Found in AI Podcast Por Cassie Clark arte de portada

Found in AI

Found in AI

De: Cassie Clark
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Found in AI helps marketers, founders, and content strategists master AI search visibility in this new era of search. Hosted by Cassie Clark, fractional content strategist and AI search optimization expert, this podcast delivers real experiments, SEO, GEO/AEO, content marketing tactics, and AI search optimization strategies you can use to get found on platforms like ChatGPT, Perplexity, Gemini, and beyond. Each week, you’ll learn how to blend traditional SEO with AI search to drive traffic, leads, and authority in a changing digital landscape.

© 2026 Found in AI
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Episodios
  • Why Reddit Overtaking TikTok for Search Is a Bigger Deal Than It Sounds
    Jan 8 2026

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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:

    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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    6 m
  • How to Plan Your 2026 Q1 Content Strategy for AI Search
    Jan 6 2026

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    📬 Do you like this podcast? You’ll love the newsletter.
    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

    Más Menos
    11 m
  • What Google’s Search Console Beta Test Reveals About AI Visibility
    Jan 1 2026

    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 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/

    Más Menos
    10 m
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