Everything you need to know about Brand Radar in 30 minutes

Let's get ready for today's stream. And now let's go. I'm starting the live. So everyone should be joining in now uh to today's webinar. Hello. Hello. Uh for those that are here first time to these uh HRX webinars or this is like you've done these uh webinars multiple times before, you can say hi in the chat. Let us know where you guys are uh dialing in from or joining in from. You guys see the chat? Don't be shy. You can say hi. There you go. There you go. Okay. Yeah. So, we are gonna just go ahead and start uh right away. I will do some uh bit of housekeeping at the beginning so that we can make sure we stick on time today because for today's webinar, I did promise that we will cover um all the things you need to know about brain radar in 30 minutes. And so, uh I did time myself. It should be within the time, but I also did add a bit of information. So hopefully I will deliver on my promise today. And of course if you have any questions about brand radar. Um I please hold it until the end or you can use the Q&A function. I see already someone has asked questions in it uh to ask your question and then the uh I will go through the questions after this first 30 minutes of uh content prioritized by the most upvoted ones. Okay. So, welcome everyone to today's webinar on everything you know about brand radar in 30 minutes. This is our uh uh most uh fastest growing tool. It also has like lots of different updates and added capabilities in the last year alone. all in the name for you guys to improve your uh ability to monitor your brand's performance in AI in search and and beyond as well as find opportunities on how you can grow it. So how it will work today is that we will go through the main slides the main content and then we'll answer questions at the end. So uh and the question always comes up with about whether or not this webinar will be recorded. Yes, it will be recorded uh and you can access the replay uh on YouTube. It's also currently being live streamed on YouTube. Uh and you will be able to check out the recording afterwards once this webinar is over. Okay. Uh and uh for today's slides, they will be shared uh via email about two days after uh today's webinar ends alongside any questions that we perhaps don't manage to get through in the Q&A today. Uh I will add them as content uh coming out to you guys after this webinar is over in a couple days. Okay. So without further ado, let us begin um uh today's presentation. So why is it important to monitor your AM visibility for your brand, right? So I mean brand radar exists essentially to help with this um like a good part of it is to help you monitor visibility for your brand and well the answer is because people care what AI recommends as a solution or as something that they should try or purchase um when trying to solve problems for themselves. So, and there has been many many many uh data studies out there that look into how much people actually trust AI and how reliable they find it. And so, I want to talk about two of them today. One is done by the University of Melbourne that studied uh did a study of over 48,000 people from 47 countries. So they really went on breadth and people um like in their uh data studies they found that people more than half of them or nearly half of them trust AI answers. Okay. Uh I did put QR codes here in in our slides to if you like to see the full study yourself or let's say if there is a blog or further resources you can uh scan it to um see uh more information that has been featured from the slide. Okay. So the other way people went about it is that they looked at depth. So they had a small number of users. So for example, Kevin indig did in multiple studies not just of AI overviews but also AI mode to understand how people are actually interacting with these new AI elements that are appearing in search but also like in different AI augmented platforms. So in the case for the AI overviews UX study that um Kevin indig did, they found that people treat it as like a quick scan to analyze for uh answers and then um a quick way to access and navigate uh further reading if they want to. So more than half of them upon uh doing uh this UX study they said that they um find AI overviews highly trustworthy. So in summary people are really try trusting AI to give answers more and more even in in light of uh hallucinations or sharing like misinformation and stuff like that. In general, for for most cases, it seems that people do trust what AI has to say. And therefore, um your visibility of your brand and what AI is saying about your brand is important in how your customers or your target audience wants to make decisions about it. So, what is brand radar? Uh brand radar is essentially a tool that helps you monitor the multiple aspects of the web that influence search and AI visibility of your brand but also of like different industries. So it unlike other uh tools that are very AI focused or they're focused on on prompts um at HRS we go beyond that we also help you analyze search demand. So things like from the very beginning when people search are they how how do they go about searching things. So this is like somewhat borrowed from our original keyword index but we go we provide more reports about how they trend over time and give you options to really narrow down on what your branded search of your you or your competitors uh perform over time. Uh we also help you look at web mentions. Uh and then of course we help you look at um manions in AI assistance and platforms citations. Uh and now very recently we have re um launched YouTube, Tik Tok and Reddit visibility as well. And because this is our fastest growing tool, we will be adding even more functionality to it uh in this year as well. Uh another thing that we've recently pushed out is the ability to track custom queries. So um in the previous um main overview about brand radar this is a prompts that we have collected via our um searching like SERs via our keyword database. So when we provide these prompt data they're based on some um basis of why people would search certain prompts rather than just hypothetically uh synthetically creating the prompts uh that other platforms tend to use. So, I'll go into detail about how that works later on, but if you want to um just add in like your own personal prompts or what you find important, uh you can now do that in Brand Radar and uh like if you buy the Brand Raider add-on, it comes in with uh some 2,500 checks. So, um it allows you to track queries across different platforms. You can choose which platforms you want to track the responses for. You can also select the locations as well as the frequency. Okay. So, so now you can um check for like so if at least for your brand or your niche there are specific um questions that our uh index does not cover, you can now add custom prompts yourself to analyze alongside our our base index. Okay. How is Hrefs's brand radar different from other platforms? Well, we because we focus on like collecting these responses up front and analyzing um what these prompts should like where they should come from. Um we actually have the largest AI visibility database um of over 272 million prompts across the different platforms and um it allows us to then uh collect the responses and store them and we check these over time so that you can see trends, you can already see the data without having to first put in a