What Scout MCP Means for Partners: A Conversation with Yext's Chief Data Officer

The API Is Now the UI. Christian Ward on Scout MCP and the Partner Economy

The agencies that thrive will pair AI's speed with the human judgment SMBs can't get anywhere else. The agency partner that produces a hundred blog posts a week is competing with the AI tool that produces in minutes. The SMB owner who manages listings by hand is competing with the franchise marketer who runs hers through a conversational interface. The work partners have billed hours for is becoming table stakes — and the SMBs they serve are no longer waiting for permission to adopt the tools doing it.

That's the backdrop for Scout MCP and Scout API, which Yext launched in May 2026 — opening Scout's visibility intelligence platform to partners through both a Model Context Protocol server and a developer API. To dig into what the launch means for the partner ecosystem and the SMBs they serve, we sat down with Christian Ward, Yext's Chief Data Officer. His answers cover where AI is actually replacing partner work and where it isn't, what separates the partners who thrive from the ones who quietly disappear, and why he thinks "the API is now the UI."

His responses are below, lightly edited and condensed for clarity.

What AI replaces in partner work – and what it doesn't

1. SMBs are adopting AI – 60% are already using it, and that number has more than doubled in two years. From where you sit, what's actually changing on the ground for partners right now?

SMBs are absolutely adopting AI, but in most cases the depth of that adoption is still fairly beginner-level. That said, the beauty of being an SMB is that if you’re an empowered founder or manager, you don’t have the same layers of regulation, procurement, or internal process that larger businesses do.

High-agency people, which is often the definition of an entrepreneur, have found in AI the kind of partner they’ve wanted for a long time.

For the partner community, that means the bar is moving. Partners will still build websites, create social posts, run ads, manage listings, and do a lot of the execution they’ve always done. But the differentiation has to come from helping SMBs make better decisions. They need to bring additional services, better data, and clearer recommendations to the table.

That’s why we’ve grown the Scout dataset to almost 13 million businesses as of May 2026. The goal is to help partners bring insight into every market, every industry, and every business use case, so they can help SMBs understand not just what to do, but why it matters.

I think partners are in an excellent position to serve more SMBs than ever, but they’ll also face pricing pressure if clients don’t see the value of the service or the human involvement. Human connection is hard to maintain with SMBs because they’re so busy, but I think it becomes one of the most important things partners need to double down on if they want to retain those relationships.

2. We hear partners ask every week whether their business will still exist in three years. What's your honest answer?

I think some partners are worried about the existence of this vertical, but most aren’t. Most recognize that the business is going to change pretty drastically toward a far more efficient model of interaction.

The partners that can figure out how to keep close personal relationships with SMBs, where the SMB feels they are receiving excellent service, useful insights, and real guidance on how to save money and grow their business, are likely to do just fine. But I do think the current financial model is going to change.

A website becomes less of a brochure and more of a conveyor belt of structured data into AI platforms. The partner’s job becomes extracting all of the relevant knowledge from a small business so the market can understand everything it needs to make a sound decision.

That is a very different model from what exists today. It is more intense, but it should also become more scalable using AI.

That’s where data becomes important. Scout turns more than 150 visibility drivers into competitive intelligence and ranked recommendations, which gives partners a way to move from “we’ll execute tasks for you” to “we’ll help you understand where you’re losing, what matters, and what to do next.”

3. The work partners bill hours for today is the work AI is doing in minutes tomorrow. Where is AI actually replacing that work – and where is it not?

Yeah, as I said earlier, I definitely think the economics change. But it really depends on how each digital marketer wants to service the SMB market.

AI can replace a lot of the low-value production work. For example, creating dozens of AI-slop blog posts is not going to move the needle. That’s the middle ground we’re experiencing right now: there’s a lot of content being generated, a lot of it is garbage, and I don’t think most of it is necessarily making a difference.

Where AI does not replace the work is in helping an SMB become one of the best sources of information on a topic, service, or product. That requires partnering with the business to capture real-time information, real changes, real expertise, and real context. That is not easy, and it will require partners to rethink where human capital is focused inside their businesses.

Scout is useful here because it distills 90 total metrics across websites, reviews, photos, and social posts into clearer signals and recommended actions. That gives partners a better starting point for the human conversation.

