Name: AI Visibility for Ecommerce
Uploaded: 2026-02-18T19:16:08.880Z
Duration: 59 min 16 s
Description: AI Visibility for Ecommerce

Transcript for "AI Visibility for Ecommerce": What's up, everybody? We are gonna get started in a few minutes here. Super excited for this session today. I'm gonna bring on here. Yeah. I brought you on stage too, Hey, Dylan. Dylan. Perfect. Alright. Also, too, let us know where you're coming in from. We love to see where at in the world that everybody is watching these webinars from. This is gonna be a super fun session on all around AI visibility. We're gonna talk about our product. We're gonna be joined by some super awesome agency partners. Looks like alright. Wow. We got London, San Francisco. Dylan, where are you coming in from? I'm gonna throw mine in the chat too. New York. Dylan's in New York. There we go. Looks like we have people in a ton of different countries and countries and, states. Alright. Awesome. We'll give everyone, like, a few more minutes. There's a lot of people rolling in right now, so we'll get started in about a minute or so. We should have played some elevator music, Dylan. That would have been cool. Oh, we have another Ohio. Let's go, Lisa. Alright. Awesome. I'll I'll kick it off high level, and then and then we can dive in deeper. Alright. So as as you guys can see, we're gonna cover AI visibility today. We're super excited for this session. We know that AI visibility is a very hot topic in the market, and a lot of of brands, agencies, and and all sorts of people in the ecommerce space are really curious to learn more and to really understand how they can be, dominated in this area. So today, we're gonna cover an overview of AI visibility. We're gonna talk about the concept of AI visibility versus SEO. I know that's on a lot of people's minds. We're gonna jump into our product. So we launched our AI visibility product, the only free AI visibility tool for ecommerce brands a few weeks back. So we're gonna show you that. We're gonna show you a real customer example of this product fully set up, and then we're gonna be joined by some awesome agency partners from Elk Marketing in the second half. They're gonna talk through some really powerful strategies and best practices that they're using with their brands. And then at the end, we'll open it up for q and a. But anybody can ask questions throughout as well, and we'll answer those questions as we can in the chat, and then we'll answer them real time at the end. So here's the host for today. I'm Ethan. I'm on the product marketing team here at Triple Whale, joined by Dylan. Dylan, I'll let you introduce yourself real quick. Hey, everyone. I'm Dylan. Seven or eight months ago, I I started a company to to do AI visibility, for ecommerce brands. And then three or four months ago, that company joined TripleWell, and now I'm here at TripleWell helping brands do this full time. Yeah. We're super grateful to have Dylan on the team. He's heading all things AI visibility here, so it's gonna be an awesome session with him. And then in the second half, once we dive into a product demo and and show an example of a real brand, Steve and Chris from Elk Marketing, they're gonna hop on stage, and they're gonna inform us with some knowledge on how they've been thinking about AI visibility and SEO with their brands. All right. With that, Dylan, we can jump into some of the next slides. Awesome. So, at the core, AI visibility is really about how customers are using AI tools to find and discover brands. And so this takes a a few different shapes. Example number one is here. If someone goes and searches, you know, what are the what are the best sunglasses for running? And AI says, hey. It's brands a, b, and c. But there's a ton of other surfaces where AI visibility comes into play. ChatGPT is obviously the most common and the one we're seeing the most referral traffic for, But this also is TikTok search. It's Google AI overviews. It's Amazon's Rufus. It's all of the different service surfaces where AI products and tools are scanning a bunch of data out there on the Internet and then using that to come up with ideas and recommendations. One other thing I'll note here is two different ways you can think about this. Way number one is for discovery. So discovery meaning someone searches what are the best sunglasses for running, and they're finding brands that way. Way number two is for comparison. Comparison is saying someone is saying, hey. I'm looking at product a versus product b. Which product is better? Which product, you know, fills this gap? How is their warranty? How is their return? Whatever it is. So both those surfaces are really what we care about. One, are you getting mentioned? Are you showing up? And then two, when you do show up, what does AI actually think about your brand, and is it aligned with with how you internally view your brand? And so, yeah, mentioning that a little bit deeper here, how you find people, answer engines, ChatGPT, Perplexity, Claude, AI powered search results, Google AI overviews. Google is also shifting this more towards, you know, their AI mode and their Gemini search engine. And then you have Rufus, TikTok shop. And then you have all these autonomous shopping agents, kind of agentic commerce tools that have not really reached any level of mainstream adoption yet, but are definitely getting a ton of VC investment. Shopify is preparing for these with their agentic storefront, and just a ton of of buzz in this space here. And so one of the big questions I get asked on on all the calls I'm on is, like, are people getting orders? Are they getting recommendations from these AI tools? So twenty twenty four, across all the triple l brands, that's a little over 50,000 brands. I think it might even be higher now. There were 7,000 orders directly referred through UTM trackable links from AI tools. Just in q four of last year, over 400,000. And then as that post purchase survey data suggests, a really common buying pattern and habit we see is someone goes into ChatGPT. They ask questions. They get a brand recommended to them. And then rather than clicking a product or a a link within ChatGPT or within an AI tool, they just go to Google and they open up a new tab and they search the brand up there and they find them that way. That's only getting attributed to your organic search, but how they actually discovered and found your brand was was through AI search. And so based on our post purchase data, q four of last year was was really likely over 1,000,000 orders, up from 7,000 all of of 2024. We'll be pulling some some more recent data for that of q one of of this year, but the growth seems to be continuing. And and our our kind of anticipation by the end of this year is that AgenTic commerce and AgenTic traffic is somewhere around 5% of total revenue for brands by the end of the year, varying a ton based off how much a brand has invested, the space and vertical they're in. But broadly across all of our brands, we're anticipating somewhere around 5% of all their total revenue traffic coming directly from these these AI sources. So two big bets we really think brands are making. First one that we kinda just hit on is