Okay. Well, hi, everybody, and welcome. I'm Ellis and I look after the partner marketing here at Magnolia, and I'll be moderating today's session. We'll give it a couple of minutes to let other people join. But those of you that are here, do let us know in the chat where you're tuning in from. It's always good to know where in the world people have come to watch this webinar. So yeah, say hi in the chat. I can already see people joining from the US, Canada, Germany, Switzerland, the UK. Excellent. Well, welcome, everybody. Hey, from Italy, the Netherlands, Norway. Welcome from Berlin. Welcome from Spain. Excellent. Excellent. Well, we've got a great number in already. So yeah, let's get started. So today is episode one of our brand new AI miniseries, AI for digital experience. And today's topic, we'll be talking about scaling global content with agentic AI. We're going to be looking at how AI agents can take the pressure off of content teams, not by replacing the work, but by changing the way they work. So before we get started, I'm just going to run through a few housekeeping. And this session is being recorded. And this session is being recorded. And we will share that with you this week. And you'll also find some additional resources in the docs tab. There's a CMS audit, which offers an eight minute assessment and lets you know how AI ready your CMS is, including a personalised 90 day plan. So that's definitely worth checking out. And we've also got various other resources around SEO versus geo. We've got on demand webinars, we've got a white paper on generative AI in practice, and even a geo checklist as well. So all relevant topics for today's talk. So if and when they make sense, and do do go and check those out. And there's also if you just look above there's a see Magnolia AI in action button, which takes you through to a click through product tour of some of the AI features, and some of the things that we will discuss today as well. So as always, and we'd love to hear questions throughout our webinars. So do ask away in the q&a tab, which is also on your right, the earlier you get them in, the more chance we have of covering them live at the end. So if you've got a question, do ask away. Okay. So without further ado, we like to keep our webinars as interactive as possible. So if you've been to one of these before, you know that we will start off with a poll. And so our question for today is which area of content operations presents the largest bottleneck for your organisation today? So do answer. And while you're voting, I'd like to welcome today's speakers to join me on stage. So Nicole and Jan, come on. Hello. Hello. Welcome. So for our audience, Nicole, could you give us a quick introduction, please, and maybe tell us who you are and what it is you do? Sure. Thanks, Ellis. And thank you for having me. So hi, everybody. My name is Nicole Rogers, and I'm a co-founder at AI1Z. We focus on AI search and digital assistance, and I've also gone live with an AI visibility suite, and we're a partner of Magnolias. Awesome. Welcome, Nicole. And a familiar face to many that will be joining today. But for those of you that don't know, Jan? Yep. So my name is Jan Schulte. I'm a head of consulting, 13 years with Magnolia. And, yep, I'm that guy that is still having the hands on the keys, so still a lot of coding, especially with AI nowadays. And on the other hand, everything around pitching or, like today, a webinar where we're going to discuss everything around content velocity and AI and all those good things. Brilliant. Well, before we dive into topic one, let's take a look at those poll results. If we could share those on screen. Let's see. So what are some of the largest bottlenecks? So manual content creation and ideation is still a big one. Complex multi-channel publishing. Yes, metadata tagging for SEO and GEO. It seems like all of the ones that we predicted seem to be important for today. So, yeah, let's think about those when we dive into the topics. So, OK, let's dive into topic one. So from idea to publish ready content. So the bottleneck for most teams isn't the lack of ideas, it's capacity. You know, even speaking from my experience, there's more content across more channels, across more markets, and it's growing faster than teams can manage. But this is where AI can obviously help us. It can help us create more content, but it's not the whole story. So let's start at the beginning. So, Nicole, before anything gets published, where are teams losing the most time and where do you see perhaps some of the biggest opportunities for efficiency? Yeah, so I see two big opportunities to save time and efficiency. The first is really helping teams decide what content to create or improve. So teams have a lot of ideas out there and they think they should produce this content or this content, but they really are lacking the evidence behind what to prioritize. So what can help with that is actually like if they've installed a search bar or a digital assistant on their website, it actually shows what people are asking. So what are the questions that people are asking? What are the themes? In addition, with AI visibility reports, you can see the prioritized questions and how your content, your website content is answering that. So this will actually guide your content strategy. And then the second is reducing that time between that initial idea and the first draft. So, again, many teams have like a lot of ideas with they even have subject matter expertise. They have the PDFs. They have the spreadsheets. They've gone live with surveys and they have all the research. But how do you turn all of those materials into an actual first usable draft? And so that's where AI agents can really help in terms of content operations. Brilliant. Brilliant. Yeah, those are two very great use