Name: US Agentic Readiness Series - Part 1: Expanding the Foundation
Uploaded: 2026-07-30T18:30:47.898Z
Duration: 46 min 11 s
Description: US Agentic Readiness Series - Part 1: Expanding the Foundation

Transcript for "US Agentic Readiness Series - Part 1: Expanding the Foundation": wanna welcome you to today's webinar. It is part one of our agentic commerce readiness series. Our goal is to provide you a practical playbook to prepare your products for agentic shopping. If you at any time you, wanna register for part two and part three, you can find it in the docs tab, which is between your messages and q and a tab. So without further ado, I'm gonna introduce our host for today. We have three amazing hosts. Randy Clough is a solutions consultant here at Salsify. He'll be providing a demo of what our director of product marketing, Nathan Teplow, is going to be presenting today. But we're gonna kick things off with Lauren Livak-Gilbert, who is the executive director of the Digital Shelf Institute to kinda give us a good industry framing of today's topic. So without further ado, Lauren, Perfect. take it away. Thanks so much, Rae. Hello, everyone. It looks like we have people from all over the country and world, actually. We have people from outside of The US too. So welcome. Thanks so much for joining. Like Rae said, I'm gonna anchor us a little bit on what's happening in the industry at a high level around the strategy, and then and then Nathan and Randy are gonna come on and show you kind of the how, behind that. So I like to start with this slide because as brands and retailers, you are being being bombarded with change. Everything's changing. The way consumers discover products, the way you have to optimize for agents and algorithms and consumers, the way you need to now make your content machine readable. There's a lot going on in the industry today. And these are all kind of new experiences that we're going through. If you think back to the start of ecommerce, first, people were like, oh, no one's gonna buy anything on the Internet. Look at us now. And then you've got d two c and marketplaces and social selling with TikTok shop and all those other social platforms. And now we have agentic commerce. And I really love this slide because it's important to note, it doesn't take away anything else. People still shop in store. People still shop online. People are now using LLMs and agents to shop as well. So it actually doesn't take anything away, but it does add a layer of complexity to what you're doing, but we'll talk a bit about that. So you're wrestling with a lot of new realities. You have agentic commerce, the agentic shelf, making sure your content is machine readable, AEO, GEO, LLMO, ACO, insert whatever acronym that you would like, but basically making sure that you're showing up with agents. And then there's also agentic transformation. How are you changing the way that you work internally? And so to kind of get my head around these things, I like to bucket it into two groups. You have the external change. So how you show up to your consumers, to your shoppers, on your PDP, and all of your different channels. And then you have all the internal changes. How are you operating differently? What does your org structure look like? What are your ways of working? And so I'm gonna dive into each of these two sides of things today. First, let's tackle the external change. I think that's the thing that is the loudest in the market today and probably the thing that people have the most questions about. So you may have seen this slide before. It is my absolute favorite slide because I think it is a perfect visual of why this matters. And I always like to say to people, if you are talking to your leadership about why you need to think about the agentic shelf and why it's important, this is a perfect visual to start with. Consumers used to have 200 to 500 items on the shelf, and they still do when they go into a physical store. On the digital shop, there can be over a 100,000 different products. On the first page of Amazon, whether it's mobile or desktop, you have between 10 to 60. In chat GBT, as of today, when you get a comparison chart, there's five different products. But at the end of your chat with a chat GBT, it recommends one product. So you need to make sure that you are that one brand that is being recommended, and it does require a change in your overarching strategy. But I like to say to people take a deep breath because you haven't seen a change like this before, but the pace is much faster than it ever has been. Just for context, it took about four years to reach a million users on the Internet. About six months on TikTok took five days on ChatGPT. This is a speed that we have never seen before from a technology perspective, and it takes time for US brands to change the way you work and your strategies, and that's why you really need to start now. And everyone has access to the same technology. Anyone can go out and use Claude or ChatGPT or Gemini, So it really levels the playing field, and the differentiating factor here is how you execute as a brand. So you're now dealing with multiple different shelves. You have the physical shelf, which everybody's used to, the digital shelf, and now the agentic shelf. So you're actually optimizing for consumers, for algorithms, and for agents. And each of those different kind of parties are interested in different things, different types of data, different information, and we'll get into that a bit in a couple of slides. But I also like to set the tone around agentic commerce. As an industry, we have not really aligned on one definition. There is a lot of debate out there around what agentic commerce actually is. I think about it on the spectrum. So true autonomous agentic commerce where an agent has your credit card, is performing on your behalf. That's the right