
Analysis of 118K+ answers reveals dramatic differences in AI citation behavior: Perplexity averages 21.87 citations per question while ChatGPT uses 7.92, and OpenAI is the only model citing Wikipedia significantly at 4.8%.
The biggest mistake in GEO: treating all AI providers the same. We analyzed 118,101 AI-generated answers with 669,065 citations across 8 major providers during Q3 2025. The data reveals dramatic differences in how each platform selects, cites, and positions sources.
Our findings align with showing platform-specific optimization is essential, and confirming Wikipedia dominates ChatGPT citations. This report quantifies exactly how different these providers are, and what that means for your GEO strategy.
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Here's how much each provider relies on external sources:
Provider | Cit/Question | Unique Sources | Diversity | Avg Position |
Perplexity | 21.87 | 37,399 | 79.8 | 5.66 |
Google AI Overview | 17.93 | 25,785 | 89.4 | 10.08 |
The spread is massive: Perplexity cites 2.76x more sources per question than ChatGPT (21.87 vs 7.92).
What this means: A brand that appears in 10% of Perplexity responses might appear in only 3.6% of ChatGPT responses - not because their content is worse, but because the platforms have fundamentally different citation strategies.
Citations per question: How many sources the AI model references per answer. Higher numbers indicate the model relies more heavily on external sources.
Unique sources: Total distinct domains cited during the quarter. Indicates breadth of source discovery.
Diversity score: Shannon entropy normalized to 0-100. Higher scores mean citations are distributed across many sources rather than concentrated on a few.
Average position: Mean placement of citations in responses. Lower numbers (early positioning) typically correlate with higher authority.
Here's where conventional GEO wisdom breaks down completely.
Wikipedia citation rates by provider:
Provider | Wikipedia Citations | Wikipedia Share | Other Sources |
OpenAI (ChatGPT) | 9,208 | 4.8% | 95.2% |
Microsoft Copilot | 0 | 0% | 100% |
Google AI Overview | 0 |
ChatGPT is 4.8% dependent on Wikipedia. Every other major provider: effectively 0%.
Why this is critical: The standard GEO advice - "get a Wikipedia page for AI visibility" - only works for one platform. If your target audience uses Perplexity, Gemini, or Google AI, Wikipedia presence provides minimal direct benefit.
OpenAI's top cited sources:
Everyone else's top cited sources:
The pattern: OpenAI uses Wikipedia as a knowledge foundation, then cites specialized sources. Other providers skip the encyclopedia layer entirely and go straight to specialized content.
Strategic implication: If you're optimizing for ChatGPT specifically, Wikipedia presence is valuable. For multi-provider GEO, specialized vertical content is non-negotiable.
See your mentions across ChatGPT, Claude and Perplexity in real time, the moment buyers ask.
Profile:
Total citations: 276,139 across 12,623 questions
Unique sources: 37,399 domains
Diversity score: 79.8 (diverse, but less than Google)
Average position: 5.66 (mid-response)
Top sources: Specialized legal platforms, government portals
What Perplexity prioritizes:
Specialized business and legal content
French-language vertical-specific sites
Practical, actionable information
Recent, updated content
Why Perplexity cites so much: The platform's value proposition is comprehensive research. More citations = more thorough answers = differentiation from ChatGPT's concise responses.
Optimization strategy for Perplexity:
Success pattern: Leading legal platforms dominate Perplexity citations in the French legal vertical with comprehensive guides covering every aspect of business law formation, contracts, and compliance.
Profile:
Total citations: 190,894 across 24,099 questions
Unique sources: 42,592 domains (highest breadth)
Diversity score: 83.4
Average position: 2.82 (very early)
Top sources: Wikipedia, Google.com, Le Monde
What ChatGPT prioritizes:
Encyclopedic sources (Wikipedia: 4.8%)
Mainstream authoritative sites
News outlets with editorial standards
.edu domains
Why ChatGPT cites less: The model is trained to provide concise answers drawing primarily from training data, using citations mainly for verification and recent information.
Optimization strategy for ChatGPT:
Success pattern: Brands with well-maintained Wikipedia pages + mainstream press coverage get cited significantly more in ChatGPT than in other providers.
Profile:
Total citations: 79,565 across 4,439 questions
Unique sources: 25,785 domains
Diversity score: 89.4 (highest)
Average position: 10.08 (latest)
Top sources: Google.com, YouTube, LinkedIn
What Google AI Overview prioritizes:
Google properties (own platforms)
Video content (YouTube)
Social platforms (LinkedIn)
Diverse, multi-perspective sources
Why diversity is so high: Google AI Overview appears designed to show multiple perspectives, resulting in highly distributed citations rather than relying on a few authoritative sources.
Optimization strategy for Google AI Overview:
Success pattern: Brands with strong YouTube presence + Google Business Profile + Maps reviews get cited more frequently in Google AI Overview.
