Name: Masterclass N3: Video discoverability in 2026. Ranking in Google, ChatGPT & beyond.
Uploaded: 2026-01-28T16:01:09.756Z
Duration: 46 min 44 s
Description: Masterclass N3: Video discoverability in 2026. Ranking in Google, ChatGPT & beyond.

Transcript for "Masterclass N3: Video discoverability in 2026. Ranking in Google, ChatGPT & beyond.": Hello, everyone, and welcome to today's master class about video discoverability in 2026. My name is Anna Aria. I'm from the marketing team here at Veed. And with me today, I have our lovely SEO lead, Georgie, and Nick, who is head of growth marketing at ProFound. Thank you so much for joining us today. If you have any questions, any comments yeah. I love it that people have started adding their comments in the chat saying where they are coming from. Keep that going. We want to hear from you what kind of videos you are creating, where you're coming from. If you have any questions, let us know in the chat or in the q and a tab. We will have q and a at the end. And a little housekeeping. Yes. This is being recorded, and you will get the recording afterwards. With this said, I am going to leave the stage and give it to you, Georgie. Awesome. Hey, everyone. I can see so many people from across the world. So, yeah, good morning, and good afternoon to everyone. I'm going to share my screen for today. One sec. Awesome. Can everyone see that all okay? All good. Awesome. Cool. So, yeah, thanks thanks a lot, everyone, so much for joining. Really appreciate it, and welcome to Eve's final New Year masterclass. I've got a really, really amazing partner on this amazing call today, which I'll introduce you to shortly. But today, we're gonna talk all around video discoverability in 2026, which is a very hot topic, so we're excited that you're here to join us. Quick agenda for today as well. So a couple of, key aspects that we're going to go through. I'm gonna kick off from why video is a important part of your LLM and AI search strategy as we continue to grow. Nick will also be running through some really exciting fresh, hot off the press, I believe, last week, profound video research. This is very, very exciting. And I'll then go through a couple of the video example breakdowns and some key aspects that you can apply to your overall video strategy. We'll then have a quick look in terms of how you can actually measure impact with some of these great things that we're gonna be discussing today, and then leaving a really good chunk of the section for overall q and a. Some people say that they can't hear. Let me know if that isn't all sorted or not and if you still have these issues. But I think Anna, Ariel, will hopefully be able to sort that out. So if that problem continues, just just let you know. Cool. Thank you for, yeah, thank you for running through that. Cool. Thanks, Dean. So a couple of intros around who who are we. So hello. I'm Georgie Kemp. I'm the SEO lead at Feed, heading up an amazing team. I've got ten years in the industry, and I've worked across a range of different startups, scale ups, as well as leading a global organic brand strategy for the company Bumble Inc. But for those who haven't heard of Veed, hopefully, you have. But if you haven't, Veed is an AI video creation platform that combines both the generation and editing into a one single workflow. So you can go from just a a single idea to a professional looking video all in one amazing tool. So whether that's just a AI talking head, such as a recording of this, you can add specific subtitles, dub that, add translations, and and editing all in one platform. So Veed removes the need for that editing expertise or different tool stacking all in one. And as we're a video based company, we're lucky that we're slightly ahead of the game. So we have some really interesting insights around how do we actually go to optimize for LLMs and also across traditional search. So excited to share that a little bit later. And now I'll I'll hand over to our wonderful guest, Nick, to introduce himself. Brandy, yes. Yeah. So we're just going to yeah. We're gonna be discussing geo, AI search, AEO. I know they're all very similar terms, so we might be throwing a couple of them around. But Nick, our expert, will be, discussing through that. So over to you, Nick, for a quick intro. Yes. Hey, everyone. Thank you so much, Georgie, for having me. Thanks for the the intro. I'm Nick. I run growth marketing at ProFound. ProFound is the marketing platform for the era of AI, and we help brands understand, control, and scale how they appear in AI search. We work with companies like Figma, Ramp, MongoDB, Chime, US Bank to give marketers tools to win the zero click Internet. And we have tons of data. We send millions of prompts. We understand how ChatGPT talks about lots of brands or Gemini or Perplexity, and we're excited to share that data with you today in the context of YouTube and also just broadly some tips and tricks to help with AI visibility, AEO, GEO, whatever you want to call it. Amazing. Thank you, Nick. So just before we go into some of Nick's super exciting data, I think just wanted to open the stage and say that video isn't just for views engagement anymore. It's definitely been a huge part of these growth strategy to date. But I'm here to say that video now plays part of a strategic channel to help get you listed where your audience is increasingly searching, which is, of course, LLM's very much a hot topic. I'm sure a lot of your c suite or anyone else in your business