So in many ways, AI should free up more time for thoughtful dialogue and interviews with each SMB. Today, those interactions tend to happen once a month or so. In the future, the best partners will use AI to reduce the repetitive work and spend more time extracting the knowledge, changes, and nuance that make the SMB genuinely visible and trusted.

Phoenix or dinosaur: how digital marketing partners are adapting to AI

4. You've described partners as either dinosaurs or phoenixes. What separates the two – and what does a partner who's becoming a phoenix actually do differently?

I don’t think I actually call them dinosaurs or phoenixes, but it makes me laugh because there’s some truth in it.

The dinosaurs have done really well for a very long time. AI is another major change in their market, and many will keep moving along as they always have, just slowly disappearing.

But these things take more time than people think. The Yellow Pages are still printed in plenty of places. So yes, you can be a dinosaur and still ride this out for a while.

The phoenix idea is fair, though. The best SMB marketers have been remaking themselves for years. New technology shows up, the value proposition changes, and they adapt.

This moment feels different because partners can now scale without adding massive sales and service teams. Scout can turn a scan into visibility diagnostics, competitive gaps, and recommended services in minutes, not weeks.

Ironically, AI may create more human value by freeing up time for better human engagement.

That’s where the focus should be. Use AI to reduce repetitive work, then spend more time on the relationships and insights that actually matter.

5. You've identified three ways partners can run their business now: fully agentic, hybrid, and human-led. How does a partner figure out which one is right for them?

Thankfully, I don’t think partners have to figure this out from scratch. Most have already chosen a model through the way they built their business. It is a continuum, and a lot of it comes down to economics.

What is changing is that almost fully agentic solutions are now becoming viable. That was not really true even six months ago. So we should expect more low-cost agentic options for a lot of basic digital marketing services.

The answer for many partners is human contact and human relationships. The value moves from selling a digital marketing product to being a marketing partner who is constantly learning, advising, and helping the SMB directly.

But the real decision may belong less to the digital marketing firm and more to the SMB. Some SMBs will still want a human relationship. Others will trade that cost for AI efficiency.

That is going to be one of the most interesting things to watch over the next few cycles.

Why Scout MCP and Scout API matter for partners

6. If AI is making content generation and execution table stakes, why is data (and specifically Scout's data) the layer that doesn't get commoditized?

It’s funny to ask why Scout’s data can’t be commoditized, because it’s not just the data. It’s the data through time.

A lot of people will be able to pull and analyze marketing data. If you ask an AI tool right now to analyze your marketing, you’ll probably get some interesting feedback. Some of it may even be right in the moment.

But the real insight comes from watching your market over time. Who you compete with. What they are doing. What is changing. Why one business is gaining visibility while another is slipping.

That matters because every market is different. Every industry is different. What works in one region may not matter in another, and the competitive set is never exactly the same.

That is the beauty of Scout. It gives partners a local understanding of a much broader visibility problem. It captures business profile attributes, visibility signals, and competitor movement at a scale that is specific to where the searcher actually is.

That is what makes the data valuable. Not just a snapshot, but a living view of the local market.

7. There are already tools in this space. What does Scout MCP do that those tools don't?

There are definitely a lot of tools in this space. I’ve seen at least five or six new AI visibility tools already.

As I like to say, most of them just admire the problem. Scout MCP analyzes the problem, but it also analyzes what everyone around the problem is doing. That is the harder and more useful part.

A classic visibility tool might fan out 20, 30, or even 200 questions. Scout is looking at a much broader local picture across businesses, industries, sectors, and locations to understand how models are finding information, what they are citing, and what they are returning.

But the real secret of Scout MCP is not just the metrics. It is that the MCP can ultimately support agentic execution.

What good is it to analyze the visibility of your brand or SMB in AI or classic search if you cannot do anything about it?

Because Scout is built on Yext, it has the backing of a real-time data delivery platform built for this market. That means website updates, social posts, review responses, listings, and data updates across hundreds of platforms.

So Scout does not just help you see the issue. It helps you understand the market around it, then gives you a path to act.

8. Why did Yext decide to expose Scout this way (through an MCP and API) instead of just building partners a better dashboard?