adoption is going to keep accelerating. Revenue is still small. Like I said, you know, currently, it's maybe 1% of total revenue for brands, but we believe that that is going to keep accelerating and growing. And then two, brands that invest in this now are going to build a long term advantage over brands that maybe are a little slow to move on this. And then a year or two from now, this is something they care about, and they're having to fight an uphill battle over a bunch of brands who have really established themselves, within this space. So a big question that I get asked also is how is this different from SEO? Is this replacing SEO? And, really, it's two sides of the same coin. Both of these products and both of these tools feed into each other, and they're all part of the same system. So if you run a search in ChatGPT, ChatGPT is going and doing Google searches in the background to find and pull information about your brand and to come up with recommendations. But then it's using the content within those, the the way you structure your content, the consistency of your messaging to come up with ideas and and, you know, how it thinks about your brand. And so these really do not operate independently of each other at all. Two sides of the same coin. They really work hand in hand. SEO lays a lot of the groundwork and the foundation for how all these AI tools actually come up with their recommendations. But as we'll get into in a little bit, there is nuance and difference differences in how you want to treat these AI tools in making sure they understand your brand correctly. And when they're comparing you versus another product or when it's deciding what to recommend, you're getting pulled into that. So SEO is not going anywhere. Still very important here. As we'll walk through in a second and as Elk will highlight, brands with really solid SEO tend to have really good AI visibility, and it's hard to have one without the other. And so really gonna going in deeper on how AI visibility is different from SEO. SEO is your rankings. It's your keyword rankings. It's your your, you know, organic rankings, But it doesn't necessarily say how consistent your information is, and consistency is really what these tools care about. The more consistent and the more you hit on a a message is how these AI tools will actually start to understand your brand instead of, you know, putting content out there that maybe isn't relevant. So a really common example here is it's saying, hey. This is a great budget product, but you're actually a more premium high end product. And so you wanna make sure it understands that you're hitting on that vertical, and it's not misinterpreting your brand or or your value prop or your positioning. And so next question is like, okay. Great. I understand traditional SEO. I know we can go use Google Search Console or kind of all these other tracking tools out there. What does tracking actually look like for AI tools, and how do you actually go about measuring this? And so this is a AI let's make sure I'm sharing the right tab. Can we see this? Okay. Great. Yeah. So this is. the AI visibility dashboard for the brand Goodr. Goodr is a sunglasses brand, and I'll kinda walk you through each piece individually. So up here on the left is their visibility percentage, and their visibility percentage is how often are they mentioned and the prompts that they are tracking and that they care about. And prompts are very similar to to keywords in traditional search. So down here, we have five topics. And then within each of these topics, we have 10 specific prompts that we're tracking. The prompts don't need to be incredibly unique and varied. What really matters here is the breadth of data. And so what we really say is come up with a a topic, and then within that topic, 10 to 15 prompts is a good starting place. But the more, the better. These AI tools have so much variance in their individual responses that we really just want a wide breadth of data. And so 50 prompts being tracked here. And then as we can see across Goodr here, they have they have excellent AI visibility. So across all 50 of these prompts, 80% of the time, Goodr shows up as an actual recommendation. And so we can come into any one of these prompts, you know, 96% on best running sunglasses that don't bounce, And then we can click into this actual response from ChatGPT, and we can see, hey. Great. Goodr is getting recommended here here a bunch, far more than even most of other brands in here. And so that is kind of key KPI that you're tracking as as number one is is your brand being mentioned? Are you being recommended? Then the second thing we have here that's worth looking at is your sources and citations. If I come into let's go into this one here, and then, you know, let's filter by ChatGPT. We can see okay. So for these 10 prompts we're tracking here, 76% of the time, ChatGPT is citing running world as a source, Runner's World. So if I'm looking at my marketing and my PR team and we're trying to find sources that we think are good to go get placements in, number one by far is Runner's World. And so I bet if we went and looked at any of these individual sources here, we would see Goodr is really frequently getting mentioned in these runners world articles. And so you can start to use these sources and citations here to reverse engineer a content strategy that you can use to start to come up with how you want to go about tackling these topics. As far as coming up with your topics and prompts go, we have a a help article in in our knowledge base that you can take a look at. But but broadly, you wanna cover all your specific key selling points or value prompts at a high level. So for for good or here, it's running sunglasses, polarized sunglasses, sunglasses that don't slip is a really common selling point, and then they focus a ton on outdoor sports, so pickleball, golf, and then fun stylish sunglasses that are still high performance. And so those are the five topics they came up with. And then within these topics, it's all variations of similar questions. Best everyday sunglasses with personality, best colorful sunglasses, fun sunglasses that aren't overpriced. Really, like I said, it's just about a breadth of data. 15 to 20 prompts is a great high end, minimum 10 to make sure you have a good level of data. And so now, like, okay. You have 80% here. What does that mean? Is that good? Is that bad? Is that common? Is that uncommon? So the first way you can start to see how you compare is with competitor tracking. So within TripleL, you can add your competing brands, and then those competing brands will be overlaid on your visibility right alongside your brand. So you can look and see that that Goodr is absolutely crushing Ray Ban. They're crushing Knockaround. They're crushing Tafosi. All these other brands they're competing with, Goodr is by far the most performing. And so to set a good benchmark, you'll wanna make sure you add in your competitors to to compare against. Very broadly, for for young upstart brands, anything over 10% visibility is great. For for challenger brands, you're looking at 20 to 30% visibility as a really solid benchmark. And then for national