are talking about it. But part of this research that Nick's gonna be sharing today shares some really interesting insights in that way. Awesome. So I think that just want to be very clear as well. So there is this strategic shift that's happening now. The old way in terms of creating video, you put something out, you hope it gets views, maybe some traffic, the overall goal, your eyeballs, metric can definitely be from a a view count perspective. Platform. You're definitely relying on the overall YouTube algorithm and hoping and praying that they, help help show up in overall, the YouTube results. And then the new way from what from what we're seeing right now is creating video means that you are able to get your brand listed, cited, wherever people are searching specifically across these AI tools. So this isn't just about any, like, vanity metrics. It's about being the answer when someone asks in ChatGPT or Gemini about your category. At Veed, we're we're we're closely monitoring this and excited to share more on this a little bit later. So new mindset video for LLM answers, goal, Graham mentions in I in AI search results, and overall metrics, LLM appearances across a range of different platforms, ChatGPT, Gemini, also across different social platforms as well. So the new mindset, securing presence where search is happening, and having some citation driven visibility as well. Cool. So why does video work specifically for LLMs? So first of all, LLMs are prioritizing video content. A little sneak peek from Nick's research where he'll be going into, YouTube is currently the number one cited domain in Gemini, which is absolutely huge and something that we're gonna dig into a lot deeper. Part of this is my potential assumption, but I'll let Nat go into it. It's definitely, YouTube, being owned by Google as a whole. I think that this is incredibly interesting. Secondly, why does video work for LLMs? One video that you produce can have multiple different citations and visibility opportunities. So previously, in optimizing for the overall YouTube algorithm, but over time, we've seen the value of video as a really great driver of your overall brand visibility. So over time, YouTube is starting to be pulled in through in traditional search results. And now as of today, we are starting to see video being as a really great answer to a lot of people's questions across LLMs. So whether that be ChatGPT, Perplexity, Gemini, Claude, Google AI overviews, we see this as a really great opportunity from that perspective. And then thirdly, the long term opportunity, especially for brands. So you can use different tools, whether that is prompt visibility opportunity, prompt visibility platforms, traditional keyword research. You can really get to understand your customer and really be able to answer those specific queries, via a video format. So you don't necessarily need virality. You just need that relevance with your target audience. And then I think this is a really interesting study that's come from the folks at SimilarWeb at the start of this year. Really, really, really exciting way to to start the year. The market share overall in terms of LLMs is definitely starting to shift. So at the this is something that we've been reviewing for around, like, six months plus or so, and we're really starting to see the shift. Like, usually, we were definitely relying from ChatGPT from a lot of our overall traffic visibility, but the overall landscape is shifting in terms of the traffic market share. I'll add the the further study into the chat, shortly so you can have a a deeper read. There are some really interesting shifts that are currently happening. So before Nick dives into his research, just wanted to point out that the landscape is definitely evolving. And from this January research, ChatGPT is still definitely dominating the overall traffic share as a whole. So ChatGPT is OpenAI, so there's a blue blue bar here. And Gemini is Google, so this red line here. So this is basically showing over, I believe, a twelve week period or so. ChatGPT still definitely dominates overall traffic, but Gemini is now at had a 49% growth just over the past few months, while ChatGPT is declining around 22%. So this is all well and good. Lots of things are shifting specifically in the AI space. But what does this actually mean for brands? It means that you can't just optimize for one. ChatGPT has the users today. Gemini is where the growth is happening. That's all very exciting. But the critical part of Nick's research uncovered is that these two platforms cite videos completely differently. So there's different rules, different strategies, but all something you can do all with just one video with some different tweaks and tactics. So Nick is about to show you exactly how you can do this. So Nick would love to pass over to you to share your slides. Awesome. Thanks, Georgie. Thanks again for for teeing that up so nicely for me. Let me pop on and share my screen. Cool. Okay. And so what I wanna talk about is actionable tips and strategies and tactics that anyone can use to increase their visibility in AI search. Meaning, when someone asks ChatGPT, you know, what's the best x or the best software for a small team who's remote, who needs AI video creation, that your brand is the one that shows up in the answer. And so what we call this is AEO, answer engine optimization, or GEO, generative engine optimization. You'll see it called a couple of different acronyms. You'll also see that it's somewhat