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On today's show:

Cassie breaks down recent reporting from The Guardian showing that Reddit has overtaken TikTok as a preferred search tool for Gen Z users in the UK.

At first glance, it sounds like a social media trend. But this shift points to something much bigger: how trust, discovery, and search behavior are changing—and why those changes align closely with how AI search systems decide which sources to surface and cite.

Cassie unpacks why Reddit’s structure, context, and lived-experience answers outperform entertainment-driven platforms when it comes to decision-making, and how those same qualities make content more reusable inside AI-generated answers.

If you’re a marketer, content strategist, or brand leader trying to understand why “good content” doesn’t always translate into AI visibility, this episode connects the dots between human behavior, AI systems, and the future of search.

In this episode:

• Why Reddit is becoming a default search tool for Gen Z
• The difference between inspiration-driven discovery and decision-driven search
• What Reddit’s rise reveals about trust and explainability
• How AI search systems evaluate and reuse content
• What this shift means for brand visibility beyond traditional SEO

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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Join the weekly 3-2-1 on AI search + marketing: subscribe

In today’s episode of Found in AI, I break down how to think about planning your Q1 content strategy as AI search rapidly reshapes how visibility actually works.

If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode will help you zoom out. AI systems don’t evaluate content the way traditional search engines do — and that has real implications for how brands should approach content, social, and authority moving forward.

This isn’t a tactics-heavy episode. It’s about how to think so you can plan with clarity instead of guesswork.

We cover:

• How AI search actually evaluates and assembles answers
• Why planning content and social separately weakens AI visibility
• How to think about Q1 planning using the FSA framework (Freshness, Structure, Authority)
• Why AI visibility is about patterns and reinforcement — not one “perfect” post
• Where SEO still plays a critical role — and where it stops being sufficient
• Why auditing existing content should come before ideation
• How AI share of voice reveals hidden strengths and real gaps

If you’re planning Q1 right now, this episode will help you plan more intentionally — without starting from scratch.

📌 Mentioned in this episode:

• How AI systems assemble answers vs. traditional rankings
• Content and social as reinforcement systems, not separate channels
• The FSA framework: Freshness, Structure, Authority
• AI share of voice as a planning signal
• Why diagnosing visibility matters more than publishing more content
• Preparing your Q1 content strategy for AI-driven search behavior

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing

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📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

On today’s show:

Google quietly rolled out a beta test in Google Search Console that surfaces social channels alongside traditional web metrics. While it may look like a small reporting change, it signals a broader shift in how Google defines discovery, visibility, and authority — and why AI systems surface brands the way they do.

In this episode:

• What the new Google Search Console beta reveals about how search visibility is evolving
• Why surfacing social channels inside Search Console is more than a feature update
• How this change aligns Google’s measurement systems with how AI answer engines already work
• Why brands can appear in AI answers without ranking traditionally — and vice versa
• How AI systems evaluate influence across websites, social platforms, and creators
• How this update maps directly to the FSA Framework (Freshness, Structure, Authority)
• What marketers should take from this shift as they plan content and visibility strategies for 2026

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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Join the weekly 3-2-1 on AI search + marketing: subscribe

In today’s episode of Found in AI, I sit down with Pat Reinhardt of Conductor to unpack why AI search isn’t just changing SEO — it’s revealing which strategies were never built to last in the first place.

We talk about why “ranking in ChatGPT” isn’t a real concept, how AI search actually evaluates trust and authority, and what marketers need to rethink as visibility shifts from keywords to share of voice.

We cover:

• Why AI search isn’t SEO in disguise — and where the fundamentals truly diverge
• Why share of voice matters more than rankings in LLM-driven search
• How brand mentions, citations, and sentiment influence AI visibility
• Why gaming the system works less — and reputation works more
• How marketers should think about ChatGPT, Gemini, and other models without chasing every engine
• What signals actually help brands earn trust inside AI-generated answers

If you’re questioning old SEO playbooks, seeing traffic patterns change, or trying to plan a durable strategy for 2026, this episode will help you separate what still works from what AI is actively devaluing.

📌 Mentioned in this episode:

• AI share of voice vs. traditional rankings
• Brand authority, citations, and sentiment in AI search
• ChatGPT, Gemini, and Perplexity — and where volume really lives
• Why reputation beats manipulation in LLM visibility
• Preparing your content strategy for AI-driven search behavior

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing, Conductor

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📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

On today’s show:

For years, we’ve treated domain authority as a permanent advantage in search. But inside AI-powered systems like Google Gemini and Perplexity, authority is being reassessed continuously. And it's based on freshness, structure, and how well the content matches the user's intent in the moment.

In this episode, I’m walking through a real-world case study where a single content update optimized specifically for AI search displaced legacy SEO publishers in under 96 hours.

Think of this as an audio case study on how AI systems actually choose sources — and what that means for staying visible as search behavior changes.

In this episode:

• Why domain authority alone is no longer a reliable safety net in AI-generated answers
• How one content update led to a 96-hour shift in AI Share of Voice
• What AI Share of Voice (AI SoV) measures, and why it behaves differently from keyword rankings
• How AI search creates a winner-take-most dynamic around a primary source
• Why legacy publishers weren’t penalized — they were simply outcompeted
• How the FSA Framework (Freshness, Structure, Authority) aligns with how LLMs evaluate content
• Why SEO still matters, but needs to be paired with a structure that AI systems can interpret
• What this case study signals for Series A, Series B, and enterprise teams heading into 2026

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us a text

📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

On today’s show:

Google has rolled out Gemini 3 Flash, and it’s now powering AI Mode in Search globally. While much of the coverage frames this as a performance upgrade, this update signals something more meaningful: a shift in how users interact with Search itself.

In this episode:

• Why this update is more than a performance upgrade — and how speed changes search behavior
• How faster, more confident AI answers keep users inside Search longer
• What Google means by “PhD-level reasoning” and why it builds a deeper trust layer
• How conversational follow-ups are reshaping discovery and decision-making
• Why brands that don’t appear inside AI answers risk becoming invisible at critical moments
• How this update reinforces the FSA Framework (Freshness, Structure, Authority)
• Why marketers should use AI Mode first and observe recommendations before auditing content

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us a text

📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

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.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Keywords:
Reddit Marketing, AI Search, Generative Search, AEO, GEO, AI Visibility, Reddit SEO, LLM Training Data, AI Citations, Content Strategy, Entity Authority, Reddit Comments, AI Optimization, Search Trends, Digital Visibility

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Send us a text

📬 Love the podcast? You’ll love the newsletter.
Get the weekly 3-2-1 on AI search + marketing: Subscribe

This episode marks the launch of a new weekly Thursday segment, where we cover the latest developments in AI search and their implications for visibility, content strategy, and discovery.

On today's show:

Google is quietly testing a new AI mode inside traditional Search — with no announcement, no documentation, and no roadmap. However, this experiment signals one of the most significant shifts in search behavior since the early 2000s.

In this episode, Cassie Clark is joined by AI researcher Adam Whistler, one of the first people to spot and analyze this hidden rollout. Together, they break down what’s changing, how AI results are being layered into Google’s default experience, and what this shift means for brands, creators, and anyone relying on organic visibility.

If Google moves AI mode into the mainstream, the discovery journey changes forever — and the time to prepare is now.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/