brands, they really should be aiming over 50% visibility. Those numbers vary a ton by vertical and niche, but, broadly, those are decent metrics you can use as a starting point. But the benchmarks you see here are are great as well. So in filter by ChatGPT in Gemini, the data will be different. You'll notice that Gemini uses a lot more sources and a lot wider variance of those sources than ChatGPT. So highest cited source for Gemini is point 72%, whereas ChatGPT, 38% across all the topics. So a much easier time influencing ChatGPT directly for AI visibility because you can address the sources it cares about directly. Whereas with Gemini and Google, it leans more on traditional SEO. So that's kind of a quick walk through of how to actually track and how to actually look at what you're doing here. The most important piece is this space is so new. We're still figuring everything out that you really just need to have a way to measure. Hey. If we change something, if we update our site schema, if we go get more PR placements, can we see a noticeable lift in our visibility and in our mention rate? And so that's really what this gives you the ability to do is track, hey. If we make a bunch of changes, if we make updates, can we see lift, and can we measure lift? That's what this tracking gives you the ability to do. So I'm gonna come back over here and then hand it off to our friends over at Elk, Chris and Steve, who can walk through Goodr exactly and how they actually lights are turning off. How they actually create where is this? There we. go. How they actually did this for Goodr and actually went about improving their SEO, improving their AI visibility, and the exact tactics and strategies they used to get Goodr at 80 to 90% visibility. I'll tell you, I started a Eater six or seven months ago. I've been doing this at Triple World the last two or three months. I've probably analyzed over 200 brands AI visibility really deeply. Goodr and the brands that Elk is working with have better AI visibility than any brands I've looked at across all two to 300. So their advice and the stuff they're doing works that that is independent of me and and my thoughts. It's just what the data shows. So I'll have Chris and Steve come on, and and super excited for them. Alright. Welcome, guys. Awesome. Thanks so much for the intro, Dylan. And, Ethan, thanks for having us today. We're excited to walk through a little bit of our our partnership with Goodr, and give you a bit of context on how we've supported them from a organic search SEO standpoint and how we're transitioning into the AI search visibility world. Let me get this fired up, and we can get going. Alright. So a bit of context on our partnership with Goodr. We've been working with them for over six years. Goodr is was a highly disruptive brand for the sunglass market with a really unique unique value proposition. They really built the brand around four core principles, which they summarize as the four f's. It's fun, fashionable, functional, and affordable. And so that $25 price point that they came into the market with was highly disruptive. And, you know, they they positioned their their products as no slip, no bounce, all polarized, and, again, $25. So it was a big, opportunity for us to help support them across multiple channels, paid support, some web dev support, and, of course, on the SEO side. So just to summarize some of the the top priorities we've, focused on over the six years, was really improving our technical foundation, building out full funnel content strategies, assisting with a blend of brand voice plus our nonbrand targeting, and increasing domain authority. But I I really think the most important and impactful priority that we've accomplished over that six years is operationalizing SEO, meaning we are considering SEO impacts with every decision that's being made, throughout the marketing funnel. Cool. So double clicking into some of these areas of strategy. On the technical foundation, it comes down to indexability. Is Google able to crawl and index your pages so it serves it up to users? Part of that also, ties into page speed, Core Web Vitals, introducing structured data and schema markup, and helping them expand into more international markets with hreflang tags. On the full funnel content strategy, we really wanted to focus on three primary areas, sports. So we we talked a little bit about the running sunglass visibility on the AI side of things. That was really our our primary focus when we kicked off, but that expanded into cycling and golf and a number of other sports. They expanded their their product lines to include more fashion oriented frames, and that kind of bled into a lifestyle play as well, thinking about festival goers and, things of that sort. As far as nonbrand targeting goes, we really needed to work together collaboratively with their brand team to ensure that we were positioning their product to be discovered by people who were unfamiliar with the brand. And so that was reframing, some of the the terminology that was used to refer to their products on their product listing pages, their category pages, their product detail pages, introducing some FAQ modules, more comprehensive guides to function as top of funnel entry points, and then more detailed posts. Alongside that, we were helping them build domain authority with link acquisition and guest posting initiatives and, as I mentioned, operationalizing SEO. It was just organizational adoption of SEO best practices, and having a voice in the room when it came to strategic planning. So this is kind of the foundation that we were able to build off of. And as AI search has increased, in popularity, we wanted to well, we needed to make some adjustments. As Dylan mentioned, you know, SEO is kind of the foundation of AI search, but there are nuances and differences that need to be accounted for. So looking at really how we shifted focus heading into the AI search world, it it basically boils down to these six areas. So agentic readiness is basically just ensuring that we are allowing these LLM bots to access our content, retrieve it, and cite it. Doubling down on our technical foundation, it's really filling in the gaps, making sure our pages are well structured, that we've got a fallback for JavaScript that, we'll touch on in a little while. Data integrity is another massive area, of opportunity. So using and and deploying advanced schema techniques, enriching our product feeds, filling out all those attributes, and then, obviously, the monitoring and tracking is different. Content evolved. It's deeper topic authority. It's persona driven content strategies, and it's, expanded detailed PDP copy. From a site structure standpoint, thinking through how do we organize our content in a meaningful manner that demonstrates topic authority, and that kinda boils down to content clustering, that is powered through internal linking, and also variant management for our products themselves. And the last piece here is around trust building, and this ties into, those top cited sources that Dylan touched on earlier. Link building supports the traditional SEO visibility, but on the AI search side of things, it is more, thought