similar to SEO, search engine optimization, which is optimizing for Google's traditional search of blue links. And, again, at ProFound, what we do is we have tons and tons of data around how brands are visible in AI search. We literally send 10,000,000 prompts a day to all nine, ten major AI search engines, ChatGPT, Gemini, Perplexity, all of the others. And then we record their responses, have this gigantic database of what ChatGPT said when you asked it a question. When when we ask it a question, we send all the prompts ourselves, what pages were cited, and a ton of other insight. And so that's how we're able to to say that we know based on our dataset of hundreds of millions of prompts and billions of citations that YouTube is becoming the number one most cited domain in Google's Gemini. But before we get there, I wanna just kind of level set of kind of how answer engines work. And so when you ask ChatGPT a question, it goes out, and it actually searches Google. A lot of people don't know this, but ChatGPT does a web search. When you initiate a prompt, it'll go out and do multiple Google searches and pull back some information. It'll pull back the URL of the page, the title of the page, description, and a snippet of the top 10 results for a couple of different keywords that it searches. And so when ChatGPT cites a page or goes and looks at your website, it doesn't look at the whole thing. It just looks at these snippets, the URL, the title, the description, and a short summary. And so that's kind of the surface area if you're optimizing your website for LLMs. Your URL really markets the page to the AI, and so having a descriptive clear URL, like sustainable brands, most ethical and sustainable clothing brands, really does help AI understand what your page is about. So avoid kind of the URLs in the red on this slide that just don't make sense, random characters, numbers. Name your your pages something that's readable to both humans and AI. Because we found that URLs with natural language in them get almost 12% more citations in AI search. And so there's a real correlation here with naming your URLs something easy to read and you being cited more in AI search, which will hopefully drive more traffic interest visibility to the company, the brand that you're at. And so URLs that are also similar to the query, meaning if they're similar to the prompt itself, may also get up to 5% more citations as well. So there's a common thread here of having URLs that match the prompt or the question that people have and type into ChatGPT and URLs that are just human readable in the first place. And, again, answer engines only read about a 100 character snippet from each page. So when ChatGPT goes out, it pulls back a listing of websites from Google. It reads a short summary of all of them. It's not reading the whole page. It would be way too expensive for OpenAI to pay for all of that compute to analyze tons and tons of text, and so it does it in short snippets. And so what that means is that you have to optimize for those short snippets. And so in this case, the question is, what are the average rent prices in San Francisco? The answer in your content, you should say, you know, the median rent in San Francisco is $3,000 for a studio for a one bedroom, 2,000 for a studio. Like, specific short snippets in your answer will help you get cited in AI search more. The title of your page also adds a lot of signal, and so this is also a helpful thing to look at when you're optimizing the content on your page. If you know what a meta description is, you can spoil your content in it. So if your content is, you know, the best business credit cards in 2026, then your meta description should be the best business credit cards include the Inc. Business, the VentureX. Like, give the AI the answer in your description and really in as many short snippets on your page as possible. You might know that some AI engines can't read JavaScript. Now this is actually quite relevant to YouTube and video content in AI search. And so ChatGPT cannot read JavaScript. Meaning, if you have content embedded in JavaScript on your page or content behind a web form or you embed a YouTube video on your site, that YouTube video is embedded via JavaScript. Guess what? ChatGPT can't see it. Perplexity can't see it. Claude can't see it. Gemini can't see it, and Copilot also can see it. The reason for that is Google and Microsoft just have more advanced crawlers from their time in traditional search. ChatGPT, etcetera, Perplexity. They're not there yet. Answer engines also prefer recent content. Funny showing the slide. It's no longer 2025. Having twenty twenty six in your title on your page can help you be cited more, and that's also true for YouTube as well. Same here. And freshness, meaning if your content is has been created or meaningfully updated less than thirteen weeks ago, you have a 50% more chance to be cited in AI search. So if you have a page that's two years old, you know, the ultimate guide to x 2023, it's it's time. It's time to update that content. And so all of that was more for websites. Now I wanna talk about YouTube and YouTube research specifically. So we looked at a bunch of data from December to January, and we looked at what YouTube videos were cited in ChatGPT versus Gemini. And then we looked at the difference in in views. And so Gemini sites way more videos that have less than a thousand views compared to ChatGPT. Whereas on the flip side, ChatGPT cites more videos with greater