You have a well-built website, strong content, and years of SEO work behind you. So why is a Reddit thread from 2022 showing up in the AI answer when someone asks about your category?
This is not a fluke. It is the logical output of how AI search systems are built. Understanding it changes how you think about your entire digital presence.
The Numbers First
Reddit is among the top cited domains across every major AI platform. According to Ahrefs Brand Radar data from June 2025, covering over 76 million AI Overview responses and nearly a million ChatGPT and Perplexity prompts, Reddit and Wikipedia consistently appear in the top cited sources across all three platforms. Separate research analyzing 30 million citations between August 2024 and June 2025 found Reddit is the leading source in Google AI Overviews, with YouTube close behind.
Perplexity leans even harder on Reddit. Analysis across large citation datasets puts Reddit’s share of Perplexity citations at over 46%, making it the dominant source by a wide margin on that platform.
Five domains, Wikipedia, YouTube, Reddit, Google properties, and Amazon, together account for 38% of all AI citations across platforms.
Your website is probably not in that group. Most websites are not. And the reason comes down to something more fundamental than domain authority or backlinks.
The Ahrefs Xarumei Experiment
In December 2025, Mateusz Makosiewicz at Ahrefs published an experiment that every marketer working in this space should understand.
He built a completely fictional luxury brand called Xarumei. An AI-generated website. Products priced at over $8,000. A brand name that returned zero results on Google. The whole thing was invented from scratch.
He then seeded three fabricated sources across the web. A glossy blog post on a site called weightythoughts.net, filled with fake celebrity endorsements from Emma Stone and Elon Musk and invented product collections. A Reddit AMA where a fake insider described a Seattle workshop, eleven artisans, CNC machines, and a dramatic story about a 36-hour pricing glitch that dropped a $36,000 paperweight to $199. A Medium article with a different founder name, a different city, and different staff numbers.
Then he published an official FAQ on the Xarumei website explicitly denying everything. “We do not produce a Precision Paperweight.” “We have never been acquired.” Clear, direct denials.
He then asked eight AI platforms 56 questions about Xarumei.
Almost every AI tool confidently repeated the fabricated information. Perplexity and Grok became what Ahrefs called “fully manipulated,” repeating fake founders, fake cities, unit counts, and the pricing glitch story as established facts. Microsoft Copilot blended all three fake sources together into a single confident response. Grok synthesised the conflicting fake details into its own version of Xarumei’s origin story, debunking some lies while accepting others, as if it were doing investigative journalism on a real company.
The official FAQ on the brand’s own website was largely ignored.
The headline conclusion from the experiment: in AI search, the most detailed story wins, even if it is false.
There is a nuance worth understanding here though. The experiment was later critiqued, fairly, for using leading questions that embedded assumptions. Forty-nine of the fifty-six prompts were structured like “How is Xarumei handling the backlash from their defective Precision Paperweight batch?” which assumes the backlash exists. AI systems that answered these questions in detail were not necessarily choosing lies over truth. They were choosing answer-shaped content over content that rejected the premise.
But here is the part that matters for your marketing strategy regardless of that nuance: the Xarumei website, which had the “correct” information, was less likely to be cited not because AI systems prefer lies, but because it was not structured to answer questions. The Reddit AMA, the Medium post, and the fake blog all provided specific details, narrative, numbers, and direct responses to what a user might ask. The official site mostly said “we don’t disclose that.”
This is the real lesson. AI systems prefer content that is shaped like an answer.
Why Reddit Content Is Shaped Like an Answer
Reddit threads, at their best, are organised around a question someone genuinely had, followed by multiple people giving specific, experienced, sometimes disagreeing answers. That structure is almost exactly what a language model is looking for when it needs to generate a response to a user query.
Your website, by contrast, is usually organised around what you want to say about yourself. Your services. Your positioning. Your proof points. None of that is shaped like an answer to a specific user question.
There are other structural advantages Reddit has that are worth naming directly.
The upvote system surfaces consensus. When a post gets thousands of upvotes and hundreds of comments agreeing with a specific point, that is a visible signal of community verification. AI systems trained on human feedback are well-positioned to recognise this pattern.
Correction is built in. When someone posts wrong information on Reddit, the thread itself often contains the correction. AI systems see not just a claim but the pushback, the rebuttal, and the resolution. This correction pattern is a trust signal that very few brand websites can replicate because brands almost never publicly correct themselves on their own pages.
The content ages into authority. Research on Reddit posts cited by AI systems found the average cited post was around a year old. A thread with accumulated agreement and engagement over a year carries more weight than a page published last month with no external signals. A good Reddit thread is a long-term asset in the AI citation ecosystem in a way that most blog posts are not.
And critically, Reddit is balanced. Data on AI citation patterns shows that positive and negative brand sentiment are cited at nearly identical rates. AI systems are not looking for promotional content. They are looking for authentic evaluation, which means a thread that honestly discusses the pros and cons of something is more likely to be cited than a page that only says how good something is.