leadership syndication, community monitoring, and understanding how people are referencing your brand and what the general sentiment is online. So looking at each of these in a little bit, more clarity, a little bit deeper. When we say agent readiness, we basically are saying don't block key bots. And so we've provided a list here of some of the top user agents that we would need to make sure you are providing access to. Bots will typically get blocked in a number of, these three sources. So it's your robots. T x t file. It's maybe some CDM bot blocking configuration, or it's your web application firewall. We want to prioritize access to search bots, those that are retrieving content and synthesizing them in answers over training bots, which can be really like a a server stress. And then lastly, getting ready for agentic commerce. So this is a rapidly evolving area, where we've got new standards kind of being released seems weekly. Weekly. And, yeah, just making sure that we are prepared from an infrastructure standpoint to integrate there well. So as far as an action you can take this week to improve your readiness for agents, just connect with your IT and dev team to make sure that these crucial, user agents that we've listed here are not being blocked in any of the solutions listed above. The next area to touch on here is the technical foundation. So this is all about fine tuning your website. JavaScript is a challenge for AI bots. Meaning, if you are serving your content through JavaScript and it's very common on PDPs, they're not gonna be able to read it. It's effectively invisible to them. So if they can't execute the JavaScript, they can't extract the content, they can't serve that to the user in their synthesized answer. So we really need to come up with a a process of degradation, or serving a more fully formed version of the web page in HTML to ensure that they're able to extract that content. Next point here is doubling down on our SEO audits. So that SEO technical foundation is crucial, making sure that we are, addressing any sort of internal errors that are found, finding any gaps or duplication errors, meaning, like, if you have missing metadata, that's gonna be a a real negative, well, it's gonna hinder your ability to get, cited. And then page template weaknesses, thinking through the way that content is structured, your heading structure, all of those are gonna be areas that can greatly influence your ability to be cited. The last bit here is around page speed in Core Web Vitals. Mean, I AI search is all about speed. And so if you've got a slow loading website, that, again, is gonna hinder your ability to be cited. So your action that you can take today is to audit your page templates. I'd start with your PDPs to evaluate how reliant they are on executing JavaScript, to serve content. And you can use a browser plug in, like toggle JavaScript for Chrome in order to do this, and it'll allow you to compare JavaScript enabled versus disabled to really identify the areas and the content on the page that is reliant on JavaScript. Data integrity is another really important part, and we're gonna talk about structured data schema markup as kind of the native language of LLMs. It's a way for us to really clearly identify the content on the page and its values. And so we wanna make sure that we are applying schema across all page types. All relevant Google supported schema is kinda like the the basics, the table stakes here, and then there are advanced schema types that are emerging. And we've seen Google adopt more of those over time. Product feed enrichment. So we think about this to integrate in from a a traditional search standpoint into the the shopping environment. But for AI search, it's an opportunity for us to really optimize our product attributes. So making sure that we are filling out all of that content and all those values by leveraging supplemental feeds, and testing ways that this can influence our products discoverability, in AI search. And then the last bit here is variant management. I think it's common sometimes for ecommerce sites to dedicate URLs to color variations or, integrate, like, sizing into URL structures, and and we really wanna consolidate that PDP footprint so that we've got really clear signals about what we're doing, and what is available here, and then leveraging schema markup to feed those variant options to the bots. And one of the quick ways that you can monitor your current kind of discoverability on the feed side is to log in to search console and, review your merchant listing report because it'll provide you explicit areas for improvement or errors that it's encountering within your feed and schema on-site. Cool. Thanks, Steve. Just to to build on some of this stuff, I think fresh content is something that these LLM models just love. So if you're looking at, immediate action items, like, yes, you need to build new content at scale. You need to, you know, account for, for how you're addressing, intents with with these different, models looking at your content. But one of the first things you can do is just freshen up old stuff. So looking at decaying contents, you know, going into GSE, setting that comparison date range, looking at lost impressions over a specific, time frame, going in there and really not just, you know, updating a title tag or or tweaking a a meta description, but doing some substantial edits, and and adding in some some schema words. Like, hey. This thing has been refreshed more recently. It's got a date modified, structured moment in there. And then you really wanna try to establish a revision cadence to go along with your your fresh content production. So freshening things up is like a nice low hanging fruit way to to start addressing some of this content that may not be doing the work that it used to do for you in the past. But when you're looking at building out new stuff or even, you know, revising old stuff, you really wanna structure for that chunk retrieval. And I'm I'm sure if you guys have, you know, looked into to AI visibility and some of the opinions on on how these models work, Structuring for trunk retrieval is a is a through line in terms of recommendations. Now I think, you know, Google would say that, hey. Just make content for users. And as long as you're being helpful, that's all gonna be, you know, worthwhile and and and fulfilling and whatnot. But if you're thinking about how these, AI surfaces work, how the generative AI models, you know, produce their synthesized answers, all of these little bits of chunks, these atomic pieces of content where you have, clear subhead structure, like, you know, clear headers, a nice too long didn't read thing at the top where you you're using lists and tables and bullets and some of this repeatable pattern stuff. So, like, questions as subheads, very clear answers. I think gone are the days where you're just trying to hit a word count to to make sure that you're sprinkling in a keyword a certain amount of times, making sure that the page is over a thousand words, something like that, in order to to rank in the top slots for for a core head term. You really wanna look at each individual piece of the page and