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In this episode of Found in AI, Cassie breaks down three major AI search stories from the week—including a Google patent that has the SEO community rattled, Perplexity's most ambitious product launch yet, and a long-awaited tone fix from OpenAI.

The headline: Google filed a patent describing a system that could generate AI-built landing pages tailored to a user's query, potentially replacing the need to click through to your website at all. It's not live, but it's a signal. Cassie explains why content specificity and structure matter more than ever, and how the FSA Framework applies directly.

In this episode, you'll learn:

• What Google's AI-generated landing pages patent actually describes and what it signals about the future of search
• Why brands with vague, generic landing pages are most at risk, and what to do about it
• How content specificity and the FSA Framework protect your visibility, whether this patent ships or not
• What Perplexity Computer is, how it orchestrates 19 AI models into a single workflow system, and why it matters for marketers
• Why Perplexity dropping ads while ChatGPT adds them tells you something about the evolving AI search landscape
• What OpenAI changed in GPT-5.3 Instant to fix the overly therapeutic tone that drove users away from ChatGPT
• Why staying current on how AI models shift in personality—not just capability—matters for your content strategy

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