Yext, Inc.

From Architecture to Shipping Product

In June, we described the enterprise market splitting into two camps: companies that want to build their own agents on clean, programmatic data and companies that want finished agents ready to deploy, and we said we would serve both. What changed this quarter is how much of that architecture became product. GoShine fills the brand-level position we committed to building, and Action Center supplies the execution layer we had described as the destination. The MCP interfaces that connect Scout, Knowledge Graph, and Yext's Action agents to customer agents are in customers’ hands today.

New entrants keep arriving in AI visibility, and most of them stop at the diagnosis. Acting on a visibility gap takes an execution layer, and acting on it across thousands of locations or a global Brand takes infrastructure that can’t be built overnight. What we have built over the course of fifteen years is not easy to replicate.

Much has been said about the threat to enterprise software from AI native startups. It is true, that building an interface is easier than it has ever been. However, what we are seeing is that the core business context engine (Knowledge Graph) and the decades of enterprise class infrastructure, execution agents, compliance, proprietary data, and expertise cannot be easily replicated. The advantage is shifting to companies like Yext. We have all the same AI tools at our disposal, along with the scaled and tested infrastructure, client trust and scaled distribution to make agentic marketing successful.

One thing is clear, AI has lowered the bar for building UI that works for specific clients needs. This is a shift, and a very important one. With a complete set of APIs and MCPs, we can now produce different versions of UI for the core utilities and agents we have built. As we have been discussing for the last year, our SMB cohort reflects what happens when we distribute an enterprise UI to SMB customers. We made the decision last year to focus the majority of our energy on our enterprise customers. This has accelerated churn in SMB customers using a mis-matched enterprise product UI. Now that our core platform is fully headless, we are prepared to unveil one of the focused experiments we have been working on to better serve our SMB customers - particularly the single operator, very small business cohort. We recently publicly released a working prototype of Corvo AI. This is a complete re-imagination of the UI for our core Competitive intelligence, AI Visibility, Listings, Reviews and ultimately the entire portfolio of our marketing agents - in a conversational platform that the busy business owner will be able to access through a mobile first experience and increasingly via SMS - allowing action through natural language. This experiment is now publicly available at www.askcorvo.com. We look forward to updating our view on this opportunity in future communications.