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This is the AI visibility podcast for business owners and marketing teams looking to learn how to get their business found and recommended by AI. Hosted by Top 20 Business Podcaster Bill Corcoran Jr., the bcjr Podcast shows you how to turn your industry knowledge and business expertise into structured, searchable content that builds authority, improves online discoverability, and increases AI visibility. Bill’s human-first approach to AI visibility is the foundation of the Podcast-Powered AI Visibility™ system he developed to help AI platforms and Google better understand what your business does, who it helps, and what problems it solves.
Agent visibility is about what happens after AI finds you.
AI visibility only gets your business into the conversation.
But what happens after that? I think too many businesses are focused on getting found by AI without thinking about what comes next, because AI visibility is just that: visibility.
When someone sends an AI agent to research companies and compare their options, being visible is only the starting point. That agent still needs to figure out what you offer, whether you're a good fit, and how to take the next step with your company.
So if an AI agent finds your company and determines that you might be the right fit, can it successfully evaluate your business and move toward actually doing business with you?
That's the difference between AI visibility and agentic visibility.
This isn't a futuristic idea. It's already happening, and I think it's a question that every business needs to understand.
So in this episode, I'm going to break down agentic visibility and help you understand what makes an agent move forward with your business or a competitor.
I've been spending a lot of time lately observing, testing, and measuring how AI systems and agents interact with businesses online.
I've already built multiple smaller products to learn how machines interact with other machines, and that work has now expanded into a larger and much more intelligent system that we're currently preparing to test more broadly.
It's not something I'm ready to fully break down yet, but you'll soon be able to use part of it with your own business and see how an agent interacts with the information and experience you've made available online.
I mention that because working directly on this has changed the way I think about AI visibility. The question is no longer only whether an AI platform can mention your company in an answer. The bigger question is what happens next.
Can an agent understand enough about your business to evaluate it, navigate your website, and actually take the next step?
The shift is already happening. xAI, OpenAI, Microsoft, and others have recently introduced more persistent agents with their own computers, browsers, connected applications, identities, and permissions.
Shopify is exposing structured capabilities that allow agents to interact with storefronts and move through parts of the checkout process without relying entirely on the same page-clicking experience a human uses.
The specific products will continue to change. The larger direction is what matters. AI is moving from answering a question to working toward an objective. Research this problem. Compare these companies. Find the best option. Collect the necessary information. Prepare a recommendation. And when properly authorized, take the next action.
That does not mean agents can reliably complete every assignment today. Some can and some can't. But businesses should be paying attention to what other agents will need from them as their capabilities improve.
AI visibility is still the foundation. It asks whether AI can find your business, understand what it does, connect it to a relevant question, and potentially cite or recommend it. If that doesn't happen, your business never enters the conversation.
Agentic visibility takes the question further. Can an AI agent discover your business, evaluate whether it fits the assignment, understand how it compares with other options, and successfully move toward the next action?
That action will depend on the business. It might be buying a product, but for a B2B company, it could mean gathering information, comparing providers, identifying the correct contact, requesting a proposal, preparing a shortlist, or reaching the point where a meeting can be booked.
AI visibility gets the business considered. Agentic visibility helps determine whether the agent can actually work with the business once it gets there.
Let's say a marketing executive gives an AI agent this assignment: Find three companies that could help us improve our AI visibility. Determine which ones work with businesses like ours, compare their approaches, identify any useful proof, and recommend who we should contact.
The agent now needs to answer several questions. What does each company actually provide? Who does it help?
Does it offer software, consulting, managed services, content production, or some combination?
What makes its approach different? Does it have evidence, examples, or useful explanations that support its claims?
What does working with the company involve? And if the company appears to be a good fit, what should happen next?
The agent may not be authorized to hire the company or sign an agreement. But it could still complete most of the research, evaluate the available options, prepare a shortlist, and identify the right next step for the executive.
That's already a big part of doing business, and if the agent cannot confidently understand one company, it may recommend another company whose information is clearer, more complete, and easier to use.
Now here's a simple way to think about your own business. Imagine an AI agent has never heard of your company and has been given one assignment: Determine whether this company is the right fit and explain exactly what should happen next.
How far could it get? Could it clearly explain what your business does? Could it determine who your services are designed for?
Maybe you have multiple services listed on your website. Could it distinguish between the different services? How about evidence? Could it find evidence that supports what you claim?
Could it find information about your approach, process, pricing, capabilities, and locations? And could it identify the correct next step without making assumptions?
A human might click through several pages, interpret vague marketing language, open a PDF, watch a video, and eventually call someone when the answer still isn't clear.
An agent evaluating several companies may simply move to the next option. That's why a website and the content on your website being usable for a person is not necessarily the same as the business being usable by an agent.
The business has to provide clear information, accessible expertise, useful evidence, and a clear path forward. That is the foundation of agentic visibility.
Okay, now where does content fit into all of this?
This is why your knowledge turned into content for your website is very important. An agent cannot properly evaluate your business's expertise if it never makes it online.
It cannot understand how you approach a problem if your website only contains a few generic service descriptions, or who you're best suited to help if you never explain that.
It also can't accurately compare your business with another provider if your real knowledge is never made visible online.
That's one of the reasons a recurring video podcast can be so useful. Each episode gives you a place to focus on one core idea and answer however many related questions are needed to explain it clearly.
One episode might explain how the company approaches a problem. Another might cover pricing, comparisons, common mistakes, or what changes the final recommendation.
That source material can then be rewritten, organized, and structured properly for both humans and machines.
The podcast captures the knowledge. The connected content and intelligence system helps people and AI understand your business.
Agentic visibility asks whether an agent can then use that understanding to evaluate the company and move toward the next action.
That is also part of what we're testing with agents through the larger system we're currently building. The goal is to let a business see more clearly where an agent succeeds, where it struggles, and what may be preventing it from properly understanding and interacting with that business. I'll share more on that once it's ready for people to actually use.
For now, pull up your website, your social media channels, and wherever else you publish content about or for your business, and start looking at it from a different perspective.
Imagine an AI agent has one assignment: Determine whether this business is the right fit and explain what should happen next.
Could it accurately explain what you do, who you help, why you're relevant, and what supports that conclusion?
Could it reach the correct next step without getting lost or making assumptions?
Being found and recommended by AI still matters. But the next competitive advantage may belong to the businesses that AI systems and agents can find, understand, evaluate, trust, and ultimately transact with.
If you found this episode useful, send it to a business owner or the person on your marketing team who keeps asking for more content without being able to explain what that content is supposed to accomplish and how it can be made available to AI platforms and agents.
And if you have a question for me, drop it in the comments, shoot me a DM on Instagram @billcorcoranjr, or drop me a line at BillCorcoranJr.com.