cases. And Jan, from maybe more of a technology perspective, where do you see AI actually bringing value? Possibly from even a year ago to today, what does that look like? Yep. A year ago, it feels like an eternity ago. What really happened in this one year, it's completely mind-bending. Maybe quite a few folks recall when we had all those point-to-point actions where you could just, for example, auto-classify images, do the metadata on those kind of things. But everything was still very manual. And what really happened is just a shift to agentic. And I think it's really the biggest shift that I've seen in my full career if it comes to content management. So it really shifts from doing all those things manually to just basically prompt what you need. I need personalized variants. I need, based on this draft that I have here, a full-on page. I want to have geo-optimization and so on. And basically, just by prompting what you need, a lot of those otherwise manual steps are fully automated. And yeah, we just speak about one year. And one year is nothing to see really this crazy productivity gains. It's quite all right. And to be honest, it feels like we are just accelerating at the moment. Yep. Crazy times that we're living in. Very much feel like the start. I mean, even if we run a webinar this time next year, I'm sure we'll be talking about lots of new, exciting things that are possible. But, Nicole, when you're speaking to clients and prospects right now, what's maybe the one thing that they're asking AI to solve for them? So obviously, there's what's possible, but then what are people asking for? I would say that it depends on the team. So internally, it's basically how do you get to an outcome faster? So for content teams, that means how do you speed up the content production process? And then for website visitors, it's all about how do you get a direct answer? And so how do you bring that conversational experience that they're experiencing within ChatGPT and perplexity? And then when you land on the website, you still get that personalized experience. So whether it's getting to a booking faster or buying something or registering, organizations really want to use AI to help them achieve those business outcomes sooner. And they're also realizing that AI goes beyond just answering questions. So when you're connecting securely to other systems like CRMs or an ERP, it can help them complete steps as well as automate things and support more complex tasks. So the opportunity goes beyond just creating content more efficiently. It's also about using AI content and the connected systems to answer those questions and then help people take action. Yeah. And what about you, Jan? Are you seeing the same things at the moment? You know, what are people asking? I know you work a lot with some of the analysts. So what are sort of some of the hot topics? Yep. Basically, as Nicole said, the state of the art really goes into this agent to agent communications that we really have no one agent that already speaks to another agent, for example, asking about the state of geo-optimization based on all those different data points from all sorts of conversations that happen maybe. And then this is really just in the end, one agent just, for example, ask AI to have said, hey, I have the site here. What do you think? What could we have done better? And then it's not even like a pure play technical call. It's just basically an answer that is then just basically reasoned about and you get proposals, what you can do. So again, just in a time span of one year, it's really a massive shift that we see at the moment. Yeah, definitely, definitely. And even just speaking from my perspective. So, you know, I work a lot in Magnolia and I use it for creating content and generating new landing pages. But I still do a lot of work in, say, Google Docs, particularly when it comes to like collaborating. And I know that you've prepared something to show. But, you know, maybe other people that have tuned in today, maybe they also use a lot of, you know, Google Docs, Word Docs to sort of input content and ideas and sort of formulate it there. You know, how does that process look like when bringing it over into the CMS? You know, what does a kind of a smooth workflow look like, if you like? Yep. I mean, classical, the classical style, since CMS systems exist, it's a CMS system. You have the copywriter. You get a Google Doc. You get a Word document, whatever it might be. And then you're going to basically take that content and you're going to create all those components one by one by one. And you just create the overall experience. Also here, this is something that changes as we speak quite a bit because agents are now pretty good on understanding the original copy. And they are also then pretty good on picking the right components and assembling the page for you. So a lot of this manual work cannot be automated. And basically what we have is just basically two ways to do it. We have a dedicated feature, Dr. Page. So you can then basically predetermine what kind of components you absolutely want to see. Especially great for regulated environments. Or what we also have is basically based on Magnolia's AI authoring tools that the agent will just take its pick on its own to create all those components. And as you said, let's have a look at it. Really how it looks in reality. Okay. Let's have a look on what you can do nowadays with modern agents. So what we have here is Magnolia as we all know it and love it. Though if you go here to the pages, we see that we have tons of different brands. Mostly banking related. And yeah, let's use an agent to create a full-on page. So probably nobody is interested in watching me typing. Therefore, I just have here this copy for a web page. I just give here the page name webinar. And I basically