Why the same social citation reads as the crowd on one engine and a credible authority on the other, and what that means for AEO strategy

Marketers have known for a while that AI search leans on social platforms. Reddit and LinkedIn in particular show up again and again in AI-generated answers. That much is not news. The useful question is not whether these channels get cited. It is where they get cited, what they get cited for, and which sources they get cited alongside. Those answers turn out to be very different depending on the engine.

We used BrightEdge AI Hyper Cube to pull the full universe of prompts where Reddit and LinkedIn earn citations on Google AI Overviews and ChatGPT, then classified each prompt by topic, query intent, functional job, and the other sources cited alongside the social channel. The pattern is clear: ChatGPT and Google AI Overviews do not use these two channels the same way. One engine treats a Reddit citation as the voice of the crowd. The other treats it as a credible reference, sitting it beside the most authoritative publishers on the web.

This is the kind of nuance an engine-agnostic view of AI search will miss. Earlier research in this series showed that AI engines assign functional roles to the biggest sites on the internet, citing Reddit less as a forum and more as a consumer-opinion and product-research layer. This installment goes one level deeper, into exactly how two engines diverge in the way they deploy the two social channels marketers ask about most.

What We Analyzed

We analyzed the prompt and citation universe for Reddit and LinkedIn across Google AI Overviews and ChatGPT, spanning both consumer and professional topics. Every prompt was classified four ways: by topical cluster, by query intent, by functional job-to-be-done (the kind of question being asked), and by co-citation neighborhood (the other brands and sources cited in the same answer). The goal was to understand not just that these channels get cited, but the specific conditions under which each engine reaches for them.

Data Collected

Key Finding

The same social channel plays a different role on each engine. On Google AI Overviews, Reddit is cited as part of a social pack: YouTube appears alongside it in roughly 36% of citations, with Facebook, TikTok, and Instagram close behind, while editorial authorities appear next to it only about 6% of the time. On ChatGPT, the pattern nearly inverts. Reddit is cited beside Healthline, Mayo Clinic, Cleveland Clinic, and Encyclopedia Britannica, with authoritative publishers flanking it about 36% of the time and other social barely registering. Same channel, opposite standing.

The functional picture reinforces it. Both engines cite these channels mainly for how-to, definitional, and verification questions, but ChatGPT leans on them far harder for procedural how-to and causal why answers, while Google AI Overviews is the engine that surfaces them for head-to-head comparison queries. The implication for marketers is that a Reddit or LinkedIn presence is not one asset with one value. It is an asset whose value depends entirely on which engine is reading it and what job the user is doing.

The Same Reddit Citation Lives in Two Different Neighborhoods

The clearest signal in the data is the company Reddit keeps. We measured how often a Reddit citation appears next to other social and UGC platforms versus next to editorial authorities, and the two engines come out as near mirror images of each other.

On Google AI Overviews, Reddit sits inside a crowd. YouTube is the dominant neighbor, and the rest of the pack is Facebook, TikTok, Instagram, and Quora. The engine is effectively grouping Reddit with other places where people post, treating it as one more voice in the user-generated layer.

On ChatGPT, Reddit keeps very different company. Its most frequent co-citations are Healthline (around 12% of Reddit-cited answers), Mayo Clinic (around 9%), Cleveland Clinic (around 8%), and Encyclopedia Britannica, with Medical News Today, Verywell Health, WebMD, and the CDC close behind. The engine is slotting Reddit into the same answers as the most trusted reference publishers on the web. For a marketer, that is the difference between background noise and borrowed credibility.

LinkedIn Keeps Professional Company on Both Engines

LinkedIn does not show the same dramatic flip, and that is itself a finding. On both engines its co-citation neighbors are professional: career and education platforms like Indeed (roughly 11% of LinkedIn citations on AI Overviews), ZipRecruiter, Coursera, Udemy, and LinkedIn Learning. Editorial authorities sit next to LinkedIn rarely on either engine, around 3% on AI Overviews and 5% on ChatGPT. The role is consistent rather than inverted: both engines file LinkedIn as a professional and career source.

One detail stands out. On ChatGPT, the single most common co-citation inside LinkedIn-topic answers is Reddit itself, appearing in roughly 15% of those answers. ChatGPT reaches for Reddit to round out professional answers far more than Google AI Overviews does, which means the two channels are not always competing for the same slot. Sometimes they share it.