how can those pieces stand alone, when they're put inside of these, generative AI blenders, so that they can come out on the other side with, with with some useful stuff that your, brand is putting out. And really thinking beyond the keyword is something that that we can't stress enough. I think that, you know, SEOs for for the longest time have really been focused on just keyword search volume alone, and what are the top terms that I'm trying to rank for. You know, do I have the site, a site that's capable of ranking for these terms? But when you're thinking about how these models, retrieve data and also just how users are interacting with these models, with with longer conversational prompts, you know, how these models anticipate follow-up questions, things like that, You really wanna think about, different personas, different user intents, and map out your topics and your your pillars and clusters in a way that you're you're you're diving deep and you're providing that deep topical authority, through every stage of the funnel. And that that really goes beyond just thinking, hey. You know, this is the term with the most volume. Let me let me put up a new a new page just on this topic. So digging into that that that cluster idea a bit more, the pillar and cluster, the tactics are, you know, are are a traditional tactic from from a content strategy standpoint from, you know, traditional SEO. But when you think about how query fan out works and how these models try to, you know, identify the next piece of their synthetic answer, really structuring your content calendar and your cadence in a way that you're starting with these very generalized, topics and then you're going deeper into the subtopics. You have to map all that stuff out, but you also have to make sure that everything's stitched together. So I think everyone knows that the content's super helpful for for AI visibility, also for for traditional SEO. But I think the the internal linking bit often gets overlooked. So if you're if you have these topics that support each other, if you have a content hub that's speaking to all the benefits that would, that would maybe be a little bit too wordy to appear on, a PDP or PLP, have to make sure that you're going back and that you're connecting all this stuff together through internal links. So models have the ability, users as well, to see, these relational topics, to see that each individual part is going to create this this larger, this larger entity, relationship where you can really drill down and provide useful information, in different stages of the consideration phase. So, I I mentioned anticipating the next question. When you're looking at at building out these these content, clusters, and you have your core topic, you have these supporting subtopics, you're linking everything together, but, really, you're just trying to go deeper and deeper and optimize for for these different different parts of the consideration phase, like I mentioned. And, you know, connecting the the the the product and the conversion focus pages with some of your more just overall generalized content with either internal related linking modules or, you know, having having, links out to content from your PDPs, from your PLPs, not to create additional friction from the from the overall conversion, but really to support and buttress these pages with additional deeper, deeper views and and deeper research and takes on the questions that are important to, to customers who are, you know, in this consideration phase. So if you're if you're looking at, an SEO audit or, a, you know, a screaming frog, crawl, and and you're saying that that you have pages that are that are orphaned or that, you know, or maybe, you know, in your in your sitemap but don't have a crawl path or or just maybe you know, too many clicks deep, when it comes from from the home page. Really think about how a user and an AI bot would like to, access these pages and and just try to think thematically, how can we connect all these pieces together so that you're you're putting your best content foot forward? So you can build all the cool, like, chunkable, clusters and and and and all this this this great content on your site, but you also have to pass through this trust filter that exists with with all of these AI models. So you you do wanna be present in the, trusted sites that influence these AI models the most. So we know that, like, you know, if we're looking at AI overviews, for example, YouTube, Reddit, Wikipedia, you know, these these trusted sites have a a bit of an outsized influence on these models. But, really, you you have to think about you know, just as you're stitching together all your your relevant content on your page and you're creating a a content calendar that speaks to to to broader topics, you also have to to to think about your reputation off-site. So are are you engaged in in in thought leadership? You know? Are you leveraging PR to help, you know, bolster up the overall reputation of your brand? You know? Are you earning mass media coverage at scale? The the the top sources, you know, screenshot here that's that's part of the AI visibility tool can help you craft a a content marketing strategy and an, you know, off-site authority building strategy that can help you build trust and and create relationships with some of these sites that are going to be, you know, cited the most, with within the models, as you can view with it within the AI visibility tool. But but going outside of of just the, you know, forging relationships with with some of these trusted sites, you really need to think about your overall entities. So so authorship, your brands, you know, your all your different earned media tent poles. Like, are these things being connected through schema markup? Are you creating a a a knowledge graph that is not disjointed and that you have that consistency of data as as Dylan mentioned earlier? So leveraging tools like the the the AI visibility tracker to to identify these common commonly cited sources that that will really help you build this this outreach plan. So know, if you if you are building these these nice, you know, content, these content moats that are gonna provide all kinds of relevant data to these AI models, you also wanna have the the the brand reputation and the and the the the overall rep to be worthy of citation within these models through some of these off-site trust signals as well. So just to summarize all all of our points here, there's six points. Now we wanted to make this, like, actionable, and a lot of this stuff is certainly gonna take more time. But, you know, making sure that you have, like, your just agentic preparedness, readiness that you're not blocking critical bots, that's a that's a pretty, easy, box to check. The the tuning your site and auditing your site is probably more of a longer term play, but kicking kicking off a crawl and understanding where the gaps are, you know, understanding, you know, what the overall site experience looks like with JavaScript disabled. These are all things that you can start, you know, putting to work today. Getting your data right, I I I think we we talk a lot about, organic product feeds and