tell the agent that I need a full-on page. What's happening now is that the agent reads the instructions. It has a look on all the content. And it starts to decide what kind of components should be used. Okay. So we have here then already the webinar page created. And now basically quite a few sub-agents do their thing. And they create all those components for us. It takes no short while. But here we are. Okay. So it used the tool. It created here our content around hero, texts, notes. And what it's also offering us is because I didn't hold it so. It could also start to add here the images for us. So here it is. We have the full-on page. And yes, please. Select a matching image on your own. And apply it. Here we go. So I basically told it, hey, from the options that it provided us, I want to go with the CTA. So again, now it's just going to have a look on the images. The images that we have available, they're all tagged. And it basically applied it. And here we are. Okay. I think this makes it pretty clear that the power that you can get from an agent is now on a completely different level compared to what we have seen with AI last year. Obviously, I can drive it from here quite a bit by automatically using AI to optimize geo and so on. But I think for now, this should give you a pretty good idea what the state of the art really is. Okay. Okay. Let's have a look on what you're doing. Yeah. Okay. You've got to see it twice because it's so good. That's great. And, Nicole, I know sometimes, obviously, you know, there's a bit of a concern around hallucinations. I know we spoke about this before. You know, what are people kind of doing about that to avoid that? Yeah, a lot of people have talked about hallucinations in the AI world. It's really important to ground your content in or grounds that agent in your content. So, whether it's your website content or whether it's shared documents that you've crafted internally, you want it to use your own content versus the LOM's knowledge, for instance. In that way, it won't hallucinate. You can tell the system prompts. Use only my content according to our, you know, brand guidance and whatnot. And then it will create something that is not making up content based on its knowledge from elsewhere. Brilliant. No, that's great. And thank you for sharing as well, Jan. Okay. Before we move on to the second topic, we've got another poll question for you. How is your team currently utilizing AI in your digital experience workflow? So, yeah, we'd like to hear, you know, your feedback. You know, are you using AI tools yet? Are you using it for basic copy generation? Maybe automating some things? Do let us know. And we'll also keep some of that in mind for our topic, too, which is adapting and optimizing content globally. So, once you've had the idea, you've got the content, you've published it, the next challenge is making it work on a global scale. You know, many of you that have tuned in today probably work in multiple different markets in different languages. And historically, this has always been quite a challenging area with translations. We're trying to keep branding consistent with controlling some of the expenses because it used to not be a cheap process. But today, it's not just about language. You know, content needs to adapt to different channels and markets. But now it needs to be understood by AI search as well. So, you know, how do you sort of navigate that whole process? So, Nicole, global content is traditionally meant sort of separate teams and agencies for each region. And, you know, why does that start to break when you start to scale? Yeah, it breaks down because every single region will add more handoffs, review processes, additional agency relationships. And so, when you don't have that shared workflow together, it can lead to a greater variation in the messaging as well as the brand consistency. This actually took place when I was working at WeWork. We had the Northam team, the EMEA team, the APAC team, as many organizations do. And they all use different agencies. So, that local expertise is definitely valuable. But then the brand started looking different across the regions. And so, this is where you can actually take an AI where it has all of your brand guidance. It has your terminology. It has your approved messaging. It has the look and feel. And this can help with the production of content and of campaigns. So, you can still go live with these campaigns globally, fine-tune it per region. But then that's where the subject matter experts as well as those agencies or those individuals in those individual regions will actually add tremendous value is then looking at something that is already halfway there or 70% there. And then they can add in the cultural nuances and anything additionally. So, it really lets organizations scale faster by taking advantage of AI. Brilliant. And let's have a quick look at those poll results because I can see we've had quite a few results coming. And just to consider for some of the next questions. So, okay. So, okay. If you aren't actually using AI tools yet, potentially it could be due to regulatory issues. But we can cover a little bit of that a bit later on. Basic copy generation and brainstorming. A lot around automating translation tools. So, that's really good. And, yeah. Integrating it into other workflows. So, translations does seem to be a hot topic. I'm also curious to hear from people in terms of like the basic copy generation and brainstorming. Are they using their own AI tools? Like are some people in their company using chat GPT versus perplexity? So, I'd be curious to hear about that on later discussions. But, yeah. Definitely. Yeah. Let us know in the chat. So, yeah. And obviously, translations is a big topic. So, how has translation technology evolved to get us where we are