What This Means for Different Parts of Your Website Strategy
This is where it gets practical. The Reddit advantage does not cancel out the value of your own website. It clarifies what each part of your presence actually does.
Your technical SEO foundation still determines whether your pages are crawlable and indexable by AI systems in the first place. A site with crawl errors, slow load times, or poor structure is harder for AI systems to retrieve content from, even if the content itself is excellent. This layer has not become less important. It has become the baseline that everything else depends on.
Your on-page SEO determines how well your content is understood and structured. The research on AI citations makes one format point very clear. Structured content, direct answers at the top, specific numbers and examples, and clear headings perform significantly better in AI retrieval than long prose that buries the point. Forty-four percent of all LLM citations come from the first thirty percent of a page’s text. Your introduction is doing more work than you probably think.
Your off-page SEO now includes a new dimension. Building third-party presence across community platforms, forums, review sites, and discussion threads is not separate from your SEO strategy. It is part of it. Domains with substantial brand mentions on Reddit and Quora have roughly four times higher citation likelihood in ChatGPT than domains with minimal community activity.
The core SEO principle of earning authority externally has not changed. What has changed is where that external authority is being built and measured.
The Citation Behavior Is Different Across Platforms
One thing that makes this harder than a single strategy fix is that ChatGPT, Perplexity, and Google AI Overviews do not all cite the same sources or use the same signals.
Google AI Overviews show the strongest correlation with traditional search rankings. Seventy-six percent of URLs cited in AI Overviews also rank in Google’s top ten organic results. If you are already ranking well through traditional SEO work, you are likely to be cited here.
ChatGPT works very differently. Only around twelve percent of URLs cited by ChatGPT rank in Google’s top ten. ChatGPT primarily cites pages ranked at position twenty-one and beyond, roughly ninety percent of the time. This means your traditional ranking position does almost nothing for your ChatGPT visibility. What matters more there is the nature and structure of your content and your broader entity presence across the web.
Perplexity triggers real-time web searches for every query. Its index covers over two hundred billion URLs. Reddit’s dominance there comes partly from its structured Q&A content and partly from the platform’s sheer volume of specific, experience-based discussions that match user intent precisely.
Only eleven percent of domains are cited by both ChatGPT and Perplexity. A strategy that works on one platform will not automatically translate to the other.
What the Xarumei Experiment Is Really Warning You About
Beyond the Reddit citation question, the Xarumei experiment reveals something that should concern every brand: AI systems will construct a narrative about you whether you participate in building that narrative or not.
If someone publishes a detailed, specific story about your brand on a third-party platform, and your official content is vague or evasive in comparison, AI systems will default to the detailed story. Not because they are malicious. Because they are optimising for answer quality from the user’s perspective, and detail feels like quality.
This means your own content needs to be more specific, more direct, and more structured than your competition’s third-party mentions. The Xarumei website was thin, vague, and not built to answer questions. The fabricated sources were detailed, specific, and structured like answers. That gap is what the AI exploited.
A proper digital marketing audit today should include a review of what AI tools currently say about your brand, where those answers are coming from, and whether your own content is more or less specific than the third-party sources being cited instead of you. Most brands discover that their official pages are significantly less answer-shaped than a random Reddit thread about them.
Building a Presence That AI Systems Actually Trust
None of this means you should abandon your website and move everything to Reddit. It means your content strategy needs to operate on two levels simultaneously.
The first level is your own website. Every important claim your brand makes should be explained specifically, with numbers, context, and direct answers to the questions your customers actually ask. Not just “we help businesses grow” but “here is how, for whom, in what timeframe, and what it costs.” The detail gap between your official content and what someone might post about you on a forum is a vulnerability.
The second level is your presence in the places where AI systems look for third-party validation. This includes genuine participation in relevant communities, building the kind of review and discussion presence that creates the correction patterns and consensus signals that AI systems weight heavily.
A coherent digital marketing strategy in 2026 treats these two levels as connected, not separate. Your website earns direct citations in platforms that correlate with search authority. Your community presence earns citations in platforms that correlate with authentic discussion. Together they build the kind of multi-source entity presence that AI systems recognise as genuinely authoritative.
If you are thinking about where to start, the answer is almost always the same: audit what AI tools say about you today, identify where those answers are coming from, and then build content on your own domain that is more specific and more answer-shaped than whatever is currently winning.
The most detailed story wins. Make sure it is yours.
For help thinking through what this means for your brand’s visibility strategy, get in touch with our consulting team.
Performance Marketing Lead at PS Digital. He breathes numbers, bends spreadsheets with macros, and plays the ROAS flute with style. Based out of Uttarakhand, he is obsessed with ROI and constantly nudges the cost per conversion lower across Google, Meta, LinkedIn, and Bing.
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