What gets cited on social channels when UK drivers ask AI which car to buy. Brandlight traced 2,708 social citations across 2,232 URLs in 7,334 AI answers to 2,190 unbranded UK buyer questions, then enriched every URL with its views, likes, age and format.
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If you only read one page of this report, read this one. Every number below is unpacked in the sections that follow.
YouTube, then Reddit, then Facebook. Together they take 95.0% of every social citation. But step back first: social is only 4.8% of all 56,411 citations in these answers. In the UK, AI answers car questions mostly from motoring editorial, and uses social as a supporting voice.
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Where every social citation lands when an AI engine answers a UK car-buying question. Total: 2,708 social citations across 2,232 distinct URLs.
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Share of social citations, UK study against the EU Automotive study (May 2026). The two studies used different engine sets and time windows, so read this as directional. The clearest difference: Facebook carries twice the share in the UK.
"Social is 4.8% of UK car citations, and YouTube is 56.5% of that. A UK social strategy for AI is first a YouTube strategy, then a Reddit one."
Mostly one. Google AI Overview produces 73% of every social citation, and social is 21.9% of everything it cites. ChatGPT cites far more sources overall, but only 1.0% of them are social, and 84% of those are Reddit. Microsoft Copilot cited social media 13 times in 9,221 citations.
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Each bar is one engine's social citations. The length shows how much social each engine uses at all.
Social is 21.9% of its 9,011 citations. 60% of its social citations go to YouTube.
Social is 10.5% of its 3,627 citations. 75% of its social citations go to YouTube.
Social is 1.0% of its 34,552 citations. 84% of its social citations go to Reddit.
Social is 0.1% of its 9,221 citations. 100% of its social citations go to YouTube.
"Social optimisation in the UK is Google AI Overview optimisation. It produces 73% of social citations and 95% of every Facebook citation. For ChatGPT, social means Reddit and little else."
No. We tested every popularity signal we could measure across 1,183 YouTube videos, 569 Reddit posts and 230 Facebook posts. None of them meaningfully predicts how often AI cites a URL. The single most-cited YouTube video in the study, cited 16 times, has 2,230 views.
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How strongly each popularity metric tracks AI citation frequency. Zero means no relationship. The strongest signal we found, Reddit comment count, is still very weak.
"No popularity metric we measured predicts AI citation. The video AI cited most often has 2,230 views. Relevance to the buyer's exact question is what gets a piece cited."
Not very. The typical cited Reddit post has 4 upvotes. The typical cited Facebook post has 4 likes. Half the cited YouTube videos have fewer than 8,257 views. AI is reading the long tail most social teams are told to ignore.
"69% of the YouTube channels AI cites for UK cars have fewer than 100,000 subscribers. Specialist UK channels are cited alongside the big titles."
Long-form video on YouTube. Text discussion on Reddit. On Facebook, something new: 36% of citations go to Facebook Answers pages, auto-generated pages whose addresses read like buyer questions. Another 36% go to group discussions. Page posts and videos are the minority.
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Share of each platform's cited URLs by format. On Facebook and Instagram, a third of what AI cites is pages the platforms generate themselves.
More than half of cited YouTube links drop the viewer at a specific second. AI cites the segment that answers the question.
Share of Facebook citations. Facebook Answers pages are question-shaped pages the platform builds itself. No brand owns them.
The cited thread is a buyer asking other drivers for advice. The answers below it are what AI reads.
Based on 42 Instagram and 26 TikTok URLs. Descriptive only.
"34% of AI's Facebook and Instagram citations point to pages Meta generates itself, not to posts. On Meta's platforms, AI reads the platform's own answer layer."
Yes. 60% of Reddit citations come from UK-named communities, led by r/CarTalkUK with 38% on its own. On YouTube, the most-cited channel is a UK buying guide brand, followed by UK specialists. AI answers a UK question with UK conversations.
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Top 12 subreddits by citations. 116 different subreddits are cited in total.
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Top 10 channels by citations. 536 channels are cited in total, so no single channel dominates.
| Channel | Citations | Share of YouTube |
|---|---|---|
| What Car? | 79 | 5.2% |
| British Vehicles | 37 | 2.4% |
| Cars With JB | 28 | 1.8% |
| The EV Hub | 24 | 1.6% |
| Car Help Corner | 23 | 1.5% |
| AutoPedia | 23 | 1.5% |
| AlphaONEcars | 23 | 1.5% |
| CarLandTV | 23 | 1.5% |
| Capturing Cars | 22 | 1.4% |
| carwow | 22 | 1.4% |
"r/CarTalkUK alone supplies 38% of AI's Reddit citations for UK cars. A brand that is absent from that one community is absent from more than a third of AI's Reddit answer layer."
Both, depending on the platform. 56% of cited YouTube videos were uploaded in 2026, yet 39% are more than a year old. Reddit leans older: 47% of cited threads are over a year old and 30% are over two. A good thread keeps earning citations for years.
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Share of cited content in each age band, measured from the report date (October 13, 2026).
"30% of the Reddit threads AI cites for UK cars are more than two years old. On Reddit, a well-answered question is a long-term asset."
Premium and electric. Premium & luxury SUVs draw 54.8 social citations per 100 AI answers, more than twice the rate of city cars & superminis (24.2). The mix shifts too: Reddit leads in family hatchbacks (44% of social citations), and Facebook matters most in vans and pickups (27%).
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How much each category's AI answers lean on social sources, split by platform.
"The bigger the decision, the more AI reaches for social proof. Premium SUVs and electric cars draw more than twice the social citations per answer of city cars & superminis."
In a single week of UK answers, AI spreads its social citations thin. 85% of cited YouTube videos are cited exactly once, and the most-cited video appears 16 times. The top 10% of YouTube URLs capture 26% of YouTube citations. There is no small set of hero URLs to buy your way into. Breadth of relevant content wins.
"85% of the YouTube videos AI cites for UK cars are cited once. AI samples widely from relevant content rather than leaning on a few famous videos."
The whole study in five rows.
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One weekly UK snapshot, four AI engines, unbranded buyer questions only.
| Platform | Share of social | Cited URLs | Cited once | Popularity link | Typical age | Dominant format |
|---|---|---|---|---|---|---|
| YouTube | 56.5% | 1,184 | 84.9% | +0.075 | 34 wks | Long-form video (90%) |
| 24.4% | 569 | 88.9% | +0.081 | 44 wks | Text threads (100%) | |
| 14.1% | 362 | 95.0% | -0.018 | 47 wks | Answers pages + groups (72%) | |
| 1.8% | 42 | 90.5% | small sample | 14 wks | Reels (62%) | |
| TikTok | 1.3% | 26 | 80.8% | small sample | 51 wks | Native video (100%) |
Eight moves. Each one falls directly out of the data above.