today? And, you know, what are the AI agents doing, you know, today as well to help in that area? Yep. Also here, there are quite a few breakthroughs happening as we speak. So, everybody knows it started with Google Translate. It started with Microsoft Translate. It just gave you some text that, well, if you really paid close attention, you could basically understand what it was all about. But it was really light years away from being production ready. Then, basically, DeepL happened. That was also already a massive step forward. And we saw, basically, the first companies that went then with DeepL and a few review processes. That was already a massive step forward. Especially if you consider that, as we also saw in the other poll, translations were historically ridiculous expensive. And they just took forever because everything was manual and a lot back and forth. With DeepL, obviously, you need to create very long dictionaries to be really sure that everything is just, or just especially the special terms are translated exactly how you need it for your target markets. And what we see now is that you can basically create profiles for your different markets, where you just basically describe the tone of voice, where you are coming from, and so on. And you can just basically, in the translation process, apply those. And that gives yet another quality boost if it comes to the overall content that is generated. That's basically the next evolution step, that you really have your brand guidelines as part of the translation process. Yeah. And Nicole, I wonder if you can shed some light on what that means in practice. You know, where are people seeing kind of the speed, efficiencies, and perhaps the costs as well associated to translations? Oh, huge reading costs. Yeah, absolutely. And I think, as Jan mentioned, you can just see it from the poll results, too, that people are already moving that way. Traditionally, before, you would, again, send it to an agency, and then it gets translated. It gets then sent back for review, and then it gets revised, and then put on the website. And that process can take weeks. And then by that time, by the time you actually go live with the content, the original messaging has changed. So you're then starting all over again. But with an AI-driven workflow, the initial translation can really speed that process up. And as Jana just mentioned, like, we're moving towards brand guidelines. So when you update the AI with your brand guidelines, that already has that approved terminology. And, again, like, the brand voice or the tone of what you're trying to achieve. And so then those local experts can really focus their time on just the fine-tuning of it. But that means you can also go live faster with content, but then potentially more campaigns. So you're reaching more markets. You're finding out, like, what content you need to create and then creating more content for those regions or for a specific campaign or a vertical. So it really, really saves time and efficiency across the board. And then people are adding more of, like, their judgment to what needs to be changed specific to that culture or that market. And then that adds extreme value versus going in circles with production cycles. Yeah. Yeah. So workflow is faster. The cost is lower. But obviously publishing is only half the story. Once that content is live, people need to find it. And the other part of this section is increasingly that means AI. So AI needs to find that content. Nicole, I know this is a kind of big area that you've been involved in. So once that content is live and localized, how do you make sure that it actually gets found, not just by Google, but by AI tools? And, you know, which even the likes of myself and many others, we are using these AI tools to search. I love that question. This is the hot topic of the, you know, of the past months, year. But how do you get found in AI search? So whether that's chat, QBT, perplexity, cloud, Gemini, even in Google, you're seeing these AI overviews show up at the top before all of the list of blue links. So people are finding information in that AI overview. And organizations are really trying to figure out how do I get found? So there's this focus on AIO, GEO, and like, you know, you're going beyond just SEO, but you're focusing on AEO, GEO, and AIO. Does like AI trust your brand? So I think it really starts with like getting found really starts with understanding the questions that your audiences are asking in each market. And then creating the content accordingly, which answers those questions consistently as well as clearly and using the right information and credible sources as evidence. And then monitoring those questions across chat, QBT, Gemini, all of those AI search tools. You can then see where your organization is mentioned, whether your organization is cited or recommended. And you can also see where your competitors appear, as well as whether you as the organization, your brand is represented accurately. So the most useful out of all of that is understanding what influences those results. And that means analyzing your content coverage, your technical readiness, your brand consistency and authority, and then turning that into prioritized actions. So it's one thing just to look at a GEO or GEO, however you would like to say it, a dashboard. But it's a whole other thing to actually take actions and like, oh, okay, I need to build a landing page on this vertical because a lot of people are asking about, does my organization fit with education, for instance? Or I need to make frequently asked questions on this page. Or we keep getting compared in chat, QBT to this competitor. So we should then create a comparison chart on us versus that. So I could keep going on this topic. But ultimately, you know, you can creating the right