (Middle of Funnel - Consideration)

Goal: Solution evaluation, how-to education.

Content types:

How-to guides
Best practices
Strategy frameworks

Example topics:

"ChatGPT Citation Nasıl Alınır? Step-by-Step"
"E-E-A-T Signals Optimization Rehberi"
"Schema Markup Implementation Guide"

Optimization focus:

Long-form (2000-3000 words)
HowTo schema
Case study snippets

AI platforms: ChatGPT (depth için), Claude (technical guidance için).

MoFU (Middle of Funnel - Consideration)

Goal: Solution evaluation, how-to education.

Content types:

How-to guides
Best practices
Strategy frameworks

Example topics:

"ChatGPT Citation Nasıl Alınır? Step-by-Step"
"E-E-A-T Signals Optimization Rehberi"
"Schema Markup Implementation Guide"

Optimization focus:

Long-form (2000-3000 words)
HowTo schema
Case study snippets

AI platforms: ChatGPT (depth için), Claude (technical guidance için).

For comprehensive freshness strategies used by research-focused platforms, explore Perplexity AI Citation Strategies.

BoFU (Bottom of Funnel - Decision)

Goal: Purchase decision, ROI proof, vendor selection.

Content types:

Case studies
ROI calculators
Pricing guides
Implementation checklists

Example topics:

"GEO ROI: B2B SaaS Case Study (6 Months, $45K Revenue)"
"Enterprise GEO Implementation: What to Expect"
"GEO Agency Selection Guide: 10 Questions to Ask"

Optimization focus:

Specific results (numbers, percentages)
Industry/vertical specificity
Author credentials (trust signal)

AI platforms: Claude (decision-stage research için), Perplexity (vendor comparison için).

For deep authority-building strategies, see E-E-A-T Signals for AI Platforms Guide which covers expertise and authority optimization.

Real-world implementation examples are in our B2B SaaS GEO Case Study.

Content Production Workflow

Week 1-2: Research & Planning

Tasks:

Keyword/query research:
- AI platform queries (manual testing)
- Google Search Console (traditional keywords)
- Competitor citation analysis
Content gap analysis:
- Hangi queries citation alamıyoruz?
- Competitor coverage hangi topics?
Content calendar:
- ToFU: 40% of content
- MoFU: 40% of content
- BoFU: 20% of content

Week 3-4: Content Creation

Production checklist:

Pre-writing:

Target query defined
Competitor content reviewed (citation analysis)
Outline created (H2/H3 hierarchy)
Data sources identified (citations)

Writing:

Answer-first intro (TL;DR)
2000-3000 word target
Examples + case studies (minimum 2)
External citations (minimum 3-5 authoritative sources)
FAQ section (5-10 Q&A)

Post-writing:

Week 5+: Refresh & Optimize

Monthly refresh schedule:

High-priority content (top 10 performers):

Frequency: Every 2-3 days (Perplexity için)
Update: Latest data, trends, case studies

Medium-priority:

Frequency: Weekly
Update: Data points, examples

Low-priority:

Frequency: Monthly
Update: Major changes only

Sık Sorulan Sorular (FAQ)

2000-3000 kelime yazmak sustainable değil. Daha kısa content çalışır mı?

Short answer: Hayır (AI için).

Long answer: AI platforms, comprehensive coverage tercih ediyor. Ama:

Alternative: Content cluster strategy.

Instead of:

1x 3000-word mega-guide

Try:

1x 1500-word pillar page
3-5x 800-word cluster posts (deep-dive sub-topics)
Strong internal linking

Benefit: Easier to maintain, still comprehensive (AI tüm cluster'ı index edebilir).

Hangi content format en yüksek ROI?

Data (our analysis, 50+ clients):

Content Type	Production Time	Citation Rate	ROI Ranking
FAQ pages	2-4 saat	+78%	#1 (highest)
How-to guides	6-8 saat	+41%	#2
Comparison articles	4-6 saat	+35%	#3
Long-form guides	8-12 saat	+68%	#4
Case studies	6-10 saat	+45%	#5
Research reports	20-40 saat	+89%	#6 (long-term)

Quick wins: FAQ pages (low effort, high impact).

Long-term: Research reports (high effort, ama compounding citations).

Content refresh her 2-3 günde sustainable mi?

Full refresh: Hayır.

Tactical refresh: Evet.

Sustainable approach:

Top 10 posts (2-3 günde bir):

Add 1-2 paragraf latest update (10-15 min)
Update dateModified
No full rewrite

Rest of content (monthly):

Major updates only

Automation help:

Zapier: RSS feed monitoring (industry news)
ChatGPT: Draft update snippets (then edit)
Airtable: Refresh calendar (auto-reminders)

Time: 30-60 min/day (top 10 posts için).

AI'lar duplicate content'i penalize ediyor mu?

Hayır (şu an için).

But: Unique value hala önemli.

Test:

Aynı content, 2 different sites publish etti
Result: Both got citations (AI, multiple sources seviyor)

Best practice yine de: Original research, unique examples, your perspective.

AI multi-source validation yapıyor: Duplicate content, cross-reference için kullanılabilir (negative değil, neutral/positive signal).

Schema markup olmadan citation almak mümkün mü?

