Win in AI Search using Brand Radar

We should be live now. So I'll go ahead and start the webinar so that everyone can join. Okay. Hello. Hello. Our webinar is beginning. Just have a couple minutes here. Let everyone join. Hey everyone who have joined today's webinar. Uh if you are in, can you please access your chat and type in hi as well as where you guys are calling in from so I can see if do you guys are Yep. There we go. Hello. Hello India, Bangkok, Southern California, Indonesia, New York. Thank you for logging in so late from New York. I'm I'm sorry. Uh I tried to do the webinar a bit earlier this time in the day uh to try and accommodate people from different time zones. Yes. Hello California. Yeah. Okay. Thank God. I think I was hoping to get some people from the west coast in the US as well for this webinar time zone. So usually I do it like six hours from now. Best time from Japan. Yeah, Japan. Japan is really happy with the webinar timing this time because it is during their work hours. So hello hello everyone that's joining in. Hope you are excited to learn about brand radar and if you have any questions uh as we go along here's how we want to do things. So I will try to cover the content I prepared today. So there should be a Q&A that you can access and you can enter your questions there. And after that webinar is over or like the main content is over, I will help to answer the questions uh in the Q&A uh one by one. Okay. So that's why what I will do. If you have if there's like maybe some like pressing questions or concerns about something that you see on on what I'm presenting, uh I may quickly answer that. uh but if it's like a like a general question or uh about brand radar about our platform or something like that I will answer that at the end so that everyone will get a chance to see the whole thing okay so uh if you are following along you can log into uh okay so for most of us I will cover so how I'll go about today's webinar is that I will cover like initially some use cases of brand radar that everyone should have access to if you have even just a starter plan. Uh and then I will cover some that require a standard plan and above and then I will showcase like different use cases if you have the brand radar add-on purchased. So that's how I go about things. Okay. So if that is good with everyone uh I will begin to share my screen. Share, share, share. So here we are today's webinar. a win in AI search using brand radar where I will be covering uh general points about how to use brand radar as well as um how AI search what we understand about um performance and getting mentions in AI search is here at hrefs and how you can use brain radar to improve that. Okay, I'd like to start off with some disclaimers though. As of today, most AI tracking tools are really not perfect, but they will get better over time. So, the landscape is still evolving. I think most of us are trying to find the best ways to measure and track what AI is actually telling people that prompt it. they're using what people are typing in what how AI is responding the different uh like platforms and assistants that are um taking over and taking or or rather gaining popularity as people use them and what sort of responses people get. Here's what we know is that we there's no um real demand data that's available today for uh platformers platforms like us to sort of present his insights to to you as customers. Um it's like I mean the nature of AI does make it quite challenging because like people can run things locally they can uh they have like private workspaces and things like that. These are all things that make privacy uh something uh that makes the actual real data people things that people actually type in hard to to to retrieve and all tools use synthetic prompts as a result of that. Um, so what we do is and like to help with that is that we we have data on what people search into Google like anonymized and uh like pulling in from like multiple sources. So as well as things like people also ask data and so we we say okay I mean at least they're searching them in search. We will put these and these are like real searches people make. So we'll put that into like chat GPT and perplexity and different platforms. to see what sort of responses come out. But again, these are still basically artificial and AI responses vary significantly due to personalization, different models um and and filtering that people do like pre-prompting that that um people can do like they really vary a lot. And I mean if you are using like different SEO platforms for for a while, you also know that even searching Google um will show different results if let's say you're logged into your account and you have cookies enabled. So this sort of like responses um showing different than what could we show potentially brand radar is like not a not really a new thing but just know that it's going to vary even more because now now we're not just talking about positions of rankings of pages but like just straight up AI can be saying anything right and um but we will we will try to see you know based on the case where prompts don't have any personalization what is like the bas baseline uh and attribution remains challenging. We actually uh our team actually pushed out a blog about this uh in regards to attribution. Some uh some platforms are pretty good at this where if you get clicks um from clicking on a citation made by AI uh your web analytics tool is usually able to pick that up, able to flag that and other tools or um other uh yeah other AI assistants basically don't do that. So you have no idea. You may suddenly get increase in direct traffic. You may not. Uh most of us probably experienced a dip in our um organic traffic. But not every website is affected by AI uh overviews or AI assistance taking over just yet. Well, bottom line is that while no tool is perfect, dedicated AI visibility tools remain your best option for now for us to sort of understand um how the AI landscape is shaping up and where your brand sits uh in in all of this. Okay, so let's move on. So let's start with the first uh sort of like feature slash use case here which is that you can plot trend graphs of entities instead of individual keywords. So I have here search demand. So if you don't know uh brand radar is available for everyone specifically search demand where you can check keywords uh like your brands being mentioned in keywords here. So for example, I think the example I put in it was Apple. I can look at some competitors here. Google, Huawei, Microsoft. Uh when I made this example, I learned about so many different uh phone brands that uh that are around the world. It's pretty cool. So I'll just add these for now. I think LG maybe. There we go. Let's do smartphone. Right. So if when I do this I can actually uh name add name variations. So I can like put in like misspellings by people. So like uh I can do this like Apple Inc. Okay. I can do apl things like that. I can put an iPhone, right? Because like we're all referring to the same thing here. And in this case, I want to look at the market for smartphones. So um unlike keywords explorer, I can look at like all um sort of like related keywords in my case as one entity and plot them on a graph. I