Profile:
Total citations: 122,251 across 7,145 questions
Unique sources: 20,549 domains
Diversity score: 77.0
Average position: 4.67 (early)
Top sources: French business blogs, specialized legal platforms
What Gemini prioritizes:
Regional, French-language content
Business and entrepreneurship resources
Local service providers
Practical implementation guides
Why Gemini favors regional content: Unlike other providers, Gemini shows clear preference for local-language, region-specific authorities over global English content.
Optimization strategy for Gemini:
Success pattern: French business blogs and legal service providers dominate Gemini citations despite having minimal global brand recognition.
Profile:
Total citations: 148 across 60 questions
Unique sources: 111 domains
Diversity score: 97.0 (highest possible)
Average position: 1.90 (earliest)
Top sources: PCMag, Forbes, Rolling Stone
What Microsoft Copilot prioritizes:
Tech and business news outlets
Editorial content with analysis
Established media brands
Professional journalism
Why so few citations: Copilot integrates tightly with Microsoft 365 and appears to prioritize synthesized answers over extensive citation.
Optimization strategy for Microsoft Copilot:
Success pattern: Brands with coverage in Forbes, PCMag, TechCrunch get disproportionate citations despite Copilot's limited citation volume.
See your mentions across ChatGPT, Claude and Perplexity in real time, the moment buyers ask.
Priority tactics:
Lower priority:
5. Niche vertical content (ChatGPT prefers mainstream)
6. Regional/local optimization (English/global focus)
7. High citation volume tactics (only 7.92 avg)
Measurement: Track citation position (aim for 1-3) more than citation volume.
Priority tactics:
Lower priority:
5. Wikipedia (0% share)
6. Mainstream press (not in top sources)
7. Early positioning obsession (mid-response is normal)
Measurement: Track citation volume (aim for multiple citations per response).
Priority tactics:
Lower priority:
5. Dominant citation share (diversity = multiple sources cited)
6. Early positioning (late citations normal)
7. Non-Google platforms
Measurement: Track citation frequency across Google ecosystem.
Priority tactics:
Lower priority:
5. English-only content
6. Global positioning
7. Wikipedia (0% share)
Measurement: Track regional citation share vs. global competitors.
Most brands need visibility across multiple providers. Here's what works everywhere:
Universal tactics:
Provider-specific additions:
ChatGPT: Add Wikipedia
Perplexity: Add depth (3,000+ words)
Google AI Overview: Add YouTube
Gemini: Add localization
Microsoft Copilot: Add press coverage
The wrong approach: Optimizing exclusively for one provider. Even if 70% of your audience uses ChatGPT, ignoring the 30% on Perplexity means missing significant opportunity.
The data is unambiguous:
Wikipedia strategy works for ChatGPT only (4.8% vs 0% elsewhere)
Citation volume strategies work for Perplexity (21.87 cit/question) but not Copilot (2.47)
YouTube optimization matters for Google but not ChatGPT
Regional content wins on Gemini but underperforms on ChatGPT
The mistake most brands make: Following generic "GEO best practices" that assume all AI providers behave identically.
The winning approach: Platform-specific optimization based on where your audience actually uses AI, measured with provider-specific metrics. If you're not tracking performance by provider, you're flying blind.
This is part of our Q3 2025 research series on AI citation behavior.
Overview Studies:
184K Queries Analysis - Comprehensive LLM ranking factors study
Query Fan-Out Study - Provider-specific search behavior patterns
Deep Dive Reports:
#1: Source Analysis - 97.5% citations from specialized sites
✅ #2: Provider Comparison (this report)
#3: Wikipedia & Reddit Effect - Platform presence impact
#4: Source Types Impact - Authority hierarchy
#5: Content Freshness - Dynamic citation landscape
#6: Sentiment Analysis - How AI judges sources
Want provider-specific tracking? Qwairy monitors your brand across all major AI providers with platform-specific metrics and insights.
External validation: Our findings are corroborated by multiple 2025 industry studies:
Princeton GEO Research: Platform-specific optimization strategies differ significantly
Visual Capitalist Market Report: ChatGPT dominates with 59.5-82.7% market share
DemandSage AI Statistics: ChatGPT has 800M weekly active users
StatCounter AI Market Share: Real-time platform usage data
Research powered by Qwairy - Track your brand's performance across ChatGPT, Perplexity, Gemini, and 7 other AI platforms.
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Gemini | 17.11 | 20,549 | 77.0 | 4.67 |
ChatGPT (OpenAI) | 7.92 | 42,592 | 83.4 | 2.82 |
Microsoft Copilot | 2.47 | 111 | 97.0 | 1.90 |
100% |
Google AI Mode | 0 | 0% | 100% |
Perplexity | 0 | 0% | 100% |
Gemini | 0 | 0% | 100% |
Anthropic | 0 | 0% | 100% |
xAI | 0 | 0% | 100% |