than a 100,000 views. And so how I interpret this is ChatGPT is using view count as a signal for how authoritative, how relevant is this video for the question you're asking it. Because that's all the data it has access to. OpenAI doesn't have access to YouTube, all the back end analytics, view counts sorry. Not view counts. Engagement metrics, how long people watch a video, all those rich signals that Google has, ChatGPT doesn't have. So it has to over index on view counts when it's trying to understand, hey. How closely does this video match the prompt or the question someone's asking chat GPT? And so on the flip side, Google has all of their data. They own YouTube, And so they can much more closely match your question in Gemini to a YouTube video that maybe better represents some content that answers your question. And they can pull do that across their entire corpus of videos even if it means pulling a video with less than a thousand views. And so, again, I interpret this as the long tail opportunity for video is greater in Gemini. Like, meaning, Gemini will cite a total a much larger amount of YouTube videos in total versus ChatGPT limits itself to videos that have more views on average, which kind of, like, shrinks the TAM. It shrinks the opportunity of videos that could possibly be cited by its model. Okay. So best practices for YouTube, AEO, GEO, whatever you wanna call it. Again, much like on the web for video, fresh content wins, especially if you have the year in the title. So over half of citations go to videos published in the last year, and so it might be time to create and publish more videos if yours are out of date by one to two years. 80% of citations come from videos published since 2023. And so this, again, really kind of hammers home the point that freshness, new content gets cited often. So if you have YouTube videos, again, older than a few years, it's time to create new ones. And putting the year in the video title also helps you get cited in AI search. And then, also, high engagement doesn't doesn't necessarily mean you get cited more. And so like I said, you know, Gemini can cite videos with less than a thousand views, and so view count isn't, like, this high correlation with citations. Next, what content to make. From our data, what we see works the best is how to content, best, you know, best x, top x, you know, ranking the best men's razors or software or women's running shoes, those tend to work very well. Any YouTube video that has a question in it, this works because what do you type in the chat GPT? You ask it a question. So if it or Gemini. And so if your video is question based, then there's a high likelihood that you're kind of, like, matching the intent that the person is asking a question about ChatGPT guides and reviews also get cited a lot, and then any head to head comparison content also gets cited a lot. And then, I guess, lastly, the final tip I'll give y'all is that 80% of YouTube videos are from independent creators, and only 20% are from official brand channel content. And I have, like I have two takes on this. One one is that independent creators are just better at making interesting, unique YouTube videos. Most brands are just not good at it. There's also way more creators than brands on YouTube. And so, like, the total sample size of creators is larger. So because there's more creators, there's probably a higher likelihood that those videos will get cited more is because the amount of them is higher. And then lastly, this is the most interesting thing for brands and companies is that most branded YouTube channels are not great. I think the bar is is actually quite low for you to make interesting good video content as a brand. And so this is the year. YouTube gets cited very often in AI search. Again, number one most cited domain in Google Gemini versus YouTube is the ninetieth most cited domain in ChatGPT. And so there's still opportunity there, and now is the year to be able to go and optimize for YouTube discoverability in AI search. Very exciting. And thank you so, so much, Nick, for taking us through that. I think, like, I I myself haven't seen any in-depth research around, like, YouTube specific and LM citations. So I think, like, for me, this is incredibly exciting. So thank you so much for sharing and excited to dig into this data a little bit further and see how we can apply it, across our strategies as well. So really appreciate that. And let me reshare my screen. Awesome. Hopefully, everyone can see that as well. Cool. So Nick just showed through the why, so why different LLMs are acquiring different strategies right now for video. But I'm now gonna show you what what the what looks like and how you can actually do it. I realized some of this may be slightly small, so we'll share through the slides afterwards so you can see that, dig into certain links as well after that. So as I said earlier, we're a video based company. Our account started on YouTube in 2018, so we're super proud to have over one k videos, 47,000,000 views, and we have, an incredible creative team that helps us create some of these awesome videos as well. So because of that, thought it would be best place to show a couple of examples. So first of all, I think, again, just setting the scene and also very similar sentiment from what Nick was saying that LLMs read and they don't watch. So what we're seeing right now is that video and audio ingestion ingestion is actually quite costly for AI. So they're currently citing through