What These Channels Get Cited For

Looking only at prompts that carry a clear question or intent, the functional jobs these channels perform are mostly shared, with a few sharp differences. The table below shows the share of intent-bearing citations by functional job.

How-to is the swing job, and ChatGPT leans on social much harder for it. Reddit how-to citations roughly double from AI Overviews to ChatGPT, and LinkedIn climbs from about 22% to 33% of intent-bearing prompts. ChatGPT also pulls Reddit for causal why questions (why something happens, why a symptom appears) more than twice as often as AI Overviews does.

Comparison is a Google AI Overviews specialty. Around 10% of social citations on AI Overviews are head-to-head comparison prompts (americano vs latte, premium vs Sales Navigator). On ChatGPT it is about 1%, because the engine tends to synthesize the comparison itself rather than pointing to the thread where humans debated it.

Verification is everywhere, and the two channels do it differently. It accounts for 14% to 24% of citations across the board. On LinkedIn it is platform-capability checking (Can I unsend a LinkedIn message?). On Reddit it is consumer permission and reassurance (Can dogs have corn? Is this normal?).

One caution on reading this table: the labels capture the shape of the question, not always the reason the social source was pulled. A how-to prompt about a home remedy or a product setup is procedural on its face, but the reason Reddit gets cited for it is often the lived experience in the thread underneath. The experiential value of these channels is real, and much of it hides inside the how-to and verification buckets.

The Topics Each Channel Owns

The topical split is the most intuitive part of the picture and it holds across both engines. LinkedIn earns its citations in professional contexts: careers and recruiting, professional skills and online learning, platform how-to, business-to-business and sales topics, and term definitions. Reddit earns its citations in broad consumer contexts, but the consumer mix shifts by engine. On ChatGPT, Reddit skews toward health and medical questions, money and finance, definitions, and food. On Google AI Overviews, it skews toward entertainment and media, gaming, food, and tech. The health and finance concentration on ChatGPT is what produces the authority-publisher neighborhood described above. When the question is medical, ChatGPT pulls Reddit and Mayo Clinic into the same answer.

Intent and Tone

Informational intent dominates everywhere, and ChatGPT leans into it harder, accounting for roughly 80% to 85% of its citations versus about 65% to 70% on AI Overviews. The more commercially interesting band is consideration intent, which runs roughly 9% to 14% across all four cuts. That is the slice closest to a buying decision and the one marketers should care most about. Transactional intent is thin everywhere, in the low single digits, so neither channel is earning citations at the point of purchase. They are upper and mid-funnel assets.

There is also a tone difference worth noting. When LinkedIn is named as a brand in an answer, ChatGPT speaks about it positively far more often than AI Overviews does, roughly 46% of the time versus about 31%. Reddit is cited more neutrally on both engines, as a reference point rather than an endorsement. ChatGPT, in other words, is more willing to frame LinkedIn as a recommendation.

What Marketers Need to Know

Reddit is your highest-leverage credibility play on ChatGPT. Because the engine cites it next to Mayo Clinic and Healthline, a strong, well-upvoted Reddit thread can punch at the weight of an editorial citation there, especially in health, finance, and other research-heavy categories. That same thread on Google AI Overviews mostly buys a seat in a crowded social pack. Different engines, different value from the exact same content.

Match the channel to the job, not to the logo. LinkedIn earns citations for professional how-to and capability questions. Reddit earns them for consumer how-to, comparison, and lived experience. Decide which channel to invest in based on the question you are trying to win, then build the asset that answers it.

Win the question, not just the brand name. Citations flow to content that answers how do I, can you, and is it worth it, not to a bare brand mention. Build for the underlying job and the brand mention comes with it. A thread or post that resolves the actual question is far more citable than one that simply names the product.

Audit by engine, not in aggregate. The same channel is an authority on one surface and background noise on another. A blended, cross-engine view averages that difference away and hides it. Look at ChatGPT and Google AI Overviews separately to see the real role each channel plays in your category.

Treat comparison content as a Google AI Overviews opportunity. If you produce head-to-head comparison content, AI Overviews is where the social version of that conversation surfaces. Seeding credible comparison discussion where the crowd debates pays off disproportionately on that surface.

Technical Methodology

Key Takeaways