10 Questions About How to Get Your Business Found and Recommended by AI | Ep.287

If you’re a business owner or part of a marketing team trying to figure out how to get your business found and recommended by AI, this episode answers 10 of the questions I hear most often about AI visibility. I break down what AI visibility actually means, what helps, how to measure it, what type of content works, where SEO fits, and what nobody can honestly guarantee.

I also explain the difference between an AI platform simply knowing your company exists and actually finding, citing, comparing, or recommending it when someone asks a relevant question. Those are different outcomes, and understanding that difference changes how you should think about content, search, and AI visibility.

More importantly, I explain what businesses can actually control if they want to improve their chances of being found, understood, cited, and recommended more consistently over time. The goal is not to chase one lucky citation or publish more content just for the sake of publishing. It is to make your real expertise clear, useful, publicly available, connected to the questions customers are already asking, and measurable over time.

1. What does AI visibility actually mean?
2. How do I help ChatGPT and other AI platforms find my business?
3. How is AI visibility different from SEO?
4. Where do AEO and GEO fit into AI visibility?
5. Why does AI know my company’s name but not recommend it?
6. How can I tell whether my AI visibility is improving?
7. Will publishing more content help me get found by AI?
8. What is Podcast-Powered AI Visibility™ and how does it work?
9. How long does improvement take?
10. Can anyone guarantee AI citations or recommendations?

00:00 Getting found by AI

01:57 What does AI visibility actually mean?

03:10 How do I help ChatGPT and other AI platforms find my business?

04:43 How is AI visibility different from SEO?

05:54 Where do AEO and GEO fit into AI visibility?

07:28 Why does AI know my company’s name but not recommend it?

09:31 How can I tell whether my AI visibility is improving?

11:45 Will publishing more content help me get found by AI?

13:38 What is Podcast-Powered AI Visibility™ and how does it work?

15:28 How long does improvement take?

17:09 Can anyone guarantee AI citations or recommendations?

18:28 Business owners & marketing teams: Where to start

A legitimate business can have years of experience and still be difficult for ChatGPT to find or understand. This episode explains three common gaps: unclear business information, expertise that is not visible enough online, and content that does not answer the questions customers are asking.

Read next: Why Your Business Isn’t Showing Up in ChatGPT (3 Reasons) | Ep.286

Learn how to evaluate your visibility across meaningful customer questions, compare what appears for competitors, and distinguish company-name recognition from independent discovery. This episode explains how repeated checks reveal patterns that one screenshot or lucky result cannot establish.

Read next: How to Measure AI Visibility: Are You Getting Found by AI or Are Your Competitors? | Ep.285

This episode introduces Podcast-Powered AI Visibility™ and explains how a recurring video podcast captures real business expertise. See how that knowledge becomes structured, searchable, connected content that helps Google and AI platforms understand what a business does and where its expertise applies.

Read next: What Is Podcast-Powered AI Visibility™ and How Can It Help Grow Your Business?

Walk through a documented example of focused expertise becoming structured, searchable, connected content, followed by measurement after publication. The results describe what happened in this specific example. They do not guarantee that another episode or business will produce the same result.

Read next: How My Podcast Ranked #1 on Google and Got Cited by AI in Less Than 24 Hours

Explore practical ways to make your business and its expertise easier for ChatGPT, Google’s AI experiences, Gemini, Perplexity, and other AI and search platforms to find and understand. This episode connects useful answers, clear content, and consistent business information to the questions potential customers bring online.

Read next: 5 Ways to Get Your Business Found in AI Search Results

In Episode 286, I covered three reasons your business might not be showing up in ChatGPT. For this episode, I want to zoom out a little and answer the bigger questions people keep asking about AI visibility.

Because you shouldn’t have to work in AI, SEO, or tech to understand what any of this actually means for your business.

AI visibility is how your business appears and is represented when someone uses an AI platform to research a problem, compare options, or decide whom to hire. A mention, a citation, an accurate description, a comparison, and a recommendation are different outcomes.

