How AI is changing ticket buying: SeatGeek's approach

AI is speeding up a shift that’s been building for years: ticketing marketplaces are losing control of demand. As Jordy Leiser told Sportico, “People aren’t paying enough attention to how fast this is coming and how negatively this is going to impact the secondary ticketing marketplaces.” When AI brokers every transaction, the margins go to zero. That same disruption creates a massive upside for teams. With AI built into their own platforms, teams can personalize offers, predict demand, and strengthen loyalty in ways marketplaces never will. Instead of chasing clicks, they’ll own the full fan relationship directly. https://lnkd.in/g2FvTJEZ

Great to chat with Jacob Feldman at Sportico about AI's impact on ticket buying. AI tools are the fastest-growing products in history. It's not even close. And when your 70-year-old mom is using ChatGPT 10x daily (like mine is), you know the game has changed! Everyone hates bouncing between five different ticketing sites, dealing with multiple logins and intentionally obscured pricing. The secondary ticketing marketplace is a perfect example of friction that benefits the ticketing platforms - and Google ads - at the expense of fans. AI is about to blow that up. Soon, fans will just say "Find me 4 seats together, close to midfield, under $100 each" and get back the best options with seat views, maps and other meta data. It's irrelevant whether the listing is on Ticketmaster, StubHub, or SeatGeek. The AI agent will just buy the seats for you. No ticketing company can compete with ChatGPT's value prop. It will be a far better, faster and cheaper way for casual fans to shop for tickets, and it will become a race to the bottom on ticketing fees. The consumer wins. It will happen slowly, and then all at once. The middlemen who make money from search and ticketing fees should be worried. Read Jacob's piece here: https://lnkd.in/ggD3bsSp

Forbes has just launched its new AI-powered dynamic paywall. This system changes subscription offers in real time based on how each reader acts. It’s an interesting move, but not the first time we’ve seen “dynamic subscription logic” in the industry. The Financial Times launched its AI-driven paywall months ago, and The Atlantic has also been testing variable pricing. The idea of adjusting paywalls to match a user’s intent and likelihood to subscribe has been around even longer. What’s new is how quickly these models are becoming mainstream. As traffic moves away from search and audiences split across different platforms and AI tools, publishers are finally treating subscription logic as its own product, not just a checkout screen. The real question now isn’t who was first, but who will build a system that truly understands the audience well enough to grow revenue without losing their trust.

🚀 Google tests “Ask Anything” in AI Mode for Product Search ✨ What’s new: 💬 New AI-powered Q&A inside product listings 🔍 Lets users ask detailed product questions 🧠 Expands “People Also Ask” into shopping results 🧪 Spotted by Sachin Patel & Brodie Clark on X 💡 Another step toward smarter, AI-driven shopping experiences #GoogleAI #AIMode #Ecommerce #SearchUpdates #RetailTech #DigitalMarketing

🚀 Exciting News from Google! 🚀 They've just rolled out agentic booking capabilities in their AI Mode within Search Labs, initially for U.S. users. 🤖 This feature will transform how we book restaurant reservations, event tickets, and wellness appointments by curating options in real-time, all from within Google! Talk about convenience! 🎉 Imagine requesting a dinner reservation by specifying your preferences and having AI find available slots seamlessly. This capability not only enhances the user experience but also opens new doors for businesses looking to drive conversions directly through Google. As marketers, it’s time to adapt our strategies to leverage these changes! Embrace AI-driven experiences, prioritize personal data privacy, and ensure your content is optimized for real-time bookings. 💡 How do you think this will change customer expectations in your industry? Let’s connect and explore how AI can transform your marketing strategies! 💬 📩 DM us for inquiries or subscribe to our LinkedIn page & newsletters for the latest insights: https://lnkd.in/ehaCjXqg #AI #Booking #Google #Marketing #CustomerExperience #MarTechRichard Source: https://lnkd.in/eyYcrGi9

AI coming for tickets is no suprise. Huge category. Secondary ticket marketplaces spend billions on search. But I am skeptical that the ultimate result is a revolutionary change in how we buy tickets. I believe we'll essentially replicate Google type search but in a AI setting and even that change will still be loaded with friction. I worked at Ticketmaster nearly 20 years ago and virtually zero has changed in how we buy tickets in two decades. Yes, we buy tickets on mobile devices, we use phones for gate entry, mobile-first secondary platforms emerged like Gametime, Seatgeek, etc but search and discovery are basically the same. AI can help personalize elements within reason but there is such an subjective element to what is "best" - is it price, is it near the stage, higher up, next to the exit, with my friends, etc and those elements change with every act, even in the same type of sports events. When you add the complexities of the validity of the underlying ticket, the guarantees of whom is offering that ticket, what a good "score" means... AI maybe doesn't really change the game at all. If each primary ticket can find the right buyer via agentic/personalized means, perhaps secondary trading might be hampered but obviously people's plans change, primary issuers want quick liquidity in scale (i.e. season tickets, on sales), and every single live event is different no matter how much AI knows someone's interests. I look forward to being wrong Sportico! https://lnkd.in/e3q5FVcj

More exciting announcements from commercetools: Agentic Jumpstart is live! 🎉 For our customers, this means a fast, low-lift way to bring AI agents into their commerce experiences, guiding shoppers from discovery to checkout intelligently, safely, and instantly. No massive rebuilds. No endless testing cycles. Just a simple way to start experimenting with smarter, autonomous journeys that anticipate customer needs and deliver results. See how easy it can be to start your agentic journey: https://okt.to/hcGoO9

More exciting announcements from commercetools: Agentic Jumpstart is live! 🎉 For our customers, this means a fast, low-lift way to bring AI agents into their commerce experiences, guiding shoppers from discovery to checkout intelligently, safely, and instantly. No massive rebuilds. No endless testing cycles. Just a simple way to start experimenting with smarter, autonomous journeys that anticipate customer needs and deliver results. See how easy it can be to start your agentic journey: https://okt.to/Fsgpl6

I’ve seen creators spend more time managing merch than making it. Updating listings, tracking stock, handling fulfillment — it all eats into the time that should fuel creativity. That’s why we built FanBridge to automate it all. One dashboard connects every channel, with AI syncing listings, inventory, and orders in real time. Because creators shouldn’t need a full team to run their store — just the right system.”** 🌐 https://lnkd.in/dZw-WaJi #FanBridge #CreatorEconomy #MerchAutomation #AIMonetization #PassiveIncome #SmartCommerce #CreatorTools #EcommerceAutomation #PerformToEarn #FounderInsight

Unlocking Revenue: How LLM Developers Can Monetize AI Apps with Dual Earnings Transforming AI Conversations with Context-Aware Commerce: Meet Monetzly Imagine a world where ads enhance your AI conversations rather than interrupt them. What if developers could monetize their applications not just through subscriptions or paywalls, but by integrating relevant ads that users actually find helpful? Welcome to Monetzly, the first dual-earning platform designed specifically for AI applications. As the AI application landscape continues to grow, many developers face a significant challenge: finding sustainable monetization strategies without compromising user experience. Traditional advertising often disrupts conversations, leading to user frustration and ultimately driving them away. Monetzly is here to change that narrative. Monetzly introduces conversation-native advertising powered by AI-driven contextual matching. This means that ads are seamlessly integrated into conversations, providing users with useful suggestions rather than annoying interruptions. Imagine https://lnkd.in/gk2ERYtq