can actually also do this for my competitors, but like for interest of time here, I won't. But that's something you can do if you want to do your research in brand reader. You can add the name variations over here. Like for example, I might just put Android, right? Because I think that's that's accurate. So let's well not accurate, but like that's relevant. So let's begin. Let's do the search. And once I've searched, I will look specifically at search demand because this is what is available for I think all paid subscribers here. And I can see how the search volume has trended over time for every one of these entities. Interestingly, Samsung really has been doing so what is this? This is the search volume estimates um the average monthly number of searches for queries. Okay, so basically any search query or keyword that contains the word Samsung or OPPO is like lumped together and then we calculate the search volume for for each of these for all keywords that contain at least one of these brands individually, right? So uh then we can see overall like how it's being searched over time and like interestingly you see that there's a bit more of a shake up recently where OPPO has come up on top instead. So these are good ways to to to spot trends in overall searches like volumes of searches made by people. Now let's look at queries. So queries is different. And so I want to see like if there's a jump in a variety like maybe there were points of time where there was like a jump in the number of that were searched um containing that uh brand in the the search query. So it's hard to see here. Maybe if I take out take out Samsung here. Can I see something different? Uh not at the moment. But yeah. So, so but like this is an example of how you can see if there are changes or uh patterns of which like people suddenly started to see like search in more variations containing specific entities or not and of course after you see a graph like this you can also see cumulative but in this case I think it's not so relevant cumulative is just like is just like if you want to see the graph in a more additive way over time it will be relevant for some use cases but I think not in this case but let's say we can search for all search queries here and um this now is looking very similar to what search uh keywords explorer can do so you can filter now for for particular queries you can filter for keywords that were seen like maybe within a custom range or maybe just now we want to see keywords that were like those that spike in 2020 so I can do like 31st August 12, 2019 to 1st or 2020, right? And I can see if there's like a particular jump and look for uh keywords that were first seen during this time to see if there was anything any patterns that were like interesting about this time. Uh, I can filter for search queries that include like that one second that contains so in this case I'm Apple. So maybe I can say it doesn't or it contains uh and or Google but I can say it doesn't contain smartphone or maybe I can say it doesn't contain flagship something like that right so I can stack these queries like this and I can see that like a lot of searches I usually being made about specific products, things like that. So, basically this part here where you can see individual keywords, it's like it's very similar to keywords explorer, but you can like stack rules a bit more uh effectively here to look through the queries that shown up in the keywords uh the keywords visibility graph that you saw, search demand graph that you saw earlier. Okay. So of course then in this case also I can filter for different countries. Uh later on with these other indexes you'll see that you can actually not select a country. You can see for the whole world but in this case I think we've stuck to just you can only search on a country byc country basis. All right. So what that helps you do basically is to really see um how it's like a really visual way of understanding how sorry wrong page here um how different brands are searched over time and then you can and and like the useful thing being that you can lump together like different search keywords used for particular entities and really see how uh the it has trend over time. That's uh that's something that you can do here in search demand. Okay. And here I mentioned earlier so look for seasonality and anor anomalies. Uh turns out just now when I searched for you know smartphone related stuff it seems to be rather evergreen. There's not a lot of seasonality here. I did a search query for chocolate brands which is always fun. Uh and in this case actually there was a lot more seasonality. Yeah, there you go. Search volume seasonality uh that you can see and this is predictably during the festive season people buy more chocolate. Uh so like this is like a good way of verifying that. But you can see that there's also like a jump here in like March. Uh, and I believe this is probably like coming to either Easter or or Valentine's maybe that's why you see a bit of a jump here. But yeah, so you can see that these are these are like ways of understanding like as industry as a whole once you put in like multiple brands of chocolate uh what how people are searching for them. This is like a lot harder to see uh like in keywords explorer where you can only see like like this data like one by one. So this is something that uh brand radar can help you do for keywords. Similarly here I think I entered in multiple entities like nama chocolate I put in here as well. Yeah something like that. And uh I think there's also one use case that I think I should mention while we're here is that you can let's say I want to uh where's where's the I had it I had it set up earlier. No. So you can search for that don't include doesn't contain all my competitors. So I'm going to quickly write this out here. Actually no. Uh this is for a different use case. Sorry, I I will come back to this in a bit. Uh let's move on. So this is for search demand. So these are the quickly the things that you can do in any like plan here. Uh the next part I'm going to go into is web visibility. So this is being able to use brand radar to see mentions across uh our entire index of pages that we have uh crawled on the web. So this is very very similar to content explorer but content explorer is like there are more features here than in content explorer. Uh Ryan yeah I mean we're currently live streaming this webinar on YouTube and then the recording will be left there for you to watch later on. So this if you want to uh use brain radar web visibility you require standard plan or higher uh which is also the same uh tier that you need to access content explorer. So they're just like paired together here. So one thing you can do uh is to analyze your links and brand mentions around the web. So this was something that we already provided and that turned out now to be even more important in the AI uh chatbot and search age where mentions on other websites and how they're being mentioned are really important for your brand or your website to show up in uh AI responses. So what you should do is that you should search up your brand go on web visibility and you can see what are the pages that are there um that where people where other brand other