“There’s so much information out there that I end up doing nothing.” That’s the line I hear from people who are trying to build something online later in life, and it usually shows up right after they have spent an afternoon reading about AI, search visibility, and half a dozen other terms nobody explained to them properly.

Here is a smaller, more useful question to ask instead: does AI even know your business exists yet?

Not your website traffic. Not your follower count. This is about AI visibility: whether ChatGPT, Gemini, or whatever your future customer opens next, would ever mention you when someone asks for help with the exact problem you solve.

Most people never find out, because the question feels too big to answer. It is not. There is a simple AI visibility test you can run this week, and it takes about twenty minutes.

Write Down Thirty Questions, Not Thirty Keywords

Here is the exercise. Write thirty questions a potential customer might type into an AI assistant, without ever mentioning your name or your business.

Split them into three groups of ten. Best questions: who’s the best person for this, who specializes in this. Problem questions: how do I fix this, who can help me with this. Comparison questions: what’s a good alternative to this, which option should I use.

If you spent years working in a technical field before you retired, this part will feel familiar. Somebody with a genuine problem does not ask for your job title. They ask for a solution, in their own words, and expect a plain answer back.

Then run every question through the AI tool your customers are most likely to use, and note what comes back: whether you show up at all, who does, and what sources those answers seem to be drawing from.

Do Not Panic at a Low Score

If you run this test and score two out of thirty, that is not bad news. That is the first piece of real information you have had about how findable your business is.

For every question where somebody else appears and you do not, ask why them. Are they mentioned in an industry article, a comparison page, a genuine review somewhere? Is there evidence behind what they claim, or just a confident headline?

That is your roadmap, not your competitor’s advantage.

You do not need to chase all thirty answers. Pick the five questions closest to someone actually deciding whether to work with you, and put your effort there first.

Why This Only Works If You Actually Run It

I could describe this test to you all day and you would nod along, understand it completely, and still not know what your own results look like until you sit down and type the questions in yourself.

Instruction only gets you so far. It is in the doing, with the answer staring back at you, that the lesson lands.

I learned that the hard way in a woodturning class, of all places. The first time I clamped a two inch by two inch, eight inch long block of wood onto the lathe and turned it on at about 800 rpm, I remembered every word about keeping three points of contact with the tool. I made a good first cut. Then I moved the tool left to continue it without backing out first, and the block flew off the lathe and landed about four feet away.

The instructor came over and guided my hands through the next cut, and that is when everything he had already explained to me finally clicked. Reading the instructions never did that. Doing the cut, getting it wrong in real time, and feeling the correction did.

Running your own thirty questions works the same way. You can read every paragraph above and agree with all of it, and it still will not tell you a single thing about your own business until you type the questions in yourself and watch what AI says back.

I finished turning that block into an ice cream scoop with a mahogany handle that same day, and it flew off the lathe a couple more times before I got the hang of it. The scoop still sits on my counter. The lesson stuck the same way: understanding is not the same as doing, whatever you are learning.

Build a Fact Box So Machines Stop Guessing

Once you know where you are missing, the fix is rarely more keywords stuffed onto a page. It is making your business impossible to misunderstand.

Try writing a simple internal fact box: we are, we help, we provide, we specialize in, our experience comes from. One clear sentence for each. Then check whether your homepage, your about page, and your author bio all tell that same story, or five slightly different versions of it.

Most people who have spent decades solving real problems for real employers never had to explain, in one sentence, what they do and who it is for. That skill matters more online than it ever did in an office.

Getting Found Is a Different Job Than Getting Read

This is worth separating clearly. Getting AI to mention you is one job. Getting a reader to trust what they find once they do is another job entirely, and it comes down to how clearly you write, not how cleverly you optimize.

That is a skill on its own, and it is worth building deliberately rather than hoping it develops by accident. Nick James built a training called One Letter From Retirement that goes into exactly this: writing with the kind of clarity that makes a stranger trust you within the first two sentences. If the fact box exercise above felt harder than it should have, that is the next place to look.

I have written a bit more about clarity and trust in other articles I have shared recently, and it is a theme worth returning to often, since it rarely gets fixed in one sitting.

Run the Test This Week

You do not need thirty perfect questions or a finished fact box before you start. This AI visibility test needs twenty minutes, a blank page, and the willingness to see a low score without treating it as a verdict on your business.

Write the questions. Run them. Notice who shows up and why. Then pick one gap and close it.

Understanding the idea will not tell you where you stand. Running the test will.

Keep building. Keep learning.

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