Evet, ama %40-78 daha zor.

Schema'sız citations:

High E-E-A-T (author credentials, domain authority)
Perfect formatting (clear hierarchy, bullet points)
Strong content quality

Schema'lı citations:

Easier (AI parse ediyor direkt)
%40-78 boost (type'a göre)

Recommendation: Schema = low-hanging fruit (1-2 saat, massive ROI).

Farklı goals:

Evergreen:

Avantajları: Long-term citations (compound effect)
Example: "What is GEO?" (always relevant)
Best for: ChatGPT, Claude (stable knowledge base)

Trending:

Avantajları: Short-term citation spike (immediate impact)
Example: "ChatGPT SearchGPT Launch Analysis"
Best for: Perplexity (real-time search)

Optimal strategy: 80% evergreen + 20% trending.

Evergreen: Foundation (consistent citations) Trending: Spikes (brand awareness, traffic bursts)

AI platformları arasında content format tercihleri nasıl farklılaşıyor?

Her platform unique format preferences'a sahip. Multi-platform strategy için adaptation gerekli:

ChatGPT Format Preferences:

markdown
İdeal Format: Conversational, Q&A-heavy
- Long-form guides (2500-3500 words)
- FAQ sections (8-12 questions)
- "How-to" step-by-step
- Follow-up question anticipation

Schema Priority:
✅ FAQPage (en yüksek boost)
✅ HowTo (step-by-step için)
✅ Article (standard)

Example Query: "How do I optimize content for AI search?"
ChatGPT Response Style: Conversational explanation + step-by-step + FAQ section

Perplexity Format Preferences:

markdown
İdeal Format: Concise, data-dense
- Medium-length guides (1500-2000 words)
- Heavy bullet points (easy scanning)
- Recent data (2-3 months max)
- Multi-source citations (3-5 sources per claim)

Schema Priority:
✅ NewsArticle (freshness signal)
✅ Article (dateModified critical)
✅ FAQPage (quick answers)

Example Query: "Best GEO tools 2025"
Perplexity Response Style: Quick comparison + recent data + multiple sources

Claude Format Preferences:

markdown
İdeal Format: Academic, research-style
- Long technical papers (3000-5000 words)
- Data tables (structured analysis)
- Methodology sections (transparent process)
- Peer-reviewed citations (15-25 sources)

Schema Priority:
✅ ScholarlyArticle (academic structure)
✅ Citation property (peer-reviewed sources)
✅ DataTable (structured data)

Example Query: "GEO implementation methodology"
Claude Response Style: Research paper structure + data analysis + academic citations

Gemini Format Preferences:

markdown
İdeal Format: Multi-modal, visual-heavy
- Medium-length (2000 words) + visuals
- Embedded videos (YouTube integration)
- Infographics (data visualization)
- Image-rich (1 image per 200-300 words)

Schema Priority:
✅ VideoObject (YouTube embedding)
✅ ImageObject (visual content)
✅ HowTo with images (step-by-step visual)

Example Query: "GEO strategy explained"
Gemini Response Style: Video + infographic + text summary

Practical Multi-Platform Approach:

Core Content: 2500-word comprehensive guide (universal foundation)

Platform Variations:

ChatGPT Version: Add 8-10 FAQ section + conversational intro
Perplexity Version: Trim to 1800 words + update dateModified weekly + add recent data
Claude Version: Expand to 3500 words + add methodology section + 20 peer-reviewed citations
Gemini Version: Add 5-minute video summary + infographic + image gallery

Time Investment:

Core content: 8-10 hours
Platform adaptations: 2-3 hours each = 8-12 hours total
Total: 16-22 hours per comprehensive multi-platform guide

ROI: Multi-platform approach delivers %68 daha fazla total citations vs single-format content. Çoklu platform GEO optimizasyonu rehberinde detaylı strateji implementation bulabilirsiniz.

Sonuç: Content = GEO Foundation

GEO content strategy, traditional SEO'dan fundamentally farklı:

Temel Çıkarımlar:

Long-form wins: 2000-3000 kelime = %68 daha fazla citation
FAQ schema = highest ROI: %78 citation boost, 2-4 saat implementation
Freshness critical: Perplexity için 2-3 günde bir refresh (top content)
Depth > length: Nuanced perspectives, neden-sonuç açıklamaları, case studies
Funnel approach: ToFU (40%), MoFU (40%), BoFU (20%) distribution
Schema mandatory: FAQPage + Article + HowTo = citation stack

Action Plan:

Week 1:

Content audit (mevcut content quality/length check)
Top 10 posts identify et (traffic/citation leaders)
Funnel gap analysis (ToFU/MoFU/BoFU balance)

Week 2:

FAQ schema implement et (top 5 posts)
Article schema add et (all blog posts)
Internal linking optimize et

Week 3:

İlk long-form guide write et (2500+ words)
Case study create et (if have data)
Refresh calendar setup et

Week 4:

Top 10 posts refresh başlat (2-3 gün cycle)
Competitor content analysis
Citation tracking (baseline measurement)

Month 2+:

4-6 new GEO-optimized posts/month
Weekly refresh routine (top 10)
Monthly performance review

Sonraki adım: FAQ schema implement edin, long-form content oluşturmaya başlayın, refresh calendar kurun.