hand side of the spectrum. I do not think that we are there yet. There are some capabilities through Google to be able to do that. Consumer adoption is not there. I think there's a level of trust where, do you really wanna give your credit card to an agent who could buy $500 of toilet paper you don't need? Not sure. So that is on the far side of the spectrum. I don't think we're really there yet. Most of what we're seeing today is AI assisted discovery. I'm going to a Gemini. I'm going to a chat GBT, and I'm saying, what's the best gluten free cracker for travels? Or what should I feed my five year old who's allergic to dairy and is a super picky eater? That is where we are today on this kind of spectrum. Delegated shopping is also an option as well, so repeat buying within certain guardrails. But that's what we're talking about when we're thinking about agentic commerce, and all of those things are centered around your data. Your data is super critical in order to win on the agentic shelf because an agent only knows the information that you're feeding it. And so a great way to kind of think about how do I tackle this, how do I build this into my strategy is through the five c's. So Nathan Teplow going to tackle some of these as well, but I'll, at a high level, kind of talk about each of them. The first one is completeness. You have to have fully built out content. Product titles, taxonomy, descriptions, everything about your product needs to be in there. That's the the baseline. If you don't have that, an agent is going to pass over your product. So number one, completeness. Number two is context. Completeness is super familiar because we've been worrying about that on the digital shelf for the past thirty years. Context is a little new. In terms of searching, when you use traditional SEO, consumers use two to three different prop words, excuse me, when searching. With an LLM or with an agent, they use 13 to 15 words. They're adding additional context, like I was just talking about, the five year old with the dairy allergy who's a picky eater. So you need to add additional context to your PDP, to Salsify.com, to all of your content. So when someone goes to an LLM and asks that very specific question, your product is recommended. The context layer is super critical here, and I find that it lives in a lot of places and even in the brains of the people that work in your organization, and you need to have a source of truth for all that information. The third c is citations. So citations equal trust when it comes to agents. The more you're talked about, the more places that you're referenced, the more trust. So it depends on the category. It could be the New York Times. It could be a recipe website. It could be Reddit. It really depends on your product and category, but it is so important to understand where those citations are coming from. Correctness. We all know this on the digital shelf. What you send to the digital shelf doesn't always end up there. So it's really important to make sure that your brand and your product is being properly represented. And last but not least is customer acquisition. That's the conversion piece. How are you making sure that all of this is driving conversion and tying all of these things together? So if you think about your existing strategy, this is in addition to what you're doing with the digital shelf and the physical shelf, but it's a great way to kind of frame it so you know what to tackle first. So in terms of those external changes, what do you need to focus on? Clean data, source of truth, fully built out PDPs, having a machine readable AEO strategy, understanding your processes from end to end so that you can get all of this set up, and also making sure you're allocating budgets. We are all learning this. Nobody is an expert because it changes so quickly. This is the information we have today. Next week, something might change. So you need to be agile, and you need to be able to test and learn and see what's working. So that's that external side of things. Now let's tackle the internal change. And, actually, I think this is the most important piece and the one that's talked about the least. How you operate is really going to distinguish each brand from the digital leaders and those that are a little bit further behind. We have all been through and are going through digital transformation. Most organizations are nowhere near complete from a digital transformation perspective. But now there's this new transformation that's come out, which is agentic transformation, which is happening in parallel. Now there is an opportunity for agentic transformation to accelerate your digital transformation, but it does not mean that that ends. You still need to focus on your data, your source of truth, great best in class content, processes, and workflows. But this agentic transformation adds a layer of AI where you can do more at scale and more efficiently if you change the way that you work. And when I say agentic transformation, what I'm actually talking about is a fundamental shift in how organizations work, think, learn, and make decisions. We're entering this world where it's a hybrid model of people, technology, and agents all working together. In the future, you might have four agents that are on your team. You might be managing a team of 15 agents. But in order to be able to support that, your organization needs to change from a cultural standpoint and from a change management and education standpoint to know what that looks like. The true outcome of agentic transformation, like, what does a beautiful world of an organization that's focused on that look like? It means decisions move much closer to the data. Human shift from doing the work to orchestrating the work. Organizations are more adaptive versus reactive, so you can move on a dime because there's a new trend or something