content matters now for AI search. Definitely. Definitely. And yeah, and obviously, I know many people that you speak to and many people on this call would already have kind of websites and content set up. Well, what needs to change so that AI agents can find and cite this content? Yep. I mean, a lot of the things that really mattered back in the days, sounds kind of weird. Not so long back in the days for search engine optimization are still highly relevant also for the new geo world, 1%. What's basically new is that the structure becomes more important. And also certain tricks of the trade, like the typical FAQ section. And if you pay close attention, you will find a lot of pages that have suddenly all sorts of FAQs. Very true. Yep. They are basically completely aimed to the bots because if there are certain question asked, well, there's a high chance that basically I will just pick that answer that was part of the FAQs. Another thing is there's a new set of metadata that is highly relevant. This is JSON-LD. That's an extra set of metadata that is also used by agents to index you. That's not something that you write by hand. And this is basically something that is typically generated by AI. Like basically in the demo when I clicked on this button, that was basically an explicit call to, hey, read all the content that you have and then just create this machine readable JSON-LD. Excellent. Excellent. Excellent. Well, I think it's probably time we can move on to topic three. So we've talked about kind of that idea generation and creating content. Then we've spoken a little bit about kind of optimizing it and making sure that it works at a global scale. Before we move on to this next topic, do ask some questions in the Q&A. If you've got any questions that you'd like to bring to the experts, yeah, don't be afraid. Just pop them in the Q&A tab and we'll address those at the end. So the final topic. So building a genetic content workflow. So, yeah, let's maybe zoom out a little bit. So, you know, the real opportunity here is connecting the entire workflow from planning and creation through to localization and optimization all the way to publishing. And governance does play a key role in that. And we'll dive deeper on that on episode three. But first, what would be really good is to look at some of those foundations that you need in place to kind of get started. Nicole, I've got a straight, straight, straight question for you. Does agentic AI replace content teams? Great question. Agentic AI changes how content teams spend their time, but it doesn't replace the strategy that they bring, the creativity that they bring, the audience understanding, the cultural understanding. Even the editorial judgment. And so AI can take a lot of the production work, the repetitive production work that do they really want to spend their time on that anyway? And it will actually help them create more content, publish more content across more markets. And so let's also talk about like chat, GVT, cloud, perplexity. AI relies on the quality of the content that it can access. So now we're creating content that has to be evaluated not only by humans now, but also by AI. So even Jan just said, okay, you're seeing a lot of these frequently asked questions appearing on the landing pages. So people, content teams are creating content for AI to understand. And if your content is outdated or unclear or it doesn't answer the questions that audiences are asking in those AI search tools, then your organization is not going to appear in those AI-generated answers. Or it may not be represented accurately. So content teams don't disappear. Their role just shifts towards strategy and quality and continuously improving upon the content that they've already written or content that needs to be developed based what their audiences need and how the organization is appearing in AI search. Yeah, so content quality and content freshness need to be taken seriously by organizations. Jan, did you have any thoughts on this? Well, what should I say? Really, Nicole absolutely said it all. What we just see here at the moment is just a shift in how the time is spent. I think even that content teams become more and more relevant because back in the days, it was obviously you should be found hopefully in the top three search results. Now it's a little bit different. Obviously, with those agents, it's much more versatile. And content is really the absolute key to be even considered nowadays. And therefore, the content strategy, the constant monitoring of the market, the adaptability and so on. I think this is where more time will be spent. So, yeah, it's far from content teams are in danger. I think it's just a shift in how things are done and what is done especially. Yeah, and probably one of my last questions before we move on to the Q&A because I can see we've had some questions come in. So, I'd like to cover those. But what foundations need to be in place where AI can really start adding value? I think that's probably quite a good one just to kind of think about. Where's the best place to start? Well, I mean, the data quality is more important than ever. Garbage and garbage out. Because back in the days, it was maybe not so relevant if there are some kind of old, old data page. Because probably nobody looked at it anyways. Well, this is still part of your corpus. There's obviously a much higher chance that you will basically derail AI. Because if you have a lot of conflicted messaging, well, like for a normal human, it will be really hard to come up with a clear, concise answer. And therefore, step number one is really, from my point of view, housecleaning. Just making sure that you only have content that is truthful, relevant, and not redundant. And this is basically the starting point to begin the overall journey. Brilliant. Brilliant. Brilliant. That's