Your Next Customer Might Be an AI Agent. Is Your Brand Ready?
For as long as marketing has existed, the goal has been the same: get in front of a person at the right time with the right message. But what happens when the “person” making the decision isn’t a person at all?
Welcome to the era of agentic AI.Artificial intelligence systems that don’t just generate content or answer questions, but actually take action. They research products, compare options, negotiate deals, and in some cases, complete purchases on behalf of the humans who use them. And they’re moving from tech demos to real consumer behavior faster than most businesses realize.
What Is Agentic AI, Exactly?
Think of the AI tools most people are familiar with such as ChatGPT, Claude, Gemini. You ask a question, you get an answer. That’s generative AI. It generates content in response to a prompt.
Agentic AI goes a step further. Instead of just answering, it acts. An AI agent can be given a goal, “find me a reliable IT services provider in Columbus” or “order replacement parts for our production line”, and it will research options, evaluate them against criteria, and either make a recommendation or complete the transaction itself.
This isn’t theoretical. Major platforms are already building the infrastructure for it. Shopify is developing protocols so AI agents can understand merchant product data and act on behalf of consumers. Google and OpenAI have both launched commerce protocols enabling AI agents to discover products, compare options, and complete checkout. Gartner predicts that by 2028, 60% of brands will use agentic AI to deliver personalized, one-to-one customer interactions.
McKinsey projects the U.S. retail market alone could see up to $1 trillion in agentic commerce revenue by 2030, with global projections reaching several trillion.
Why This Changes Marketing Fundamentally
Here’s the shift that matters for every business, whether you’re a manufacturer, a professional services firm, or a healthcare provider: your brand now needs to be understandable and trustworthy to machines, not just to people.
Consider how a B2B purchasing decision might work in this environment. A facilities manager asks their AI assistant to find a commercial HVAC maintenance provider in central Ohio. The agent scans available information — your website, your Google Business Profile, your reviews, your service descriptions, your pricing signals. If that information is clear, structured, and specific, you show up in the recommendation. If it’s vague, outdated, or buried in marketing fluff, you don’t.
Traditional search: A prospect types “HVAC maintenance Columbus Ohio” into Google, scrolls through results, clicks a few websites, and calls the one they like best.
Agentic search: A prospect tells their AI assistant, “Find me a reliable commercial HVAC provider near our Worthington facility that does preventive maintenance contracts.” The agent evaluates available providers and presents a shortlist — or contacts the top choice directly.
The difference: In the first scenario, you compete for a click. In the second, you compete for a recommendation from a system that’s evaluating your information on behalf of the buyer. Your WHY, why you’re the right choice, needs to be clear enough for a machine to understand it.
The WHY Matters More Than Ever
This is where we keep coming back to the central theme of everything we talk about at Marketing Works. The businesses that will thrive in the agentic AI era aren’t the ones with the fanciest AI tools. They’re the ones with the clearest answers to fundamental questions:
Who do you serve? AI agents need to match you with the right buyers. If your positioning is “we serve everyone,” you’ll match with no one. The more specific you are about your ideal customer, the more likely an AI system is to recommend you when that exact type of customer is looking.
What makes you different? When an AI agent compares three similar providers, it’s looking for differentiators — specific capabilities, certifications, industry experience, service guarantees. Generic claims like “we provide excellent service” are invisible to these systems. Concrete proof points stand out.
Why should they choose you? Reviews, case studies, and measurable outcomes give AI agents the evidence they need to justify a recommendation. A track record of solving specific problems for specific types of clients is exactly the kind of structured information these systems can evaluate.
Sound familiar? These are the same strategic questions that make marketing effective for humans. The difference is that AI agents are less forgiving of ambiguity. A human prospect might give you the benefit of the doubt when your website is vague. An AI agent will simply move on to the next option that gives it clear information.
What This Means for B2B Companies
If you’re thinking “this is mostly a retail or e-commerce thing,” think again. The B2B implications are enormous. In fact, several analysts see B2B as one of the biggest opportunities for agentic AI, because B2B purchasing decisions already involve extensive research, comparison, and evaluation. Exactly the tasks AI agents are designed to handle.
Imagine an AI agent that can handle the research phase of a procurement decision, evaluating suppliers based on capabilities, pricing, location, certifications, and past client outcomes. The companies with well-organized, machine-readable information about their services will have a significant advantage when these tools are standard and that day is approaching quickly.
For manufacturers
When an engineer’s AI assistant is searching for a supplier with specific capabilities, particular tolerances, materials, or certifications, your product data needs to be structured and findable. The companies that organize their capabilities data for AI consumption now will be discoverable when agents start making sourcing recommendations.
For professional services firms
An AI agent evaluating accounting firms or law firms on behalf of a business owner will look for specificity: industry expertise, service descriptions, client testimonials, and clear indicators of credibility. The firms that clearly articulate what types of clients they serve best, not just “we serve businesses”, will stand out.
For healthcare providers
Patients are already using AI to research symptoms and treatments. As these tools gain the ability to recommend specific providers, your online presence needs to answer the questions patients actually ask with real clinical authority, not generic wellness tips.
What You Can Do Right Now
Prepare Your Business for Agentic AI
- Audit your digital information. Is your Google Business Profile complete and current? Are your services described specifically? Would a machine be able to understand what you do and who you serve? If a human has to “read between the lines” to figure out your value, an AI agent certainly can’t.
- Get specific about your positioning. Replace vague language with concrete details. Instead of “we provide comprehensive marketing solutions,” try “we build go-to-market strategies and execute digital campaigns for B2B companies in manufacturing, healthcare, and professional services.”
- Structure your product and service data. Use clear headings, consistent formatting, and structured content on your website. AI systems rely on well-organized information to make accurate recommendations.
- Build your evidence base. Reviews, case studies, measurable outcomes, and testimonials give AI agents the proof points they need. Start systematically collecting and publishing this evidence.
- Start with your WHY. Before optimizing anything for AI, make sure you can answer the fundamental strategic questions clearly: Who are you targeting? What makes you different? What does the customer journey look like? AI can’t figure out your strategy for you — but once you have one, it can amplify it.
The Bottom Line
Agentic AI isn’t replacing human judgment in purchasing decisions, at least not yet. But it is increasingly mediating the research and discovery phase, acting as a filter between your business and potential customers. The brands that make themselves clearly understandable to these systems, with specific positioning, structured data, and genuine proof of value, will be the ones that get recommended.
And the foundation of all of that? Knowing your WHY. Knowing who you serve, what makes you the right choice, and being able to articulate it with clarity and evidence. That’s been the competitive advantage all along. Agentic AI just makes it more urgent.
At Marketing Works, we help businesses build that strategic clarity first, then translate it into the kind of structured, authoritative presence that works for both human buyers and the AI systems that increasingly serve them.