websites that talk about your brand. You can update any outdated or incorrect information so that you know AI stops taking in uh turning the wrong information to spit back out as responses. You can also find potential opportunities to to form partnerships with websites that like to talk about your brand or companies in your industry so that they you know you can say you can get to know them as well as see if they can give you more shout outs to see uh what are the reasons that they give more shout outs to or that they write about your industry and or likely they're writing about their your competitors too and you can see like hey why are they writing about your competitors but not you. You can also use this to assess the general uh brand sentiment uh that people have when when mentioning your brand and and as mentioned earlier I think the main thing is co-mention. So like are they mentioning your brand alongside like for example if you are Norface are people often mentioning like your fluffy your puffy jackets or are they mentioning like shoes uh more alongside your brand? These are the things that are more likely to influence the kind of responses that AI makes or or choose when to mention your brand when people ask specific questions. Like they maybe they your brand is more likely to show up for a particular category of products. Uh because all the co-mentions are like tuned towards one particular product than the other. Okay. or like maybe you're a sustainable brand uh but maybe you you're on sustainability of like or and then you don't your brand doesn't get mentioned in like uh fair trade or something like that right so these are it really depends on where around the web your brand is being mentioned how it's being mentioned so let's look into that very quickly uh let's clear this I'm just going to put in hrefs for now and then the brand and I go into web pages. So I can see all the pages that mention HFS here. I can look for uh pages that mention my competitors. So how to do that? So if you click on the question mark here, uh it supports like an advanced search actually. So, it's not just like putting in one phrase. You can actually um add on like you can search for particular sites, you can search for content by particular authors or have something in a title and stuff like that. Okay. So, uh in this case, what's a good one to do? Let's do pages that mention hrefs. Uh, and also a backlink checker because that was like where HF started with. And maybe I want Sorry, one second. I want to basically not have our own website show up. There you go. So now I can look at all the pages in the web that mention HFS uh that also mention backlink analysis but like are not from our own website. And these are all different websites that I can check out here and different pages. Some by our competitors, some not. So like you can see basically what the titles are and I can go look into its content and stuff like that. Uh and see and like just at a glance here I can already see like what is the what are the co-ment mentions where like people are saying it's great or like this tool is better it's a dominant tool it's not a dominant tool you know these are all sentiments that I can analyze and for any that like I find maybe they're questionable I can also like actually filter by traffic. So maybe we want the page traffic to be at least a thousand. You go. So that really narrows down the number. So many of these pages actually didn't have much traffic at all going to them. Uh I can go through this and basically look at any that like have uh sentiment is not good. I can read up and like read the page and see why they've said that. maybe reach out to the author and say, "Hey, uh is there a way that we can like uh improve uh the sentiment or like any if we fix certain problems um could you change your review?" Something like that. Okay, this is the outreach. This is basically your way of like finding who you can outreach uh to. I mean, you should not like lie, I suppose, but you can outreach to these people and understand why they have a either neutral or negative sentiment when talking about your brand and see how you can either improve your own product to change that or work with them to like correct any like misconceptions or errors when they wrote about to buy your brand. Uh, publish frequency for multiple entities at once. So this is just like a cool thing you can do uh while you're at um web pages here. Web visibility. So if we go over to web visibility, let's put it like a number of competitors here. I just asked AI to suggest it for us. You can see uh like this is basically published over um like results that we see that mention the entity at least once. Some of these pages can mention more than one entity but you can see like um across the web what uh traditionally dominated uh the industry until later on. Right? And I mean if you would like you can also see this on a cumulative level to see how um these pages changed over time that mention different brands. Uh basically lots of pages would talk about mods for the longest time. We can also do it based on like pages that contain traffic. So like despite the number of uh pages that contained uh certain mentions, not every one of these pages had traffic. We can use this view to see which pages actually had more traffic like which brand uh had more mentions to pages that u were receiving organic traffic over time. Okay. And then similarly we can do it for links. So if you're building back links uh which I mean so far since people are still using Google to do searches uh like the work doesn't stop for building backlinks. So like understanding which pages uh driving uh which brands are getting more referring domains over time also matter. So this is a tool where you can see which uh brand is uh like leading ahead. And of course if I want to drill down I can click on this and filter all the pages that mention moss. All right. And like similarly as before I can do uh in this case I want to remove moss.com. So these are as a general view. This is what you can do. Check all the off page off-site mentions of your brand or your competitor's brand and see um if there's opportunities like hey are these pages talking about my competitors but not me and why. Yeah, in this case since there's like so many results, I would also probably filter for page traffic to have at least maybe in this case thousand just for today's example. Okay, so 34 million to 4,000. So a lot of these pages really are not getting organic traffic. So like I it would be e like more better use of my time to filter down for pages that are actually um getting organic traffic here and seeing how they're mentioning my competitors or me. Okay. So this is how you use uh web visibility part of brand radar. Now let's go on to the AI visibility section. Okay, let's start with like the the core uh use case here which is to do competitor benchmarking and brand gap analysis. So if I put in like let's go back to our chocolate example here. I like chocolate you know makes a good good example to um run here at brand radar. So if I put in like let's say my brand is Royce chocolate but there are many competing brands over here. I can see that overall Royce has a very low share of voice. So, so it's basically