Look, Mark Benioff said it pretty well. The API is now the UI. That may be a little bit of a stretch, but it is fair to say that many of Yext’s digital marketing partners have long been white-labeling our technology or using our APIs to execute their own vision of what the ultimate SMB digital marketing suite should be.

So from our perspective, this was a natural next step.

The difference is that historically, a lot of that API work was around execution. It helped partners connect their SMBs to our platform and take action across listings, pages, reviews, social, and other channels.

With Scout, we are also giving them access to a massive ongoing dataset that helps them diagnose the market and advise their customers more effectively.

That is why MCP and API access matter. Partners do not just need another dashboard. They need Scout intelligence inside the workflows, products, and agentic experiences they are already building.

So this was a natural extension for Yext, but it was also the path most requested by our digital marketing partners.

How partners can build on Scout MCP and Scout API

9. Yext is now describing itself as API-first and MCP-first. What does that actually change about how partners work with us?

Yext has provided a lot of white-label solutions, dashboards, and partner tools over the years. But many of our partners have also chosen to build on our APIs because they want control over their own customer experience. The challenge with APIs alone is that they can be hard to operationalize at scale. If you are a digital marketing agency with thousands or even 100,000 SMB clients, refactoring every dashboard every time something changes is a real struggle.

So historically, we could release things through the API, but they might not always make it all the way into the partner’s UI. That creates a constant rebuild cycle.

White labeling solves part of that, but it does not always give partners the flexibility they want.

MCP is a nice in-between. It gives partners the speed and flexibility to build quickly, while still sitting on the structure and reliability of APIs. With Scout, that means partners can bring market diagnostics, competitive intelligence, and recommended actions directly into the workflows they already use.

I think this is where the whole software market is moving. MCPs and APIs are going to connect datasets that used to be trapped in separate systems.

10. For a partner who knows they need to evolve but isn't sure where to start, what's the first move?

Almost every conversation I’ve had with our digital marketing partners over the last year to 18 months has been about this question. For anyone looking to evolve, I think there are two things to decide first.

1. What service model do you want to have with SMBs?
2. And what does that mean for your economic model?

The technology is moving so quickly that nine to twelve months from now, it is not hard to imagine fully agentic conversational interfaces that are very difficult to distinguish from a human interaction, at least over the phone, text, or email.

So the first move is not to form another AI committee. It is to get people inside the company building with secure AI tools in an environment where everyone can learn together.

We have found that people approach these tools very differently. Within a few months, you can usually see who is curious, high agency, and ready to thrive in this new operating reality.

That may sound harsh, but I think it is true. The people who are intellectually curious and willing to experiment are going to lead this next phase.

Find those people inside your organization as quickly as possible, then give them real workflows to rebuild.

11. Eighteen months from now …what does a partner who built on this dataset look like, and what does the partner who didn't look like?

I would not frame it as Scout being the only dataset a partner needs to succeed, but it is the place to start. Scout is an enablement layer. It helps your team think much bigger than they have in the past.

What Scout really does is change the way you think about the structural problems around search and visibility. It forces you to move beyond the best practices that have been repeated in industry articles for years and ask better questions.

• What really needs to work here?
• What must be true?
• And just as important, what is absolutely not true?

That is sometimes the funniest and most useful thing Scout tells us.

Partners that use Scout MCP, along with the broader execution capabilities in Yext, will realize that real-time data is about to become the next major requirement for small businesses.

AI is going to demand that from us.

Showing up in traditional search might be based on something you wrote six months ago. AI is going to be much better at understanding the recency, consistency, and reliability of that data. That may be the difference between winning or losing the customer for your client.

So I think Scout is the best way to get started. It gives partners a practical way to understand what is changing, what matters locally, and what actions they should take next.

The partner economy of the AI and agentic era starts now

The bar for partners isn't going away. It's moving. The agencies that thrive over the next eighteen months will pair the speed of agentic execution with the human judgment SMBs can't get from a chatbot. Scout MCP and Scout API give those partners the data layer to do it — a living view of every local market, every competitor, and every signal deciding who gets cited in an AI answer.

Want to see what Scout sees? Read the Scout MCP and Scout API announcement, and explore the Yext partner program.