text. So that's the transcriptions, description, title. So if you don't have a transcript, you could potentially be invisible to to LLMs as a whole. So try to pull through, like, an overall example. Again, I know that this is quite small, but I'll point out the the different areas, and, hopefully, I can also make this a little bit bigger. So this on the left is a real video from Veed. I'll pop together. I'll just send the you know, in chat as well if anyone wants to have a look. But, yeah, this is a a real a real video from Veed's YouTube channel. Business goal definitely to get cited across LLMs, which I hope help to drive overall traffic from LLMs, so large language models, so the Gemini, ChatGeeBT, but also trying to drive, overall subscriptions from it. So I wanted to break down, like, why exactly this made this specific video site site worthy based on Nick's specific research. So, yeah, I think just a a quick question in the chat as I run through this. Has anyone as I've been tracking some of the, overall LLM citations, have you seen any of YouTube videos as a whole being pulled through into search? It would be awesome to hear that if so. So, yeah, just comment yes, no, not sure. If you're not sure, Nick can show you how to find that out a little bit later as well. But we have been seeing in traditional search for some time that video is a great way to answer specific questions. But in order to show through, like, what we're doing at Veed So a quick visual in terms of the thumbnail, we make sure that it is super clear, very much in line with what other competitors are doing in the space. But this is a video that's all about the best AI lip sync tools for 2026. We had a a really big launch at Veed last year within one of, arguably, I'll be a bit biased, but the best AI lip sync tool out there. And we pulled through this this awesome video. So we've got the the clear thumbnail, the clear description so users can clearly see, like, what this is all about. We've got the title. It's very, very clear. From what Nick says, we've got 2026. So we created this late twenty twenty five, so we updated it, so it's super fresh. We've also got that best format as well. And the views, so citable for Gemini. We've got the date, so we've got that also that freshness element. Description, I think someone in the in the chat, mentioned around that description, and as Nick said, the first a 100 characters, that can help to be that snippet for TatchiBT, for Gemini. So if someone is searching what's the best AI lip sync tool for 2026, let's say, for marketers, we've clearly outlined it there in the description. We've also got diff different tags. So also, like, from a hashtag perspective, that's, like, topical authority signals. And I've also pulled that through into specific chapters as well. So LLMs are able to fully understand everything that's in that specific video, what those core chapters are, how that's broken into. And so that's all pulled through and also the the transcript from there. So what does that anatomy look like? So I pulled it in together from all of this, like, table based format as well. So I'm gonna walk through each element here. Again, we'll send you the slides afterwards as well so you can take screenshots, etcetera. So we've got the title based element example there. So something which is quite long tail, as Nick mentioned. It's also very relevant to what these ICP is. We've got that nice formula of the the year, the best format that's under thirteen weeks old as well, and then the impact in terms of recency ranking signals. The URL, so this is where we've been hosting it. So we, any video that we create, we could then put it on our blog. That's also a great way to repurpose this amazing type of content and make it stretch out a little bit further. And that also helps to have the overall semantic clarity. So LLMs and Google fully understand that, yes, we're an authority in the AI lip sync space. Descriptions earlier. So the first a 100 characters should really summarize, what the video is about, and that really helps LLMs with the overall snippet side of things as well. Transcription, again, just making sure that it's complete, accurate, structured. You can use AI generated tools to pull it through. Just make sure you give it a skim read that everything is correct because that's probably one of the the best ways to help large language models really understand what your content is about. Chapters, as I mentioned, but also there's, like, promotional based element. I've seen some people in the chat speak around. Can you cross promote it on other platforms? So that's also a great way to make this content stretch even further. Posting it out on socials, posting out on community based platforms, sharing it internally really helps to get that overall social proof, but also helps to get that hit view threshold. I see there's a question in the chat in terms of will I cover YouTube shorts today? We don't have time today, but I'm gonna, add a follow-up section in the deck as well so you'll be able to see the different versions between a a longer form and a shorter form and how that also differs as well, Megan, so you'll be able to see that. Cool. So dual strategy execution and what this means. So I'm not saying create two videos. What I'm saying is that you can optimize one video for both of these different strategies exactly from what Nick was saying. So a couple of elements and how that changes. The result of that video so far, it's been up for a couple