taking um what percentage of mentions are for my brand versus uh like responses AI that are mentioning competing brands. So over here my slide shows you all these like bars here. So you can hover over uh one sec. You can hover over and see um how a brand is in in the AI mentions. In this case we are looking at AI overviews here. Um that this is total across like all brands and then only with um brand lint. This is blend plus other brands together and white is other brands. Sorry. Uh this is like like basically it doesn't mention either you of your competitors I believe. Wait, wait, wait. No, no, no. Uh this is sorry. This is uh responses that mention competitors but not Lind. Right. If I click this, they should confirm that. So, if I quickly click on this, it already uh Yeah, Robin, you require the uh brand radar add-on. You need to purchase the add-on, but this one is for AI overviews. Yeah, but you can still see how it works. uh especially if your uh keywords if if the websites that you have if they're ranking for lots of keywords that generate AI overviews, it's really uh useful to see what is dominating like the the brand perception or the website perception of your of your business. So it already yeah use in a useful way like created pre-filtered all these like um created all these filters for me and so how how you understand this is that basically queries and response so keywords and AI responses that don't contain my brand but contain my competitors. So that's how this filters work. So there are 5,815 results that do this. Okay. So you can see that like um just very generic keywords already do not mention my brand but also interesting ones. Oh this is very interesting response. Huh. So these are all like like the this just even um assessing the individual keyword and uh AI responses gives you ideas on areas that you may not be considering when you create content or look at like off- page mentions to create content around like you know uses for for chocolate. Sure, of course they're used for wedding, but like you know how how often are you making content about uh how to go about creating guest presents and and ways to go and like you know what are good for certain things and and not for certain things things like that. Okay, so these are as as expected chocolate for Valentine's Day. Uh but you can see that um not only can you see the responses and how they're talking about different brands like classic and popular choice. Oh, but this is luxury. So then go diva is being mentioned. Uh but like even though this keyword is um being searched in Singapore, there was the pages that are ranking at the top don't see I think this one is Singapore though but uh but these two are not these are like I think based in the US. So there could be opportunity for you to create like um localized pages that answer this question more effectively. Uh Kandan asks are these responses exactly as they appear in AIO? Uh yes. So okay but let's let's be clear about one thing in a empty search without log without anyone logged in if you type in a particular keyword. So the keyword is typed in in that country uh that we see the keyword is from. So we put that into Google search and if AI overview shows up we save the text and we we we save the text on the day and then we we show it to you guys here as well as like what links were cited during that time. So that's how it works. Yeah. um Reddit. So that's a good like segue to what else you can do with this AI responses. You can look at like cited pages right here. And let's say I want to filter only for uh [Music] let's add a rule here. I want the domain to contain Reddit. There you go. Okay. I was not I was not uh complete enough. It has to be domain contains reddit.com. Um, okay. I think it's or and and and or or duplicate here. Domain. Okay. Sorry, I need to figure this out in a bit. But we already see um Reddit pages here. So now you can see what responses are. for example, uh, and like what keywords and then like what examples are having Reddit show up, right? This is a bit questionable. And so, let's look at like Bay Area gift ideas to bring from California, New Yorkers. So, like what are the why is Reddit being uh linked here? Like why AI is picking this? you can see that it's for queries that's specific to unique gifts from California, California, what to buy and and stuff like that. So, it's a good way to say, okay, this is like a place where if it's specific to locations or like uh particular festivals or or like causes and things like that, AI is more likely to choose Reddit than what was previously being used, which is mainly Wikipedia. Let me check something here. Yeah. Uh turns out that if these keywords about gluten-free seems to trigger both uh one particular brands No, but because they're talking about particular brand, Reddit seems to show up. They're asking specific questions about like um how like whether or not chocolate is gluten-free. So like these these questions so you can see that like people um AI is choosing to pull not only from like the main brands website but also Reddit. Yeah. And other seems to be other like gluten-free related key um pages as well. And so this is insights that you can see uh and filter for once you have uh our AI um AI index purchased here for brand radar. Um, let's move on. Oh, yeah. So, we sort of skipped ahead here, but it's find the top pages and formats of AI sites the most. Uh, I believe if you use a different example, you may also see it's not just like things like Reddit like you can also do things uh you can also search for YouTube. Yeah, there you go. YouTube like often is sometimes a source or even like Wikipedia is a source, Facebook and Instagram. So then the question is then like uh what are the responses that um that that trigger AI to use YouTube as a source? And you can quickly have a look here. You can see actually um a query as simple as hot chocolate companies. They seem to like they're using a lot of like videos. Yeah, I see video video and then Reddit here where where um people are doing like chocolate reviews, taste tests with like different brands and they're choosing to use that as a source. Yeah. Rankings of brands here. Videos are popular. Wow. In this case, there's so many links that are being used. Huh. So, this is something you only know if you have uh are able to see like the the saved in a tool like this to see like what are the number of uh links that can be cited in a particular response. It's not always like three or four. Yeah. Best chocolate for dipping strawberries, chocolate bar sizes over the years. These are these are queries that tend to trigger YouTube videos to be used as sources. So that's like something that uh you can see if you're using it for your own brand to understand what are the formats that are important and like which queries related to your industry not even your brand like even your industry where the video format's more important or a post on Reddit or Quora or Wikipedia or like in this case Instagram let's have a look right pronunciation short videos are really good for pronouncing particular particular keywords and uh it might be obvious to you but like then you can see if AI is also choosing to pick uh uh in this case Instagram as a source. Yeah, short