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
How Should You Plan Your Q1 Content Strategy for AI Search in 2026?
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How should teams plan their Q1 content strategy for AI search in 2026? By shifting focus away from publishing volume and toward how AI systems evaluate, connect, and reuse content over time.
In this episode of Found in AI, Cassie breaks down how AI-driven search is changing what “good planning” actually looks like. If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode explains why that approach falls short and how to plan with clarity rather than guesswork.
Rather than focusing on tactics, the episode outlines a strategic framework for planning content, social, and authority together, based on how AI systems assemble answers and assess trust.
In this episode, you’ll learn:
- How AI search systems evaluate and assemble answers differently from traditional search
- Why separating content and social planning weakens AI visibility
- How to plan Q1 content using the FSA framework (Freshness, Structure, Authority)
- Why AI visibility depends on 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 new ideation
- How AI share of voice reveals hidden strengths and real gaps
If you’re planning Q1 right now and trying to account for AI-driven search behavior, this episode will help you plan more intentionally without starting from scratch.
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
(Transcribed by TurboScribe.ai. Go Unlimited to remove this message.) It's the start of a new quarter and many of us are settling in to plan our content marketing strategies. But if you're thinking about just pushing out blog posts, well, I hate to tell you, but you're leaving the door wide open for your competitors to plant their flags in AI search territory. Hey everyone, welcome back. I'm Cassie Clark, a fractional content strategist and the host of Found in AI, where I dig into what's actually working with AI search and learn about it so that we don't get lost in this new wave of user search behavior. Today's episode is a solo episode, holiday schedules, you know how that goes. But listen, I know many of us are really mapping out our strategies for Q1 and we need a little bit of guidance. I talked about this on LinkedIn a few days ago, but I don't think I realized just how quickly user search behavior is changing. That is until I geeked out on my dad about AI search over the holiday and he, of all people, gushed about how much he loves Google's AI overviews. Now, if you know my dad, this is saying something. He is firmly in the boomer category. And I know I've been saying that I don't know that the boomers will jump in on AI search, but I was wrong. I'll be the first to admit and it's just more confirmation that search truly is changing fast. So if you're heading into Q1 planning right now, you're probably thinking about your content calendar or mapping out a few campaigns and thinking about blog themes and maybe even working on big thought leadership pushes. But what I want to do today is help you think differently about your Q1 content strategy. Specifically, how to layer in generative engine optimization or GEO without throwing out everything you already know. This episode is not a do these 12 tactics episode. Think about it more like a mental model. Mental model. Let me slow down a little. Mental model. And by the end of this episode, you should have a clearer way to think about how those AI systems actually surface content, how your content and social calendars need to be locked in working together, and how to plan Q1 using a framework instead of, well, just vibes. Let's dig into it. Okay, quick PSA before we really dive in. I got a new podcast mic over the holiday break and it is a bit different than the one I was using. So if it sounds a little bit different, I am still learning the settings and adjustments. We will get there eventually. Apologizing now ahead of time. But if you've been a long-time listener of the show, this might be a bit of a refresher for you. Let's just start with a quick overview on how AI search actually works. AI engines like chat, GPT, perplexity, Claude, Grok, Gemini, well, they're not out there ranking pages the way traditional search does. Instead, they're assembling answers. That means they're pulling information from multiple sources, they're weighing the options to see which one best matches the user intent, and then they're citing brands that they have confidence in. So unlike traditional search, where you can rank and stay there for a while, these systems are probabilistic. So the same prompt today and tomorrow might produce slightly different answers because that model is constantly re-weighing what it trusts. So visibility no longer comes from one perfect SEO-friendly blog post or one viral thread. It comes from a series of patterns, like the same ideas explained clearly across channels from the same brand or entity. And this is why I keep saying that your content strategy can't just be about traffic anymore. It should really center on teaching the models about your brand and training it on your data, which is exactly how we need to think about planning content for Q1. So based on current model behavior, AI engines pull from both blog posts on a brand's website and their social content on various platforms like Reddit, LinkedIn, YouTube, wherever. So if you're still planning content maybe, you know, as a thing over here and then social as a thing over here and they're kind of