that's coming out. And the most important part and hopefully one that everyone on this webinar really, really wants to change is breaking down silos. Consumers never have seen channels or functions like sales and marketing. Those silos cannot exist in this world of agentic transformation because it will slow you down. Smaller brands don't have those silos, and it's easier to move quickly, create content, and get concepts live. Silas need to break down in this agentic world, and AI is an awesome opportunity to be able to do that, to share information across the entire organization. So I actually find agentic transformation not scary, but exciting. You can finally do the things that you haven't been able to do. I remember when I was on the brand side, I never had the ability to hire 15 new people, but if you have agents who are creating content, optimizing content, creating imagery, You can do so much more that you haven't been able to do, and it can also free up a lot of your time. So my challenge to everyone on this call is look at your job description. What can AI unlock from you, and then what can you do with that time to be more strategic and to be able to look ahead to what's coming in this next era of commerce? So what I will leave you with is the agentic transformation framework. So how do you think in an organization about moving towards more of an AI native company? We talked a lot about data and technology, and Randy Clough and Nathan Teplow are really going to hone in on that. The talent and culture are so, so important. I really encourage you to take time with your teams, to take time with HR, to talk about what a cultural shift this is going to be. Because if someone's been doing one job for twenty years and then you tell them that AI is coming in and can do a lot of that, There could be a sense of fear, but there's really a sense of opportunity here. And so making sure that you're having those conversations now. Then that context and governance layer like I was talking about before, you need that inside your organization too so you can connect functions, so you have all of the right data for all of your products. This also introduces new jobs. Do you have someone who's focused on AEO? Do you have a task force around AI where people cross functionally are meeting and talking about what's working and what's not? It does affect the operating model. And then the underlying factor of education and change management is super, super critical. I've said this a lot. This is a big change, and it is going to continue to change. So education cannot be segmented. How are you staying up to date on things, and how are you keeping your teams and your organizations educated to be able to support this? So what I will leave you with is this is an exciting time. I think there's a lot of opportunity, but just making sure you're very intentional about what this change means for your organization. So I am now going to pass it to Nathan Teplow who is going to dive in and talk a little bit more about the how. Awesome. Thank you, Lauren Livak-Gilbert. Nice to be here, everyone. I am Nathan Teplow Teplow, director of product marketing. It's nice to see a lot of familiar names, of attendees here. So excited to be here. And Lauren Livak-Gilbert did a great job of setting sort of the overall landscape and and context about what's going on in our in our space. What I wanna do is sort of bring it down to, you know, some of the tactical stuff that that you all deal with from a product data standpoint and from a PXM standpoint. What is the impact of agent to commerce on PXM? And the question that you're likely faced with is where is your growth gonna come from over the next two, three, four, five years? And, as Lauren Livak-Gilbert kind of alluded to, like, we aren't getting more consumers necessarily. It's not like people are buying more groceries or buying, you know, more gifts or whatever it might be because of agent to commerce. But the mix is changing. Right? So the pie is not getting any bigger, but the way that consumers interact across these three different shelves is changing. And the way that you're able to drive growth in this new era is winning more at bats. You have to make sure you are winning the at bats when a consumer arrives at one of your PDPs, one of your experiences, or is searching on on the agentic shelf. So there's really two primary growth engines when you think about it. Like, the we don't really see the physical shelf, physical in store shopping growing massively. And sorry. I'm seeing some chat. It looks like everyone can hear me. I I see some thumbs up. Okay. Cool. So you have to, again, win those at bat. So the the the first growth engine is really the the digital shelf. Right? You need to make sure you are maximizing your performance across the digital shelf and squeezing out as much conversion as you can on your PDPs. If you are stuck, you know, really focusing on your top 10 or 20% of your your best performing products or maybe just your top channels, you're really leaving money on the table. So you really need to make sure you're optimizing across your entire catalog and across all of your channels. Sorry. I just wanna make sure everyone can hear. I think they can, but, I've seen a couple of chats there. So the digital shelf. The digital shelf is also a foundation, for the agentic shelf. Right? A lot of the way that algorithms and LLMs learn is from scraping the digital shelf. So making sure your digital shelf is tuned up, you know, helps inform the agentic shelf. And the agentic shelf is the second growth engine. Right? How do you ensure that these agents are able to understand and recommend your products? So how you optimize and create product content across these three shelves is what's gonna drive growth, in this next era. So as Lauren said, there are three audiences that you really need to create