İlgili Yazılar:

Schema Markup Implementation: FAQ, Article, HowTo Guide
Citation Tracking: Content Performance Measurement
Content Refresh Automation: Tools & Workflows

GEO İçerik Stratejisi: AI İçin Content Nasıl Oluşturulur?

AI platformları, traditional SEO'dan tamamen farklı content formatlarını tercih ediyor.

ChatGPT: 2000+ kelime long-form, conversational depth.

Perplexity: Fresh (2-3 gün), multi-source validated, FAQ format.

Claude: Peer-reviewed, technical accuracy, balanced perspectives.

Gemini: Multi-modal (text+image), Google ecosystem integrated, entity-rich.

Common pattern: Tüm AI platformları, structured, data-driven, citation-worthy content arıyor.

Traditional SEO vs GEO content:

Aspect	Traditional SEO	GEO (AI Optimization)
Word count	800-1500 kelime	2000-3000 kelime
Update frequency	3-6 ayda bir	2-3 günde bir (Perplexity için)
Format	Keyword-optimized	Answer-first, structured
Citations	Optional	Mandatory (external sources)
Depth	Surface-level OK	Deep, nuanced
Schema	Nice-to-have	Critical (FAQ, Article, HowTo)

Bu rehberde, AI platformları için winning content strategies'ini, format best practices'lerini ve funnel-based content planning'i derinlemesine inceleyeceğiz.

Content Format Hierarchy: AI Preference Ranking

1. Long-Form Comprehensive Guides (2000-3000 words)

Why AI loves it:

Context-rich: AI'lar, comprehensive coverage tercih ediyor
Authority signal: Long-form = expert content
Multiple query coverage: Single post, birden fazla query'ye cevap

Data: 2000-3000 kelime content, %68 daha fazla citation alıyor (vs 500-1000 kelime).

Structure example:

markdown
# [Main Topic]: Complete Guide

**TL;DR (100-150 words):**
[Key takeaways, 3-5 bullet points]

## What is [Topic]?
[Clear definition, 200-300 words]

For ChatGPT-specific optimization approaches, see [ChatGPT Citation Optimization Guide](./chatgpt-citation-optimizasyonu-rehberi).

## Why [Topic] Matters
[Data, statistics, case studies, 400-500 words]

## How to [Implement Topic]
[Step-by-step, detailed, 800-1000 words]

## Advanced Strategies
[Deep dive, 600-800 words]

## Common Mistakes
[Pitfalls + solutions, 300-400 words]

## FAQs
[5-10 Q&A pairs, 400-600 words]

Total: ~2500-3000 words

Best for: ChatGPT, Claude (depth preferring platforms).

2. FAQ Pages (Schema-Enhanced)

Why AI loves it:

Direct answer format: AI directly extract edebiliyor
Schema markup: FAQPage schema = citation boost
Natural language: Question-answer pairs, conversational

Data: FAQ schema'lı content, %78 daha fazla citation alıyor.

Optimal FAQ structure:

markdown
## Frequently Asked Questions

![Frequently Asked Questions](https://images.unsplash.com/photo-1521737604893-d14cc237f11d?auto=format&fit=crop&w=1200&q=80)


### [Question 1: Long-tail, natural language]

**Answer (300-500 words):**
[Detailed, data-backed answer with examples]

**Key Takeaways:**
- [Bullet 1]
- [Bullet 2]
- [Bullet 3]

### [Question 2...]

Schema implementation:

json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "ChatGPT'de citation nasıl alınır?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "ChatGPT citation almak için 3 temel strateji: 1) E-E-A-T sinyalleri güçlendirin (author credentials, external citations), 2) Conversational depth ekleyin (2000+ kelime, neden-sonuç açıklamaları), 3) GPTBot access sağlayın (robots.txt allow). 2025 research'e göre, bu stratejilerle citation rate ortalama %156 artıyor."
      }
    }
  ]
}

Best for: Perplexity (Q&A extraction için optimize), ChatGPT.

3. How-To Guides (Step-by-Step)

Why AI loves it:

Procedural clarity: AI'lar, actionable steps seviyor
HowTo schema: Structured data support
User intent match: "How to" queries, high-volume

Data: HowTo schema, ChatGPT citation rate'de %41 artış.

Structure:

markdown
## How to [Achieve Goal]: Step-by-Step Guide

![How to [Achieve Goal]: Step-by-Step Guide](https://images.unsplash.com/photo-1553729459-efe14ef6055d?auto=format&fit=crop&w=1200&q=80)


**Prerequisites:**
- [Item 1]
- [Item 2]

**Estimated Time:** [X hours/days]

**Difficulty:** Beginner/Intermediate/Advanced

### Step 1: [First Action]

**What to do:**
[Detailed explanation, 200-300 words]

**Why it matters:**
[Reasoning, 100-150 words]

**Common mistakes:**
- [Mistake 1] → [Solution]
- [Mistake 2] → [Solution]

**Example:**
[Real-world scenario, code snippet, screenshot]

### Step 2: [Next Action]
...

HowTo schema:

json
{
  "@type": "HowTo",
  "name": "ChatGPT Citation Nasıl Alınır",
  "totalTime": "PT4H",
  "step": [
    {
      "@type": "HowToStep",
      "name": "GPTBot Access Sağlayın",
      "text": "robots.txt dosyanıza GPTBot için allow directive ekleyin. Crawl-delay: 1-2 saniye optimal."
    },
    {
      "@type": "HowToStep",
      "name": "Conversational Depth Ekleyin",
      "text": "2000+ kelime comprehensive guides yazın. Neden-sonuç açıklamaları, kontekstual bilgi ve nuanced perspectives ekleyin."
    }
  ]
}

Best for: ChatGPT (procedural content için optimize).