question short answers. Yeah, there you go. Okay, so this is like one of the ways to understand if I want to show up or be cited more or have my brand cited more in AI responses, what are the different formats and kinds of pages that uh my brand needs to be there and and using this research you can see not only like the kinds of pages and domains and the formats but also um like what is being spoken about. So if I on these pages, so uh in this case, let's take out the filter for domain really quickly, right? So you can see at the very top here, yeah, like the the main page for these brands are being used being like uh cited the most. Uh but lower down you can see things like um specific products are being used. uh product pages as well as uh specific blogs related to gluten-free or like for different locations and stuff like that. So, it's being picked. So, here we can see it's basically umformational um articles but also um blogs that answer specific questions about uh food restrictions or uh gift ideas. Okay, they're they're going to be linked more for this uh for this uh market niche or category of or mentions of these products. Uh let's move on. So like over here on every slide I have I will be sending the slide to everyone these slides to everyone. Here we have um some helpful resources that I put on each slide that like once you have uh some of these pages they have in mind to say okay like maybe they're good candidates for also including I can write to them to want to include my brand. We have guides on how to do uh link outreach or let's say it's uh pages of your own uh website that are being cited more. I can use you can then follow some of these guys to say how can you improve uh its citability by AI like the chances of it getting cited by AI and in what context. next one. Uh compare multiple verticals for the same brand. So this is sort of like a uh roundabout way of using hrefs uh uh brand radar. So I think it's this one here. So what I did instead of putting my brand here I put it as the market or niche and instead of like putting actual competitors I put in different like aspects of tools we provide. So yeah or like at least um areas of marketing that we are known for SEO being the most but also we now as of this year provide like a tool for web analytics like we provide data for paid search. We as of this year we also provide tools for social media. So the question is is that um for my brand in these areas where am I you know most dominant in and how is that changing over time? This is something you can answer with brand radar. So I did a search like that. What else filter for? Yeah. Okay. Uh queries that contain hrefs. Uh but in this case I did the search. Unsurprisingly, we are mostly known for SEO, but you can also see here that like there are mentions of social media as well alongside HFS. Uh, but let's drill down to see what these uh mentions look like because it's likely that it's answering a question about general marketing where it's mentioning tools like HFS, but also tools that provide like um analytics with social media and things like that. But you can see that um basically this gives me idea based on my brand where it's being like what are the other like areas of marketing that I'm getting co-ions alongside. Okay. So let's drill down to see more about that. View AI responses. Then for I want to filter for responses that contain social media and uh response contains HRS. Here you go. D uh it's not bolded here because I did not put HS as a brand but you can see HS does show up. So I can see like what are people searching where even though or like let's say I don't want it to let's say I don't want the query to contain SEO. This is more interesting because uh There you go. Competitor tracking. So this like so okay search for competitors. So basically when when people are searching for these like category of uh of keywords they're looking for like understanding your competitors um it's basically spotting out a number of different tools you can use here and Hos does get mentioned and I can see what is how it's being uh mentioned alongside my competitors. So this is very useful and then of course here I can see what are the links is being uh referenced here to to create this response. keyword revenue tracking. So competitors so like you know in spite of that social media just does get showed up a lot uh when referring to competitors. So like this this means that I should also look into what these pages they're being cited how they're talking about hrefs and perhaps some of these are good candidates to update them to say hey you know we provide more than just backlink uh and content an analysis these days right this is something that like we can do as as hrefs and like this is how I would use this report to understand the gaps of which uh our our company is being mentioned and then improve that so that we show up for more than just SEO alone. Uh let's go back very quickly. Yeah. So like this is what I do. So like I can also give another example. Uh let's do like a live example here to see like um how it shows up. Uh can anyone um share with us their industry and we can like perform a live search here to see to to see a good example of in the chat? Anyone? Anyone? Don't be shy. operational consulting move or relocation service. Um, just because it's I'm going to pick one that like I'm a bit more familiar with. I'm sorry. I'm going to take Ashisha as an example here. I'm going to do home tutoring. So, let's do like home tutoring. And then in my competitors, I'm going to put in math, English, oh maybe even Hindi, uh let's do like chemistry, physics, calculus, etc. Right? Fingers crossed this should work. So now right so now I can like I mean in this case I'm not filtering for any country in particular but now I can see u what are the mentions over time overall not that many actually uh that's interesting so let's if I make this more generic let's do tutoring home tutor is that better slightly better okay something you can like tweak around or like let's do tuition sorry okay yeah there we go so a lot more this time so surprisingly that means to me English is quite high uh I can by the way I've not shown this but I can also select for different modes here so let's uh in for let's in this case just go with like chat GBT uh you'll see that for uh indexes like chat GPD and perplexity and copilot these are monthly data that we have because we basically take all the keywords and like people also ask queries in our database and search once a month over like hundreds of millions of keywords and we search it once a month into all these different indexes. So we get these data monthly. Okay. So overall we can see that the but the insights is still the same. We see that like Reddit is being uh like referenced here. We see that different like business websites are being referenced here. So that's concerning if you are like a tutoring business. You see that like you don't see uh tutoring websites being cited, right? You see Business Insider, you see the Guardian, you see uh websites about starting a home tutoring business and stuff like that. So, so like if if I were a tuition business, I may see like, you know, at what like angles of content will AI more be more likely to reference