Bing's Visual Search Overhaul, Google's "Highly Cited" Badge, and Ask YouTube — What They Mean for AI Visibility

📬 You like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

Three AI search updates this week — and the one that got the least coverage might matter most for your content strategy.

In this episode:

• Bing's redesigned image search groups results into AI-labeled categories — and why your alt text and image context just got more important
• Google's new "Highly Cited" badge makes source authority visible to everyday users — not just AI engines
• Ask YouTube brings conversational search to video, and why your content now needs to be queryable, not just watchable

The throughline: AI search is shifting from returning results to attributing answers. Being the source is the strategy.

Resources mentioned:

• Bing's new image search experience
• Google's new ways to find your favorite sources and original content in AI Search
• 100 things Google announced at I/O (Ask YouTube is at the very bottom)

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

Transcript

SPEAKER_00 0:00

Hey, welcome back to Found in AI. I'm Cassie Clark, a fractional content strategist and an AI search optimization expert and the host of the show where we talk about AI search optimization, GEO, and AEO strategies, and what all of this means so we don't get lost in this new wave of user search behavior. Today is Thursday, May 28th. I've got three things happening at AI Search this week that are worth your attention. Two of them got coverage, one of them did not, and I'd argue that the one that did not is the most interesting of the three. Let's get into it. So this week Bing launched a redesign image search experience. Instead of the usual wall of unrelated images you scroll through until you just eventually give up, the new version uses AI to group results into labeled categories with short summaries explaining what each group is. So if you search something like highest mountains in Washington, instead of getting 400 photos dumped on you, you'd see sections like summit photos, topographic maps, hiking trail views, each of them with a label and a brief description. So with each of these stories today, I'm going to be asking the question, why do we care? So, why do we care about this? Well, on the surface, this does feel like a user interface tweak. But think about what's actually happening. Bing is training users to expect structured, contextual, visual results instead of raw grids. That's a meaningful shift in how people think about what search is supposed to do. For content people and SEOs, I think this is a signal worth watching. If image content starts getting grouped and summarized by AI, the metadata, alt text, and surrounding context that you give your images becomes that much more important. The AI has to understand what your image is and what category it belongs to before it can surface it in a structured way. Now, I get it, this is not new advice, but it does come with a new urgency. Right now, this is all opt-in. There's a new version toggle on Bing Images, and it's US only for now, but Bing tends to roll things out here before they implement how other platforms think about Visual Search, and I think this is worth paying attention to. This would not be a news update if we didn't have something Google related to talk about. Google pushed out a cluster of updates this week around surfacing original trustworthy content inside AI overviews and AI mode. There are three things that we need to talk about in this update. First, preferred sources. This is a feature where you can tell Google which sites you actually want to see, and it's now being pulled into AI responses directly. So if you select a source, it'll be labeled inside the AI generated answer, not just in those traditional results. Second, there's a new highly cited badge rolling out on these search results. This label marks articles that other sites have referenced as a source. It's basically a signal that says, hey, this piece of content is the origin story that these other sites are referencing. Then third, Google is adding article carousels that surface firsthand perspectives from forums and social media alongside the AI overview rather than just pointing you to the traditional news. So a question, why do we care? Well, this is Google publicly acknowledging something the AI search community has been saying for a while. Being cited matters more than being ranked. The highly cited badge is essentially a visible user-facing reflection of what AI engines are already doing under the hood. And that's just rewarding content that other authoritative sources reference. So if you're producing original research, original reporting, or first-stake analysis on anything in your industry, this is kind of the moment to start treating that as a core content strategy, not so much as a nice to have, but like you need this thing now. Being the source that gets cited by other pieces is now a signal that Google is surfacing explicitly to their users. And the preferred sources integration into AI mode is interesting, I think, very interesting for brand trust reasons. Your audience adds you to their preferred sources, which essentially requires them to actively seek you out, you get labeled inside the AR response. That's earned placement. It's not really something that you can optimize your way into. You have to be good enough that someone deliberately says, Hey, I like this and I want to see more of it. Okay, final story. This one came out of Google I.O. a week ago and it kind of got buried under the Gemini search mode announcements. It's ask YouTube. Here's what it is. Instead of typing keywords into a YouTube search and just hoping for the best and then having the mountain of videos to sort through, you can now have a conversation with YouTube. Yep. Mm-hmm. They're bringing that conversational element straight over to YouTube. You can ask a complex question like, I want tips on teaching my three-year-old to ride a pedal bike, they already know how to balance. And instead of just getting a list of video titles, you get a structured response that pulls from across YouTube's entire catalog, including shorts and long form, and then it surfaces the most relevant results. You can ask follow-up questions, and it remembers the context of the conversation. But there's a detail in this that I think is easy to miss. This does not just recommend videos. It starts the video at the exact timestamp where your question gets answered. We have seen this already in Google search results, but now it's coming to this conversational side inside of YouTube. Right now it's a limited rollout. It's just to premium members 18 and up, US only, and you have to opt in through the YouTube premium experiments page. Broader US rollout is expected this summer. A lot of things are hitting the summer, so now is the time to start thinking about how to show up inside of these things that are changing. But the bigger question here with Ask YouTube, why do we care? Why do we care? Well, because this is a conversational AI search model. This is the same thing that's happened to Google Search over the past two years, but now it's coming to YouTube. And YouTube is the second most visited website on the entire internet with content in basically every topic imaginable. Think about what this means for your video content strategy. Right now, people search YouTube with keywords. They see a thumbnail, a title, maybe a short description. The thumbnail and the hook for the first 30 seconds basically determine absolutely everything about whether your video performs. But with Ask YouTube, the AI is evaluating the content of the video. What question does it actually answer, and at what point in the video does it actually answer it? That changes the game entirely. Keyword subtitles and clickbait thumbnails do not help you if the AI determines your video, doesn't actually deliver on what the user asked. This puts a premium on video content. Videos that are clearly structured, actually useful, and dense with specific information. If you're a brand or creator who uses YouTube as part of your content strategy, your video has to be queryable now, not just watchable. And for AI search visibility more broadly, YouTube content has already been showing up in those Google AI overviews. As ask YouTube matures and gets integrated more deeply into the Google ecosystem, being discoverable inside YouTube's AI layer is gonna matter for your overall AI search footprint. Everything is connected. Everything Google touches is connected. Let's keep that in mind going forward. Okay, quick recap of everything that we just talked about. Bing is restructuring how people experience Visual Search. Google is making source credibility visible to regular users, and YouTube is doing the video what Google did to text search two years ago. The through line across all three of them, AI search is moving from here are the results, good luck, to here is an answer and here's where it comes from. If your job is to produce content, you now have to be the part of where it comes from. That's what's happening this week. If this episode helped you make sense of anything, hit subscribe. And I would absolutely love you forever if you left a review. It does help more marketers and founders find the show. If you're trying to figure out where your brand actually stands in AI Search right now, whether you're showing up, how you're being described, what to fix, that is exactly what an AI Search Visibility Audit is for. Head over to CassieClarkmarketing.com to get started. I'll link to it in the show notes as always. I will see you in the next episode. Until then, stay visible.