But “showing up” can mean different things. Maybe an answer mentions your company. Maybe it cites an article you published. Maybe it includes you in a comparison. Or maybe it recommends your business for a particular need. Those are all completely different outcomes, and it matters which one we’re talking about.

Let’s say you run a commercial cleaning business. AI might correctly identify your name and website. That’s useful. But if it describes you as a residential house cleaner, it has the wrong picture of your business. Or it might cite your explanation of how medical offices should evaluate cleaning providers, without actually recommending your company.

So when I talk about getting your business found by AI, I’m also asking whether the information is accurate, whether you appear for relevant questions, and what role you play in that answer. Your podcast and the content developed from it can help explain those details: what you know, who you help, and where your experience applies.

The objective is useful, accurate visibility around the work you actually do.

Make clear, current information about your business publicly available, then answer the questions customers ask before they hire you. Explain what you do, whom you serve, where you work, and which problems you solve.

Your business profiles online and other public information should agree with that explanation. Then look at the questions people ask before they hire you. A commercial cleaning company could explain how to compare proposals, what changes the price, or more specifically, what to ask about cleaning a medical office. Those answers reveal much more than “We deliver exceptional service.”

This is where original expertise becomes very useful content. As a business owner, you can use a podcast to explain these answers at scale. Then repurpose each episode as a useful page on your website with supporting content that points people toward the full explanation. Give those pieces clear titles, connect related pages, and make it ultra clear who provided the information.

Don’t forget to keep your services, locations, and contact details current. Those little details matter more than you think and a lot of people tend to overlook them. Credible references from other organizations can also support the bigger picture, whether that’s an industry association, relevant coverage, or a customer describing their actual experience with your business.

If you need a manageable starting point, choose one important customer question. Check whether your website already answers it properly. If it doesn’t, start there.

SEO helps search engines find, understand, and rank pages in traditional search. AI visibility also asks what happens inside an AI-generated answer: whether your business is mentioned, described accurately, cited, compared, or recommended.

There’s a lot of overlap here and strong SEO still matters. An AI search experience may use a web search to find information. And if your useful content is difficult to access, poorly organized, or unclear, that can limit its usefulness in that process. Think about a podcast episode on choosing a commercial cleaning provider.

Traditional search might display the episode page as a result someone can click. An AI answer from ChatGPT might draw on the explanation from within that page and include a citation, or it might use other sources entirely. Ranking well for a search doesn’t guarantee that the page will be selected for an AI answer.

And an AI citation doesn’t automatically mean your business has been recommended. For a marketing team, the practical move is to keep the search foundation strong while also checking how the company and its expertise appear in AI-generated answers. You don’t have to throw away your existing SEO work to start taking AI visibility more seriously, you just build on top of it.

AEO, or answer engine optimization, emphasizes content that clearly answers a question. GEO, or generative engine optimization, focuses on whether a business and its content appear or are used in AI-generated answers. Both overlap with SEO and with the broader goal of AI visibility.

These two terms overlap with each other and with SEO. People don’t always use them in exactly the same way, so I wouldn’t treat them as three separate switches you turn on, and you definitely shouldn’t focus on just one or two of the three. You need to continuously work on all three. Here’s how they can relate to a podcast episode.

You record a useful explanation of what affects the cost of your service. You publish it on a page that search engines can access. The page has a clear question, a direct answer, and multiple supporting details that actually make the answer meaningful. Then you evaluate whether that information is appearing in relevant search and AI responses. That’s a practical connection between the terms.

You don’t need to memorize every acronym or become some SEO or AI visibility expert, but you do need to understand what someone is proposing to change and why. If the explanation stops at “We’re doing GEO,” ask what that actually means for your content, your website, and the way results will be evaluated.

Recognizing a company when you ask for it by name is different from finding it as a relevant match for an unbranded customer question. A recommendation depends on the specific need and on what the available information actually supports.

When you ask AI about your company by name, you’ve already told it which company to look for. You gave AI the company name instead of seeing whether it would find your company on its own. But imagine a dentist asking, “Which commercial cleaning companies in Wilkes-Barre clean dental offices after hours, so the office is ready before patients arrive the next morning?”