these supplemental feeds and all of these attributes that you can fill in that are often missed. So, I mean, just think about the the SERPs, you know, outside of of AI visibility for just a moment here. There's a whole lot of real estate when it comes to just the product grid, you know, outside of of of of shopping and, you know, more more ad focused units. There's just a whole lot of of information that you can feed. And all of the all of those information, gaps that that are, you know, not filled in, you can you can fill those in with with some, some some agentic help, but also just making sure that you're you're not missing out on any simple things like, you know, missing missing title tags, missing schema, stuff that might require some, some page template tweaks. But, you know, at the end of the day, you're feeding the machines what they want. You're speaking in their language, and you're getting additional benefits more on the traditional SEO side as well. So, the the the content is is still king. I know it's a tired phrase, but you still have to you still have to build content out. And if you if you wanna be, you know, quick about it, then looking at it through a you know, refreshing your your money pages that that that may not be driving as much, you know, traffic and interest as they have previously, that's certainly one way to do it. But then looking at your overall page architecture for for any kind of content that you're trying to build. You know, understanding that you have all of the you you have a an FAQ section on a PDP that's marked up with schema as such. You know, that you're that you're creating a content hub that's that's relevant and that's pointing to, to to actionable moments within your website. Now everyone knows that they need content, but really making sure that you're you're building deep topical authority and that you're connecting all these pages together through through internal links and through, you know, through other, modules is really gonna be critical. And then, you know, all this stuff is is is more on on the on-site side of things. And while, you know, link building may not be the most, you know, fun topic when it comes to SEO, the citation references, the the the mentions within trusted sources. You need to be building up that authority in order for these AI surfaces to to view you as a source that's worthy of citation. If you don't pass that trust filter, it's it's gonna be an uphill battle. You know, no matter how fast and awesome your site is, you know, how much amazing content you're building, you still need to focus on, making sure that that that off-site rep is, in a good place as well. So, also, we can help. If you need if you need any help with all this stuff, you know, Elle can certainly help. So, please don't hesitate to reach out, if your brand needs some assistance. Alright. Thank you, Steve and Chris. That was incredible, and I love just the action items in all of those slides. I think there's so much that everybody learned from that they can take away, and they can start taking action on. And as they showed at the end, we're gonna send out the report for this in those slides as well. But as they said at the end, if anybody has, specific questions or just needs any help, like, with their strategies in relation to that, Elk is happy to help on that front. All right. So at this point, too, we'll open it up for q and a. So if anybody has any questions, at all around anything AI visibility, our product strategies, feel free to share those in the chat, and then we'll, we'll tag team answering any of those questions. And, Dylan, you might have some audio coming in in the background. I don't know. Yeah. Cool. Yeah. Feel free to throw any questions here in the chat. And just for if anybody for anybody that doesn't have AI visibility in triple l set up yet or isn't a triple l customer yet, our AI visibility tool is is free. So it's free in Triple O's product, and it's also available in our free the free version of our product. So it's super accessible. I know there's a lot of other expensive solutions out there on the market, but ours, we we purposely want it to be very accessible for everybody. Alright. Alright. Here's a question for you, Dylan. First from Daniel. What is next on the road map for AI visibility in Triple Whale? Great question. Yeah. So for us, with with AI visibility, it's really looking a little more holistically, and it's not AI search. It's not organic search. It's just search. And so we'll be bringing in a lot more SEO functionality. We're working on a Google Search Console integration. It's really the the ability to give you a full dashboard dashboard that you can get a a understanding of everything that's happening within search alongside AI visibility. A little more specific to AI visibility, it's it's really going deep on helping you take action on all these things, helping you reach out to PR sources, helping you put together content, helping you identify content opportunities, and working hand in hand with you to create that content. So kind of those are really two big priorities is, one, deeper on our SEO strengths and and going in deeper on Google Search Console, And then two, helping you take action on all these different things. And then I'll pass it off to Steve or Chris for for the question on citations if you can see that in the chat, guys. Okay. Which is the most influential from YouTube, Reddit, Wiki, Quora, and review sites? Depends on the surface. I I think I think YouTube is the most is now currently the most cited, I guess, influencer source within, AI overviews. And I know from from, Google's relationship with Reddit, Reddit certainly has an an outsized, you know, in influence within that. I think for with ChatGPT, Reddit, had a lot more of a influence, previously, and then sort of q four last year that that that waned a little bit. But I think if you're if you're looking at that that whole that whole spectrum of of trusted sites, just making sure that you you're at least monitoring what's being said. You know, not having a YouTube presence as a as a as a brand is gonna be a challenge. If you're gonna engage in Reddit, you know, do it with some level of authenticity. If you're gonna be monitoring review sites, make make sure that you understand what the sentiment is and that you're, you know, you're active in in replying. That that'd be my recommendations. One other note I'll add on from Chris is is in regards to YouTube. I've had some people object saying, like, hey. We've tried YouTube, and our videos only get, like, a 100 views or 200 views. I've looked at a lot of the citations from YouTube, and I'll I'll consistently see videos with under a thousand views be recommended. So so this doesn't have to be, like, these videos need to get a ton of views to to be worth it and to get picked up. Lots of videos with a not high number of views are still getting used as sources in a lot of these responses. I'll take the next question. How does your visibility tool work? Are you pinging the LLMs multiple time? Are you looking at secondary prompt or just initial prompt? So, essentially, how we we track all these prompts is we take all of the prompts you