of months. We're over around three k views. So according to Nick's research, it could be citable for Gemini, and we're helping to build up towards that Chatty Beauty threshold, which is great. And what we did, again, structured transcripts within those sections, descriptive characters, time stamps, and it's very answer focused contents with those specific chapters. We've got those core themes around what people are asking about the topic. And then in terms of optimizing for chat GBT, so that social proofing, cross post across blogs, landing pages, Reddit, different socials, and encouraging engagement internally as well if you've got that base within within your team. Awesome. Final slide from me, 20 optimization guide. So, again, we'll send this through afterwards. I wanted to have a really clear takeaway around what that workflow could look like. So let's say you have some videos lying around right now or you have some in the pipeline. This could be a really great phased process around how you could use traditional based research platforms, but also LLM tracking platforms to really understand and create a high impact craftful video to help your brand be even more visible in search, which is great. This is all well and good, but the age old question, like, how do you actually go about measuring overall impact? What I'm gonna do is pass back over to Nick to show in ProFound how they do it to hopefully give you some clarity around, okay, once that video goes out, what could that look like so you can hopefully be able to see in LLMs that video being pulled through? Awesome. Let me and I'll I'll be quick too. Cool. Okay. This is a quick overview of the ProFound platform. We're looking at a demo instance for New Balance. And, again, how ProFound works is we send questions to LLMs, and then we monitor and record all of the different responses. And so here, we've organized them into topics. And so maybe this one of help me find wide width sneakers for my toddler. This is a prompt that we sent to all of these different platforms, to IGBT, Perplexity, Google AI mode, overviews, Gemini. And then down here, we can see the actual prompt response, the date. This one was sent to Meta AI. And so here's the response. And this one this one, New Balance was mentioned kind of fourth in this list, and then we can see what pages were cited when Meta AI generated that response. And so those citations are what we track and how we kind of helped told that data story in those slides I covered a few minutes ago. And so for New Balance, this demo account that we're tracking, here are the most cited domains for these prompts that we're tracking. The first one is a blog, runrepeat.com. The second most cited domain for these prompts is Reddit. Reddit is cited often in AI search. And then the third most cited domain for New Balance prompts that we've been tracking is YouTube, then followed by newbalance.com themselves. And so they're not even in the top three. They're actually quite quite a fit quite a bit far down compared to Reddit and YouTube. And only 2% of domains that were cited in AI search for for these prompts were from the newbalance.com domain versus 4% of all domains that were cited were from YouTube. And so in ProFound, you can go and look at all of these different metrics and see how often different domains were cited, Amazon, Nike, etcetera. And then you can go look at individual pages. And so here, you can type in YouTube, and there's 904 YouTube videos that have been cited across all of the prompts that we're tracking for New Balance. And you can go in here and click and see what what these videos look like, how often they've been cited, and they're all ordered by citation share. And so this is just one way that you can go and look at it. And you'll see here someone was asking about YouTube shorts. The second most side cited YouTube video for New Balance is actually a YouTube short, and so those do get pulled through into AI search as well. I know we we wanna do a q and a, and so I'll probably stop there, but happy to answer more questions about about how all of this works. Awesome. Thank you so, so much, Nick, for that as well. And, yeah, we've we've got a q and a. So I think just from from my side, like, you're not creating separate videos, separate platforms right now. Think as SEOs or general marketers, I think we have too much on our plate anyway. But when you're optimizing for that LLM visibility, like, for both strategies that Nick showed, you can sim simultaneously strengthen across not just LLMs, but across socials as well. So we'll follow-up with certain guides so you can have that full, action layer to add on top of it. So this is the way that the the strategic shift is definitely shifting, and we're seeing video as a really big bet to get listed where such is heading, which is specifically across LLMs. So we'd love for people to add any more questions into the q and a, and I think Anna Aria is gonna help to, divvy out who should have certain questions with the remaining time we have. Sure. When Nick was doing the demo of ProFound, we got a question about well, it says, can you see when your brand is in the answer versus being a cited source? Yes. The answer is yes. If you have a ProFound account and you've configured prompts that you want to track, you can there's different pages that show when your brand is in the response versus when your brand is cited, and it's very clear what is what. Thank you. There is a question that you can maybe take turns