your content for, and it has to serve you know, your your content has to serve all three of these audiences. One, the consumers. Right? Like, shoppers are still human. You still need compelling, emotionally resonant product content to appeal to those consumers. It has to fit the algorithm. Right? You have to align your keywords and your content to drive discovery on those traditional search channels. And then then now you have the agents. Right? And this isn't just basic keyword matching. You have to enable these agents to truly understand and recommend your products in these dynamic conversations. So how do you do this in the agentic era? Context. Right? Context is really what's going to drive commerce, in the agentic era. Buyers are now supplying way more context and intent in their searches. Right? If you think about the old way, you'd pack basically your entire shopping intent into a few keywords like, durable hiking backpack or, like, keto friendly snack. Right? And then you have to go and sort through all the different options and find the product that's best for you. As a as a shopper now, you can pack all of that context and buying intent into your prompt. And then the algorithm, the the LLM goes and finds or the agent goes and finds, and recommends products on on, you know, your behalf. So as a brand, you need to match this depth of new information and context with data about your products. And so Agenta Commerce requires a new depth of of product data. Right? You still need the logistics data. You still need that, you know, traditional PDP marketing data. But now you need all that content that's gonna power those conversations, on the AgenTek shelf. And this is things like use cases for your product. FAQ content, LLMs love things in structured q and a format because it helps them directly answer the sort of nuanced questions they're getting on on the prompt side. FAQ content's huge. Strengths and weaknesses about your products, brand voice and guidelines, where where to buy. This is the context rich fuel that LLMs and chatbots are really looking for. So we wanted to do a quick poll. We wanted to get a sense of where everyone is is at today. And this is a simple yes, no question. I think Rae is gonna get the poll, launched right now. We just wanted to know, do you currently have in in your in your PIM or, you know, wherever you keep your product data, do you currently have content stored that is intentionally built for AI agents? Things like a structured FAQ content. So I'll give a few minutes to see how the poll shapes up. Maybe, I don't know, five or ten more seconds. And then, I don't know, Rae, if you can, close this when we're ready. Okay. So I'm seeing a few changes here, but it looks like, you know, 15% less than 20 already have less than 20% have, you know, content intentionally built for for LMs. Rae, can I get back to the presentation? There we go. Awesome. So, yeah, that's what we're kinda seeing across the board is that, you know, brands aren't really prepared for this new reality. And this is just one of, like, the many things you have to do when it comes to agenda commerce. Like, this is just one of the content types. You've gotta go and share that out. But, you know, we still hear a lot of the same challenges. Right? Like, your content is scattered across lots of different places and, you know, you can't get to market fast enough. And in this new era, this new reality, there's only gonna be more data that you have to manage, all of this sort of context rich data, things like FAQ content, like use case content, like strengths and weaknesses. Right? There's new channels you have to reach and influence, and everything is moving at lightning speed. Right? You just have to operate at a faster pace. And in fact, LLMs actually prefer fresher content. So the the the more you the more you're able to update your content, the better you're gonna perform. So you have to even operate at a faster pace. And all of this has to be done with the same resources. Like, teams aren't getting bigger. Right? Budgets aren't drastically increasing. So what do you have to change for this new reality? And that's where the right system really comes into play. Right? And it's exactly what PXM should do in this new era. It should serve as the engine that enables you to feed every shelf with the data and context that it needs to understand your products and drive purchases. So what does this mean for the agentic era? Let's break it down a little bit. First, your PXM has to be able to manage your entire library of of data and context, the product specs, the logistics data, the marketing content, and this new level of of the context rich information that that you have to provide to LLMs. Second, it's gotta be able to enable your team to work at machine speed. Like, the only way to keep up, with this new reality and keep pace is to use AI to your advantage. And finally, it has to be able to power experiences across every shelf, physical, digital, and agentic. Because if you can't ultimately get your content live, your products are never gonna be found and recommended. And that's exactly what Salsify is built to do. We are a unified platform that's purpose built around these three key pillars. We serve as a system of record that allows you to create that central source of truth for all of your product content and that additional context that's required to go to market. We serve as a system of action that allows you to orchestrate and accelerate work across both your human teams and also AI powered agents. And finally, we serve as the system of delivery that enables you to reliably deliver your product content to every destination across the physical, digital, and agentic shelves. And when you package this all together into a unified platform, this is what creates that intelligent engine that allows you to work at machine