Found in AI Ep. 18: Reddit, AI Search, and Why Comments Matter More Than Posts

In today’s episode of Found in AI, we’re diving into Reddit — the platform marketers love to debate and often avoid — and unpacking why it plays such an outsized role in AI search visibility.

I’m joined by Danny Kirk, founder of ReddiReach, to break down what’s actually happening behind the scenes: how AI engines like ChatGPT, Gemini, and Perplexity pull from Reddit threads and comments, why citations have shifted recently, and why commenting often matters more than posting when it comes to showing up in AI answers.

If you’ve been wondering whether Reddit is “dead” for AI search, how much effort it’s really worth, or how to get started without turning into that brand on Reddit, this episode brings clarity — and practical next steps.

We cover:

• Why Reddit is still one of the largest sources of training data for LLMs
• What the recent drop in Reddit citations actually means (and what it doesn’t)
• How AI engines pull from Reddit threads vs. individual comments
• Why human interaction matters more than upvotes or karma alone
• The difference between posting and commenting for AI visibility
• How brands can reverse-engineer Reddit signals using Google and AI tools
• Tools that help you avoid Reddit rabbit holes and stay focused
• What the first 30 days of a realistic Reddit strategy look like
• Why Reddit is a long-tail play, similar to SEO, not a quick win
• How a single helpful Reddit comment can influence AI answers — even for brands with little to no online presence
• Why AI engines consistently favor content with a real, identifiable human behind it

If you’re trying to understand where Reddit fits into a modern AI visibility strategy — and how to use it without spamming, over-posting, or burning credibility — this episode gives you a grounded, practical starting point.

Found in AI Podcast Transcript

Reddit, AI Search, and Why Comments Matter

Host: Cassie Clark
Guest: Danny Kirk, Founder of ReddiReach

Intro

Reddit is a place marketers love to talk about… and hate to actually use.

But right now, whether you’re personally a Reddit person or not, it’s getting harder to ignore its impact on AI search — from what gets surfaced in Google to what’s being trained into large language models.

Hey, I’m Cassie Clark, fractional content strategist and host of Found in AI, where I help marketers and founders understand what’s actually working with AEO and GEO so we don’t get lost in this new wave of search.

A few weeks ago, Beth Chernes joined the podcast and we talked Reddit strategy. Today, we’re zooming in on the mechanics: why Reddit matters, how AI engines pull from threads and comments, and what a realistic first 30 days looks like if you want to show up more often in AI answers.

I’m joined by Danny Kirk, founder of ReddiReach, and he’s going to walk us through what he’s seeing across brands, tools, and citations — including why commenting is often more powerful than posting.

Let’s dive in.

Danny’s Background

Danny Kirk: Thanks, Cassie. I’m Danny Kirk, founder of ReddiReach. We’re an agency that helps seven- to ten-figure brands get recommended in AI search using organic Reddit marketing, while also capturing the broader organic marketing opportunities on Reddit itself.

Reddit’s Role in AI Search

Cassie: We mention Reddit almost every episode. What role does Reddit play in AI search right now?

Danny: At a high level, Reddit is still the single largest source of training data for large language models. Historically, companies were scraping Reddit, then partnerships formed so platforms like Google and OpenAI could access Reddit’s API directly.

That’s why about a year and a half ago you suddenly started seeing Reddit links all over page one of Google. Reddit provides the data, and in return, these companies financially support Reddit.

Citation Shifts and What They Mean

Cassie: So is Reddit still important even though citations dropped recently?

Danny: Yes. Reddit citations dropped from roughly 80% of AI citations to around 20–30%. Honestly, 80% was too high. No single source should dominate that much. But even at 20%, Reddit remains the largest single source of training data for LLMs.

Other Data Sources AI Uses

Cassie: What about websites, YouTube, or other sources?

Danny: All of those still matter. Your website’s indexing and structure still count. SEO fundamentals still apply. Blogs, public social profiles, YouTube, and Wikipedia all play a role — though weighting varies by brand and industry.

Competitive Visibility

Cassie: So visibility depends on where your information exists — and where competitors are stronger?

