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
What Does Google Search Console’s New Beta Reveal About AI Visibility?
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What does Google Search Console’s new beta reveal about AI visibility? That discovery and authority are no longer defined solely by websites—and Google is beginning to measure visibility the way AI systems already do.
In this episode of Found in AI, Cassie breaks down a quiet beta test in Google Search Console that surfaces social channels alongside traditional web metrics. While it may look like a minor reporting update, the change signals a broader shift in how Google defines discovery, influence, and authority in an AI-driven search landscape.
The episode explains why brands can now appear in AI-generated answers without ranking traditionally and why ranking alone is no longer a reliable indicator of visibility. It also connects Google’s evolving measurement approach to how AI answer engines already evaluate content across websites, social platforms, and creators.
In this episode, you’ll learn:
- What the new Google Search Console beta reveals about how search visibility is evolving
- Why surfacing social channels in Search Console is more than a feature update
- How this change aligns Google’s metrics with how AI answer engines work
- Why brands can appear in AI answers without traditional rankings — 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
If you’re trying to understand how AI visibility is being measured—and why traditional SEO metrics no longer tell the full story—this episode breaks down what’s changing and how to respond.
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/
(Transcribed by TurboScribe.ai. Go Unlimited to remove this message.) Search discovery doesn't live in one place anymore, and a December feature test from Google kind of makes that a little harder to ignore. Hi, I'm Cassie Clark, a fractional content strategist and the host of the Found an AI podcast, where I help marketers and founders learn AI search and GEO strategy now, not six months too late. Today is January 1st, 2026. Happy New Year, everyone. But today's news update covers a Google Search Console beta test that kind of slipped through the cracks during the holiday season. Let's dig in. Earlier this month, Google announced a new beta test for Google Search Console. Selected users are now seeing certain channels, like YouTube, and those metrics referenced inside of the platform. On the surface, this sounds like a new feature update, but dig a little deeper, and this is Google quietly redefining what it considers search visible authority. Google Search Console has been a tool built around URLs and domains. If you've been in content marketing or SEO for any amount of time, you have used this tool. I would bet my last dollar on it. Search Console is how Google tells marketers, hey, this is what we consider measurable influence. Google doesn't really add new services to Search Console lightly. So this beta test is something that we need to pay attention to. Historically, it has been very clear about what it measures, tracking things like websites, pages, queries, keywords. It's not keywords. Earlier this month, Google announced a new beta test for Google Search Console. Selected users are now seeing certain social channels, like YouTube, and those metrics referenced inside of the platform. On the surface, this sounds like a new feature update, but in reality, this is Google quietly redefining what it considers search visible authority. The platform has been built around URLs and domains. If you've been in content marketing or SEO for any amount of time, you have used Google Search Console. This platform is kind of how Google tells marketers, hey, this is what we consider measurable influence. Google doesn't always add new services to Search Console lightly. So this beta test is something that we need to pay attention to, especially as we move into creating AI-friendly content strategies. Historically, Google Search Console has been very clear about what it measures. Tracking things like websites, pages, queries, and clicks. But by adding social channels into the platform, Google is effectively saying, hey, content influence doesn't live on websites anymore. That's a meaningful shift. But the underlying implications for search might be lost in the weeds just this fidget. Because this is a core infrastructure, acknowledging quietly that discovery now happens across ecosystems, not just those websites. So when social channels show up there, it means three things. First, social content contributes to discovery. We know that. It's why TikTok is a search platform, not so much a social media. Two, social content contributes to visibility. Again, yes. And three, social content contributes to perceived authority. And this all aligns very closely with how AI systems already behave in pick sources. AI engines don't care whether insight originated on a blog post, or a LinkedIn post, or a YouTube transcript, or even a Reddit thread. You can prompt perplexity in Gemini now and see citations from YouTube and LinkedIn right within those answers. What matters most for answer engines is signals. Now, Google is formalizing that reality with this beta test. I want to slow down here a little, because this update maps perfectly to the FSA framework. Let's break it down and start with F, freshness. Social media moves fast. It reflects emerging concepts, real-time reactions to news or product updates, and it also reflects current language, like 6.7.1. Is anyone else tired of hearing that? Fresh insight lives in motion and across channels. This has always been the case, but by adding those insights from social platforms into Google Search Console, this is Google effectively acknowledging that freshness is no longer confined to blog publish dates. Then we have structure. Social content that performs well isn't random. There are a million and one gurus offering social media templates, and there's a reason for that. Repeatable formats with clear topical focus from recognized entities perform well, and it's like catnip for AI engines. So when Google tracks social channels, it's not tracking those vibes. It is tracking structured patterns of engagement and relevance. This mirrors how AI models learn, and it gives brands and marketers an inside look at where to place their content efforts. Finally, we have authority, the A of the FSA framework. This is a big one. As we've learned through testing how AI engines surface brands, authority is no longer just backlinks pointing to a domain. Is that helpful? Yes, but it's no longer the whole story. Authority boils down to who consistently explains a topic, who gets referenced, and ultimately who shapes the conversation. So by pulling social channels into Search Console, Google is acknowledging that authority is distributed across channels. And that's exactly how getting your brand cited inside AI engines works. You have to create a comprehensive strategy that includes showing up on the platforms and channels that actually matter. So if you've ever wondered why a brand shows up inside AI engines but doesn't rank especially well in traditional search, or why a founder gets cited inside of the company, or why a single post seems to influence an answer more than a long, well-optimized blog post, well, this beta test subtly explains why that's happening. AI systems already operate on the assumption that influence is cross-channel. So they're not out there separating website content from social content in the way that marketers historically have. They're just out there looking for signals. And now, Google is aligning its measurement systems with that same reality. So here's kind of a high-level overview of why that matters. If your expertise only lives on the website, you are missing signals. Or if your authority only exists in low-form content, well, you're underrepresented. And if your insights aren't reinforced across platforms, AI systems have less confidence in you. What this Google search update beta test, it's not an update, it's just test for now, does is kind of, it makes that all visible. So from my view, it gives us confirmation that the systems evaluating discovery and influence are no longer thinking in silos. They're looking at who shows up consistently, who explains things clearly, and who reinforces their expertise across multiple surfaces. Which is why social content can outrank blogs and AI answers. And why visibility inside AI systems can feel a little disconnected from traditional rankings. Search Console now reflects that with this feature test, which will probably be a real thing for everyone pretty soon. And it gives us a clearer view into the same signals AI systems already rely on. So the takeaway is pretty straightforward. Authority now holds up across surfaces. That means fresh insight has to show up where conversations are actually happening. Your structure needs to be recognizable, repeatable, and tied to clear topics. And authority has to be reinforced by consistent explanation. When done right, those signals build on each other over time. And with this feature test, we have confirmation that Google is actively tracking the same patterns that influence visibility inside AI answers. So although this is a limited to a beta test, it does point to a broader alignment in how discovery is measured. And those changes usually stick. Just give it time. That's it for this news update. If you're looking for more resources on AI search, head over to cassieclarkmarking.com or email me directly as you start thinking about your strategy for 2026. I'll see you in the next episode.