uh businesses that provide tutoring services or home tutoring services uh compared to all these like uh news websites. Uh Misha the the this uh this webinar will be recorded and be on YouTube after this after it ends today. I mean just for the cases of this example I might even just try to do home tutor again and see if there's an improvement. It might tuition and home tutor might be different like maybe there are more industries more like established businesses versus Yeah. Okay. Still Reddit. uh still um Wikipedia being used more, right? Still news websites. So like so far, but I think we're starting to see now like um tutor websites being being uh referenced in responses. let's pick this one here. Oh, in this case, this query is from India where people are looking for home tutors. Uh AI is spitting out prices per city which is very interesting and for different um like uh less like different uh prices per city, different uh grades, different subjects, stuff like that. And it's referencing different uh insights from Reddit. So it mentions here it's using from Reddit. So even some helpful advice about like if you're looking for a tutor like this is what you should be looking for. So on your websites or in your brands are you mentioning like answering these questions that people are likely to ask and and like formatted this way. Is your content answering these questions? Because then AI is going to be pulling it from others that will. And you can also see too like maybe And there are certain like subreddits that you may need to monitor or be more active in um to answer questions people might have about tuition. Uh Rex asks, "What's the difference between searching my brand name using query filter using the brand column?" Uh you mean here, right? This putting in your brand. So you put in your brand here if you want to prefilter all queries. Uh well I think mainly it's so that you can plot a graph. So yeah, you're right. Like if I don't uh if I don't like let's say if I kept this empty here, right, and I don't have a brand, uh I can go to s uh the AI responses here and I can just filter for my brand here, but that filters that that only does a filtering onto the search queries themselves. It doesn't plot a graph. So mainly you put this here to plot a graph so that you can see trends over time. So any like if you put in either your brand or your competitors here, it will plot a graph. Okay, I hope that answers the question. But yeah, you can like I mean I can just do for example I can clear this and I can just search all like um everything like our whole database of like AI overviews for just home tutor and I can go straight to AI responses and like start filtering maybe for particular text or like for for particular keywords here or I want citations to come from particular URL. So maybe I want URL to contain uh let's say YouTube.com. How many of these uh responses? Okay, so there's three responses that uh AI has AI overviews has chosen to use a video business ideas. Okay. Profitable ideas to start a business. Business ideas. There you go. Okay, hope that was useful for everyone about how to use Brand Radar and how it can be used to get insights about uh what you can do to uh improve your your brand's mentions and therefore improve your chances of getting cited by AI across different uh sources here. So for some of businesses it may matter more to just uh rank for one source versus other sources. But like maybe if you're a bigger business or if your business uh carries products that have very strong brands and then the other ones of these indexes might be important to you. Oh yeah. So this is this is the the example I was mentioning earlier but I suggested it too early. So sorry. So let's let's give an example here of how to do things. So earlier I was like talking about chocolate, right? And I wanted to filter for AI responses that don't contain my competitor. So it only contains me and not my competitor. Uh so the how I have to filter this is actually I mean the fastest way to do it I think is here. So I go to roy chocolate and only brand. So if I want to look at ways in which so this what this means is that this is an like a corner of the market that Royce uh chocolate dominates where no other chocolate brand seem to be mentioned or at least none of the ones that added his competitors here which in this case you know supposedly I care about. So it's for basically tourists in Japan that want to buy back gifts. what to buy in Japan. You see that there's like, you know, Royce Tarp is mentioned. Uh yeah, these are basically gift ideas from Japan, gift ideas from the airport. Uh as well as like locations to buy this particular brand and stuff like that, right? So this is like a very small corner in the market in which you dominate. And so this would be ideal to say can you test this concept to dominate other markets if you want to grow your market share. Uh so this is one way to say like like this is areas of which only my brand of chocolate is being mentioned. Yeah. Cheap things to buy in Japan, where to buy, what is this concept about things like that. Uh and now let's say I want to do something more generic. I want to put in my market as chocolate and and I do explore here. And then I clear this. Oops. And let's say I don't care about Royce chocolate being mentioned at all. So, I want to look into uh keywords or like queries that do not contain my competitors at all. Um, in this case, my competitors being the five brands that I put in. You can add more to this. Actually, you can add many many brands into this list if you want to to like to say which are all the brands that I do want don't want to see get mentioned because what that shows me is in my industry here, which is chocolate. What are areas that um potentially could be like uncompetitive that maybe I there are opportunities to to create like dominance in a uncompetitive niche, right? In this case, it's like things like uh well in this case it's like protein shake flavored and stuff like that. But this is the but you can say things like you know specific locations, specific kinds of uh chocolates that are not covered by these brands like chocolate types and not covered by these brands. Oops. Uh, anti-inflammatory foods. So like um so basically these are areas in which you can observe opportunities for. This one is interesting because you think that mocha is like a very in United States is like an area where some of these brands would have dominance in but in in this case it seems like there is not. So yeah, so this is the way like uh you can find maybe opportunities to like let's say if your brand in particular does not have many mentions in general. This is a way of using brand radar to find more opportunities to grow those mentions by going into different like niches or industries that are not dominant by your competitors. Uh so yeah I have one slide for uh tips for smaller brandsmemes because um brand radar can be a bit pricey if you're like a smaller brand. So how would I use brand radar effectively uh when I hardly have me any mentions for my brand? So there are a few examp like there are two examples that I can cover here and one is that you are a small brand in a crowded market. How I go about it is to search brand radar