Found in AI: AI Search Visibility, SEO, & GEO
Found in AI is a podcast for marketers, founders, and content strategists who want to understand—and win—AI search visibility in the new era of search.
Hosted by Cassie Clark, fractional content strategist and AI search visibility consultant for startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google’s AI-powered search experiences discover, select, and surface content.
Each episode breaks down real-world experiments, SEO, GEO / AEO, and content marketing strategies designed to help brands get found in AI-generated answers, not just traditional search results.
You’ll learn how to:
-Optimize content for AI-driven search and answer engines
-Blend traditional SEO with AI search optimization
-Build entity authority across search, social, and AI platforms
-Drive traffic, leads, and trust as search behavior continues to evolve
If you’re trying to future-proof your content strategy and understand how AI is reshaping discovery, Found in AI gives you the frameworks, insights, and tactics to stay visible—wherever search happens next.
Found in AI: AI Search Visibility, SEO, & GEO
Why Do Reddit Comments Matter More Than Posts in AI Search?
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Why do Reddit comments matter more than posts in AI search? Because comments contain context, lived experience, clarification, and human validation. And those are the exact signals AI systems rely on when deciding what to reuse in generated answers.
In this episode of Found in AI, Cassie is joined by Danny Kirk, founder of ReddiReach, to break down why Reddit plays such an outsized role in AI search visibility—and why commenting often matters more than posting when it comes to showing up in systems like ChatGPT, Gemini, and Perplexity.
The conversation unpacks how AI engines pull from Reddit threads versus individual comments, why citations from Reddit have shifted recently, and how human interaction signals influence what AI systems trust and surface. Rather than treating Reddit as a risky or opaque channel, the episode explains how to approach it strategically—without spamming, over-posting, or burning credibility.
In this episode, you’ll learn:
- Why Reddit remains one of the largest sources of training data for large language models
- What the recent drop in Reddit citations actually means (and what it doesn’t)
- How AI engines pull from Reddit threads compared to individual comments
- Why human interaction matters more than upvotes or karma alone
- The difference between posting and commenting for AI search visibility
- How brands can reverse-engineer Reddit signals using Google and AI tools
- Tools that help teams 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 visibility play, similar to SEO
- How a single helpful Reddit comment can influence AI answers, even for brands with little or no online presence
- Why AI systems consistently favor content with a real, identifiable human behind it
If you're listening to this and thinking I need someone to lead this for me, that's what I do.
I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.
Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/
Let’s connect:
LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com