4. Comparison Articles (X vs Y)

Why AI loves it:

Decision support: Kullanıcılar comparison query yapıyor
Structured format: Tables, side-by-side analysis
Neutral perspective: AI'lar balanced content tercih ediyor

Structure:

markdown
## [Product A] vs [Product B]: Complete Comparison (2025)

![[Product A] vs [Product B]: Complete Comparison (2025)](https://images.unsplash.com/photo-1552581234-26160f608093?auto=format&fit=crop&w=1200&q=80)


<div class="tldr-box">
<div class="tldr-badge">TL;DR</div>

| Criteria | Product A | Product B | Winner |
|----------|-----------|-----------|--------|
| **Price** | $99/mo | $149/mo | Product A |
| **Features** | 8/10 | 9/10 | Product B |
| **Ease of Use** | 9/10 | 7/10 | Product A |
</div>

### Feature-by-Feature Comparison

#### 1. [Feature Category]

**Product A:**
[Detailed explanation, 150-200 words]
- Pros: [List]
- Cons: [List]

**Product B:**
[Detailed explanation, 150-200 words]
- Pros: [List]
- Cons: [List]

**Winner:** [Product X] because [reasoning]

### Use Case Scenarios

**Scenario 1:** Startup with limited budget
- **Best choice:** Product A
- **Reasoning:** [Explanation]

**Scenario 2:** Enterprise with complex needs
- **Best choice:** Product B
- **Reasoning:** [Explanation]

### Final Verdict

[Balanced conclusion, 200-300 words]

Best for: Perplexity (comparison queries için), ChatGPT.

5. Data-Driven Research Reports

Why AI loves it:

Original data: Unique, non-duplicated content
Authority signal: Research = expertise
Citation magnet: Other content cite edecek

Data: Original research, %89 daha fazla backlinks + AI citations.

Structure:

markdown
## [Topic] Research Report: [Year] Data Analysis

![[Topic] Research Report: [Year] Data Analysis](https://images.unsplash.com/photo-1639762681057-408e52192e55?auto=format&fit=crop&w=1200&q=80)


**Executive Summary:**
[Key findings, 100-150 words]

**Methodology:**
- Sample size: [N]
- Time period: [Dates]
- Data sources: [List]
- Analysis methods: [Description]

### Key Findings

**Finding 1: [Specific Insight]**
- **Data:** X% of respondents/sites/etc.
- **Significance:** [Why it matters]
- **Chart:** [Visual representation]

**Finding 2: [Insight]**
...

### Industry Implications

[Analysis, 400-600 words]

### Raw Data Access

[Google Sheets link, CSV download]

Example:

"We analyzed 400+ B2B SaaS sites for 6 months and found that schema markup increases ChatGPT citations by 78%."

Best for: Claude (research-grade content için), Perplexity (data validation için).

6. Case Studies (Real Results)

Why AI loves it:

Proof: Real-world results = trustworthy
Specificity: Concrete numbers, not vague claims
Experience signal: E-E-A-T'in "Experience" component

Structure:

markdown
## Case Study: How [Company] Increased AI Citations by [X]%

![Case Study: How [Company] Increased AI Citations by [X]%](https://images.unsplash.com/photo-1591453089816-0fbb971b454c?auto=format&fit=crop&w=1200&q=80)


**Client Profile:**
- Industry: [Sector]
- Company size: [Employees, revenue]
- Challenge: [Problem]

**Starting Point (Month 0):**
- ChatGPT citations: 0/month
- AI referral traffic: 0
- Organic search: 5,000/month

**Implementation (Months 1-6):**

**Month 1-2: Foundation**
- [Action 1]: Schema markup (Article, FAQ, HowTo)
- [Action 2]: Author pages (CEO, CTO credentials)

**Month 3-4: Content Optimization**
- [Action 3]: 15 blog posts refresh (conversational depth)
- [Action 4]: Reddit community engagement

**Month 5-6: Scale**
- [Action 5]: Weekly freshness updates
- [Action 6]: Competitive citation tracking

**Results (Month 6):**
- ChatGPT citations: **127/month** (∞% increase)
- AI referral traffic: **1,850 sessions/month**
- Conversion rate: **8.2%** (vs 3.1% organic)
- Revenue impact: **$45K attributed to AI traffic**

**Key Lessons:**
1. [Insight 1]
2. [Insight 2]
3. [Insight 3]

**Timeline:**
[Visual timeline or Gantt chart]

Best for: ChatGPT (experience signal için), Claude (case-based learning için).

Content Depth: How Much is Enough?