put into the platform, and then we run those through the LLMs every single night. Now there's a really specific difference there. I guess not a difference, but we are not running these through the API. So you have the the OpenAI API, and that is completely separate from from what we're using. So we're actually creating a a browser session, and then we're going into the browser session, going into chatgpt.com, pasting in the question, and then pulling and scraping the response back from that question, and then doing that every single night across all of your prompts. So we're actually getting the the real response from ChatGPT, and then each of those questions is geolocation based as well. So if your brand is in The UK, we ask the questions from The UK. If you're in The US, The US and vice versa. So we're really working directly with these models to to ask these questions and pull their responses back. We're pulling whether or not it's triggering a shopping model. We're pulling all the brands being recommended. Coming soon, something I forgot to mention is we'll be pulling which specific products of yours are getting recommended as well, not just whether or not your brand is being mentioned. And then, yeah, I'll I'll hand it back to to Steve and Chris for the the question on niche brands. Yeah. How can you best get a brand recommended in a niche market or a niche brand in an established market? It really comes down to kind of the three pillars that support both SEO and AI search, which is gonna be a a solid technical foundation, a a robust and connected content strategy, and, you know, brand reputation that gets mentioned off-site consistently in a a positive sentiment. And I know that's kind of like a a broad way of going about this, but, ultimately, I do believe that the technical foundation is critical to build and have effective content strategies. So I would recommend just making sure that you are in ship tip top shape on the the technical side before really expanding into a robust content plan. Chris, feel free to chime in if you've got other. Yeah. On the on the new beverage category, I mean, if if there are distinguishing features, you know, ingredients, things that you can double click on from a content standpoint, you know, maybe don't just put up one page about it, but try to really drill down and, and get into, you know, potential questions that that consumers would have about what makes this, you know, new beverage category new and and what exactly you're you're putting forward that, distinguishes you from from other other beverages in the market. I think that that that that content strategy is something that you have to also just keep ongoing. So it's not like a set it and forget it. Hey. We put up a bunch of content on on our ingredients and our differentiators, and then we're done. Whatever velocity you're comfortable with as a, you know, as a niche brand, you have to stick with it. So if that's posting weekly, posting monthly, just, you know, stick stick with it and continue to to build out that content, and then just try to get some some product, I think, in in in the hands of of folks who can talk about it who are outside of your your own ecosystem as well. Great. And and one note I'll add along that is I, like, I use the phrasing, like, find your qualifier. Like, if you're a a running brand, it's really hard to win best running shoe. But if you're, you know, ultra with wide toe boxes, you can say best running shoe for wide toe boxes. It's not best protein bars. It's best protein bars that don't have glyphosate in them. It's if you can find, especially as an upstart brand, you know, three or four kind of qualifiers that are not just best drink, but best drink for someone doing this or or those additional qualifiers are, like, really ways you can start to build presence in areas where there there isn't as much competition. Awesome. Next one, it looks like Chad wants Chad's new to TripleL, and he wants to know the best resource or person to get in touch with around, I'm assuming, AI visibility. Dylan is your guy on. the front. Yeah. I'll just we can set up a call after this, and I'll and we can get on a call, and I'll walk you through it for sure. Yeah. And I'm gonna throw your email in the chat too so they have it, Dylan. Perfect. I wanna answer Andrea's question real quick. Andrea, make sure you have shop aliases set up. So by default, the system is looking for your triple l account name in the responses. And so sometimes that's, like, your brand name dot myshopify.com. And so it's looking for that exact specific phrase. Within the shop aliases in the setting, you can put, like, your brand name, different ways that it's spelled, if there's abbreviation. So you can put all of those in, and those will be be pulled through as a mention. And so that should fix your issue. Google Search Console integration, that's live in triple well right now. You can go use that. If you have Mobi, you can go query all that Google Search Console data, but we don't have a a really built out dashboard to display all that. So that's something we're working on. But but if you have access to Mobi, Mobi can pull all your Google Search Console data, and you can ask it a lot of these questions Chris and Steve have brought up, and it'll be able to pull you you good answers there. Chris and Steve, this is something I've seen brought up a lot. The the Reddit question of of not sounding promotional and how do you engage in these channels without coming across as spammy. That's a that's a tough question. I I mean, I I think that that certain brands handle this in different ways. Some brands set up shop, and and they're there, and they are they are the brand. They are representing the brand, and they're you know, there's gonna be an element of of promotional, you know, ness to to that type of conversation. But if you can engage, you know, active community users to have conversations about certain topics while mentioning your brand, maybe not necessarily like, hey. You know, there's a flash sale or there's this, you know, more promotional type of messaging. But just like you know, we we we work with a, an an immersive experience, VR provider, and there's lot of conversations that are happening, within within Reddit within different subreddits, on these topics. And if you you can point to the technology, to the experiences, to to just, you know, how those experiences might might differ from from other, you know, lower quality type of, you know, immersive experiences, that's useful information that people aren't gonna jump on and just say, like, hey. This is this is all just, you know, self promotional and chilling and and and whatnot. So it it is a double edged sword, and you do have to tread, lightly. But I I would start with, engaging in community members that have an established presence, you know, within the topics you're curious about. There there was a few others that that popped in here that I wanted to to to jump on. One was about, about the prompts and and how do you how do you best set up prompts. I I would say that there's there's so much, there's there's so much AI ness to even the prompts themselves that the the the more human element