prompt and then waiting for them to generate responses and see them over time. these um data is already done on our behalf I mean on your behalf uh ahead of time and you can access all of these like hundreds and thousands of prompted response data um from the moment you have access to brand radar. So and and all of this is not tied to any projects or any specific websites. You can do it for and analyze uh your brand your competitors. You can analyze other industries. You can do all these different things from accessing brand radar without being tied down about these specific limits. Okay. And the third is that um a lot of platforms uh competing platforms out there tend to provide uh prompt volume estimations and um that's not what we do. We we use um our the the database of keywords that we already have that we provide um as we have always been providing in SEO and use that to extract uh questions that people ask um which are backed by by all these search data rather than um estimating it based on different data that um the other platforms provide that they typically use from like Chrome extensions. um where where they're snooping into what people say or type into AI platforms. So it is so even though we so for example in Steve Top's post here you can see that even though it is not a direct uh anal like extraction of data of what people are actually typing into AI platforms um it is on on the similar range that you would expect from what uh people would actually be searching for any particular term or brand right so and and um in this case for Steve's post he when he did the analysis about what PE uh platforms are promising for um search volumes or prompt volumes. He would then check that with GSC mentions um from uh AI uh sorry GSC impressions uh for the typical keywords that that uh match these prompts. Okay. So it it does matter what these numbers say and how you trust your platforms to get these numbers about how much people are actually searching about particular uh topics or brands or asking about certain questions. Okay. So where does uh brand radar's AI prompt data come from? So at least for the AI part, we gather uh SER results from keywords in our database. And uh when we enter and when we collect these SERs uh which is search results uh search result pages, we then collect the people also ask questions that show up in our SERs. And uh these typically model how people are asking questions online. They are usually longer and they're longtail. And as we know where with the way that people are asking questions in dose search as well as AI these days they're getting longer more complicated and so these are a good proxy to how people are asking these questions. So then we ask these questions that we have collected into the AI platforms like chat GPT perplexity Gemini and co-pilot as well as air overviews. Uh and then and in fact um when we have keywords in our database of course we have them for different countries we have them in different languages and so um when we um prompt these questions into AI platforms we also follow the country that we source these questions from right to get the um so like just so that we can get more accurate answers. Uh and then of course then after we get the responses from AI, we store them and we make it easy for you to query and search for them to check for your brands and see what AI is saying. So question sets are updated and tested in chat bots monthly using a 90-day reporting window. So for example, if there is a particular question that we that in people also ask that showed up one month but then it didn't show up the next month, uh we will still keep that question for 90 days. That's what this means. Okay. Uh what about Tik Tok and YouTube data? So as you know um HFS we um crawl the web. We have our own web index where we um collect uh pages page information as well as HTMLs um raw and rendered HTMLs of every website uh that we are able to crawl in the world. And while we do that we also crawl uh YouTube videos as well as Tik Tok videos. So um and when we're able to crawl them, we save their video titles and descriptions and transcripts. So that allows us to provide that data to you and you can analyze that data yourself uh in Brand Radar. And by the way, for specifically Tik Tok and YouTube, it should still be in beta. So you can you as a paid subscriber can access those uh these indexes now while they're still in beta. Okay. So what metrics are measured in brand radar? So this was a common question that people asked before because they wanted to understand okay so you know we have data that comes back from AI uh but what are these um tables and charts are showing and why should I care about them. So um the first one is just is very straightforward is number of mentions. So uh the number of times your brand is mentioned in AI responses. So for example in this response here um was generating from a question about I think searching for uh popular sci-fi movies I think something like sci-fi novels. So uh in this case there are four mentions of Star Wars, three of Dune and two of Star Trek here in the response query. Okay. The second is citation. So um it would be the links that they show as being cited in the response. So here in Star Wars, when I'm trying to track for the Star Wars brand, um I also entered in the website starwarss.com just to show like an example of like uh how to track for mentions of a specific branded website. And in this case, we see that it's mentioned once, but it also is citing many many other websites. Uh but it shows that like the the brand's main website is being cited and used by AI. All right. Um the third is impressions. So this is this is where it's a little less straightforward. So it is an estimation of exposure based on how often the responses containing a brand show up in search results. So this is true. Um so if we go back earlier when I mentioned about how we collected uh search uh people also ask questions based on keywords. So when we let's say we search um the keyword of like um best dog groomers and then we see that in the search results there's a section that has people also ask. So they maybe ask for best dog groomers uh of a cheap price or best dog groomers for smaller dogs, bigger dogs, stuff like that. So these become the questions. We'll use that to estimate with the search volume of these questions as well. And so we'll tie these questions. So these are also people ask questions because they came from a specific keyword. We also map that uh search uh keyword search volume in the same for the same question and then that becomes the number impressions for this one um impressions for this one question. Then we sum up all the um impressions for whenever a brand is being mentioned uh in for any of these questions. So in this case it's only the first one is only Star Wars and Dune. So that is impressions going to only Star Wars and Dune and then the second one is impressions for Star Wars and Star Trek. So you see how this is being calculated and and overall you see because all three of these um question um responses mention Star Wars. So Star Wars has the highest number of impressions followed by uh Star Trek and then by Dune. So, it's not just, and why this is important is because um uh it matters like how often people search for something, not just uh whether or not your brand shows up. Um, how often is your brand showing up for something that is popularly being queried or popularly being