How AI Tools Like ChatGPT Decide What to Say About Your Brand

Type your brand name into ChatGPT and ask what people think of it.

Whatever comes back — positive, negative, incomplete, flat-out wrong — wasn’t invented. It was learned. From somewhere on the internet. From real text, written by real people, scraped at a specific moment in time.

The question most brand owners never ask is: where exactly did it learn that? And more importantly — can you influence it?

The answer to both is Reddit. More than almost any other platform on the internet.

How LLMs Actually Learn What They Know

Large language models like ChatGPT (built by OpenAI), Claude (Anthropic), and Gemini (Google) are trained on enormous datasets of text pulled from the internet. The training process — at a non-technical level — works like this:

The model reads billions of documents. It learns patterns: which words follow which other words, which claims appear repeatedly, which sources tend to be cited alongside which topics. It doesn’t store facts like a database. It encodes statistical relationships between language. When you ask it a question, it generates the most statistically probable answer based on everything it absorbed during training.

That means the quality and composition of the training data determines what the model believes.

If a brand appears frequently in positive contexts — in forums, reviews, articles, community discussions — the model learns to associate that brand with those positive signals. If the only places a brand appears are complaint threads and negative reviews, the model encodes that instead.

Training data is not neutral. It reflects whatever the internet was saying at the time it was collected.

Why Reddit Is Disproportionately Represented

Here’s what most people don’t know: Reddit makes up a wildly outsized share of LLM training data relative to its overall traffic.

The reason comes down to data quality. When AI labs were assembling training datasets in the 2019–2023 period, they needed:

Long-form, coherent human text (not tweets or captions)
Conversational writing (not just formal articles)
Topic diversity (not just news or Wikipedia)
High signal-to-noise ratio — real discussions, not SEO spam

Reddit ticked every box. Its voting system naturally surfaces the highest-quality responses. Its community structure organises discussions by topic. Its threads contain genuine human expertise across millions of subjects. The Pushshift Reddit dataset — a comprehensive archive of Reddit posts and comments — became one of the most commonly used sources in early LLM training pipelines.

Estimates suggest Reddit content accounts for somewhere between 5–15% of many major training corpora. For a platform that represents a fraction of global web traffic, that’s a remarkable overrepresentation — and it has direct consequences for how AI tools describe brands in your niche.

The Licensing Deals That Cemented Reddit’s Position

In 2024, Reddit formalised what had been happening informally for years.

Google signed a deal with Reddit worth an estimated $60 million per year, giving Google preferential access to Reddit’s Data API for AI training and real-time indexing. The announcement came in February 2024, shortly before Reddit’s IPO. The explicit goal: feed Gemini and Google Search AI features with Reddit content.

OpenAI signed a similar partnership with Reddit in May 2024. The deal gives OpenAI access to Reddit’s Data API in real-time — meaning not just historical training data, but live posts and comments as they’re published. ChatGPT and future OpenAI products can now incorporate Reddit discussions as they happen.

What these deals mean in practice: Reddit is no longer just historical training data. It’s a live feed into the world’s most-used AI systems.

A Reddit thread about your product category published this week could influence what ChatGPT says about that category within months — and potentially indefinitely.

How Perplexity and Gemini Work Differently (But Reddit Still Wins)

Not every AI tool works from a static training dataset. Perplexity AI, Google’s AI Overviews, and parts of Gemini use a different architecture called Retrieval-Augmented Generation (RAG).

Instead of relying purely on what the model memorised during training, RAG systems:

Receive your query
Search the live web in real-time
Pull relevant documents into the model’s context window
Generate an answer that synthesises those sources
Cite the sources it used

This is why you’ll see Perplexity or an AI Overview cite specific URLs — it actually retrieved those pages to construct its answer.

And which URLs get retrieved? Overwhelmingly, high-authority pages that rank well in Google. Which, as of 2024, includes Reddit threads at an extraordinary rate. Studies found Reddit appearing in approximately 21% of Google AI Overviews — more than any other single domain.

The mechanism is different. The outcome is the same: Reddit dominates.

Whether an AI is generating from training data or retrieving in real-time, Reddit content ends up shaping the answer more than almost any other source.

Why a 2022 Thread Can Still Define Your Brand in 2026

Reddit content doesn’t decay the way social media does.

A tweet from 2022 is invisible. An Instagram post from 2022 gets zero engagement. But a Reddit thread from 2022 that got 200 upvotes and a dozen substantive comments? That thread is:

Still indexed by Google — Reddit pages retain their authority indefinitely unless deleted
Still cited in AI Overviews — Google’s retrieval systems surface it when the query matches
Still embedded in LLM training data — models trained on that data have it encoded permanently

This creates a permanence that’s unlike anything else in digital marketing. A brand narrative seeded on Reddit in 2022 is still actively shaping what AI tools say about that brand today — and will continue doing so through the next training cycle.

The inverse is equally true. A negative Reddit thread from three years ago — a complaint that got traction, a brand controversy that sparked a few heated comments — can be the single biggest source of negative AI sentiment about your brand right now. And most brand owners have no idea it exists.

The Compounding Effect: Indexed by Google + Cited by AI

This is where it gets interesting for brands that understand what’s happening.

A Reddit thread that ranks in Google doesn’t just get Google traffic. It:

Gets indexed and ranked (Google traffic, brand visibility)
Gets scraped into LLM training data (shapes model behaviour)
Gets retrieved by RAG systems when users ask related questions (AI citation)
Accumulates upvotes and engagement over time (increases authority, feeds back into #1)
Gets referenced in other Reddit threads (builds inbound links, feeds back into #1)

Each of these loops reinforces the others. A well-placed Reddit comment or thread doesn’t just earn traffic once. It earns citations, training weight, and authority — and those compound over time.

This is why Reddit marketing as a channel is fundamentally different from paid ads or social content. A $500 ad campaign stops the moment you stop paying. A Reddit thread that gets traction keeps earning visibility for years, across Google and every major AI tool simultaneously.

What This Means for Your Brand Right Now

If you haven’t audited what Reddit says about your brand, you’ve already ceded the narrative to whoever got there first — whether that’s a customer with a complaint, a competitor’s shill, or just an uninformed comment that happened to get upvoted.

The brands that understand this are treating Reddit not as a marketing afterthought but as an infrastructure layer — the foundation on which both their Google rankings and their AI reputation are built.

Our guide to getting your brand mentioned on Reddit covers the mechanics of how to actually do this without triggering Reddit’s spam filters or damaging your credibility.

The short version: this isn’t about gaming anything. It’s about participating in the conversations that already define your category — genuinely, at scale, before your competitors figure out what’s happening.

The Practical Takeaway

You don’t need to understand transformer architecture or the details of RAG retrieval to act on this. You just need to understand one thing:

AI tools learn what to say about your brand from the internet — and Reddit is the single most overrepresented source in that learning process.

Every thread in your niche is training data. Every upvoted comment is a citation waiting to happen. Every question answered with expertise is a signal that gets encoded and retrieved.

The brands that are winning AI visibility in 2026 aren’t the ones with the biggest ad budgets. They’re the ones that understood, early, that Reddit threads are permanent infrastructure — and built accordingly.

Ready to find out what AI tools are currently saying about your brand and what Reddit is feeding them? Book a free call and we’ll run the audit.