that you can create when you're trying to think about, you know, what what kind of FAQs are coming from our customer service team. You know, what are people asking about from a from a a a materials perspective or, like, a, you know, a comparison perspective between product? You know, think about your customer and put your customer first and and and have that be the center of of the type of, you know, intent and personas that that you're trying to model around other than just saying, hey. You know, take a look at my websites. You know, generate me some prompts. It's like, you know, you you really have to inject some kind of understanding of your customer, and that's gonna require some digging. But I would recommend that, you know, the more you can, inject that's that's more, you know, customer focused, the better those prompts are are are gonna be in terms of what people are really asking within these AI services. Great. Great. Dylan, let me know if we answered the question from Andrea yet. It looks like she set up AIVES recently, but her VES is at zero right now. Yeah. Yeah. So I just wanna set up the the shop aliases within, the triple. l account to make sure those mentions are getting pulled in accurately. Steve and Chris, I'd love to get your guys' take on the question of, like, how do you actually track whether or not your pages are getting pulled in? There's a really intricate technical detail here, which is if you're on Shopify, Shopify does not let you see when the AI crawlers are visiting your site. If you're not on Shopify, you can set up some things to see when the crawlers are visiting your site. Shopify blocks that because they control everything on the server level. So how do you guys make sure your pages are getting indexed? Yeah. We leverage log monitoring, but like you said, that's, not really an accessible through Shopify directly. CDNs can be helpful in this regard to kinda measured bot, requests. Yeah. Those are kind of the measures that we've got in place to ensure that, yeah, the LLMs and AI bots are hitting the pages, as we publish them. I think when you're looking at freshness too, like, that that date modified schema can really help. Just say, like, hey. You know, this is something that was recently changed. It it may not be the original published date, but we're putting out the fact that we've, you know, we've given this this page a refresh, and that can that can help as well. Shopify does a pretty good job of adding everything to your site map automatically. So if you are adding a new blog directly through Shopify, if you're adding a new product page, whatever it is, they've set that all up in a way that it's pretty easily scraped and crawlable. So they should be able to pull those in within a week or two. I've seen I I've spun up new pages for people, and twelve days later, I'm seeing those used as a source in the citations. So if you are on Shopify and you're you're creating all your pages and everything natively within the the tool itself, like within the Shopify page and everything, those all should be pretty easily crawlable and and indexed. Sorry. The the note I made about not available in Shopify if you are in Shopify, you can totally use our AI visibility tool and see the data there. There's just because Shopify controls your entire infrastructure, they block a few additional things that we could track and pull in, but you can still see all of your your AI visibility data within within triple l regardless of the platform that you're on. Somebody asked too if if AI visibility works for the prompts in Spanish or if it's only English. Yeah. So the tool, we ask all the questions based on your geolocation, and then it's independent of the language. So I was looking at an account earlier today. They're asking all their questions in German. The the questions are being asked in Germany. So all the responses are German brands. The response is in German. It's all localized to that specific area. So I think we support just about every geolocation. There might be a few small countries, like, we don't natively have have scraping support for for localization. But most most countries and and even if you are just, you know, Spanish focused but based in The US, yeah, totally fine. The questions can be asked in Spanish. You'll get the responses back in Spanish, and and we'll still be able to to pull all the data correctly. Amazing. I think we answered all the questions. I know we have a we have a few minutes left. So if anybody has any other questions, feel free to throw them in. But Dylan and or Steve and Chris, if I missed any too, definitely call those out. I, think we're good. some in the q and a section. Somebody called out. Okay. Cool. Let's check these out. Yeah. Dylan, feel free to jump on these. Well, here's a technical one for Steve and Chris on the crawl depth. Yeah. Recommended, click depth is three clicks from the home page. We wanna keep the site as flat as possible in terms of click depth. And then how you enter a link between the pages is gonna create your content clusters, and those clusters will be representative of, like, the breadth and depth of your coverage of that topic. So, to answer the click depth directly, it is fewer than three clicks. And then, yeah, we'd wanna make sure that there are plenty of interlinking signals between related pages too. Awesome. And I think this. other one was in the main channel as well. Amazing. Alright. Yeah. If there's any other questions, feel free to throw them in, but we really appreciate okay. We need to answer that question. Alright. Dylan, how do we Dylan or Chris, how do we ensure new content is actually picked up by the LLMs? Is there a way to test it or just by putting on the site and you sit and wait? We do want this content to be live on the site. There's no, like, testing the the AI surfaces waters. Like, you you have to have it live and for it to be in consideration for a generative AI answer. Yeah. And as long as like like I said, if if you're on if you're on Shopify, as long as your tool is or your pages are are built natively through Shopify, everything is is in place for that to be picked up by the model. It's just really, can it find the page? Does it care about the page? Does it want to cite the page? But as long as you've built your page regularly and it's within your site map, meaning it can be picked up by Google and other sources, it's it's really just up to the model deciding if if that's a page it cares about. and you wanna have a crawl path too. So if if you're putting it, Yeah. you know, up on the site map, you know, make sure that there's some some links, path to it so that it's can be discoverable. Thanks, Chris. Awesome. Thank you, guys. Alright. Sweet. Well, we appreciate everyone's time today. If you have any other questions at all, feel free to reach out to us, reach out to Dylan. We're gonna share the recording from this, some of the key assets. But, yeah, we really we really appreciate everyone's time today, and we can't wait to see what everyone can accomplish as they start diving more into these tools, leveraging these strategies, and everything else. So thank you, everyone. See you, Ron. Thanks, everyone. Thank you. Bye.