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 optimization expert, 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
Is Google About to Replace Your Landing Page?
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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
Let’s connect:
LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com
Download Freshness, Structure, Authority: The Framework for AI Search 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 a limited number of specialized audit slots 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/
(Transcribed by TurboScribe.ai. Go Unlimited to remove this message.) Okay, let us get going. Hey, welcome back. Today is Thursday, March 5th. I'm Cassie Clark, a fractional content strategist and an AI search optimization expert, aka a nerd. This is your news update with everything happening in the world of AI search this week. And fair warning, I'm in the process of quitting coffee and I currently hate all of my life decisions because that's such a dumb idea. Anyway, before we start, I want to let you in on something I've been working on for the last forever. I turned the FSA framework into a full-fledged ebook. You can find it on Amazon. And if you download it now between March 5th and March 8th, maybe the 9th, I don't know how Amazon counts days. You can read it for zero whole dollars. I'll link it in the show notes. Okay, so this week we have three stories that we need to cover and they range from super important for your strategy to finally somebody fix something that we have all been complaining about. First, a Google patent that hints at an AI-generated landing page replacing the ones on your website. Then Perplexity launched something called Perplexity Computer. And to close this out, chat GPT might finally stop telling you to calm down. Let's get into it. Okay, let's start with the big one. Last week, a Google patent surfaced that has the search community understandably a little rattled. The patent is titled AI-generated content page tailored to a specific user. And here's a short version of what it describes. When someone searches for something, instead of sending them to your website, Google could use AI to generate a custom landing page. It's built from your content, but restructured and personalized to match that specific user's intent. So imagine someone searches for, I don't know, something like best carry-on luggage that fits under spare airline seats. Well, right now, they'd click through a luggage retailer's page, scroll through dozens of options, dig through dimensions and specs, and try to figure it out themselves. Under this patent, Google could theoretically generate a page that's already filtered to the exact bags that fit with the measurements right there and the searcher might not ever actually land on a retailer's website. Now, I want to be really clear about this one. This is a patent. It is not a live feature. It's not rolled out. Google hasn't confirmed anything. Google files patents all the time that never actually become products. So I'm not here to sound the alarm on this one, but I am here to say that we need to pay attention to what this signals. Because if Google is even thinking about generating landing pages on behalf of brands, that tells us something about how they view the current state of web content. It tells us they think they can do it better. And in some cases, they might be right. If your landing page is generic, unstructured, and vague, or if it requires five clicks and three filters before someone gets to what they actually need, then yeah, an AI-generated version would probably be more useful. And that's actually the opportunity here. The brands that will be fine, whether this patent becomes a real feature or not, are the ones whose content is already so clear, so specific, and so well-structured that there's nothing for Google to improve. This is where specificity matters more than ever. If your content answers the exact question a user is asking in a format that's easy to extract and easy to understand, you're already in a strong position. But I say this gently while holding your hand. If your content is broad or generic or requires a user to dig for what they need, you're exactly the kind of page this patent is designed to replace. I am so sorry. So the takeaway with all this, not so much panic, but it is get very specific. Structure your content for the exact queries your buyers are asking, because whether it's AI overviews, AI mode, or hypothetical AI-generated landing pages, the direction is the same. Google is moving toward giving users answers that are tailored, immediate, and frictionless. Your content needs to be ready to do all that. And honestly, all of this maps directly to the FSA framework, the freshest structure and authority. If your content is current, clearly structured, and backed by real expertise, you're building the kind of pages that AI systems trust, not the kind they want to replace. Okay, story number two. Perplexity launched something called Perplexity Computer. Despite its name, it's not a Perplexity-branded desktop sitting on your desk. Perplexity Computer is a cloud-based AI system that orchestrates 19 different AI models to execute entire workflows. So you describe an outcome, like build me a research report, create a website, or analyze my competitors. And it breaks that down into tasks, assign sub-agents to each