You invested in PR, SEO and a corporate blog — then you open ChatGPT, ask for a recommendation in your sector and see three brands you have never heard of. Those brands have no budget: they have hundreds of real comments on Reddit, where real users recommend them to other real users. AI models have learned exactly that pattern and replicate it in their answers. Across three tested queries, nearly half of the cited sources were Reddit threads — and the recommended brands were the ones with the most organic mentions in those threads. Building that presence authentically without getting kicked off the platform is possible, but it requires a precise approach.
Reddit is the most powerful source you have never considered. When ChatGPT looks for authentic recommendations, it digs into Reddit threads before any other public source on the web.
It’s a paradox I struggle to get my clients to accept: they spent years building a presence on LinkedIn, doing PR on industry publications, curating the corporate blog. Then they open ChatGPT, ask for “best grain-free kibble for dogs with allergies” and see three brands cited that have 400 comments from real users on Reddit, while their own — perhaps with an objectively more solid product — doesn’t even make the top ten. Let me explain why this is happening and how to flip it without getting banned by a moderator in the early afternoon.
Why AI models love Reddit more than any other source
In the original 2019 GPT-2 paper and later in the 2020 GPT-3 paper, the authors explicitly stated that the training corpus included a massive portion of content collected by following links shared on Reddit with at least 3 karma — the famous WebText dataset. It wasn’t a technical detail: it was a curation choice. Reddit worked as a human quality filter, cheaper and more scalable than any newsroom.
From this follows something simple for your business: the models saw Reddit during training, they saw it in quantity, and they learned to recognize the pattern of “an anonymous user recommending a product to another anonymous user”. Today that same pattern is reactivated when someone on ChatGPT asks for a recommendation.
It’s no longer just a matter of training data. Tools like ChatGPT Search and Perplexity, when they receive a recommendation query, in many cases retrieve Reddit threads in real time and use them as a source cited on the page. The practical consequence is that if no one on Reddit has ever written “I use brand X kibble and my dog got better”, the AI has no material on which to build a recommendation for your brand.
On the adjacent principle — how unlinked mentions still carry weight for the AI — I have already written in previous articles: if you haven’t read it, I recommend stopping by implicit reference weight before continuing here.
The reverse engineering I did on 3 pet queries
I took three typical queries from an audience that buys dog products online, all tested on ChatGPT with search active and on Perplexity the same afternoon:
- “best grain-free kibble for dogs with allergies”
- “best anti-itch shampoo for dogs with sensitive skin”
- “joint supplement for large senior dog”
For each query I noted the sources cited on the page and opened one by one the Reddit sources that appeared. Small sample, indicative test, not a systematic study: but the pattern was clear-cut.
Out of 24 total sources cited by the two AI engines across the three tests, 11 were Reddit threads. Among these, the recurring threads came from vertical subreddits like r/dogs, r/dogfood, r/Dachshund, r/Veterinary. The brands recommended most often by the AI were exactly the ones organically mentioned by users in those threads — not the brands with the biggest ad budget, not the ones with the best SEO-optimized product page.
Translated into practice for a pet e-commerce store in Pavia or southern Lombardy selling artisanal kibble or veterinary supplements: if your satisfied customers aren’t writing somewhere in a community where their experience is discussed, your brand stays invisible at the moment another potential customer asks the AI for advice. Stated limitation: three queries aren’t enough to prove an algorithm, but the pattern repeats often enough to justify a change in strategy.
Someone pays an agency that opens 30 fake accounts and starts writing “I use [brand] and I’m very happy with it” under plausible questions.
The test you can run yourself in fifteen minutes
Open ChatGPT in one window, Perplexity in another. Choose three queries a customer of yours would actually use — not “best premium pet food Italy” which is a marketing query, but “kibble for a dog with chronic pancreatitis” or “shampoo for a dog that licks its paws” which are queries from a worried person at eleven at night.