searched may matter more than if it's uh like not showing up for a query that is niche uh but has like or showing your brand that not many people are searching for. So this is your how how broadly your brand is being recognized. Uh and then finally is AI share a voice. So um because in the world of people clicking less and less um to find answers in search results or even in AI um what now matters more and more is where your brand stands in terms of how often is being mentioned and and for what kind of popular or not popular queries and how that stacks up against your competitors. So here at HFS, how we calculate that is a particular brand's impressions versus all brands impressions. It's just a simple division here. So in this case, Star Wars shows up a lot. Um then next is June. And then finally, Star Trek. By the way, uh if you haven't tried it yet, uh in Brand Radar, we have some search queries that are free. So I'll show you how to use that. And based on these free search queries, you can use it to really like click through yourself like the different features of the platform uh without without any limits. So I'll show you how to do that and that doesn't require any uh add-on subscription. So now we will go into the four use cases of brand radar. So I will um show you what they are and then uh I will also try to demo it to you so you can check it out. Um so in these use cases like it's based on what you need to do to improve your brand visibility both in traditional search as well as in AI. So the questions you need to know I mean uh the things you need to know then translates into uh uh content that you can create or uh third party websites that you need to connect with and partner with to create uh more brand mentions uh as well as structure formats. that AI is more likely to search especially for your niche. Okay. And so these these are like um the information about what currently AI prefers today or what search prefers today then translate to the decisions you make towards your content as well as your uh maybe PR uh strategies moving forward. Okay. Um so um I've also added a link here at the bottom where you can check out all our blogs that go into more detail into what are the factors um that influence AI search based on our research as well as like different things like analyzing a specific content format and how well perform uh it actually performs and things like that. So we go into we have all kinds of data studies that um we've been doing in the last year or so. Please go check out this blog if you'd like to learn more and hopefully that would help you understand and better prepare you to improve your AI visibility in the future. Um so let's let's go into them. So the first before we go into the case studies I want to cover how you can set up brand radar um before um um looking at the data. So what options we help you provide before um doing any search is you can enter in your brand, you can enter in your competitors or if you're if you're not sure, you can also click this like sparkly suggest button and they will use we will use AI basically to suggest uh competitors for your brand and then you can filter for specific market or niche and this is optional but it's also useful for uh if you're a company or maybe your competitor um tries to target multiple um market. So, for example, if I were doing it for HFS, I may filter it down for specifically AI search or like uh social media marketing or I'll filter it down for uh things like PR or affiliate marketing, something like that. I could do something like that. Uh if I were a brand like Nike, I may filter down for a market or niche that's related to uh basketball or running or casual wear or fashion and things like that. So, that's something you can do. These are the different dimensions you can put in uh into brand radar before um clicking on explore. And as you enter in your brand, we give you the option to put in name variations. So sometimes people are referring to your brand or a competitor's brand as an abbreviation or maybe uh in a different uh country or market um your brand may be uh typed in as something different. It could also be in a different language, something like that. uh it could be you could be given a nickname or your company could have multiple brands under it. Uh in that case you can enter in the name variations here and similarly for URLs you can enter in your companies or your website's URL here as well as like other uh subbrands or subloations that you would like to all track together as a single uh company. Okay. And then when we you'll see in the overview uh that all these different variations or different aspects of the same business uh become lumped into the same uh metric that we can track over time or across uh different metrics. Okay. So let's start with the first one which is questions that you need to answer. So a lot of um uh people and have analyzed and see that like definitely have making sure that your website answers some questions like important questions about your brand or that is commonly asked in your industry would basically become the information AI takes to answer questions uh when people ask about them. So if you if your website does not have that those questions then your brand does not have that visibility like straightforward. So how you can do that is first you can check uh AI responses, check queries in AI responses, but you can also find relevant discussion threads on Reddit. So let's quickly uh demo that here. So I'm going to switch my screen over um to the demo. So okay. So um if you are following along, you can see that uh here I have brand radar open. You can demo at the bottom here. So all everyone here without whether you have Brand Radar or not, you should be able to check this out. So I'm going to go ahead and click Star Wars versus Star Trek, Dune here. You should be able to access like uh all of Brand Radar. Basically, every one of these rep reports should be accessible to you like as long as you have these queries at the top. Okay, so you can give that a try. And um in this case, we're looking for questions. So I want to look at what questions are being asked about my brand and my competitor's brand. I would go into AI responses and then uh I will go look at uh chat GPT or Gemini. A lot of times I get questions like this. I can see questions like this in different languages. Uh I will for example filter it just for United States in this case. I can see where uh brands are being mentioned. I can see that even though the question has nothing to do with uh sci-fi movies, somehow these brands show up because uh Star Wars and Star Trek kind of collectible items are are products that are in collaboration with LEGO. So this is where my uh you know in this case the brands are being uh shown. Um so these are a way for me to see questions. They are then sorted by volume and uh I can filter them for um questions that mention only my brand together with my competitors or only my competitors. Okay. So like I can hover over here and maybe I click for others only. So that lets me see uh questions that only mention my brand uh only mention my competitors. Now this can be like a gap of questions that I should be answering but I have to analyze them first of course but like this can be a way for you to find questions that can be answered uh where my competitors are more visibility right so this is and then I will repeat that and I'll go into uh Gemini and perplexity