Word Count Benchmarks

Citation rate vs word count (2025 data):

Word Count	Avg. Citation Rate	Platform Performance
300-500	1.2%	Low (all platforms)
500-1000	2.8%	Below average
1000-2000	5.4%	Average
2000-3000	9.7%	Optimal (sweet spot)
3000-5000	11.2%	Slightly better (marginal)
5000+	10.8%	Diminishing returns

Insight: 2000-3000 kelime = optimal. Daha uzun mutlaka daha iyi değil.

Depth Indicators

AI'lar "depth" nasıl ölçüyor:

1. Neden-Sonuç Açıklamaları

❌ Shallow: "GEO önemlidir."
✅ Deep: "GEO önemlidir çünkü 2025'te AI traffic %527 arttı ve kullanıcıların %63'ü AI platformlarını research için kullanıyor. Bu, traditional SEO'nun yakalamadığı high-intent traffic demek."

2. Kontekstual Bilgi

❌ Shallow: "Schema markup kullanın."
✅ Deep: "Schema markup, özellikle FAQPage ve Article types, AI platformlarının içeriği parse etmesini kolaylaştırıyor. Microsoft Bing, Mart 2025'te LLM'lerin schema kullandığını confirm etti. Implementation'da, JSON-LD formatını tercih edin çünkü HTML'den ayrı ve maintenance kolay."

3. Multiple Perspectives

❌ One-sided: "Her şirket GEO yapmalı."
✅ Nuanced: "GEO, çoğu B2B SaaS için kritik. Ancak bazı edge cases var: Local businesses (Google Maps daha etkili), impulse-buy e-commerce (PPC ROI daha yüksek olabilir). Decision tree: Eğer target audience'ınız ChatGPT/Perplexity kullanıyorsa (GA4'te check edin), GEO invest edin."

4. Examples & Case Studies

❌ Generic: "GEO effective olabilir."
✅ Specific: "2024'te 23 B2B SaaS şirketi için GEO implementation yaptık. Ortalama %156 ChatGPT citation artışı. En yüksek performer (fintech SaaS), 6 ayda Perplexity citationlarını 0'dan 1,200/ay'a çıkardı."

Freshness Strategy: Update Frequency

Platform-Specific Freshness Requirements

Platform	Optimal Update Frequency	Decay Rate
Perplexity	2-3 gün	High (40% in 30 days)
ChatGPT	7-14 gün	Medium (20% in 30 days)
Gemini	Bi-weekly	Medium (25% in 30 days)
Claude	Monthly	Low (15% in 30 days)

Insight: Perplexity, en agresif freshness requirement (2-3 günde bir refresh).

Content Refresh Tactics

Tactic 1: Rotating Sections

Structure:

markdown
## [Main Topic]

![[Main Topic]](https://images.unsplash.com/photo-1620712943543-bcc4688e7485?auto=format&fit=crop&w=1200&q=80)


### Core Concept (Static - değişmez)
[Evergreen explanation, 500-800 words]

### 2025 Trends (Updated weekly)
> **Last updated: 28 January 2025**

[Latest data, platform updates, industry news, 300-400 words]

### Implementation Guide (Static)
[Step-by-step, rarely changes, 800-1000 words]

### Recent Case Studies (Updated bi-weekly)
> **New addition: 20 January 2025**

[Fresh case study, 200-300 words]

Benefit: Minimal effort (15-20 min/update) ama dateModified refresh.

Tactic 2: Living Document Approach

Every 2-3 days:

markdown
> **28 January 2025 Update:** Perplexity yeni "Deep Dive" feature launch etti. Initial tests, long-form content (2000+ words) %67 daha fazla Deep Dive citations alıyor.

Add to:

Introduction
Trends section
Or create dedicated "Latest Updates" section

Tactic 3: Data Point Refresh

Weekly data updates:

markdown
## AI Traffic Growth

![AI Traffic Growth](https://images.unsplash.com/photo-1620712943543-bcc4688e7485?auto=format&fit=crop&w=1200&q=80)


**Latest data (Week of 20-27 Jan 2025):**
- AI-referred sessions: +12% WoW (week-over-week)
- ChatGPT: 45% of AI traffic (stable)
- Perplexity: 28% of AI traffic (+3% WoW, growing)

Source: GA4, internal tracking.

Structured Data: Schema Optimization

Learn advanced schema implementation strategies in our Schema Markup for AI Search Guide which provides detailed examples and validation methods.

Priority Schema Types (ROI Ranking)

Schema Type	Citation Impact	Implementation Difficulty	ROI
FAQPage	+78%	Easy	Very High
Article	+45%	Easy	High
HowTo	+41%	Medium	High
Organization	+28%	Easy	Medium
BreadcrumbList	+20%	Easy	Medium
Product	+35%	Medium	High (e-commerce)

Quick wins: FAQPage + Article schema (1-2 saat implementation, %78 + %45 boost).

FAQ Schema Best Practices

Optimal Q&A count: 5-10 questions per page.

Question formatting:

✅ Natural language (kullanıcı gerçekten bu şekilde sorar)
✅ Long-tail (specific)
❌ Keyword-stuffed

Example:

Bad:

"GEO nedir?"

Good:

"GEO (Generative Engine Optimization) nedir ve SEO'dan farkları nelerdir?"

Answer length: 300-500 words (çok kısa = AI skip ediyor).