For each query note three things: which brands are cited in the answer, which sources on the page are linked, how many of those sources are on reddit.com. If the percentage of Reddit sources is above 30%, you’re in a sector where the community matters enormously and ignoring it costs you visibility every single day.
Second step: go to Google and search `site:reddit.com “your brand name”`. Count the results. Below 10 threads in the last year, for a brand that has been selling online for more than two years, is a sign that something isn’t reaching organic word of mouth. Above 50, you’re already inside the conversation — you just have to figure out whether the comments are positive or whether you’re the negative little story everyone shares.
This is an honest entry-level check: for a serious analysis of real share of voice on Reddit you need professional tools and a semantic analysis of the comments. But the test above tells you in a quarter of an hour whether you’re starting from zero or from something.
For 60 days, answer only other people’s questions with technical-veterinary value, without ever citing your brand.
The mistakes I see most often
The first mistake is the billboard profile. An entrepreneur creates a Reddit account with the brand name, makes 3 promotional posts in the first week, gets banned by the moderators and abandons the platform convinced that “Reddit doesn’t work”. Reddit works perfectly: what doesn’t work is advertising disguised as a spontaneous post.
The second mistake is the thread farm. Someone pays an agency that opens 30 fake accounts and starts writing “I use [brand] and I’m very happy with it” under plausible questions. The r/dogs moderators notice within weeks, the brand ends up in the collective banhammer, and those threads — once discovered — often themselves become material cited by the AI in a negative light. You just paid to worsen your algorithmic reputation.
The third mistake is total absence. The entrepreneur who tells me “but my customers aren’t on Reddit, they’re on Facebook”. In Italy it’s true that Reddit has less penetration than in other markets, but whoever asks the AI for a pet recommendation is often exactly the mid-to-premium customer looking for vertical information, not the one scrolling generalist Facebook groups. Losing that customer means losing the highest margin in the catalog.
The fourth mistake, more subtle, is confusing mention and recommendation. If in a thread on r/italy someone names you saying “I’ve heard of [brand]”, the AI doesn’t count it as a recommendation. The strong signal is “I use X with my cocker spaniel, diarrhea gone in two weeks” — first-person experience, specific, with a result.
What to do concretely
- Open a Reddit account with your real name (not the brand), write a bio as an industry expert, not as a seller.
- Identify 3-5 subreddits where your domain is genuinely discussed. For a pet e-commerce store: r/dogs, r/DogFood, r/puppy101, r/AskVet, r/Veterinary.
- For 60 days, answer only other people’s questions with technical-veterinary value, without ever citing your brand. The goal is to build karma and recognition as a contributor.
- After this phase, when you reply and the product is relevant, you can specify “I work for X, so I have a conflict of interest, that said product Y does Z”. Transparency is the only passkey moderators accept.
- In parallel, ask your most satisfied customers (the ones who send you photos of their recovered dog) if they’d be willing to share their experience in a community — no script, in their own words.
- Monitor monthly with `site:reddit.com “brand”` and note whether the comments are positive, neutral or negative. At the first negative comments, reply publicly with humility and a concrete solution. The AI reads the replies too.
Reddit is the word of mouth the AI has learned to read
If all the work on your authority as perceived by the AI engine and on your positioning as a recognized entity serves to make you found when the customer searches for you by name, Reddit serves to make you found when the customer doesn’t know you yet and asks for generic advice. They are two legs of the same body.
The thing I’d like you to take home from this article is that visibility in AI answers isn’t played out only on your site or on the publications that talk about you — it’s also played out in the conversations you don’t control. Reddit isn’t a magic factor and isn’t enough on its own, but it’s one of the most underrated levers by Italian brands precisely because it seems exotic.
In the next articles in the series I’ll talk about how Italian vertical forums (smaller but just as read by the AI) enter the mix, how to build a digital PR strategy that simultaneously feeds mentions on publications and discussions in communities, and how to measure real share of voice in generative answers.
