Found in AI
Podcast Description
Found in AI helps marketers, founders, and content strategists master visibility in the era of AI-first search. Hosted by Cassie Clark, the strategist behind Cassie Clark Marketing, this podcast delivers real experiments, SEO and 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 generative AI discovery to drive traffic, leads, and authority in a changing digital landscape.
Podcast Insights
Content Themes
The podcast explores various topics such as SEO evolution, generative AI optimization, and digital marketing trends. Specific episodes include discussions on whether SEO is obsolete with guests analyzing AI-driven traffic shifts and recommendations for startups to remain relevant. An example episode features the concept of Answer Engine Optimization (AEO) compared to SEO and actionable steps for content readiness.
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.
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In this episode of Found in AI, Cassie Clark talks with Peter Rota, an SEO professional with 15 years of experience, about the rapidly growing market for AI visibility tools — and where those platforms still have room to improve.
Cassie and Peter discuss why actionability remains one of the biggest challenges with AI visibility software, what teams should look for when evaluating a platform, and why a visibility score alone may not tell you very much.
They also dig into one of the biggest AI search measurement questions: should brands care more about being cited, mentioned, or actually recommended?
Peter shares his own hierarchy — recommendation, mention, then citation — and explains why citations can sometimes come dangerously close to becoming a vanity metric if they aren't connected to meaningful business outcomes.
In this episode:
- Where AI visibility tools are useful — and where they still fall short
- Why AI visibility data needs to lead to action
- What to consider before paying for an expensive AI visibility platform
- Why prompt-based visibility scores don't tell the whole story
- Why mentions and citations shouldn't be combined into one metric
- The difference between being recommended, mentioned, and cited
- When citations risk becoming a vanity metric
- Why the intent behind the prompt matters
- How to identify a perception gap between your website and an AI system's understanding of your brand
- Why lower-funnel prompts may be more valuable to track
- Whether your next AI search investment should be software or a person who can actually turn the data into strategy
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Cassie Clark is 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 [email protected].
Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/
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