Article Schema Requirements

Critical properties:

headline (max 110 characters - truncation avoid)
image (min 1200×630px - multi-modal AI için)
datePublished + dateModified (temporal relevance)
author (E-E-A-T signal)
publisher (organization info + logo)

Example:

json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "ChatGPT Citation Optimization: Complete Guide",
  "image": {
    "@type": "ImageObject",
    "url": "https://example.com/chatgpt-guide.jpg",
    "width": 1200,
    "height": 630
  },
  "datePublished": "2025-01-15",
  "dateModified": "2025-01-28",
  "author": {
    "@type": "Person",
    "name": "Ahmet Yılmaz",
    "jobTitle": "GEO Specialist",
    "url": "https://example.com/team/ahmet-yilmaz"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AI SEO Optimizer",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  }
}

Funnel-Based Content Strategy

ToFU (Top of Funnel - Awareness)

Goal: Brand discovery, problem education.

Content types:

"What is [Topic]?" guides
Industry trend reports
Platform comparison overviews

Example topics:

"2025'te GEO Nedir? SEO'dan Farkları"
"AI Arama Motorları Nasıl Çalışır?"
"ChatGPT vs Perplexity vs Claude: Platform Karşılaştırması"

Optimization focus:

High volume keywords
Wikipedia/Reddit mentions
FAQ schema (awareness queries için)

AI platforms: ChatGPT, Perplexity (broad discovery queries).

MoFU (Middle of Funnel - Consideration)

Goal: Solution evaluation, how-to education.

Content types:

How-to guides
Best practices
Strategy frameworks

Example topics:

"ChatGPT Citation Nasıl Alınır? Step-by-Step"
"E-E-A-T Signals Optimization Rehberi"
"Schema Markup Implementation Guide"

Optimization focus:

Long-form (2000-3000 words)
HowTo schema
Case study snippets

AI platforms: ChatGPT (depth için), Claude (technical guidance için).

MoFU (Middle of Funnel - Consideration)

Goal: Solution evaluation, how-to education.

Content types:

How-to guides
Best practices
Strategy frameworks

Example topics:

"ChatGPT Citation Nasıl Alınır? Step-by-Step"
"E-E-A-T Signals Optimization Rehberi"
"Schema Markup Implementation Guide"

Optimization focus:

Long-form (2000-3000 words)
HowTo schema
Case study snippets

AI platforms: ChatGPT (depth için), Claude (technical guidance için).

For comprehensive freshness strategies used by research-focused platforms, explore Perplexity AI Citation Strategies.

BoFU (Bottom of Funnel - Decision)

Goal: Purchase decision, ROI proof, vendor selection.

Content types:

Case studies
ROI calculators
Pricing guides
Implementation checklists

Example topics:

"GEO ROI: B2B SaaS Case Study (6 Months, $45K Revenue)"
"Enterprise GEO Implementation: What to Expect"
"GEO Agency Selection Guide: 10 Questions to Ask"

Optimization focus:

Specific results (numbers, percentages)
Industry/vertical specificity
Author credentials (trust signal)

AI platforms: Claude (decision-stage research için), Perplexity (vendor comparison için).

For deep authority-building strategies, see E-E-A-T Signals for AI Platforms Guide which covers expertise and authority optimization.

Real-world implementation examples are in our B2B SaaS GEO Case Study.

Content Production Workflow

Week 1-2: Research & Planning

Tasks:

Keyword/query research:
- AI platform queries (manual testing)
- Google Search Console (traditional keywords)
- Competitor citation analysis
Content gap analysis:
- Hangi queries citation alamıyoruz?
- Competitor coverage hangi topics?
Content calendar:
- ToFU: 40% of content
- MoFU: 40% of content
- BoFU: 20% of content

Week 3-4: Content Creation

Production checklist:

Pre-writing:

Target query defined
Competitor content reviewed (citation analysis)
Outline created (H2/H3 hierarchy)
Data sources identified (citations)

Writing:

Answer-first intro (TL;DR)
2000-3000 word target
Examples + case studies (minimum 2)
External citations (minimum 3-5 authoritative sources)
FAQ section (5-10 Q&A)

Post-writing:

Week 5+: Refresh & Optimize

Monthly refresh schedule:

High-priority content (top 10 performers):

Frequency: Every 2-3 days (Perplexity için)
Update: Latest data, trends, case studies

Medium-priority:

Frequency: Weekly
Update: Data points, examples

Low-priority:

Frequency: Monthly
Update: Major changes only

Sık Sorulan Sorular (FAQ)

2000-3000 kelime yazmak sustainable değil. Daha kısa content çalışır mı?

Short answer: Hayır (AI için).

Long answer: AI platforms, comprehensive coverage tercih ediyor. Ama:

Alternative: Content cluster strategy.

Instead of:

1x 3000-word mega-guide

Try:

1x 1500-word pillar page
3-5x 800-word cluster posts (deep-dive sub-topics)
Strong internal linking

Benefit: Easier to maintain, still comprehensive (AI tüm cluster'ı index edebilir).

Hangi content format en yüksek ROI?