and copilot so these are the ways to do it and of course these are not the only filters you can add in uh you can also filter for so if you click on the filter Here you can see that there are different rules. I can click for making sure the response has certain keywords. I can filter for specific citations. So maybe I want to look for uh all the queries where YouTube is being cited. Okay. So that's something I can do and then I should be able to apply the search. then I get a much smaller number than 5,000 questions. But again, like uh in your own time, you can also check out all the different filter options here. Uh okay. So, so yeah, just to Okay, so we're 166 results. So then uh if I want to look into the query more detail of course I can click the show more uh button and then I can see side by side the responses as well as the citations. Okay, this gives me a good idea about what AI is saying across different different topics. Again, this is another benefit of being able to use our database of prompts because it is based off of um what is available in already done in uh search and not just some hypothetical rules about applying the word where, why, what to your brand. so the second way is to find relevant discussion threads on Reddit. So uh like here as as you can see now because this is in beta you should be able to access this even without the demo. You don't you can put in you can start putting in your own brand now but in for for today I will not I'll just keep it as it is but you you can go check out check this out later. Um I can see here um based on these titles of of Reddit that there not many of them are questions. Suggest me best sci-fi movies which has an epic intro. How you know certain character in a movie blah blah blah. So these this is another way of getting questions that uh you know as as a brand owner or website I can make sure to answer them somehow on a website that's relevant and that then becomes information that feeds into uh AI as well as like search in general like oh like being making sure you answer questions that people ask uh and having that information on your website or in or sometimes even on competitor uh like or third party websites make it so that um your visibility as a brand becomes better. It feeds both search and AI. Uh I see some questions being asked. I will answer them at the end. I promise. Okay. Uh next is uh topics you need to cover. So this is like areas that would be worth covering. So as a brand or in your industry. So again, I can put in your brand, your competitors. I'm going to go ahead and show you how to do this uh without putting in any brand. So uh let's so people in the chat if you like to suggest what industry your business is in we can use that as an example. Anyone would suggest their company's industry or their website's industry? Let's do Okay. So, I see car rental. This is a very interesting one mostly because of how things have been happening the last year. So, you notice so I'm not putting in any brand. Yeah. Uh so it will basically look for uh queries as well as responses that mention car rental in this as as one term. So we have in this case 38,440 results. Uh like so you may not know that for example if you put in the keyword skycanner that uh that there will be you Reddit links that are talking looking for car rentals. You will not know until you have like a uh like check out a tool like brand radar that can give you the information. Uh for me I only thought that sky scanner did flights but it does make sense to do all anyway. Um so let's go back to the overview and what I want to go through. So I'll just show you what slide we are on quickly. Go back to the original slide uh which is this one. Right. So what we're going to go through now is we're going to check the topics report. We're going to analyze AI responses for coverage in depth. And uh the second one is a bit more manual. I may not do this in the interest of time as well as review highly uh viewed YouTube and Tik Tok videos. Okay. So because they're making content about particular topics. So these are um areas of which become an interest for where your brand could be more visible. Let's go back to the demo here. demo demo. Okay, so I've only because I've only put in one marketer niche. What I will then go to is I'll go into the topics report. Uh you can also do this with your entering your brand and your competitors, but in this case I want to be more generic because I want to see the whole industry what people are talking about. So lots of it of course as expected is talking about discount codes but they're also talking about um age restrictions. So like maybe um what you as a person or customer is required to have in order to rent a car. Um I can see that uh what are the payment options, particular brands, insurance. So uh things about damages um like you know different arrangements of renting a car. These are all grouped uh based on different topics and in each topic I can see the relevant AI responses. So like if I want to cover a topic, I can look at the AI responses section to see what questions I I should be answering or like um what like sub keywords I should be including uh when answering or making content around a particular topic here. Now this is my my way of analyzing okay if I want to cover this topic in detail in a useful way let's see let's compare that with what people search as well as what AI say. All right, I can go into uh more detail and analyze. So like sometimes like for example when a query like this is entered into AI, I can read a response. I'll look into the like AI tends to depending on different on different platforms, they they'll answer in different sections. they'll like not just answer your question, they'll also add some like in like uh useful information over here that's like not necessarily um something that you may uh need the answer for, but like AI is generating the answers to be as helpful as possible. So these are your like what you need to cover in order to uh cover a topic for example and then of course you can u benchmark this against the uh websites that they have cited from and you can see how they have created pages to uh cover the topic that you're trying to cover. Okay. So that is using the topics report. So then as well as looking at AI responses to look at coverage in depth. So now I want to look at YouTube and Tik Tok here. Um I will go through and see if there's any um websites that mention uh that might be similar to to what my industry is trying to show. Um a lot of these um videos unfortunately have mentions of all kinds of different things. So that is a challenge. So maybe I can uh filter it for uh English hopefully or maybe I just want to see it last 12 months. Can you can you see my presentation? I think only one person is complaining but if there's any issues. Yeah. Okay. So all right. Um so I will go through and see if there are any uh website not just videos but also like in this case it's uh like a kids video uh but I may be able to okay so now this is something that is likely relevant to your industry or something that you may need to target right travel agencies and stuff. So like you can go over this uh report here to see uh what would be interesting. But if you get like some something like this that is not so relevant uh you can filter it down for uh the transcript or the description including or not including specific things. So maybe in this case I just want to say title doesn't