Ask ChatGPT, Perplexity, or Gemini what people really think about a CRM, a supplement brand, or a project management tool, and there's a good chance the answer echoes something first said on Reddit. Not always a direct citation. More often it's a pattern the model absorbed: the phrasing, the caveats, the "actually, most people use X for this" consensus that built up across years of threads. Reddit is one of the highest-weighted sources shaping how AI models talk about brands, and that weight comes from a specific mix of scale, structure, and now, formal licensing deals.

That weight isn't fixed. Reddit's relationship with the AI platforms that rely on its content has gotten more contentious, not less, and a 2025 lawsuit against Perplexity shows how quickly access and citation patterns can shift even when training-time influence stays put. This page covers why Reddit ended up in this position, what's changed, and what a brand can actually do about it without breaking Reddit's own rules against self-promotion.

Why Reddit carries this much weight

Reddit is one of the largest repositories of first-person, opinionated conversation on the web: two decades of posts and comments, organized by community, ranked by upvotes rather than SEO. That combination made it an obvious training source once companies started assembling large language model datasets, well before anyone formalized the arrangement.

Google went first, striking a data licensing deal with Reddit in February 2024 reported to be worth about $60 million a year, giving Google explicit rights to Reddit content for AI training and search features. OpenAI followed in May 2024 with a similar partnership, bringing Reddit content into ChatGPT and making OpenAI a Reddit advertising partner in return. Columbia Journalism Review put the OpenAI deal's value at around $70 million a year, part of a licensing portfolio Reddit built out through 2024 as it moved to block unlicensed scraping and require paid access instead.

These deals formalized something that was already true. Most large language models in wide use had absorbed years of Reddit content before formal licensing became standard, since Reddit was public and heavily crawled long before 2024. The threads in r/sysadmin about which monitoring tool actually holds up, the complaints in r/personalfinance about a company's billing practices: all of it became part of how models represent brand reputation in those categories, whether or not a model ever quotes a specific comment.

The picture is shifting, not disappearing

Reddit's relationship with AI platforms isn't settled. In October 2025, Reddit sued Perplexity, along with three data-scraping firms it accused of harvesting Reddit content through Google search results and reselling it, in a case filed in the Southern District of New York. The complaint alleges the defendants masked their identity and rotated IP addresses to bypass access controls, and that Perplexity kept citing Reddit content, more than before, even after Reddit sent a cease-and-desist letter back in 2024.

Trade coverage in the months that followed described a pullback: Perplexity leaning less on Reddit specifically, with YouTube and other platforms picking up a larger share of the citations Reddit used to hold. Reddit's underlying influence on how models were trained doesn't disappear because of a lawsuit. But which source gets cited live, especially for retrieval-based tools like Perplexity that pull content at query time, is a separate and far more volatile question than training-time influence.

That distinction matters for brands trying to plan around this. Training-time influence is slow to shift and hard to see directly. Citation behavior can change within weeks based on a single lawsuit, a contract renegotiation, or a product decision at any of the AI companies involved.

Where Reddit still dominates

None of this has dislodged Reddit from the top of independent citation research. Semrush's multi-platform study, covering more than 100 million citations across ChatGPT, Google AI Mode, and Perplexity, found Reddit among the handful of domains, alongside Wikipedia, YouTube, and LinkedIn, that together account for the large majority of citations these engines produce. Reddit's role is uneven across engines: it does far more work in Perplexity's live citations than in ChatGPT's or Claude's answers, where training-time influence matters more and direct citation is rarer.

Whaily's cited pages table for the demo brand Obsidian, with columns for domain, type, the brands a page names, a sightings count, the models that linked to it and an NCI score. A Zapier top list has 834 sightings from DeepSeek chat, ChatGPT gpt 5.4-mini and Gemini 2.5-flash, and an NCI of 84. A reddit.com comment thread in r/PKMS has 89 sightings from DeepSeek chat on its own, and an NCI of 41. The columns right of NCI are not in the picture.
Obsidian is Whaily's demo brand, a note-taking app. Every row is a page an answer linked to, and the Reddit thread here was reached for by DeepSeek chat alone where the Zapier roundup at the top was reached for by three. Names is a fact about the page's own text, so it reads unknown wherever Whaily could not read the page, which is every row marked Not read. Cut at the NCI column: first seen, last seen, tracked and read sit to the right of it.

For categories with active communities, SaaS, financial products, health and wellness, consumer electronics, professional services, this weighting is hard to avoid. If your category has a subreddit where people actually compare vendors, that subreddit is doing outsized work in shaping how AI models describe your space, whether you participate in it or not.

Which threads actually get cited

Not every Reddit thread carries the same weight. The ones that show up repeatedly in training patterns and live citations tend to share a few traits:

  • A clear question with a specific answer, not an open-ended discussion. "What's the best tool for a 10-person team" gets absorbed more consistently than a general venting thread.
  • A single comment or short exchange that reads as the community's consensus answer, usually the top-voted reply.
  • Enough engagement, upvotes and replies, to signal real agreement rather than one person's opinion.
  • Recency, particularly for retrieval-based platforms pulling live content rather than relying only on training data.

A thread buried in a niche subreddit with five upvotes rarely moves anything. A well-answered comparison question in a subreddit with real, ongoing category discussion does.

What to do

  1. Find where your category actually gets discussed. Search Reddit for your product category and your competitors' names, not just your own brand, to locate the subreddits and threads doing the real work.
  2. Read before you post. Understand the recurring criticisms and the language the community already uses before adding anything.
  3. Answer questions directly, with your affiliation disclosed. A team member answering a genuine question about your product, and saying who they work for, is normal and accepted on Reddit. Reddit's own help documentation frames the distinction as being a Redditor with a website, not a website with a Reddit account.
  4. Keep self-promotion to a small fraction of your activity. Many communities enforce something close to a 10% rule: at most one in ten of your posts or comments should be self-promotional, with the rest genuine participation unrelated to your product. Reddit's own spam guidance references this ratio directly.
  5. Monitor threads that name your competitors, not just your brand. Some of the highest-value threads for your visibility never mention you at all, they're a buyer comparing two other options. Adding something genuinely useful there is worth more than defending your name in a thread where you're already mentioned.
  6. Follow up when you fix something. When a product issue drove a complaint thread, post a transparent update once it's resolved rather than hoping the thread fades. The follow-up becomes part of the same signal a model later absorbs.

What not to do

  • Don't create accounts solely to promote your product. Reddit's spam detection tracks the ratio of promotional to non-promotional activity across an entire account, not just one subreddit.
  • Don't coordinate upvotes or use multiple accounts to manufacture consensus. It's the fastest route to a ban, and it produces exactly the kind of artificial pattern that current scraping lawsuits and platform scrutiny are trying to weed out.
  • Don't show up in a thread only to argue. A brand account that appears once, defensively, in a negative thread usually does more damage than staying silent.
  • Don't request removal of old, accurate criticism. Reddit moderators remove content that violates community rules, not content that's inconvenient for a brand. Removal requests rarely succeed and can draw more attention to the thread.

How Whaily fits

Whaily tracks which sources AI engines actually cite when they describe your brand, including how often Reddit shows up relative to review sites, YouTube, and your own website, so you can see whether your Reddit presence is doing real work. Citation source discovery shows where that language is coming from, and market intelligence helps you monitor the threads, including ones that name your competitors, where AI-visible sentiment actually forms.