Yext’s Post

Transcript

And yes, comes in here in what way? Like where where are you starting to provide value for your customers that are that who want to appear in these search results? Yeah. So this this one ends up being like the the mobile fragmentation that we saw in the early 20 tens on steroids, because mobile apps were kind of magical back then because you didn't have to tell it where you were. So you you would just say, hey, burger near me or generation. We all became we all learned how to speak search. We all learned how to say insurance agent near me. Aetna Pet Insurance. Yeah, we were speaking search. Yeah, we learned how to speak search our this next generation, my kids, you know, they're friends. They don't speak search. They speak English, right? Or, or Japanese or Mandarin or whatever they speak, right? And what they do is they ask questions and. And increasingly the difference is going to be that AI, you're not going to have to tell AI that you like vegan food or that you like Indian food, but not too spicy because it is going to, it retains the information. So what? Happens in that scenario is brands have to push data to these fragmenting AI experiences much more than they can count on people coming to their site. Because this is what the reality this was the interaction user doesn't wanna link the you to their question. The user wants an answer to their question. Yeah, I mean, so alright, Apple, like, you know, we, we, we have a great partnership with Apple that are amazing. We know how innovative that company is. They have Siri on the phone. They have billions of devices and they've partnered with open AI, at least for the time being. Who knows what the future holds to as sort of the the the the AI back end for for Lee or at least part of it for Apple intelligence. Nobody really knows how much it is. I certainly don't pretend to. But imagine the experience of, you know, me talking to Siri now, which is, you know, hey Siri, it's about lunchtime. I'm hungry, right? The answer to that question, you know, in in 15 years ago, it was burger near me, Manhattan zip code. Right? Now it's hey, Siri, I'm hungry, right? That may be all I need to say. And the answer might be yesterday you had Indian food, you know, would you how about Mediterranean today, right? Yeah, that sounds great. What, what's good? Well, I can order from this place and I can have it delivered to your office like I all I did was talk to my phone in English, right? And 30 minutes later, theoretically Mediterranean food shows up at my office because Siri knows I like that. They know where I work. They know they have my credit card through Apple Pay. None of it has to be it has to be transactional and and the information from that vendor has been sanitized and presented through Yext to all the engines. There might get searched for and all the large language models. Yeah, of course. And so this is the this is gonna be the big challenge for brands is if if the menu is old or the, the, you know, the the ordering information isn't up to date. A pumpkin spice latte in December. Yeah, exactly. If the if the you know, if the item that that Syria suggesting because it knows a lot about me isn't actually on the menu, then then the consumer experience is going to stink because, you know, I'm going to get, I don't know, you know, you who know like I'm going to get some sort of a hey, sorry, I can't. Actually order that let's start over right terrible experience and I'm never ordered from that place again. And so so it really like we've learned as an industry, we've gotten really good the whole SEO and SEM industry exists around the idea of like how do I make myself visible to Google, But the way I make myself visible and transact able to all of these other AI search experiences. If there is going to be fragmentation and there is going to be fragmentation is going to be a different game. It's going to be how do I. Make sure my content is perfect that my menu items are there down to like real time. Hey, this store is out of pumpkin spice latte syrup. So we can't allow anybody to find pumpkin spice latte at the store until that syrup has been restocked. So you imagine behind the scenes the data problem that that creates this is what yucks has been helping our customers do for the last 15 years. That's super interesting is it really is a new opportunity for you to to to offer that up for your customers and and I think. I don't think, I mean you get reading about your company into this week and things, I don't think the markets really figured that out yet. No, Sir. Well, look, and you know, I think a lot of what I'm talking about is what's going to happen in the future, right? And so how, you know, a lot of the conversations we're having with customers is, you know, what we've been building with you. And we have customers who've been doing this with us for the last 12 years. They're just, they're just beginning to realize that having this knowledge graph of structured information that's connected inside their business to their sources of truth, so that when the pumpkin Spice latte comes off the menu, it instantly disappears from the content that you're distributing to the world. So that you don't get this strange, you know, you know, everyone's trying to order a pumpkin spice latte that's not on your menu. Also mean very simple with that companies data. I'm sorry to talk over you. It means that a company's data strategy is really their AI strategy. Yeah, yeah, and and and and that data and content to all of these these applications are indistinguishable. So the you know, there's there's data there's data in a social media post, there's data in a menu item, there's data in on a on a on a page, there's. You know, we spent so much time and money building these these digital experiences that we expect people to come to. And the next phase of this problem is going to be a lot less people coming to our home grown home build digital experiences and having to push those digital experiences to the interfaces that they're going to interface with, which are going to be increasingly the smart conversational AI.