speed. And with Salsify, you can create that trusted source of truth. You can import it from different data sources and create a real foundation of high quality AI ready data. We have intelligent automation built at the core, which allows you to leverage agents and AI powered workflows to dramatically increase your team's capacity. And finally, the platform doesn't just stop at data management. It's truly connected to the commerce ecosystem. And we have a global syndication network that's built right into the platform. It's built on two way integrations and an AI powered validation that enables you to publish directly to your trading partners with speed, accuracy, and confidence. And altogether, this creates that trusted foundation of both data and intelligent automation that you need to ensure your products win in this next era. And we're gonna go through all of these different systems throughout this webinar series and touch on different components of our platform. But it all really starts with the right foundation. Right? AI doesn't necessarily fix bad data. It only amplifies that bad data. So if you don't have the right foundation of high quality, AI ready data, the rest of the engine just doesn't work. And it's not just your your data model that we're talking about. It's also sort of the operations around your data, like ensuring the right processes are aligned, that that internal transformation that Lauren talked about, making sure that people are aligned around a new way of working, about working with agents or working, you know, with different types of of reviews and approvals needed. So making sure the right people are working on the right tasks. And with that, I'm gonna turn it over to Randy who's gonna show you how to establish the stress of foundation with Salsify. Perfect. Thank you, Nathan. Let me get my screen sharing here. How is everybody today? And they can't reply because it's a webinar, but my screen should be popped up on the screen here. Can you guys give me a thumbs up if you can see it? Perfect. Awesome. Well, my name is Randy Clough. I'm out of Jackson, Tennessee. I'm a solutions consultant for Salsify, and I'll be taking you through the live demo of Salsify today. So what we'll walk through is a product page looking at all the contents that's in there, highlighting some of the new AEO content that we're seeing from customers putting in here and and getting ready for that agentic search. I'll also show you governance. So how do you look at and set those rules for your products to make sure they are at a 100% so you can move forward with syndication and making sure your products are ready for that next stage. And then we'll look at workflow. So how do we automate these processes and make sure the right teams know that the contents need to be created? And then leave it off kinda at the end of how we send from workflows over into our intelligence suite, and then we'll pick that up in the next webinar. So kicking off here, we have our product page of Salsify. This is an example of a Salsify athletic sweatpants in green and a small, size here. So on this page, you have all of your product record information. So your IDs, your names, your marketing content, your taxonomy, your statuses, your AEO intelligence suite content, logistics information. All that's gonna live in here as well as your assets. Everything that you're gonna need for that product to be great out there as you're selling your product. So we have that information. We also have property groupings. You can group these in different groups and quickly identify. Here's all my product details. Here's my logistics information. So the teams coming in here to work can quickly get to whatever they need to take care of and and bolster in your content there. We also have a very robust data hierarchy. So you'll see up here I have a style, color, and size. So what this is used for is I might have 50 different options of different colors and sizes for this product, And I can build this hierarchy where I set some of this basic information at the style level that's gonna cascade down into my color and size. And so you'll see that cascading through these little chain links on your properties here. So anywhere there's a chain link, that data is cascading in here. So what that allows me to do is my teams, when they need to go edit this product, they don't have to do it 50 different times for each of these products. They do it once at the style level or once at the color level, and it's gonna cascade for all these other products. So one touch point instead of 50 different touch points, saving a ton of time for your teams to be able to go in there and and edit and take care of your content. You'll also see you can break these at the lower levels. So this name here, there's a broken chain link. I've defined different name at the top level, but I've broken it here so I have different content for this small variant of this green product. Moving on, I wanna show you something really cool, which is our AEO intelligence suite content. So this is new content that we're seeing pop up from a lot of our customers as they're looking to not only go and have content created from AI tools but also you know syndicate this online and have it available on their web pages for AI and LLMs to come and crawl in here. So we're seeing things like brand guidelines or brand stories where you store maybe a PDF or or even the text there of this is my brand. This is what it's all about. And so when you write content or when you're crawling my page, I wanted to kinda get a look and feel of my brand. We also have style guidelines that help the AI when it's going through and writing maybe a product name there, understand what you're looking for in that style. Or, for bullet points specifically, maybe I want eight bullet points, and I want the first two to be product information