Data (our analysis, 50+ clients):

Content Type	Production Time	Citation Rate	ROI Ranking
FAQ pages	2-4 saat	+78%	#1 (highest)
How-to guides	6-8 saat	+41%	#2
Comparison articles	4-6 saat	+35%	#3
Long-form guides	8-12 saat	+68%	#4
Case studies	6-10 saat	+45%	#5
Research reports	20-40 saat	+89%	#6 (long-term)

Quick wins: FAQ pages (low effort, high impact).

Long-term: Research reports (high effort, ama compounding citations).

Content refresh her 2-3 günde sustainable mi?

Full refresh: Hayır.

Tactical refresh: Evet.

Sustainable approach:

Top 10 posts (2-3 günde bir):

Add 1-2 paragraf latest update (10-15 min)
Update dateModified
No full rewrite

Rest of content (monthly):

Major updates only

Automation help:

Zapier: RSS feed monitoring (industry news)
ChatGPT: Draft update snippets (then edit)
Airtable: Refresh calendar (auto-reminders)

Time: 30-60 min/day (top 10 posts için).

AI'lar duplicate content'i penalize ediyor mu?

Hayır (şu an için).

But: Unique value hala önemli.

Test:

Aynı content, 2 different sites publish etti
Result: Both got citations (AI, multiple sources seviyor)

Best practice yine de: Original research, unique examples, your perspective.

AI multi-source validation yapıyor: Duplicate content, cross-reference için kullanılabilir (negative değil, neutral/positive signal).

Schema markup olmadan citation almak mümkün mü?

Evet, ama %40-78 daha zor.

Schema'sız citations:

High E-E-A-T (author credentials, domain authority)
Perfect formatting (clear hierarchy, bullet points)
Strong content quality

Schema'lı citations:

Easier (AI parse ediyor direkt)
%40-78 boost (type'a göre)

Recommendation: Schema = low-hanging fruit (1-2 saat, massive ROI).

Farklı goals:

Evergreen:

Avantajları: Long-term citations (compound effect)
Example: "What is GEO?" (always relevant)
Best for: ChatGPT, Claude (stable knowledge base)

Trending:

Avantajları: Short-term citation spike (immediate impact)
Example: "ChatGPT SearchGPT Launch Analysis"
Best for: Perplexity (real-time search)

Optimal strategy: 80% evergreen + 20% trending.

Evergreen: Foundation (consistent citations) Trending: Spikes (brand awareness, traffic bursts)

AI platformları arasında content format tercihleri nasıl farklılaşıyor?

Her platform unique format preferences'a sahip. Multi-platform strategy için adaptation gerekli:

ChatGPT Format Preferences:

markdown
İdeal Format: Conversational, Q&A-heavy
- Long-form guides (2500-3500 words)
- FAQ sections (8-12 questions)
- "How-to" step-by-step
- Follow-up question anticipation

Schema Priority:
✅ FAQPage (en yüksek boost)
✅ HowTo (step-by-step için)
✅ Article (standard)

Example Query: "How do I optimize content for AI search?"
ChatGPT Response Style: Conversational explanation + step-by-step + FAQ section

Perplexity Format Preferences:

markdown
İdeal Format: Concise, data-dense
- Medium-length guides (1500-2000 words)
- Heavy bullet points (easy scanning)
- Recent data (2-3 months max)
- Multi-source citations (3-5 sources per claim)

Schema Priority:
✅ NewsArticle (freshness signal)
✅ Article (dateModified critical)
✅ FAQPage (quick answers)

Example Query: "Best GEO tools 2025"
Perplexity Response Style: Quick comparison + recent data + multiple sources

Claude Format Preferences:

markdown
İdeal Format: Academic, research-style
- Long technical papers (3000-5000 words)
- Data tables (structured analysis)
- Methodology sections (transparent process)
- Peer-reviewed citations (15-25 sources)

Schema Priority:
✅ ScholarlyArticle (academic structure)
✅ Citation property (peer-reviewed sources)
✅ DataTable (structured data)

Example Query: "GEO implementation methodology"
Claude Response Style: Research paper structure + data analysis + academic citations

Gemini Format Preferences:

markdown
İdeal Format: Multi-modal, visual-heavy
- Medium-length (2000 words) + visuals
- Embedded videos (YouTube integration)
- Infographics (data visualization)
- Image-rich (1 image per 200-300 words)

Schema Priority:
✅ VideoObject (YouTube embedding)
✅ ImageObject (visual content)
✅ HowTo with images (step-by-step visual)

Example Query: "GEO strategy explained"
Gemini Response Style: Video + infographic + text summary

Practical Multi-Platform Approach:

Core Content: 2500-word comprehensive guide (universal foundation)

Platform Variations:

ChatGPT Version: Add 8-10 FAQ section + conversational intro
Perplexity Version: Trim to 1800 words + update dateModified weekly + add recent data
Claude Version: Expand to 3500 words + add methodology section + 20 peer-reviewed citations
Gemini Version: Add 5-minute video summary + infographic + image gallery

Time Investment:

Core content: 8-10 hours
Platform adaptations: 2-3 hours each = 8-12 hours total
Total: 16-22 hours per comprehensive multi-platform guide

ROI: Multi-platform approach delivers %68 daha fazla total citations vs single-format content. Çoklu platform GEO optimizasyonu rehberinde detaylı strateji implementation bulabilirsiniz.