separate, well I get it. It's an easy trap to fall into. I do this all the time, but it's a habit that kind of just really needs to disappear. I'm preaching to myself. AI engines pick up on signals. So a blog post that gets published, shared just once, and then quietly pushed into the library, never to be really seen again, well it's weak compared to a blog post that's summarized on LinkedIn, discussed in the comments, referenced in a podcast, or mentioned on YouTube. Think of social as reinforcing the ideas, not so much as just the distribution channel of, hey here's something we wrote, read it, and then you never talk about it again. So when you're planning Q1, the question really isn't what are we posting and when? It's more like what ideas are we reinforcing and where? One strong idea consistently reinforced beats 10 disconnected posts every single time. So let's get a little bit tactical about this, and yes I said this wasn't a tactics episode, but thinking about your Q1 strategy with a new framework in mind is helpful. If you've been listening, you know I've been talking about the FSA framework, which stands for Freshness, Structure, and Authority, and this is how I'm thinking about content moving forward. Let's walk through this specifically for planning. So freshness doesn't really mean published date. Instead it refers to continued relevance reinforced over time, like updating, revisiting, and reframing your content. When planning Q1, go take a hard look at your existing content or planned content, and then ask what content deserves a second life, what ideas are still relevant but need context, and what can be refreshed instead of replaced entirely? Think of freshness as a wait, not so much a time stamp. Just going in and changing that published date's not really going to help a whole lot, so you really need to think about what you can do to make your post look like it has new life if you're doing an update. Next we have structure, which is about how clearly your ideas are organized. AI systems love clear explanations and logical relationships. So for Q1, this means creating fewer one-off posts and being more intentional about covering your core themes. If you already have an SEO strategy in place, well this is where it kind of comes in handy too. Think technical SEO. So speaking of SEO, most of us use SEO as a way to strengthen our domain authority, but for AI search, authority here is entity authority, and you can create a stronger entity by being consistent and maintaining a presence across the channels AI engines crawl, and by aligning what you say, how you say it, and where you say it. I like to think of entity authority like a library shelf. The more times your ideas show up, the more confident the system, or those AI librarians, that's how I think about it, the more confident they are pulling from you as a source. So think of each post as stocking the library shelf. You don't need to write a bestseller. You just need good content for the AI systems to trust, and then reuse inside those answers when someone prompts a related question. So going back to SEO for a second, let me say this clearly because I know someone needs to hear it. GEO is not anti-SEO. Your SEO still absolutely matters. You still need a technical foundation, and keyword research absolutely helps, but SEO doesn't explain why some brands show up in AI answers and others don't, even with good content. GEO is the layer that answers that, and Q1 planning is the perfect time to add that layer in intentionally. Okay, so where do we go from here, and how do we use this to plan our content? Well, if you've been in content marketing for a while, or working with the same brand for a while, you probably know you have a whole backlog of content. I'm seeing a lot of brands jump straight into ideation without thinking about how their content is already performing, or where they currently hold visibility within the AI systems. A lot of brands, though, already have content that's showing up in AI answers and influencing visibility, but they're just not measuring it. Before you plan Q1, you really need to know where you already have AI share of voice, and what content is being reused, so you know where the gaps truly are. Some content doesn't need to be replaced, it just might need to be structured with FAQ schema, or, you know, reorganized so that it's easier for the AI models to parse, and it probably just needs reinforcement across channels, including on your blog and social platforms. So take a minute to diagnose your current visibility before planning content that may or may not help authority inside of those AI engines. So if you take nothing else for this episode, take this. Q1 content planning with GEO in mind is thinking about systems, reinforcing the ideas, and building visibility over time. You don't need to reinvent your entire content strategy, or throw out your current SEO strategy, you just need to see it clearly and then build on top of it for what's working in the AI search today. So if you're heading into Q1 and want to understand what content is already carrying your visibility, where your authority is strong, or where it might be a little bit weak, and then where the real opportunities are, well that's exactly what my AI visibility audits are built for. I'll link those below in the show notes if you're interested in learning more. Okay, that's it for this episode. Thanks for listening. Tune in Thursday for a quick update about what's happening in AI search. I will see you in the next episode.