contain kids for example hopefully. And then maybe uh I can say I want the title to include review. Let's see. Okay, this is a bit better. Now I get information about the the provider. I can also see how many views this video has. I can see like what they're talking about, the products they're talking about. And this is like maybe areas to to analyze. um that'll be related to car rentals. As expected, it has to do with like traveling a lot. Uh but that also gives you an idea about like what are the areas or like locations that um where content creators are getting the most views and that also means most impressions that your brand is going to get if you choose to work with these um uh creators or sponsor them or something like that. Okay. Ego, I see your post about that we cannot see, but it looks like everyone else is able to see the presentation uh as well as um see what I'm showing. So maybe you need to quit Zoom and come back and hopefully you can hear me too so you can hear. So Eigor, try to try to quit and rejoin. Sorry. Okay. So, so no one else is complaining. I hope things are working. It should be um like a presentation should be going just fine. So, uh so that's how I go about looking for uh sponsorship or topic ideas in Tik Tok and YouTube. Okay, let's go back to sharing uh the main presentation again. Uh third parties that AI trust to recommend brands. So um in the age of uh AI visibility and you can see that let's just demonstrate with an example more than anything uh and I'll do that in a bit but like we it is important to get now more than ever uh other third party mentions of your brand and not just on your website. Um so this these like it would be useful to check AI responses as well as um like different uh video visibility platforms to see what are the kinds of publications or creators that are mentioning you talking about you or maybe your competitors if you are not uh mentioned as much and uh it will also be useful to see if um you're being reached out to by different YouTube creators or or influencers and stuff what is their actual reach rather than just looking at whether or not they're relevant to your industry and you can see that information at a glance with brand radar and uh so I will show you how you can do that. So um insighted domains as well as uh YouTube. So let's go back to demo. Okay. So uh I saw earlier that someone had um there was news media and travel. Let's let's do travel. And for the purposes of today's demo, I'm just going to put Expedia and get suggestions just for just for fun. Okay. So, we have a number of different uh I'm going to remove Airbnb for now, but uh we have different uh competitors to Expedia in the travel space. And I can click explore, go back to uh the main overview here and I want to look at like um third party third party me. So I'm going to look first look at cited domains and it is important to check it specific to your industry. Uh in general every AI platform has different preferences of what uh like websites of authority they tend to trust. So for example in chat GPT uh Wikipedia is being weighed like uh more often it's getting cited more often and then in uh Gemini for example Reddit is being uh cited more often. So every platform kind of has um different factors that they weigh more. So a tool like Brand Radar helps you really check to see um how that might vary from platform to platform specific to your industry. In this case uh we have it like sorted for AI overviews. Uh you can see that like if I put Expedia and I put in like you you'll notice that in in all the the brand and the competitors and the niche Expedia itself is not at the top. In fact, it's not like it's all the way here in this uh like um lower section. So even like a more established brand like Expedia like most of the uh citations that AI is taking as a whole in AI overviews is not your website. It's other people's websites. So, third party mentions really really matter to influence a brand. Um, if I change this, this should still be the truth. For example, we're going to look at chat GBT. Um, yep. So, again, Reddit, YouTube, Wikipedia, Facebook, Trip Advisor, Forbes, and then Expedia. So Xedia has moved up a bit but uh in this case because we're we're quiring like a like a well established brand I can see that happening. If your brand is much smaller uh and or like not at um you know at this level of uh establishedness for many years and stuff like that this is even worse right so uh so it really matters to get these third party mentions of your brand and if I want to go into detail about like how different platforms like for example I want to see how nerd wallet uh uh site citations of nerd wallet what kind of AI responses uh prompts that they that they tend to get cited for. So I can see let's filter it for English or sorry uh filter it for United States for the purposes of uh today's demo. United States. Okay. This did not filter. Did it load it again? There you go. United States. Okay. So, I get to see like the questions as well as the responses. Uh, in this case, they tend to be uh quite maybe top of funnel or or middle of funnel where they're already looking at like how to get cheap hotel rooms and and how to find discount hotel rooms or best website to book. I think this is related to yeah it's related to cheap hotel rooms or booking sites is is a brand legit is is a you know place legit and things like that. So then that tells me what kind of queries where this particular website is getting cited for which kind of makes in this case it kind of makes sense because it's to do with budgeting right so like that tells me like okay so if I want to partnership do partnerships or collaborate with a particular website to get my brand mentioned more um this is the angle I have to take or this is how um this particular uh do sited domain topsighted domain uh would be able to help answer questions about right and then I I can check that for different domains like maybe I can go all the way um all the way to like I can check for example let's just pick a random example and just see what the data says it's a lot of data it's taking a while but Yeah. Uh but yeah, I hope that while I'm going through this, you guys are also checking out Brand Radar through the demo as well or even just in this case for YouTube and Tik Tok, you should be able to access that with no issues. Now, uh let's say LinkedIn, why is LinkedIn being used uh as a cited source in AI responses, right? And uh so in this case we can see that it's related to some of it is related to brands but it's also about booking companies, agencies um yeah different things like that. If I want to go into more detail I can um click on a particular let's say like there's an interesting one here about hotel membership. So then I can look into scroll down and see if I can find a citation for LinkedIn here. So it's a pulse post here on LinkedIn. Sometimes it could be a post that's made by somebody. So these are then this tells me the format of which these third party uh mentions or recommendations or content has to take. Okay. And then I can also do this for specific pages. So sometimes it's not just about like uh a domain that's being mentioned a lot. It could be a particular website or particular page that is very very popular. In this case, we didn't really see this domain inside the domains, but this page is really being mentioned a lot by uh cited a lot by AI responses. So then I could open it