for your competitors and then look into areas in which they are not talked about like you know either neutral or in a negative sentiment. So like this is something you can filter for for example uh let's go back here um back back. Okay here we have this part called um topics. So this is something that very recently came out, right? Um okay, I have to clear all of this, huh? Weird. So basically all the AI responses are grouped based on their parent topic. Uh, and all of these basically helps me sort based on I know there's like, you know, still quite a number of results, but this is a lot more. This is a lot less than like hundreds of thousands that I can filter through to see are there um areas in which um my competitor's brands are being mentioned in a positive or negative way. And so like this is potentially like a negative thing, right? They talk about like which are the brands that are oh, in this case they're high in lead. So are there opportunities to to get in where maybe your brand uh has an advantage over uh like the big brands out there? But this is areas in which you can look into to create content around or create offbrand offsite mentions about talking about the benefits of your of your products that are in counter like direct counter to the negative um aspects of your competitors here. That's how you can use that to do research. Um, brands of your products are stronger than your business. So, this is like if you are a retailer or you are a service provider uh that maybe installs some like very well-known brand but your company itself uh doesn't necessarily have a brand name then you can use brand radar for your products, brands or items, right? So, I think the other day so like I think like a good example would be a retailer. or maybe in this case like um earlier there was a guy let's I think earlier there was yeah so let's take the tutoring example again so like I think there is I'm not sure about this but like let's say like you're nobody may know like you as a tutor or like your your brand that provides tuing services but they would likely know about the exams right So you can put in like uh exams that people are studying for or people need um tutoring services for or like to get into particular schools in in the in the place that you operate. So then you put these as mentions here and then uh then you can click explore. I'm giving example. I'm not sure what they would be for for your for your country but like this is something I would do. Okay. Or even SATs, right? SATs is something that people know. Uh and then GRE and then maybe in here you're looking for a tutoring. All right. So that's how I would go about it. Okay. A lot of these are mentions of how to make money online. So uh then how I would filter this is basically to filter topics that don't include make money as well as side hustle and small business. Okay. So, I just want to look at like the queries that related to people looking for tutoring about these. I think I still have to filter more, huh? Yeah. Okay. Currently I'm learning that there's a lot of people looking to be a tutor as a as a business in like I think in India and stuff like that. Uh but that's how I would go about doing searches like this where where this will be where this will be mentioned. Ah okay this is the problem I have to do GRE exam I think let's see if that works anyway so um this is an example how I go about things okay and that is essentially it for the webinar I think I saw that one person asked a question or five people asked a questions. Thomas asked, you mentioned earlier that this is available even in starter. Uh you see everything is upgrade to unlocked. You should be able to see search demand. So if you go into it like all of these will be locked except for search demand if you're on starter or or higher. Okay, if you click on this one, you should um like it should work for you. Let's get rid of this. I think the overview is still available for for uh at least search demand and web visibility, but this would be locked. Yeah. So, I hope that answers that question. Now, okay. If you still cannot access search demand on your light or higher or uh starter or higher plan, please reach out to our support team. This chat with us here and they can help to make sure that you can access it. Uh search demand is in uh Google. This is uh Sid. You ask questions about the search demand in brand meter meet demand in AI engines. We just mentioned it. This is for uh search demand in Google. Uh why does it matter? Because like for example, if there are trends or like questions that people are asking about particular products or areas or industries um like if we take one step back, they are also more likely to be asked into search uh into AI chatbots. even though like they will not look the same but the intent behind it will be similar like people are still looking to buy chocolate or find tutoring services or start a home business. So like you can see based on certain queries whether or not uh I mean on on search demand queries here uh whether these are things that people are more likely to be searching about and this is something that will happen also in AI as well. They may they may take a different form if people actually use AI because I mean people typically typically uh use AI chatbots differently to searching Google though that might change in the future but the intent behind it is people are still looking for tutoring they're looking for tutoring jobs people are still you know like uh looking for tutoring specific to particular grades or or exams and things like that. So by using the search queries in brand radar, you get to see a general feel of like how popular a problem like this might be and whether or not a seasonality and whether or not um they are they may they're related to like more local uh or they may be specific to spec like conditions or for certain subjects which is more which is less people looking for online or in person. So search queries are still important for that because that relates to what people are trying to find answers for. Uh what are the plans to add the actual pro prompts and LLMs are delivering back together with sentiment and brand recommendation? So this question by Thomas Wolf. I feel the search queries are very search engine SEO way thinking rather than JNI or genio. So I will go back to this first slide. We don't have a good answer for how to get actual search volume made by people because uh getting this data is very difficult. Most of the time it is like locked behind like either privacy or like it's not being shared uh currently not yet being shared by like open AI or or Facebook stuff like that. As long as this data is not available, it's not something that we can provide. Uh so we so what we currently can provide is because we do have data anonymized data about how many times certain keywords are being searched into Google. So that's what we provide and then put that in. Yeah. And also there are questions like um like if you want you can actually I think it's possible let me just search yeah you can search for like queries that that contain like why why things like that like certain keywords that are related to asking questions you can enter that in and filter out your filter your database of uh