Now that question is about a specific service, for a specific business, in a specific location, with a specific scheduling requirement. Your cleaning company might offer exactly that. But if your website only says “commercial cleaning services,” it doesn’t explain that you serve dental offices in Wilkes-Barre or offer your cleaning service after hours when patients aren’t there.

This is why I care about the substance of your content. If your company actually does that work, explain it. Now take it a step further. What does your team clean in a dental office? What is included in the cleaning agreement, and what remains the dental staff’s responsibility?

How do you arrange access to the dental office after closing and finish your work before the first appointment the following day? A podcast episode can walk through those questions using an actual example you have permission to share.

Then you take that episode and you write a detailed supporting article on your website that can explain the services, the area you cover, and the scheduling options through the answers to all of those questions. Now publishing those details doesn’t guarantee AI will automatically recommend your cleaning company. But it gives AI specific information connecting your services to what that dentist is asking for.

So ask yourself: does your published information show that you clean dental offices in Wilkes-Barre and can accommodate their after-hours schedule? AI recognizing your company name alone doesn’t tell you that.

Document a baseline for customer questions that do not contain your company name, then repeat the same checks under similar conditions over time. Record the exact question, platform, date, answer, and whether you were mentioned, cited, accurately described, or recommended.

Let’s stay with the cleaning company example. You could test something like, “Which companies clean dental offices after hours in Wilkes-Barre?” Then test related questions about comparing dental office cleaning services or choosing a cleaning provider. Keep a detailed record of the exact questions, the platform, the date, and the response. So what you’re gonna do is look at things like…Did your company appear?

Which competitors appeared? Did the answer link to your website or cite an article developed from your podcast? Did it correctly describe your services and the area you cover? Those details matter. AI mentioning your company, citing your content, and recommending your service are three different results. And make sure to keep the search platforms separate.

If Google’s AI Mode cites your article or a podcast episode, record that as a Google AI Mode citation. It doesn’t tell you whether ChatGPT is recommending your company. Then repeat those same questions under similar conditions and document what you changed between those checks to determine if what you changed actually made a difference.

Maybe you published a podcast episode answering a few of those questions, added a supporting article, or corrected some outdated service information on your website. Now compare those results to where you started. Are you appearing more consistently? Is the information more accurate? Are you showing up for relevant questions where only competitors appeared before?

One screenshot records one result. Repeated checks help you understand whether there’s a pattern. A change after publication is worth tracking, but timing alone doesn’t fully prove your content caused it. The purpose is to use what you learn to decide which answers to improve, which topics to cover next, and where your business still needs stronger information online.

That’s just the quick overview, but I did a whole episode on measuring AI visibility and seeing how you stack up against your competitors in episode 285. If you wanna learn more about what to track and what those results actually mean, go check that one out.

It can help when new content answers a useful question or adds original expertise. More versions of the same generic advice do not automatically make a business more visible or authoritative.

So before creating more content, ask if what you’re about to create actually adds more value, but more specifically, is the content you’re creating actually original knowledge? What I mean by that is, does it show how you approach a problem? Does it challenge or correct something people commonly misunderstand?

Are you giving real world examples of what you do, how you do it, and who it helps? That’s why a video podcast can significantly improve your AI visibility because it gives the person with the expertise a regular opportunity to explain those things.

One episode might cover what affects pricing, another might explain how to compare providers, and another could walk through a real situation and what changed the recommendation. Those are related subjects, but each has a different purpose. AI can help organize that material, but the business’s knowledge needs to remain at the center.

My philosophy on AI is simple: AI should support the content, not become the content. So don’t publish more just for the sake of publishing more. Focus on consistently turning what your business actually knows into useful content that gives people and AI something specific to understand, cite, and use.

Podcast-Powered AI Visibility™ is the system I created to turn a business’s existing expertise into connected content that can improve how it is found, understood, cited, and potentially recommended by AI. The podcast captures the knowledge; AI visibility is the objective.