up and see what it's about. Then that also lets me know what kind of website it is and how they create content. I can check out the author and see if I can reach out to them on either like uh social media or they provide any like requests and stuff like that. Okay, so this is how I can use uh Brand Radar to find third party mentions. Okay, and then uh the last one which I've already kind of touched upon earlier is structure formats. So uh it's not just about like whether it's a video uh or it's a uh social media post or it should be a web page. It it should also be like what is the format of the content? Is it a case study? It is is it a blog, a personal blog? Is it a recommendation? Is it like a like if it's Reddit and you're looking through Reddit, what is the discussion about? What kind of questions are they trying to answer? Um you know, things like that. So this is also something that you need to keep in mind when you're looking to your uh outreach or your uh brand content strategy. Um you should So if I were to do that in Brand Radar, here's I would go about it. Um switch back. So let's pick out another example here that people shared earlier. Uh can people share more? Anyone else wants to uh pitch their brand or their industry so that we can uh check out an example here about how to look at formats, don't be shy. Uh I'm not sure how if we're gonna All right, let's just try to put in Let's try to put in Okay, I'm going to I I think this is like photography. Let's do Sorry. Is camera like branch? Ah, okay. This your this is your company here, your website. Okay. Okay. I mean, let's let's let's let's try that. Camera AI. Put in your website here. Did it work? Yep. Okay. And then, will AI be able to give realistic competitors to your brand? I hope so. Doesn't look like it. It tried, but okay. Maybe for the purposes of today we can we can stick to this three and then we can search. Okay. So um best lists, best cameras. Um I think this is mostly influenced by the competitors here unfortunately. So maybe if I filter it down to AI photography or not AF AI AI generated pictures. I'm not sure if I got the term right. So maybe AI generated photos. Oops. photos. Okay. So, the person has given us some suggestions for uh competitors here. So, it'll be BICA and F Hey, here. So uh we see some PR here and we're seeing but also we're seeing like uh basically it's so if we open up this particular page we can see that it is a um press article trying to answer particular questions uh about AI but not specifically about AI photography. uh but more of I think in this case it is trying to get information uh AI has decided to site information related to people generating AI uh photos for their profiles right um so then we can go through and analyze these things this way and again if I want to I can look into a particular Reddit thread um it's the in this case the format is people are asking just asking questions about um AI photos. Uh it's not like a long dissertation post about a fandom or something. So, so like this is how I go about different formats by looking at the topsided pages. Uh and then if I go into YouTube, hopefully we have some data here. No, I think it's a bit niche at the moment. We don't have much information, but in Tik Tok, we do. Okay. So, so then we get like we get to see how AI photography is being mentioned. uh what sort of like uh in this case I think by clicking on this you can see the Tik Tok video. Okay. So then you can go through this and see what sort of videos are being uh featured for this category or mentioning this brand. So you can click through them to see and you get like a teaser of like um the description here as well. And if we have the transcript then we will show it here. But in this case we don't have the transcripts so we don't know the data. But yeah, so that's how that's how you um look into like a quick way to look into all the different formats. So, and it's also a good case to showcase something that's like a more niche um u business category rather than something like news or or travel that already has a lot of information. It's already a very established uh industry and stuff like that. So you can uh use brand radar even for the smaller uh brands or smaller um smaller industries or niche industries. Okay. Yeah. So I hope that was useful. So in terms of looking through how to use brand radar for I like to try to get ideas or use cases to improve your content strategy as a whole. Um okay. So, and this is just a small snapshot. This for some reason is not loading. I apologize. Uh, but if you want to learn more ways to use Brand Radar, we have a blog that goes through this uh 10 10 use cases and how to do it as well as a course that goes through the the different features of Brand Radar, how it works. Uh, some of the newest features will not be in that course. Uh but we will be updating this very very soon to to have like different ways to explain how it works as well as use cases on how to use them. Okay. Um so how to access Brand Radar. So this is we're almost at the end guys. So we talked about how you can uh check out the demo even without paying for brand radar. Uh but also as a paid subscriber um sorry let's talk about the prices. So there is a um all platforms price here of $699 USD. you will see something slightly different for uh euros uh as well as pounds or uh yen if you're from Japan and or you can buy individual platforms. So if you are not um if this is too much of a commitment up front, you can consider buying just maybe Google AI and uh overviews and AI mode or just chat GPT or something like that which you find will be most uh important for your industry. Okay. And you can purchase this without an HF subscription. Uh if you wish. So it's not necessary to have a base subscription to buy these. Uh and actually if you are already a paid subscriber of HRFS, then you can try Brand Radar for a week. You just contact our support team to say I would like to request a trial to access all of Brand Radar to see if this is something that is useful to me um that I'm finding it uh worth um paying the money for. I want to check certain things, certain features about it. You can contact our support team um to request for a a trial. Okay, that's that's available for you now. So like definitely recommend that you go to our live chat uh here as well as uh or email our support team. Okay, so yeah, so that's just what I want to mention about Brand Radar. These are all the things you need to know. Uh now there are some questions that people have asked. So I'll go through the Q&A first and I know some people have asked them in the chat as well. So I will then proceed to ask that. So okay um this one is done not a question. Okay. How many brands can be used in a query? So I think you are referring to let's go back to brand radar here right entering brands in like your brand versus your competitors. So you can you can type in a lot of brands like I think I tried to do 20 at one time on on all of these and like you're able to see data for all of them. Um however the more you add in the more like laggy it gets because uh you basically see a lot of data at once and or like they have to load many different charts at once. So um you can technically add quite a lot. I think there is uh currently uh no strict limit but you will find that your brand radar will start to slow down a lot if you keep adding. So if you have multiple brands uh and you would like to see