AIIndustry

Peec AI's 30-Million-Citation Study: Reddit, YouTube, and LinkedIn Are What AI Actually Trusts

Richard Lee

Richard Lee

April 19, 2026 · 5 min read

Peec AI published at the end of March an analysis of which voices AI platforms actually cite. The study measured 30 million direct citations across five AI search surfaces (ChatGPT, Google AI Mode, Gemini, Perplexity, AI Overviews) and ranked the domains credited most often in real user queries. The top ten: Reddit, YouTube, LinkedIn, Wikipedia, Forbes, G2, Yelp, Facebook, Medium, Techradar.

Reddit sits at or near the top of every platform Peec tested. The more interesting finding is not the overall ranking. It is that each AI platform has a meaningfully different top five. ChatGPT favors Wikipedia first, Reddit second, then Forbes, Techradar, LinkedIn. Gemini leads with Reddit, YouTube, Wikipedia, Medium, PCMag/Forbes. Google's AI Mode and AI Overviews lean heavily on Facebook and Yelp, which neither ChatGPT nor Perplexity surface much. Perplexity shows Reddit, YouTube, LinkedIn, Wikipedia, G2.

For consumer platforms, the question stops being "how do I rank on Google?" It becomes "which voices does the AI model I care about actually trust?"

What Peec AI measured

Peec AI analyzed 30 million sources directly cited by LLMs: not training data, not referenced-but-uncited material, but the URLs that actually shaped AI answers on the page. The five surfaces measured are the major US-facing AI search platforms: ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews. The method counted direct citations appearing in AI-generated responses and attributed them by domain. The study, "Top domains cited by AI search" by Tomek Rudzki, was published March 31, 2026. Peec AI is an AI search analytics tool; the full top-10 list and platform-by-platform breakdown appears in the public report.

The top ten, and why the order matters

| Rank | Domain | Why it gets cited | |---|---|---| | 1 | Reddit | Authentic user discussion, community validation | | 2 | YouTube | Video transcripts and descriptions | | 3 | LinkedIn | Professional identity layer for B2B queries | | 4 | Wikipedia | Both training data and live retrieval | | 5 | Forbes | Editorial authority | | 6 | G2 | Software reviews | | 7 | Yelp | Local business reviews | | 8 | Facebook | Public group and profile posts | | 9 | Medium | Long-form publishing | | 10 | Techradar | Tech product editorial |

Four of the top ten are community or user-generated platforms (Reddit, YouTube, LinkedIn, Facebook). Two are reference platforms (Wikipedia, Medium). Two are review platforms (G2, Yelp). Only two are traditional editorial publishers (Forbes, Techradar). The distribution tells you how AI weighs trust. When a model needs confidence, it reaches for places where many humans have already agreed or disagreed in public. AI is not citing the best-written pages in the SEO sense. It is citing aggregated human signal — many voices combined in one identifiable place.

The platform-by-platform variation is the actual story

Per the Peec AI March 31, 2026 report:

  • ChatGPT top 5: Wikipedia, Reddit, Forbes, Techradar, LinkedIn
  • Gemini top 5: Reddit, YouTube, Wikipedia, Medium, PCMag/Forbes
  • Perplexity top 5: Reddit, YouTube, LinkedIn, Wikipedia, G2
  • Google AI Mode top 5: YouTube, Reddit, Facebook, LinkedIn, Yelp
  • AI Overviews top 5: YouTube, Reddit, Facebook, LinkedIn, Medium

Reddit and YouTube are the only two sources that appear in every platform's top five. They are the universal AI trust signals. ChatGPT is the outlier: the most editorial-leaning (Wikipedia, Forbes, Techradar) and the least social (no Facebook, no Yelp). Google's own AI surfaces lean hard on Facebook and Yelp, likely because Google already indexes and weights those assets elsewhere. Perplexity is the most B2B-oriented; G2 sits in its top five and in no one else's. The practical implication: a brand aiming for ChatGPT visibility needs a different surface presence than a brand aiming for Google AI Mode visibility. Cross-platform visibility requires breadth, not depth in one place.

What this tells consumer platforms

Traditional SEO optimized the single website — one page, one keyword set, one backlink profile. AI citation optimization requires presence across the community layer, the video layer, the professional identity layer, the reference layer, and the editorial layer simultaneously. The 45% overlap gap between Google local winners and AI local recommendations we covered yesterday from the SOCi 2026 Local Visibility Index has the same root cause: AI trusts different signals than Google's PageRank. For Mubboo and similar editorial platforms, the question is not how to replace Reddit or YouTube. It is how to become the layer AI reaches for when a query needs synthesized editorial judgment, not aggregated community chatter. That layer exists, but it is thin.

Mubboo's take

Reading the Peec data honestly: AI is not citing independent editorial sites very often. It is citing aggregators of human voice. Reddit for community, YouTube for creators, LinkedIn for professional identity, Wikipedia for synthesis, review sites for domain-specific judgment. For an editorial platform, this is not a reason to quit. It is a reason to be clearer about what we are. We are not trying to be a louder Reddit. We are building a layer AI can cite when a query needs evaluated, opinionated, country-specific recommendations no single thread can produce. That layer is small today. Forbes and Techradar are in the top ten; most independent editorial sites are nowhere. Our coverage at mubboo.com/shopping is built for that gap. We think it is an opportunity, not a verdict.

The old playbook taught us to chase Google's algorithm. The new reality is that five different AI models use five different top-five citation lists, and only Reddit and YouTube appear in all of them. For platforms building for AI visibility, that is either intimidating or clarifying. We find it clarifying. It tells us what to build, and just as importantly, what not to bother building.

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Richard Lee

Richard Lee

Founder

Richard is the founder of Mubboo, building an AI-powered platform that helps everyday consumers navigate shopping, travel, finance, and local life across multiple countries.

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