detailed. Or the next two, I want it to be specific to, the brand and the brand voice in here. And you can put all that information in your style guides. And then you have all this context piece, that that second level of the five c's that Lauren was talking about where you have all this context information that you can share out, and you can use this for generating your content or share it online. So we have use case content or q and a content. And all of this can be also helpfully generated through our intelligence suite piece, which we'll probably show you in another webinar there, but great content to have on your product pages. Another really cool thing about this is we're looking at AI content is we have this activity page on all of our products in Salsify. So any change that happens to your products, it's logged in here. You can see when it's published out. You can see when a property is updated. And I'll take this name, for example. Right? When we're looking at AEO and you've generated a new product name for this product, and then it's just not working out. It's not it's not getting you the boost in your sales you want to. You have the option here to revert back to my old product name. So I can click that revert back, and and all that context is still in there. Okay? So you don't have to, take that new product name and then just run with it and not have that old content. You can revert it back if needed for whatever reason. So that's your product page. This is where you're gonna store all that content. The other thing you're gonna see on here are these red triangles. So these red triangles come from our governance rules, which we'll jump into. And these are set in here so that you can make rules in your content that my content that's looking for this product in Salsify has to meet these rules. Right? So feature bullets. I have to have at least eight values. There's a flag here because I'm under that for some reason. Over here on product status, this needs to have at least one value. I need to put it in here. And this is all just flagged so you can understand where my product content's at and what's needed so that I can get it ready for syndication or AEO readiness, whatever I've set those rules for. And we'll jump into those rules. As you can see here in our taxonomy and validations page, I'm under products, sweatpants, looking at that green sweatpants product we had before. But you can also make these rules for any of your other products. So you can make different rules for your bottoms or your jackets or your bikes or fishing gear, anything that you're storing in here. So in this sweatpants example, I have all these rules set on my product page. I can also say that I want q and a content to now be a requirement. I can click that q and a content. I can drag it into my selective properties for rules, and then I can make a rule here. Right? I can make sure that there's a minimum value on that q and a content, and that's gonna make it pop up and say, hey. You need this content for your product to be ready if or it's outside of your text on your rules. So all these rules you can set up for whatever your use cases are, whether they be getting ready for AEO or getting ready for syndication or just making sure that you have all the content you need to feed your systems as you're syndicating out of Salsify. The next thing I wanna talk about is workflows. So workflows is that engine that we kinda talk about, right, where it's the bridge between you have your content in Salsify, and you need to get it ready for the next layer. And you wanna automate that those steps throughout that process. You might have a business process for all new SKUs that come into Salsify or your PIM here. They need to go through this process. So you might get a feed from the ERP. It's gonna be the skeleton of your product, and then it's gonna need marketing copy. It's gonna need digital assets. You're gonna need, different status values to know where it's at in that life cycle here. So that's what workflows is all about, and we have several different use cases for them. What I'm gonna walk you through here is a new item set up. So any workflow that we have has a trigger that kicks this workflow off. In this case, this one is products created today. So anytime there's a new product in here, it's gonna kick off this workflow. You can set several different other rules in here. You can even do it by date or when a date's met, then I wanna kick this off. So you can refresh your content on a thirty day basis. I want all new, you know, bullet points every thirty days or ninety days. You could kick that off through here in the trigger. You can also manually kick the manually kick these off if you need to. But some of the things that it can do, and I have a few different here we'll walk through. So the first thing, it can make product edits on your product data. So in this case, I'm setting the status to in progress. So as a new SKU comes in here, I want that status to be in progress. But you can also do this for maybe you have a brand and there's brand information you wanna set on there. So you have that trigger. If it meets this brand, I wanna automatically fill that product with this information so you can make those product edits. You can also collaborate with your other teams that are in Salsify or external from Salsify. Right? You can send over, proposed digital assets. So this is a task that the digital asset team is going to get. This is gonna notify them that this new product's been created. They need to propose digital assets for it. So they'll come in and import those digital assets. Same for logistics content. It'll be sent over to the logistics team, and they're gonna have a notification or a task. And they're Salsify that lets them know that this new product's been created. It needs logistics content. You can also send notifications