Danny: Exactly. If competitors have optimized sites, strong content, Reddit presence, and YouTube coverage, they may be referenced instead of you. The goal is to create a broad surface area that signals relevance to AI search.

What Reddit Content AI Pulls From

Cassie: What types of Reddit content get cited?

Danny: It’s a blend. We’ve seen citations from posts with zero upvotes and posts with thousands of upvotes. High-karma users, low-karma users — all of it. AI appears to balance freshness with engagement because it’s ultimately looking for human data, which changes constantly.

Why Comments Matter More Than Posts

Danny: Google indexes posts, but we believe LLMs pay close attention to comments because that’s where real interaction happens. Posts can get deleted quickly, especially promotional ones. Reddit dislikes promotion.

Comments allow you to be genuinely helpful. Even if AI never picks you up, you can still get customers directly from Reddit. When helpful human interaction happens, AI systems recognize that as high-signal content.

Tools to Avoid Reddit Rabbit Holes

Cassie: How do you avoid getting lost on Reddit?

Danny: We use tools like GummySearch and Subreddit Signals. Some tools function like RSS feeds, bringing relevant posts to you so you don’t fall into endless scrolling.

Trust and Human Incentives

Cassie: Why does AI trust Reddit so much?

Danny: AI companies need human-generated data. Reddit is still largely human-driven. While bots exist, the majority of Reddit is real people interacting over time, which makes it valuable training data.

Common Misconceptions About Reddit

Danny: One misconception is that Reddit is “dead” for AI search — it’s not. Another is that one post or comment will instantly get you everywhere. Reddit is a long-tail strategy, similar to SEO. The value compounds over time.

A Real-World Example

Cassie: I’ve seen this firsthand. I left a few comments about a brand-new tool with almost no online presence. A week later, when I asked ChatGPT about it, those Reddit comments were reflected in the answer. It works — but it takes consistency.

Reverse Engineering Reddit Visibility

Danny: To reverse engineer what works, search Google for “best X for Y + Reddit” and see what ranks. Then ask an AI engine what Reddit thinks about that topic and request answers based only on Reddit links. Compare posts and comments.

We also use a tool called Peekaboo, which shows AI search visibility, competitors, and ranking factors.

First 30 Days on Reddit

Cassie: What should the first 30 days look like?

Danny: First, your account needs to be warmed up — sometimes for months. Then study what ranks in Google and AI tools, identify relevant threads, and comment helpfully.

Never post auto-generated comments. Add human context. Spend about 20 minutes a day. Over time, the results compound.

How Reddit Fits into a Full AI Strategy

Danny: Reddit should be part of a holistic AI visibility strategy. Understand the landscape, identify quick wins and long-term plays, and work through them consistently. Reddit is one piece of a larger puzzle.

Outro: Practical Reddit Strategy

Before we wrap up, here’s a simple way to get started with Reddit.

First, don’t rush account setup. Warm up your account and build karma before talking about your product.

Yes, subreddits like AITA make it easy to earn karma — but be mindful. Reddit is public, and your comment history reflects your brand. Don’t drop hot takes just for points. Be thoughtful and consistent.

Second, observe before posting. Search Google with your keyword plus “Reddit,” then compare that with what AI engines surface when you ask, “What does Reddit think about X?”

Third, comment more than you post. Comments are where human interaction happens, and that’s the signal AI engines pick up on.

I know this works because I’ve tested it. A single helpful Reddit comment about a tool with almost no online presence was later referenced by ChatGPT. No backlinks. No authority. Just one real interaction.

Finally, keep it human. When AI engines recommend between similar sources, they consistently favor content with a real, identifiable human behind it. These systems are getting better at detecting what’s real versus mass-produced or AI-generated.

If this episode was helpful, please leave a review — it helps people (and AI engines) understand what this podcast is about.

For more resources on AI search and GEO, visit cassieclarkmarketing.com or email cassie@cassieclarkmarketing.com.

Thanks for listening to Found in AI. I’ll see you in the next episode.

If we haven’t met yet….

Hi, I’m Cassie, a fractional content strategist for early-stage startups who focuses on AI search optimization.

I build content programs that connect strategy with execution: clear positioning,  systems, and content that actually drives revenue. If you’re ready to stop guessing and start growing, here’s how we can work together.