one, picks the best model for each job, and delivers a finished product. So instead of you jumping between chat GPT for one thing, clock for another, Gemini for research, Perplexity Computer routes everything to the right model automatically. It runs in the background, it operates for hours, and it even creates additional sub-agents if it runs into a problem. Now, this is only available to Perplexity Max subscribers right now. That's our $200 a month tier. So it's not exactly an impulse buy. But the reason I'm covering it on a show about AI Search is because of what it signals about where Perplexity is headed. Perplexity started as an AI... Sorry, let me try again. Again, no coffee. I'm dying. Perplexity started as an answer engine. Then they launched the comment browser, and now they're building an execution layer platform that goes way beyond answering simple questions. So for marketers, the question is if Perplexity is evolving from an engine that cites your content to a platform that builds entire workflows from your content, what does this mean for visibility? Well, it means that the surfaces where your brand needs to appear are expanding. It's not just about showing up in those Perplexity answers anymore. It's about whether your content, like your data, your frameworks, your expertise, is structured well enough to be pulled into an automated workflow. We're still early on this one. I don't think you need to change your strategy because of Perplexity computer specifically, but I do think it's worth watching because as these AI platforms move from answering questions to doing work, the content they pull from to do that work is going to matter a lot. Okay, one more thing worth noting, and I think this is kind of interesting. Perplexity actually dropped their advertising business late last year. They said it was undermining user trust in the accuracy of their answers. So while ChatGPT is doing ads, Clod, Anthropic, definitely not doing ads. Perplexity is removing them. These are all different bets and different philosophies, and it's worth watching how both of them play out, or all of them play out. I'm curious. I will be watching this one for sure. Okay, last one, and honestly, this one might be the most relatable. If you're a ChatGPT user, take a breath. Kidding. I am not model 5.2, but I do have some good news. Model 5.3 is supposed to be less like a therapist. So there's that. OpenAI announced GTP... GPT... GPT 5.3. Maybe I'll just crack an apple coffee. Anyway, they announced GPT 5.3 instant this week, and the headline feature isn't a reasoning upgrade or a new benchmark. It's tone. They are fixing the tone. If you've used ChatGPT in the last few months, you know exactly what I'm talking about. You go in and you ask a straightforward question and get something back like, first of all, you're not broken, or take a moment, breathe, or it asks you how you're feeling with options to choose from when all you wanted was a recipe and or a spreadsheet formula. That was it. The overly therapeutic hand-holding tone of 5.2 drove a lot of users up the wall. Some people even canceled their subscriptions over it, and OpenAI heard the feedback loud and clear. They posted on X that 5.3 reduces the cringe. In the new model, instead of assuming you're in a crisis, ChatGPT acknowledges the difficulty of the situation without trying to be your therapist, which is what a lot of us wanted all along, I think, when it comes to that particular model. Now, it's worth understanding why OpenAI went so heavy on the empathy guardrails in the first place. They are dealing with multiple lawsuits related to mental health impacts on users, so the overcorrection makes sense from a liability standpoint, but there's a real difference between responding with empathy and being condescending, and 5.2 crossed that line for a lot of people. So for marketers and founders, this is mostly just a quality of life improvement, but it's also a reminder that these models are constantly changing, not just in capability, but also in personality, and if you're building content strategies around how AI engines respond to prompts, you need to stay current on how these responses are changing as well. Okay, that's your Thursday update. Quick recap over all of it, because I know that was a lot of information all at once. Google filed a patent that could let them generate landing pages on behalf of brands. It's not live, but it is a signal, so get specific with your content now. The more tailored and structured it is, the less reason any AI system has to replace it. Perplexity Launch Computer, a multi-model agent platform that goes way beyond search. The services where your brand needs to show up are expanding, and ChatGPT 5.3 will finally stop telling you to calm down. You can all breathe easier. Pun intended. If you're wondering where your brand stands in AI search right now, what's showing up, what's missing, what's to fix, that's exactly what the AI Visibility Audit covers. Head over to CassieClarkMarketing.com to get started. I'll also link it in the show notes. And don't forget, the FSA Framework ebook is free on Amazon through March 8-ish. Go grab it while it's free. If this episode helped, hit subscribe and leave a review. It really does help the show reach more marketers who need this information. All right, I'm going to down some more tea and hope that helps. I will see you next week. Until then, stay visible.