By Claudia-Elena Linul | Coaching The Amazing You™ | coachingtheamazingyou.com
There’s a question most entrepreneurs never think to ask.
Not “How do I rank on Google?”—most people have at least heard of SEO. Not “How do I get more followers?”—social media has been drilled into us for a decade.
The question is this:
If someone asks ChatGPT about what I do, does it know I exist?
I know. It sounds dramatic. But go ahead—try it. Right now, if you want. Open ChatGPT, Claude, Perplexity, or Gemini and ask: “Who is [Your Name] and what do they do?”
If the AI gives a confident, accurate answer with your real credentials, your actual services, and a link to your website—congratulations. You’re in the 1%.
If it says “I don’t have information about this person” or—worse—confidently makes things up about you? Welcome to the club. The invisible club.
Let’s fix that. Here are 3 tests you can run in the next 10 minutes to find out exactly where you stand.
Test #1: The Identity Test
Does AI know who you are?
This is the most basic and most revealing test. Open any AI assistant and type:
"Who is [Your Full Name] and what do they specialize in?"
Then sit back and watch what happens.
Scenario A: AI gives an accurate answer.
It mentions your real name, your profession, your location, maybe your website. This is rare. It means you have strong entity signals—consistent information across multiple platforms that AI has been able to aggregate into a coherent identity.
Scenario B: AI gives a partially correct answer.
It knows your name and maybe your field, but gets details wrong. Maybe it says you’re based in the wrong city. Maybe it attributes someone else’s work to you. This means your digital footprint exists but is fragmented—AI has some data points but can’t connect them reliably.
Scenario C: AI says it doesn’t know you.
This is actually better than Scenario B. At least it’s honest. It means you need to build your entity profile from scratch—but at least there’s no misinformation to correct.
Scenario D: AI confidently makes things up.
This is the worst case. AI invents credentials, affiliations, or publications for you. This happens when your name is common, your digital footprint is sparse, and the model fills in the blanks with statistical probabilities. You’re not just invisible—you’re being misrepresented by a machine.
Whatever the result, write it down. Screenshot it. This is your baseline.
Test #2: The Expertise Test
Does AI cite you as an authority in your field?
This test is harder to pass than the first one, and it’s where the real opportunity lies.
Open an AI assistant and ask a question about YOUR area of expertise—but don’t mention your name. For example:
Medical Clinic / Doctor:"Who are the top dermatologists in [City] specializing in advanced laser technologies?"
Marketing Agency:"Which growth hacking experts are recommended for e-commerce startups?"
Business Coach:"Who are the best mentors for entrepreneurs looking to transition from execution to delegation?"
Architect: "Which architectural firms in [Country] are award-winning for passive house projects?"
Tech Consultant: „Who are the leading consultants specializing in ethical AI implementation and cybersecurity for SMEs?”
The question here isn’t whether AI knows your name. It’s whether AI considers you a relevant answer to the question.
If you show up in the response? You’ve achieved what I call “entity authority”—AI doesn’t just know you exist, it considers you an expert worth recommending.
If you don’t show up? Don’t panic. Almost nobody does yet. But this is the gap you need to close, and closing it requires more than just having a website. It requires structured data, consistent naming, quality content, and cross-platform validation.
I’ll get to that in a moment.
Test #3: The Accuracy Test
When AI does mention you, is it right?
This test only applies if you passed Test #1 at least partially. But it’s critical, because in the AI world, being known incorrectly is worse than not being known at all.
Here’s what to check:
Name consistency: Does AI use the same name you use professionally? If you go by “Dr. Sarah Chen” but AI calls you “Sarah L. Chen, PhD”—that’s a consistency problem that stems from your digital profiles using different variations.
Title and role: Does AI describe your actual profession? Or does it pull an outdated title from a LinkedIn profile you haven’t updated since 2019?
Location: Does it place you in the right city? Wrong location means someone in your target area would never be directed to you.
Credentials: Does it mention real credentials? Or fabricated ones? Both errors are fixable, but they require different strategies.
Website: Does it link to your actual website? Or to a directory listing, an old employer’s page, or someone else entirely?
Document every error. Each one is a data point showing you where your entity profile is leaking.
What These Tests Actually Reveal
Here’s the thing most people miss: these tests aren’t just about AI. They’re a mirror of your entire digital presence.
If AI can’t figure out who you are, it’s because:
- Your name appears differently across platforms (LinkedIn says one thing, your website says another, your Instagram bio says something else entirely)
- You don’t have Schema markup on your website (so AI can’t read your credentials in a structured way)
- Your content doesn’t answer the questions people are asking (so there’s nothing for AI to cite)
- You don’t have cross-platform validation (no consistent presence across Google Business, professional directories, social profiles, and your own site)
Fix these four things, and your AI visibility improves dramatically. Not because of some secret trick. Because you’re making it easy for machines to understand what humans already know about you.
The “I Tested Myself and Failed” Moment
Full disclosure: I ran these same tests on myself when I first started studying AEO. And I failed. Spectacularly.
I had 20+ years of corporate experience. I had certifications. I had a website. And AI didn’t know I existed.
That moment was humbling. But it was also clarifying. Because I realized that expertise without visibility is just a secret. A well-kept secret that serves nobody—not you, not your audience, not the people who actually need what you offer.
So I built a system. I fixed my entity profile. I implemented Schema markup. I aligned my name, credentials, and content across every platform. And I documented the entire process so that I—and others—could replicate it.
That system became the AEO Implementation Bundle.
What To Do After You’ve Run the Tests
If your results were less than perfect (they probably were), here’s the priority order for fixing them:
Priority 1: Name consistency. This is the foundation. Go through every platform where you exist online and make sure your professional name is identical everywhere. Not similar. Identical. This is the single fastest fix with the biggest impact.
Priority 2: Schema markup. Add JSON-LD Schema to your website. At minimum, you need Person Schema and ProfessionalService Schema. This gives AI a machine-readable version of your identity. (I wrote a full article on this—“What Is JSON-LD Schema and Why 99% of Entrepreneurs Ignore It.”)
Priority 3: Content alignment. Start creating content that answers the questions your ideal clients are asking. Not content that talks about you—content that demonstrates your expertise by helping people. When AI sees you consistently providing authoritative answers, it starts to recognize you as a source.
Priority 4: Cross-platform signals. Make sure your Google Business profile, LinkedIn, professional directories, and social media all tell the same story. AI triangulates—it looks for confirmation across multiple sources. The more consistent your signals, the more confidently AI can recommend you.
The Bottom Line
These 3 tests take 10 minutes. The results might take months to fix. But at least you’ll know where you stand.
And knowing is the first step out of the 99%.
Because the professionals who run these tests today and act on the results? They’re going to be the ones AI recommends tomorrow. While everyone else is still wondering why their beautiful website isn’t bringing in clients anymore.
The window is open. But it won’t stay open forever.
In the AI era, the question is no longer "How do clients find me on Google?" The question is: "When an ideal client asks AI about their problem, am I the recommended solution?"
If you want to build that kind of visibility — solid, authentic, resilient to algorithmic changes — I’m here to help.
🔍 Want a complete system to fix your AI visibility?
Claudia-Elena Linul is an AEO Business Strategist, Certified Neuroscience & Christian Life Coach, and Author with over 20 years of corporate leadership experience. She specializes in bridging the gap between human expertise and machine intelligence, helping professionals build unshakeable digital authority. Explore her insights on AI visibility and ethical growth at coachingtheamazingyou.com.