Research Report · February 2026

AI Citation Source Analysis

Understanding how ChatGPT, Gemini, and Perplexity choose what to cite — and what it means for your content strategy.

25,540
URLs analyzed
3
AI platforms tracked
60
Days of data
90%+
Citations from blogs & pages
Research by SEMAI · semai.ai

Executive Summary

One strategy can't win across all three platforms

This report analyzes 25,540 URLs cited by ChatGPT, Google Gemini, and Perplexity AI over a 60-day period. The core finding: each AI platform has fundamentally different citation behavior — requiring platform-specific content strategies.

Blogs & pages dominate everywhere

88–91% of all citations across all three platforms come from just two content types: blog/articles and webpages. Everything else is noise by comparison.

ChatGPT cites LinkedIn & Wikipedia

ChatGPT is the only platform meaningfully citing LinkedIn posts (1.1%) and Wikipedia (2.0%). Neither appear significantly on Gemini or Perplexity.

Perplexity is the BOFU platform

Perplexity actively cites comparison pages and solution-specific pages at scale — uniquely important for buyers close to a purchase decision.

ChatGPT favors research 6× more

ChatGPT cites academic and research-backed content at 2.2% — more than six times higher than Gemini or Perplexity. Data-backed publishing is a direct lever.

Gemini avoids community sources

Gemini rarely cites Reddit (0.4%) or Wikipedia (0.1%). Its citation model strongly prioritizes authoritative, structured content from established domains.

One-size-fits-all is dead

A single content strategy cannot achieve visibility across all three platforms. Brands optimizing for one may be structurally invisible on others.


Data Overview

Platform breakdown by volume

ChatGPT accounts for 64% of all analyzed citations — making it the dominant AI search surface by volume, while Gemini and Perplexity serve distinct audiences.

Platform URLs Analyzed % of Total Top Citation Type Top %
Gemini 3,847 15.1% Blog / Article 52.8%
Perplexity 5,318 20.8% Blog / Article 54.8%
ChatGPT 16,375 64.1% Webpage 47.0%
Total 25,540 100% Blog / Article 46.9%

Platform-by-Platform Analysis

Each AI platform cites differently

Understanding the citation model of each platform is the foundation of any AI visibility strategy.

🔷

Gemini

Authority-First, Community-Last

Gemini shows the strongest preference for brand-owned content. It rarely cites Reddit (0.4%), Wikipedia (0.1%), or community forums. Its citation model prioritizes authoritative, structured content from established domains.

Primary Lever Publish long-form blog content (1500+ words) on your own domain. Domain authority is the gating factor.
🟡

Perplexity

Most BOFU-Friendly Platform

Perplexity is the only platform meaningfully citing comparison pages (0.4%) and solution-specific pages (1.5%). It also has the highest documentation citation rate (1.7%) — making it critical for bottom-of-funnel strategy.

Primary Lever Invest in [Product A] vs [Product B] comparison pages and solution-specific landing pages to appear when buyers are close to a decision.
🔵

ChatGPT

Broadest Citation Footprint

ChatGPT has the most diverse citation behavior — the only LLM meaningfully citing LinkedIn content (1.1%) and Wikipedia (2.0%). It also cites academic and research sources at 2.2%, far higher than Gemini or Perplexity.

Primary Lever Thought leadership on LinkedIn and data-backed content citing original studies are direct citation levers for ChatGPT visibility.

"The data makes it clear: you cannot optimize for AI search the way you optimized for Google. Every platform has a different citation model. Brands that treat AI visibility as a single channel are structurally invisible to a significant portion of their buyers."

— Raghu, CEO & Co-Founder, SEMAI

Citation Distribution

What each platform actually cites

Visual breakdown of citation source types across all three platforms, based on 25,540 analyzed URLs.

Gemini

Blog / Article
52.8%
Webpage
38.0%
Blog Platform
3.7%
Video (YouTube)
1.0%
Solution/Page
0.9%
Documentation
0.9%

Perplexity

Blog / Article
54.8%
Webpage
39.0%
Documentation
1.7%
Solution/Page
1.5%
Video (YouTube)
0.8%

ChatGPT

Webpage
47.0%
Blog / Article
41.3%
Research/Academic
2.2%
Wikipedia
2.0%
Documentation
1.4%
LinkedIn
1.1%

Strategic Recommendations

What to do — and what to stop doing

Platform-specific content levers based on observed citation behavior across 25,540 URLs.

Platform Primary Lever Do This Avoid This
Gemini Long-form blogs (1500+ words) Brand-owned editorial content Reddit / community sourcing
Perplexity Comparison pages (X vs Y) BOFU solution & comparison pages Skip BOFU content entirely
ChatGPT LinkedIn + data-backed blogs Thought leadership with cited data Ignore Wikipedia accuracy
All Three Consistent blog publishing Platform-specific content strategy One-size-fits-all approach

Conclusion

The data is clear

Each AI platform cites fundamentally different content types. A single content strategy cannot achieve visibility across ChatGPT, Gemini, and Perplexity.

Brands that win in AI-driven search will be those who understand which content, for which platform, at which stage of the buyer journey.

While over 63% of B2B research now begins on AI platforms, most marketing teams continue to optimize primarily for Google rankings. SEMAI's platform is designed to close this gap — tracking brand visibility across ChatGPT, Perplexity, Gemini, and Claude with LLM search volume data, Weak/Average/Strong cluster classification, and AI-generated content calendars.


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