great. Any final words from you, Nicole? Or should we jump into the chat? Yeah, I have to say that's 100% what Jan said. Garbage in, garbage out. Content is still king. We've been saying that for over 10 years in the CMS DXB space. And it is true. Especially now, it really matters. Because AI will look at all of your content. And then if it has, okay, they can answer it this way. So it's going to pull from potentially that outdated blog post that you did from 15 years ago. So it really helps you analyze what is the content that we need to get rid of or improve or redo. So it's good for the overall content health of your organization as you relook at everything. Brilliant. Brilliant. That sounds great. Thank you so much for shedding some insights there. So just before we move on to the Q&A, if this topic resonated with you, we do have a few other series coming up, a few other episodes coming up. So you should see another poll come onto your screen for our next webinar. So we've got one. It's focused around healthcare professionals and portals in the AI era. But if you are in a heavily regulated industry, it would be just as relevant. So that's happening next week. We have why personalization fails and how AI fixes it in November. And we also have how to use AI without sacrificing content, which is that one focused around governance. So if you vote on the poll, which ones that you'd like to go to, we'll take care of the registration for you. So you can automatically be opted in to join that one. Okay. So I can see we've had some questions. So let's start with the first one. So, okay. So this is a Magnolia focused question. So can Magnolia help us identify how some components might not be available, readable to different AI technologies? Jan, did you want to comment on that one? This is a very interesting thought, to be honest. And I have not even really thought about it. But top of my mind, if you, sorry, this is not a very technical answer. If you look at Magnolia's AI agents, you can register whatever tool you like. A tool that's basically exactly that stuff that is used by the agent to read the content, to write the content, and so on. What I would do is here, I would really quickly create an extra tool that will just read the overall HTML or this very component, because this agent is also completely context-aware. It knows where you click, where your focus is, and then just basically have that agent to look at the structure to come up with a verdict. Whoever asked for that, I like the idea. I think I'm going to hit the keys. It's a good idea, really. Yeah, we'll be in touch on that one. Yeah, any question that we get answered, and if it sparks an action, we'll follow up directly. So we've got Oliver asking here, how should you exclude outdated content for AI use, which you want to keep on the website? So, yeah. Is there a way to basically pick and choose whether AI looks at the content or not? Go ahead, Jan. I was going to say, you can put in parameters and tell it with a system prompt. You can tell it, don't look at, like, it's the blog example. Don't look at content from the blogs from seven years onward. So you can give it parameters and sort of guardrails, guidelines into what content to specifically use. Perfect. And it's also all about, like, updating what content you want to connect. So it doesn't have to just be from your website. It can also be new user guides or manuals or, like, a guide that you're a frequently asked question that your support team has. And you can upload those documents in there as well. Yeah. Perfect. Thank you, Nicole. Yeah, we've also had some questions. Someone asked around, interested to see the prompt that you showed in the demo to generate a new page. We can absolutely share that. Jan, we can take that one offline and follow up with Kirsten. That's no problem. How can you learn more about geo -optimization that we saw in the video? Well, we've got, yeah. Jan, have you got some thoughts about that one? For that, I think we even have a webinar somehow recorded somewhere. And we also have blog posts and docs around that. So this is what I would hit first. Yeah. Absolutely. But, yeah, you can obviously, we can contact you directly with some supportive materials there, Marie Rose. So thank you for the question. Here's another question from Hussain. Can Magnolia, after knowing the instructions, filter and exclude the pictures that we want when uploading images on Flickr, for example, to do it automatically? So, again, I think if I've got the question correct, I believe, can you put parameters around images as well? Of course. I mean, this is just a matter of the setting of this component and how it's rendered. So if it goes into this direction, then, yeah, it's just about the options that you implement on your component. Even though I'm not 1% sure if that really was the question. Okay. Has anybody got any more questions? Thank you for those that have shared. And as I say, we'll follow up directly with some of the ones that were requesting some more information. But, yeah, if not, thank you very much for participating in today. And, obviously, thank you to our speakers for their expertise. Before you go, as mentioned earlier, we do have some extra resources on some of those topics. So do check those out in the Docs tab. As mentioned, there's also that CMS audit, which is our brand new resource, and also the Magnolia AI in Action product walkthrough, which will also show some of the features that we spoke about today. You'll get the recording and all of the resources in the next couple of days. But I think that probably leaves us to say thank you, everybody, for joining. We do hope to see you along our next episode. And, yeah, we'll see you next time. Thank you, everybody. Appreciate it. Thank you. Bye-bye. Bye. Bye-bye.