them in a single entity, you can definitely check out like I mean as mentioned earlier to put them in a single entity. So maybe you are um running a brand of uh bicycles or something and you have multiple models you can put in like multiple models in the same entity for the same brand. Okay? Rather than put multiple uh brands here. I mean that's up to you. So I hope that answers your question. Hi Gian Luca if you're still in the chat. Uh are you going to add a semantic uh analysis of LLM answers? So uh I think what I can talk about is that we definitely want to do this as much as possible. Uh we're looking into ways to do this like reliably. Uh but we don't have any news about doing that um being able to pro provide it as a feature just yet. I can only tell you that people ask for this a lot and I know this topics uh report is limited. We understand that it's also like you know within that number you don't really get a useful like grouping of of different topics. So we we know that like topics as a report is in order to semantically um like group um analyze or or group answers into different categories is kind of limited right now. Uh but we're looking into better ways to do this. A proxy. If you already have something set up for yourself, maybe you've already created your uh sentiment analysis tool um separately on a different platform, you can export the data. So here export the data uh and then feed it into a separate like um for example I've did it done it before where I've exported like all the prompts and AI responses uh and fed it into uh like lovable or or claude or something just to see whether or not they can do any analysis for me. So I've done that something like that. So but in brand radar itself not yet. Hopefully we can find a good answer for that. So thank you for your question. Uh, can we use boolean queries when setting market or niche? Um, I think no. Right now, no. Uh, if you are able to. So, I'm going to while you're here show you guys uh hrefs hrefs.kany.ai. Oh. So, we This is our um suggestion board. So, this is the one for brand radar. Uh Richard, if you're able to share your use case in more detail, so I'm going to post it here for everyone. If you have a feature request you'd like to see in Brand Radar, this is the place to suggest for it. Um if if you like if you can give more information about like what this boolean query would would be like and based on that we can see how best um it helps to solve problems faced by users and then people who see it that also want this feature can upvote it. You can see in this case that like people have a upvoted certain features that we've actually pushed live. So um then if we know better about how your problem uh what problem you're trying to solve by using boolean queries then we can see how best to support it. Okay. Please help. Yeah. Or I mean if you if you want to put like biodiversity climate change you can just put biodiversity or climate change. I think I'm going to clear the others. But it's not a boolean like it would basically you'll be able to see data matching both. It's not and so it's either uh responses queries and responses that uh show biodiversity or climate change currently. So you can do it if that is your use case. We can technically do it now. But if it's not, please suggest in the feature request board that I've linked. Uh, how would you recommend analyze the news provider market using brand radar? Um, is that to So, Richard, this is your second question. Is this a question about uh how to reach out to them or how to understand their formats? So if you can please um Richard give some uh additional information about this question. If I just want to look at like news providers in this niche that I've just typed in for biodiversity and climate change uh I will uh go into domains here and see the topsided domains and not every one of these. Okay. How to understand the most influential news providers. If I were to measure it based on uh citations then I would like maybe look at the number of AI responses that are being so in this case here I see that these are the top domains that are being cited in AI responses related to biodiversity and climate change. This is how I want to answer this question. So then I would maybe look at um specifically uh news providers here not not actually a news provider but this onsites direct I think is um a lot of government websites are here different industry websites are here so uh and a lot of these tend to be from institutions that don't accept like don't readily expect uh accept queries from I think just the random public you may need to get in touch with an agency that like has ways to uh work with these uh big institutions. So, but then I brand radar what that can help me uh answer is like for example nature.org right I will look into the AI responses to see like a have have a quick look into the queries and see if it's uh something that is something I want to target. Again, I can filter this down for queries that have something specific. So maybe I can see like like let's say I want to see queries that contain latest. So then I can find uh domains that are sharing like I think recent information or something, right? And then then I would basically see air responses to um to queries related to latest extinct animals and uh stuff like that. If I were to go to YouTube, I mean, maybe these uh uh news providers, they post videos on YouTube. A lot of them do. So, that's also something I can check out, right? Does that help to answer the question? Hope it's helpful. Uh hope that's helpful, Richard. Uh Peter asks, "If you buy Total Access to Brand Radar, how many custom prompts can you track?" Um, okay. So, the the count the way to count the number of uh like custom prompt usage that you can spend per month is by checks. The word is check. So, I'll show you how that works. Okay. So, this is a demo report I've set up here for custom queries. So, here I have a bunch of custom queries. And again for custom queries I can add like super long super convoluted detailed queries to track the answers for uh and and you can see here how it's been calculated. So let's say I want to have a very uh specific prompt about something another specific prompt. Okay. So uh in this case there's eight that's being consumed. Okay. Uh because I have two queries and I am checking every month once a month for CHBT co-pilot Gemini and Perplexity. So that's two times four. So that's eight. So if you buy um so that's why when you get um purchase brand radar you will see that you will get 2500 checks. This is eight that is being consumed by these two. And if I want to only check particular um platforms, I go to report settings here and I can say I want to check this one more frequently. I want this less frequently. I can also turn it off for particular platforms. This is something I can do and that will affect the number of checks you spend. Yeah. Okay. So that's that's how that's how uh how much you get for uh for custom props. So I hope that answers your question Peter. Uh hi from India just need to clarify how frequently does data updates. So um that was from what I shared earlier in the presentation D here monthly for uh for the chatbot chat assistant AI assistant platforms uh using a 90-day reporting window. So like we basically take all the the query the questions that we have collected from people also ask and then we check it once a month and because these questions can change over