outside of Salsify. So if you have, a leadership team that needs to know anytime a new product's created, you could get put them on the send to, and they will get a notification that something's been created in Salsify. And this is all business user friendly, so you don't need some, person from your IT to come in here who knows how to code. You can take these widgets and add them directly into your workflow as as you build it out here. So you can do several different things like taking actions or guiding, instructing, connecting external tools, just different things there that you can do through your workflows. The next thing we have in this workflow that I've built out for new item setup is an approved content. This one here, we're gonna get back to in just a second. So approving content. So all of this information is complete. The marketing team has proposed their digital assets. Logistics team has proposed their content. And then you have that review step. So this might be, a manager or somebody that oversees the product. They're gonna approve all that content that comes in there and give it the final check off before it's live in your product page. And then you can do things after it's approved. Right? You can set that status to active. It's now product that's ready to go. You could make publishes directly over to Amazon. So once I've confirmed all this content's good to go. I have everything I need for my products. Go ahead and send that publish out so nobody has to go into channels and publish that out. And send an email. Send an email to that leadership team or or whoever needs to know about these products are ready to go. So these are just different things your workflows can do. We also have our intelligence suite built into this, and that's what this piece is here. We'll talk about it more in the next workflow. But in this, you have this new item set up. Product's been created from your ERP. I want the intelligence suite, our AI tool, to go ahead and write me descriptions and features. It's gonna propose that content of those descriptions and features. It's gonna go into approved steps so that human in the loop before it's live in your product page. And they're gonna approve it, and it's gonna go forward. The last thing I wanna hit here is our workflow library. So this this workflow that you see here, we have several different use cases that we've seen from customers and things we've seen internally that are high use cases for for different reasons here. So these are all installable workflows where you could take this and say, I need to or if I convert pounds to kilograms. Right? I can take this use case. I can read more about this workflow, and then I can get started with it and install it right into my org so I can get rocking and rolling with this workflow. And you can do that for any of these and then configure them from there. So say I wanna start with this convert pounds to kilograms. Once it's converted, I wanna send that out, and I can add extra steps into this workflow. Cool. That brings me to the end of the live demo. Hopefully, you guys saw some value in it. And I'm gonna pass it back to Nathan. He's gonna answer some questions here. Awesome. Thank you, Randy. So we have our question and answer section. We've got a number of questions in the queue already that I will, toss to our group here. But please add your questions into the q and a, and we will, we will get to them. First one here, this one is for you, Lauren. Does the content and the the context need to be changed based on the agent? We have specific content variations for retailers. Do Do you have to kind of apply that same methodology to AI channels like Chat, TpT, Cloud, etcetera? It's an excellent question. So the difference between agents is more about what they cite. Meaning, like, a chat g p t versus Amazon Alexa versus a Sparky, look for different things. So in terms of context, you don't have to have a specific persona for an Amazon versus a Sparky, but you do need to make sure that you're showing up in all of the places that those specific agents cite. So for ChatGPT, they're very, very focused on, on earned media. On Amazon Alexa, they're very, very focused on UGC. So making sure that you have all of the pieces based on the specific agent. And in the report that Rae put in the doc section of this webinar, the five c's report, if you download that, there's actually a table that breaks down each agent and says what it prioritizes. So it's a great place to start. And one of the reasons you kinda need to be everywhere at the same time because these agents sort of triangulate across different channels too. So that's why having all of your channels tuned up optimized is critical. It's not the same as, like, just a single feed to one of the retailer channels like like in the past. And that's where something like a brand.com is really important. Even if you don't sell your products on a d to c website, you might just have a about the brand page. Number one, make sure that you're allowing agents to scrape that page. That's number one. But after that, that's a great place to put FAQs, images, ingredients, recipes, depending on your category. Use that because agents are also scraping that, and agents look at authority too. So if you're a brand site, I was working with a brand who had to chain basically, someone was saying something incorrect about their brand, an influencer. And so they updated their brand.com with correct information to dispute that claim. And within a couple of days, the LLM actually cited their brand site. So brand.com, if you haven't talked to people in your organization who own that, you should. It's a great opportunity. Cool. Thanks, Lauren. One housekeeping question. Someone asked about the recording to this webinar. Yes. You will receive a recording, and you can share that to your teams, internally as