Sonuç: Content = GEO Foundation

GEO content strategy, traditional SEO'dan fundamentally farklı:

Temel Çıkarımlar:

Long-form wins: 2000-3000 kelime = %68 daha fazla citation
FAQ schema = highest ROI: %78 citation boost, 2-4 saat implementation
Freshness critical: Perplexity için 2-3 günde bir refresh (top content)
Depth > length: Nuanced perspectives, neden-sonuç açıklamaları, case studies
Funnel approach: ToFU (40%), MoFU (40%), BoFU (20%) distribution
Schema mandatory: FAQPage + Article + HowTo = citation stack

Action Plan:

Week 1:

Content audit (mevcut content quality/length check)
Top 10 posts identify et (traffic/citation leaders)
Funnel gap analysis (ToFU/MoFU/BoFU balance)

Week 2:

FAQ schema implement et (top 5 posts)
Article schema add et (all blog posts)
Internal linking optimize et

Week 3:

İlk long-form guide write et (2500+ words)
Case study create et (if have data)
Refresh calendar setup et

Week 4:

Top 10 posts refresh başlat (2-3 gün cycle)
Competitor content analysis
Citation tracking (baseline measurement)

Month 2+:

4-6 new GEO-optimized posts/month
Weekly refresh routine (top 10)
Monthly performance review

Sonraki adım: FAQ schema implement edin, long-form content oluşturmaya başlayın, refresh calendar kurun.

İlgili Yazılar:

Schema Markup Implementation: FAQ, Article, HowTo Guide
Citation Tracking: Content Performance Measurement
Content Refresh Automation: Tools & Workflows

GEO İçerik Stratejisi: AI Platformları İçin Hangi Content Formatları Çalışıyor? (2025 Complete Guide)

GEO İçerik Stratejisi: AI İçin Content Nasıl Oluşturulur?

Content Format Hierarchy: AI Preference Ranking

1. Long-Form Comprehensive Guides (2000-3000 words)

2. FAQ Pages (Schema-Enhanced)

3. How-To Guides (Step-by-Step)

4. Comparison Articles (X vs Y)

5. Data-Driven Research Reports

6. Case Studies (Real Results)

Content Depth: How Much is Enough?

Word Count Benchmarks

Depth Indicators

Freshness Strategy: Update Frequency

Platform-Specific Freshness Requirements

Content Refresh Tactics

Tactic 1: Rotating Sections

Tactic 2: Living Document Approach

Tactic 3: Data Point Refresh

Structured Data: Schema Optimization

Priority Schema Types (ROI Ranking)

FAQ Schema Best Practices

Article Schema Requirements

Funnel-Based Content Strategy

ToFU (Top of Funnel - Awareness)

MoFU (Middle of Funnel - Consideration)

MoFU (Middle of Funnel - Consideration)

BoFU (Bottom of Funnel - Decision)

Content Production Workflow

Week 1-2: Research & Planning

Week 3-4: Content Creation

Week 5+: Refresh & Optimize

Sık Sorulan Sorular (FAQ)

2000-3000 kelime yazmak sustainable değil. Daha kısa content çalışır mı?

Hangi content format en yüksek ROI?

Content refresh her 2-3 günde sustainable mi?

AI'lar duplicate content'i penalize ediyor mu?

Schema markup olmadan citation almak mümkün mü?

Evergreen vs trending content: Hangisi AI için daha iyi?

AI platformları arasında content format tercihleri nasıl farklılaşıyor?

Sonuç: Content = GEO Foundation

Temel Çıkarımlar:

Action Plan:

AI SEO Optimizer Ekibi

GEO İçerik Stratejisi: AI İçin Content Nasıl Oluşturulur?

Content Format Hierarchy: AI Preference Ranking

1. Long-Form Comprehensive Guides (2000-3000 words)

2. FAQ Pages (Schema-Enhanced)

3. How-To Guides (Step-by-Step)

4. Comparison Articles (X vs Y)

5. Data-Driven Research Reports

6. Case Studies (Real Results)

Content Depth: How Much is Enough?

Word Count Benchmarks

Depth Indicators

Freshness Strategy: Update Frequency

Platform-Specific Freshness Requirements

Content Refresh Tactics

Tactic 1: Rotating Sections

Tactic 2: Living Document Approach

Tactic 3: Data Point Refresh

Structured Data: Schema Optimization

Priority Schema Types (ROI Ranking)

FAQ Schema Best Practices

Article Schema Requirements

Funnel-Based Content Strategy

ToFU (Top of Funnel - Awareness)

MoFU (Middle of Funnel - Consideration)

MoFU (Middle of Funnel - Consideration)

BoFU (Bottom of Funnel - Decision)

Content Production Workflow

Week 1-2: Research & Planning

Week 3-4: Content Creation

Week 5+: Refresh & Optimize

Sık Sorulan Sorular (FAQ)

2000-3000 kelime yazmak sustainable değil. Daha kısa content çalışır mı?

Hangi content format en yüksek ROI?

Content refresh her 2-3 günde sustainable mi?

AI'lar duplicate content'i penalize ediyor mu?

Schema markup olmadan citation almak mümkün mü?

Evergreen vs trending content: Hangisi AI için daha iyi?