keywords that are more like queries that are more related to questions and likely to be longer and those are you know have a higher chance of mimicking the same way people would search in uh AI chat bots and stuff like that but yeah uh and also AI overviews show up when people search things this is in AI mode as well so people are searching in Google anyway for these to that are related that are that and they just show up as like a snippet and this shows up as like a mode when answering people's questions. So uh I mean it is very so like when we provide search queries based on what people search in Google already it's like close in this case but that's only for those two indexes. Okay, hope that answers the question. Uh, if my brand is mentioned without bank links in a guest post blog, will it help some authority on AI on those topics? Um, you got to see if AI is mentioning it. So, I don't know. It's hard to tell. Um, you would have to look into what people what if you enter in a query what um AI stood out. Is it mentioning your brand or it's mentioning or is it linking your blog? I would search for like an industry and then or not search anything and I'll filter for like cited pages to see whether or not your blog shows up. In our research, we see that um AI can take pages that don't rank in the top 10 as part of a citations for providing answers. Um so it's not necessary that you have to rank in the top 10. Although a lot of times they do take uh results in the top 10 and site those and use those to generate answers. However, the only way to know is to use a tool like this to see whether or not pages get cited or not. Yeah, when you when you type that in. So, I hope that answers your question. Uh this person is anonymous whoever asked this question. And the last person asked is about branding. So I'm not uh I'm not sure what question this would be at DT. So maybe if you can um share more information about your question that would be helpful if you are still here. And uh while we wait for Aditia to share more about her question, uh maybe if anyone else has questions, you can still ask that. Or if you have some request to see any particular interesting thing in Brand Radar, like now is your time to make a request. Don't be shy. anyone at all? Okay. Um, so far no questions. Anyone has any questions about HS in general? If you'd like uh to ask anything about our platform as a whole or maybe other tools, this could also be your time to ask questions. We can help with that. Kalpesh asks any general guidance from where to start to improve get listed to appear more in AI results. We pushed out one mega blog about this recently and this AI search. There we go. Complete AI visibility guide for SEO marketers and site owners. Here you go. palpesh. So this particular blog basically sums up like how AI like what we understand about AI visibility like who should care, how it works, how to track and the last one being basically optimizing for AI search. there's some tips and tricks on on what we understand can help to improve things. Okay, there you go. So, for example, things like build third party authority, show up on more um like other third party websites, not just your own, focus on high citation content formats, best top lists versus comparison guides, product service pages, clear factual descriptions, uh well formatted pages seem like based on our research of what kind of content types generally get cited by AM more often. Ultimately, although this is general case and like you're probably safe if you don't have any like if your website doesn't have any content that looks like this, you can start with that. But you can also reach us to see if that is true in your industry. Maybe other content uh content types are more uh critical like uh social media, YouTube, things like that. Okay. as well as uh things compared to traditional results, AI assistants tend to favor fresher content. Okay, so anyway, so this is a definitely a good guide you can like look through to see um how it can help you improve your AI visibility alongside like some of the the tips and tricks that we shared here today about how to use brand radar and other tools about that. hi Benjamin. Pricing model allows more features to smaller companies 700 per month. I think you're referring to the entire index purchase. So if um if you are not able to afford purchasing the entire AI index, we sell these separately. So you can for example just purchase like brand radar for AI overviews or AI mode something like that. Uh and why this might be useful is because unless in your industry like people discovering your brand, people discover your brand or uh use different chat bots more for your industry like copilot. I think like it's more related to business related or like people like customers that use Microsoft more will be using copilot more. Uh but for example, AI overview shows up for everyone that searches in Google. So like basically there's a lot more data that you can look through and more likely to be uh seen for an AI generated response. So you can just purchase this one. Okay. So this is a suggestion but uh and we have um I can share coming soon a way to track custom queries. You will not get access to like the millions of keywords database across time that we have provided at Brand Radar, but you will be able to track custom queries into specific tools and that would have a different price plan compared to this one. Okay, so that one might be more relevant to your business later on, but um it'll be out when it will be out. Okay. Uh anyone has other questions? Benjamin again asked is there any pricing model and miles more features to small companies. Uh we have provided like what I can only share is what we provide is available on our pricing page. We don't offer anything outside of our pricing page. So, anyone has any other questions? We are over an hour now. So, um now is the time to ask any quick questions you have about either Brand Radar or about our platform as a whole before we before we end. Uh if there are no questions then um I will quickly show our last slide again You can see a lot more of our brand radar use cases in this in this blog as well as do check out uh the blog I shared earlier on AI visibility if you want a more overall approach to what we know about being having your brand or your website more visible more cited by AI. what are the factors that we see that play a part as well as steps you can take to be more visible uh in AI responses. And if that is all uh thank you everyone who has joined today's webinar. Uh there will be a survey that gets uh prompted at the end when you close this webinar. Please, we do appreciate if you can fill it out to see how we can improve webinars moving forward either around this topic or maybe suggest future topics that you'd like to see being covered in webinars and we'll do our best to uh cover those um and they'll be that would help us improve the content that we provide to you here. Otherwise, um I hope that everyone has a good day and hope to see you in the next one either in upcoming webinars or even uh at HS Evolve at our conference at the end of the year. Okay. Okay. Awesome. Thank you everyone. Uh we'll see you and take care and have a good uh weekend ahead. See you