well. Alright. Next one here. This one's probably for you, Randy. This is, more of like a product question. But, are you housing retailer specific content on every PDP page within Salsify, things like the product name descriptions? Maybe just talk us through how the PDP that you filled in Salsify sort of translates to some of the retailer channels that we also talk about. Yeah. Absolutely. So we are seeing that, and you could really do it two different ways. Right? You could store that as specific properties on your product page. So Amazon title, I see here, or Amazon bullet points. Right? You can store those on your product page. You have them for syndication later. We also have our channel side of Salsify, which I didn't show today. But in the channel side, you get your Amazon required attributes, and then you map those to properties that you have in Salsify. So in that mapping, you could also put in formulas. So you can change up or concatenate fields together if you have a specific way that you send your titles over to Amazon. Right? So if they need brand, name, they need dimensions on it, you can concatenate that in the channel. Not ever have to store on your product page. It's really just whatever approach you wanna go at either one of those. Cool. Thank you, Randy Clough. Mhmm. Another question here. This one's probably for Lauren Livak-Gilbert. Could you share going back to your five c's, this person mentioned a six c, continuity, which I haven't heard of. I don't know if you have any thoughts there or if it's something you've explored, but, thought maybe we could dig a little bit deeper on that one. Yeah. We only have five c's, but I I like the thought about a six c being continuity. But what I would say is that fits into completeness and correctness. So making sure you have fully built out content and it's consistent and correct across all of your channels. So I think that's kind of assumed in those two c's, but I do agree that consistency is really important. So, for example, if on yourbrand.com, you say that your product is wheat free, but then on Amazon, you call it gluten free, that's inconsistent. Right? An agent might not know that wheat free is the same as gluten free, and you can take this example for pretty much any product. So consistency of your brand, of your product information, of use cases, and category information is really, really important. Cool. Thanks, Lauren. One for Randy here. Where does the Intelligence Suite property content published to? I think this is asking about the the FAQ content that you you showed briefly in your demo. Like, how do you actually where does that actually go to? Yeah. Yeah. Absolutely. So the different workflows that you have there, you get to kinda define where those properties end up. So, like, if we're looking at rewriting your title with the best AEO keywords, right, when you go through that workflow, you say what property you want the tool to output into, and they'll get into it, I'm sure, more next week. We'll output into either an existing property you have so you could overwrite your name. Or you can write, and create a property specific to AI title and have it just populate in there so you can have both of those stored in your product pages. So you really it's up to you whatever makes sense for your org and whatever makes sense for your how you wanna own your product data. Cool. Thank you, Randy. And another one for you here, about workflows and Intelligence Suite. Are they all part of an update to Intelligence Suite? If you just confirm how workflows and Intelligence Suite work together. Yeah. Yeah. So Intelligence Suite is built on top of workflows. So it is a add on that you can get, and you can tie those right into either existing workflows. Or on our workflow library that I showed, we have several other use cases of those top use cases we're seeing from customers right now. Right? And we keep adding on to those. So it it's built in that workflow engine, and you'd have, you know, either option to set those up either inside your existing workflows or you can create specific workflows for your intelligence suite tasks. Right. Awesome. I see a question here about it's a very specific question about products and feedback and notifications and stuff. I might, I think it's from, Kevin. I'd suggest reaching out to either your account team or, open up a support ticket. That's a very specific question you have there. I don't think it makes sense to cover here. Do I need to pay attention to feedbacks? I don't know if that's part of the same question, Kevin, but, I don't know. Right? Randy, maybe just take it as an opportunity to talk about some of the feedback that comes back through our channels and how you can use that potentially. Mhmm. Yeah. That feedback is is awesome. Right? You get that feedback right into your platform so you don't have to log on to whoever you're sending content to. Get it right in there to be able to fix that content, resolve it, and then be able to republish out. I would definitely pay attention to those and resolve your feedback issues there and then resyndicate that that content back out. Awesome. That is all I see for questions, from here. So, thank you all for the questions, the engagement, and I will turn it back over to Rae to to close this out. Thank you. Thanks to our amazing host. I just wanted to share, this slide. Part two has been scheduled for September 2, and it'll be featuring, one of our customers, the legacy companies. And so if you are interested in hearing directly from a source that's not us trying to sell anything, then that'd be a great one to join. And then part three is still pending scheduling, but it'll be later in September as well. So if you wanna register, click the link in the doc section, and be sure to also download that five c's report that Lauren mentioned. Thank you, guys. Have a great day. Thanks.