answering if you want. Do you recommend posting videos on YouTube and cross posting to to other social channels and websites? Yeah. Georgie? I mean, happy to pick this one up. I mean, absolutely. I think just one video in itself is is gold, and you can have that into different snippets. So let's say you take the chapters, for example, of a longer form video. That could be seven, ten extra videos. So you could split them into different shorts or different hot takes, and definitely recommend cross posting that as much as possible, to make sure they are an authority within that specific space. So that's exactly what what we do at Veed. So that's what I'd recommend and keen to hear any feedback if you start to do that as well. Yeah. Nick is nodding. I take he agrees. For a video to be trackable, should its transcripts be attached to the platform or social network where it is uploaded? Otherwise, how do AI platforms identify such content? Yeah. I think I think I I can take that one. To my knowledge, YouTube makes a transcript for almost every video automatically. And so I think if you're uploading to YouTube, you're good there. I think if you're embedding a YouTube video on your website, like I said earlier, most AI search engines can't view the video embedded on your page. So what we're doing at ProFound is that we will take the transcript and upload it directly into the page content that the video is on. And so we kind of, like we show the video for humans, and then we add the transcript as text on the page for AI. And that's kind of, like, how we do both of those. Yeah. And you can basically create it automatically with one click, create the transcript of your video through Veed and and, yeah, use it on YouTube. There is an interesting question that says, how should brand owned channel approach creating best whatever in 2026 type of content? Yeah. That's that's a good question. I think you have to lean in and do it because my take is that if you're not doing it, one of your competitors will do it. And you have to get comfortable naming competitor options, brands. Like, your buyers know your competitors exist, but companies delude themselves into thinking that, like, oh, we can't mention anybody else that we we compete with. And so I think you do. I think you lean in with authenticity and say, here's where we're better. Here's where we win. Here's our POV on our market, our product, why we think our sourcing is better or software or whatever it is you're selling. And so I think you have to lean in because if you don't, somebody else will. Yeah. And I think just to echo Nick there, like, exactly the same. Unfortunately, like, we wish that we were the best at absolutely everything out there, but you're not at the end of the day. And we're definitely seeing that and being authentic and actually coming to the room and actually, oh, we actually fall short on that, but that's not where we want to be putting enough of our energy. So, yeah, I think that it is an interesting space that we're seeing lots of listicles come out. But I think if you are authentic about your strengths and your development areas and where your competitors do shine versus you, then I think that you can put your authentic self forward. Thank you both. There there is a question that I think arise when Nick was saying that Chateappati is looking at views. So someone is asking, if views is sole metric, then advertising supported videos will be the precedent. Is that correct? I don't I don't know if I would say they would be the precedent, but advertising does increase the amount of views that you get on YouTube. And so I think it's an area to experiment with. If you add some advertising dollars to a video to give it more views and then monitor your citations afterwards. I think that's an ex an interesting test to run. I wouldn't go spend thousands or tens of thousands of dollars on this, but I would experiment and see. Great. There is a more technical question. Logan is saying, I'm a software developer working on my company's external websites. Do you have any tips for what I can add to the code of these websites to improve SEO and LLM visibility? Maybe I'll. take the happy. ten seconds. Yeah. Yeah. Yeah. Yeah. You. you go, Nick, and I'll follow-up. I think my quick answer is ensure the website is as fast as possible. Ensure your website is discoverable by LLMs. If you use something like Cloudflare to host your website, they actually block AI bot traffic by default now. And so, like, those are the two things of speed and can AI bots look at your website at all, like, first two things I would look at. Yeah. And I I'd just add, like, going back to the traditional SEO basics, like, make sure you have a semantic, HTML. So you've got your h ones, h twos, h threes, and also, like, you've got schema markup across, let's say, your video object, FAQs. I think I'll just run through a checklist of what Nick said, what I said. And then if you get to a point where that's all fixed, then I think you can move on to different aspects which are potentially more advanced. But to be honest, as long as your technical foundations are all good, then that's what you need to be worrying about. Thank you. We have tons of questions, but I think we should stop here because I know Nick has another webinar to go to. So thank you so much, guys. This was, I hope, very helpful for our audience, and thank you thanking our audience for all the great questions and engagement. And, yeah, see you next time. Thanks, everyone.