The problem is, most of your business expertise never makes it online. It stays trapped in sales calls, internal meetings, emails, everyday conversations, or in the heads of the people doing the actual work. So the first step is getting that knowledge out of those conversations and into a format we can actually build from. That’s where the recurring, solo-hosted video podcast comes in.

Each episode focuses on one core idea and answers however many related questions are needed to explain it clearly. From there, we turn that episode into connected content, including an episode page, website and LinkedIn articles, shorter videos, email newsletters, social content, and more. But we’re not just copying and pasting the exact same content everywhere. That isn’t real repurposing.

Real repurposing means keeping the original core idea intact, but rewriting, reorganizing, and reformatting it to fit each platform in a way that both humans and robots can clearly understand. A podcast episode transcript, a website article, a LinkedIn article, and a short video should not all look or sound exactly the same.

Each one should make the core idea useful in a different way while staying connected to the original topic of the episode itself. From there, we track where and how accurately the business appears across relevant AI platforms, then use those results to identify gaps, strengthen content, and decide what the business should do next. The podcast is the source. AI visibility is the objective.

There is no reliable timeline that applies to every business. Starting position, website quality, existing public information, competition, and the questions being tested all affect what changes and when.

A business with clear positioning and a useful website may have a different starting point from one with outdated information and very little published expertise. Some early changes can happen quickly though if the content is done right. I’ve shared a bunch of examples from my own podcast and other client work where we observed AI citations within twenty-four hours of publication.

That’s an observation from those examples. It isn’t a twenty-four-hour promise for the next episode or the next business. The more useful question is whether relevant visibility becomes stronger and more consistent over time. If an episode gets cited once, document it. Then check again. Does it continue to appear? Does the answer remain accurate? Are you appearing for other relevant questions?

There’s a lot more to look at here. That’s why a baseline matters. You need to know where you started before you can judge what changed or if it changed.

So yes, early movement can happen within twenty-four hours, but building stronger, more consistent AI visibility may take a few months, and in some cases several months, depending on your starting point and the quality and consistency of the content being published. AI Visibility isn’t a one-and-done type thing.

AI platforms, search results, competitors, and the information available online are constantly changing, which is why improving your visibility requires consistent publishing and ongoing measurement.

No company can honestly guarantee that an independent AI platform will cite or recommend your business in a particular answer. What you can control is the quality, clarity, accuracy, accessibility, and relevance of the information you publish.

But what we can control is the work that gives your business a better opportunity to be found and accurately represented. That means making sure your information is clear, accurate, and easy to access.

It means bringing more of your real expertise online, publishing useful content around the questions your customers are asking, connecting that content back to your business, and measuring what happens over time.

Podcast content can be a big part of that because it gives you a consistent way to capture what you know and turn it into useful information across your website, YouTube, LinkedIn, and other platforms.

If you hire someone to help with AI visibility, you should understand what they’re creating, which questions and platforms they’re testing, how they’re measuring progress, and what they’ll adjust when something isn’t working. The goal isn’t one exciting screenshot or one lucky citation.

The goal is to build a stronger, clearer connected body of information that improves your chances of being found, cited, and recommended more consistently over time.

So if you’re a business owner or part of a marketing team, here’s where I’d start. Identify three or four pillar topics that sit at the center of what your business does and what you want to be known for. Then list the questions your customers ask around each one. Look at what your business already says about those topics online.

Is the information clear, accurate, and specific? Does it reflect what you actually know, or is most of that expertise still missing? That gives you a practical starting point and a much better content plan than publishing random topics just to stay active.

That’s also what makes a podcast so useful: it gives you a consistent way to turn those pillar topics into connected content that helps AI understand what your business knows and where it’s relevant. And if you want to evaluate where your business stands today, go to the free AI Visibility Assessment.

No sign up required and it literally only takes 3 minutes to complete. You already have the knowledge. Now it’s about making sure AI can find it, understand it, and connect it to the people looking for it.