time. So it is different questions that we check um over time every month but many of them do stay the same. So um it just depends on what questions we see show up in search results. Okay. And if you are looking at uh the AI how often uh the responses update for AI overviews for example that's slightly different because AI overview shows up when you search normally in Google. So uh in this case for AI overviews you see that we have data on like a daily basis. We have data on a daily basis. So um so it's based on similar to keywords explorer it's based on how often we update the search results for different keywords and the more search volume a keyword has the more often we update the search results for right and then well then then if AI overview shows up in the search results then we update the data here in brand radar okay so this is the only exception I think AI overviews AI mode is the only exception these are once a Okay, so hopefully it answers your question, Ji. this is how frequently can I get to know the number of prompts my domain is ranking for. if you're just putting in the brand here and then trying to look for mentions, um, I think it's not we don't have data about like what people are actually searching. So it's not the number of prompts is not something that is uh is is able to we can like confidently answer. We can show you the number of mentions or like impressions or citations your brand gets in our database. Okay. If we search all these queries so we can show you that from the entire database of prompts that we have what percentage of it mentions your brand. that's what we can help to answer but not like how many times people prompt AI where my brand shows up that's not something that we can share because um HFS does not have data about what people actually search in AI platforms like how many like how many times people are typing in particular prompts and stuff that's not something like that actually comes from the platforms that's not data that we have okay so I hope that answers the question uh and I know there's some questions in chat. So, I will um answer Nicholas's questions and I'll see if any of those that I've not answered yet in chat, I'll help to answer them. Okay. So, Nicholas asks can traffic value be added to AI brand brand radar metrics? Uh I I think you will have to request it in the feature request board that I linked earlier for traffic value to be added because we like to know more about why you would find this useful and how you plan to use this. Okay. Uh it's a matter of seeing how whether or not it's a use case that would make sense that our users can all benefit from and then we can see if that is something that can be added. So right now I think there's no plans to add more metrics at the moment or that we can talk about. Uh second question, do advertorials of sponsored content have an impact in AI mentions? Um we have not done any studies on it so far but we know that um different AI platforms are starting to put in uh brands uh advertisements as results. So, um, we know that that's happening. We don't have data about it to help you answer this question, unfortunately. Um, if you're talking about Yeah, don't think I don't think we can uh we we have the data to help answer your question right now. I'm sorry, Nicholas. We really would like to look into this more further. Uh we we hope that as the AI platform providers, chatbot providers more confidently roll out these like ads and sponsor content that they plan to do that they have been talking about doing that we have more ways to collect data and like do a feasibility or like analysis about um what impacts ads have on AI responses. So it's a good one. some questions I think at the top J's question I've answered already. Uh when will it be possible to track AI? So this is Adrian's question. Adrian asked when will it be possible to track AI share of voice from Gemini in markets such as UK and Poland? Currently the reports are returning zeros. Uh yeah so this is this is something that people have asked before and I've seen it happen. I unfortunately don't have an answer to that. Uh Adrien, I will answer you separately. So if if you want to know what Adrian's asking about. So let's say if we want to do like energy uh like energy market and then if we go uh into United Kingdom I think you'll see that like uh or let's do like something like like this and then uh I believe if you check your overview you see Gemini zero. Yeah. So let this report load. So I will answer this question um separately. Yeah. So if I do United Kingdom, this can happen sometimes if there are restrictions to whether or not uh we are able to search um specific AI platforms for different countries because as mentioned earlier we do the searches based on where the prompts like come from. So sometimes the prompts are from different countries. So um we'll search it in that country and if we're not allowed to search in that country, we don't have data for it. But I to give you a proper answer for this uh and Adrian I will contact you separately to answer about why uh certain markets have zero for Gemini. Okay. Uh think I answered the questions about C custom prompts already. There were some questions below. Uh Anurug asked about can you share an email to contact the support team? It's support atrifs.com to contact the support team to get a trial. This is available only for paid subscribers of the base any base plan of light and above. Yeah. some people have left already. So their takeaways are there. Yes. The recording will be shared to you and then followup email as well as our uh YouTube channel. We always live stream all our webinars there. Um, yeah, I think that's it. I should have answered everyone's questions. Are there any more questions that people may have about Brand Radar? Hopefully, this gives you an idea about like what you guys can do next and you can try out Brand Radar for yourself and uh after watching today's webinar, you check out um if you find it useful, how you'd find it useful. Um and of course if you have um like to see more webinars like this. So a lot of our webinars are not necessarily tool focused. This is one of the first few that we're doing that are tool focused. Uh if you'd like to see more of them, we have a feedback survey at the end when you close this Zoom call where you can type in and say what other webinars you'd like to see in the future and that will be useful as well as any feedback you'd like to give uh on ways that uh what you liked about today as well as ways that we can improve. Okay, I think we're good. I think everyone has gotten their questions answered and it seems that uh people have enjoyed what we had to share today about Brain Radar. This this tool is just going to continue evolving as we add more capabilities to it. Uh and and hopefully um it will be more and more useful and you'll find it uh worth your money to to invest in uh buying Brand Radar for your subscriptions and for your tool stack to improve uh brand visibility online. Okay, so we're good for today. Uh thank you everyone for joining today's webinar. uh and uh look forward to hopefully seeing you guys in future webinars or checking out more of our tools and uh I hope that it's inspired some of you guys to contact our support team to get trials and maybe consider purchasing brand radar. Okay. All right. Thank you everyone. Uh I'll end today's webinar here today. Uh thank you and take care. Have a good weekend.