AI doesn't cite websites. It cites pages.

Every brand working on AI visibility eventually asks a version of the same question: which sources do the models trust, and how do we become one of them? It's the right instinct, but it usually comes with the wrong unit of analysis. Brands think in platforms. They want to be "on Reddit" or "strong on YouTube" the way they once wanted to rank on Google.

Look at what actually gets cited, though, and the target moves. When ChatGPT, Perplexity or Gemini answers a question about a brand, it doesn't cite reddit.com. It cites one specific thread. It doesn't cite YouTube. It cites one specific video. The platform is where the citation lives, but the page is what earns it.

We pulled the citation data across the brands 3RD monitors, well over a hundred of them, spanning markets and industries, to see which sources AI models actually lean on when they talk about brands. The domain ranking is interesting. What each domain gets cited for is where it becomes useful.

Why Google isn't on the list

Before we get to the ranking, one thing needs explaining. In the raw data, the most-cited domain is google.com by a wide margin. We've taken it out, and it's worth saying why.

A google.com citation is almost always Google pointing at itself: a Search results page, a Maps listing, a Shopping or Flights surface. It's a routing layer, not a source. When an AI model cites Google, it isn't citing content anyone wrote about your brand. It's citing the machinery that points to that content. There's nothing there you can create, earn or improve, so keeping it in the ranking would only add noise.

Strip it out, and you're left with five sources you can genuinely act on.

The five most cited sources

These are the five most-cited domains across the brands we monitor at 3RD. Each one appears in citations for well over 100 different brands, so this isn't a quirk of one industry or one market:

Knowing the domains is the easy part. The useful part is what kind of page on each one AI actually pulls, and here a very clear pattern emerges.

What actually gets cited on each source

Two things matter for every source: the page type AI pulls, and, within that, the kind of content that leads. Both point the same way.

YouTube: the "best-of" and comparison video. Almost all YouTube citations are single video watch pages. Channels and playlists barely register. Among the videos whose titles reveal a format, ranking and comparison content is the single biggest theme by a wide margin, well ahead of how-to content and tutorials, further ahead of straight reviews, with unboxings and vlogs negligible. The recurring job is "which one is best?" or "X vs Y." If a creator in your category runs a "best X in 2026" format, that one video is worth more in AI answers than an entire branded channel.

Reddit: the regional and niche-product advice thread. Almost all Reddit citations are individual threads, not subreddits, and the most-cited ones cluster in two places: local communities (r/dkfinance, r/denmark, r/copenhagen, r/sweden) and product-advice communities (r/supplements, r/glasses, r/watches, r/buyitforlife, r/malefashionadvice). It's locals and enthusiasts recommending what to buy or use, not general chatter. For brands in smaller markets like Denmark, this is worth pausing on: a handful of threads in a national subreddit can carry disproportionate weight in how AI describes your category.

Trustpilot: a specific company's review page. The cited page is almost always an individual company's star-rating page, not a category listing. The most-cited examples in our data are overwhelmingly Danish: Viaplay, Saxo Bank, Danske Bank, Louis Nielsen, Silvan. When AI reaches for Trustpilot, it wants one thing: this company's score and what customers say. That page is effectively your public trust record, quoted back to anyone who asks.

Wikipedia: the company or entity article. Almost all citations are standard encyclopedic articles, and the most-cited are organisation reference pages, with the occasional topic explainer. This is the factual page about a specific company or industry: founding, ownership, products, controversies. It's the neutral backbone AI leans on when it needs to state facts rather than opinions.

TripAdvisor: the ranked destination list. Here the single page gives way to the shortlist. Among titled pages, ranked lists ("best hotels in X," "top things to do in Y") dominate individual reviews by roughly five to one. AI doesn't reconstruct a ranking from hundreds of hotel reviews. It lifts the pre-ranked shortlist wholesale.

The pattern across all five

Step back, and two things explain almost every citation in the dataset.

One: AI cites the page, not the platform. Everywhere except TripAdvisor, the cited unit is a single leaf: one video, one thread, one company review page, one article. Not the hub that contains it. Being "on YouTube" or "on Trustpilot" earns you nothing by itself; a single strong page does. TripAdvisor is the exception that proves the rule: when a source has already ranked the options into a clean shortlist, AI takes the shortcut and lifts the list instead of assembling its own.

Two: it wants comparison, recommendation and authority. Never promotion. Look at what those pages actually are, and they do one of two jobs:

• Comparison and recommendation: "best-of" and "X vs Y" videos, buy-advice threads, ranked destination lists. Content that helps someone choose.

• Entity-level authority: a company's Trustpilot page, its Wikipedia article. The definitive, neutral page about you.

What's almost entirely absent is pure promotional or general content. AI doesn't cite your marketing. It cites the pages that compare you, and the pages that verify you.

What this means for your brand

If your plan for showing up in AI answers is "have a website and post more," you're aiming at the hub while AI cites leaves, and at marketing while AI cites comparisons. The work is more specific than that:

Earn comparison and recommendation content. Get into the "best-of" and "X vs Y" videos, the buy-advice threads, and the ranked shortlists in your category. This is the single biggest source of citations, and by its nature you can't publish it yourself. You earn it: through creator relationships, community presence, and being a product people actually recommend to each other.

Own your entity pages. Your Trustpilot page and your Wikipedia article are the authority layer AI treats as neutral truth. Keep the Trustpilot page fed with real, recent reviews, because a stale or thin review page is a stale answer about your brand. Make sure the Wikipedia article exists, is accurate and is well-sourced. For many companies, these two pages shape more AI answers than their entire website.

Win at the leaf level. Individual pages are the unit AI cites, so compete page by page: one strong video, one well-answered thread, one healthy review page. "Presence" on a platform is not a strategy. A specific citable page is.

Stop expecting your marketing to get cited. Promotional and general content barely surfaces in citations. That doesn't make it worthless, but it does mean it's doing a different job. Redirect the AI-visibility effort toward the comparison and authority layers above, and measure whether it's working.

The brands AI recommends aren't the ones with the biggest sites. They're the ones that show up in the comparisons, and own the pages that verify them.

How we measured this

Citations are counted across the brands 3RD monitors. The page-type breakdowns span full citation history across all sub-paths, so they're best read as proportions and direction rather than exact totals. The data reflects our tracked brands, prompts and markets, not a census of the entire web, which is also why local sources like Trustpilot's Danish pages feature so prominently.