Over the last year, I've probably asked ChatGPT at least half a dozen times to SEO my website.
And we did things.
We changed titles.
We worked on descriptions.
We improved content.
We looked at keywords.
We dealt with indexing.
We fixed pages.
So I could have reasonably assumed:
We've already done the SEO.
Then I started digging deeper into AI search and GEO.
And I discovered something that taught me a much bigger lesson about AI.
We hadn't finished the job.
AI Didn't Necessarily Fail
My first reaction could have been:
"Well, ChatGPT didn't do a very good job."
But I don't think that's the most useful conclusion.
ChatGPT was helping me solve the problem I gave it.
The bigger issue was this:
I didn't completely understand the problem yet.
I was asking AI to "SEO my website."
That's a reasonable request.
But it turns out that request can mean a hundred different things.
I didn't necessarily know to ask:
What does Googlebot actually receive when it visits this page?
Does a nonexistent page really return a 404?
If an old page moved, is the redirect working correctly?
Does the important content exist in the initial HTML?
Can a machine understand what kind of content this is?
Do my articles, lessons, videos and services reinforce the same understanding of my business?
Can an AI system understand how these pieces relate to one another?
I wasn't withholding those questions.
I didn't know enough yet to ask them.
That's an important distinction.
Your Prompt Is Limited by What You Understand
We hear a lot about writing better prompts.
And prompts do matter.
But I think there is a deeper issue.
You can only specifically ask about the things you know enough to ask about.
If you've never heard of a particular technical problem, you're probably not going to put it in your prompt.
If you don't know something should be verified, you may accept the first answer.
If you don't understand how the pieces fit together, you may ask AI to optimize one piece while missing the system around it.
That's exactly what happened to me.
AI could help me work on SEO.
But I was still developing my understanding of what modern search optimization really involved.
Getting an Answer Is Not the Same as Understanding the Problem
This is one of the things that makes AI so powerful.
And sometimes dangerous.
It gives us answers very quickly.
The answer can be well written.
It can sound confident.
It can include a checklist.
And that can create a feeling that the problem has been solved.
But there is a difference between:
I received an answer.
and
I understand the problem.
The more I've worked with AI, the more important that distinction has become.
Experience Changes the Questions
Something else happened while I was working through GEO.
My questions changed.
After looking at how crawlers see websites, redirects, structured information, rendering, content relationships and AI search, I can ask much better questions than I could have asked a year ago.
That is how learning works.
The answer teaches you something.
You investigate.
You find another layer.
That changes the next question.
Then that answer changes the question after that.
This is why I like working with AI conversationally.
I'm not trying to create one perfect prompt that magically produces the finished answer.
I'm learning through the conversation.
AI Can Accelerate Expertise
I don't think the lesson here is that we don't need AI.
It's almost the opposite.
I probably would not have learned as much as quickly without it.
AI helped me investigate.
It helped me compare.
It helped me look at code and website structure.
It helped me explain things I didn't understand.
It helped me test assumptions.
It helped me keep going deeper.
So I don't think AI eliminates expertise.
I think AI can help us develop expertise faster.
But it doesn't remove the need for judgment.
Somebody still has to ask:
Is this the right problem?
Does this answer make sense?
Did we verify it?
What did we miss?
What does the business actually need?
Verification Changes Everything
This may be one of the biggest changes in how I use AI.
I don't want to stop at:
"Make this change."
I increasingly want to ask:
Did the change actually produce what we expected?
There's a big difference.
AI can tell me that code was changed.
That doesn't necessarily prove that Google receives the correct page.
AI can tell me that a redirect was added.
That doesn't automatically mean the redirect works in the live environment.
AI can tell me the page has structured data.
That doesn't mean the information is accurate or that the page a crawler receives contains what we think it contains.
Do the work.
Then check the work.
That's becoming one of my rules.
Maybe Expertise Is Becoming More Important, Not Less
There's a common idea that AI is going to eliminate the need for experts.
I think it may change what expertise looks like.
AI can now write copy.
It can generate code.
It can create videos.
It can make advertising.
It can analyze information.
It can develop strategies.
That lowers the barrier to producing things.
But when everybody can produce things, another question becomes much more important:
Are we producing the right thing?
That's judgment.
What problem are we solving?
What information should we trust?
Which recommendation actually fits this business?
What needs verification?
What shouldn't we automate?
Where does human experience matter?
AI can make the work easier.
It doesn't necessarily make those decisions easier.
The Most Valuable Question May Be the Next One
I've spent a lot of time learning how to use AI.
And I'm beginning to believe something.
The value isn't only in getting better answers.
The value is also in learning what question to ask next.
That's what happened with my website.
I started with:
"SEO my website."
Eventually that led to:
"What does the crawler actually see?"
"Can an AI system understand this business?"
"Why isn't this page behaving the way we thought?"
"How do we verify it?"
Those are much better questions.
But I had to learn enough to ask them.
The NTA Point of View
This is why I don't believe small-business owners simply need another AI tool.
They need help understanding what their business actually needs.
AI is an extraordinary tool.
Use it.
Talk with it.
Let it help you investigate.
Let it help you work.
But don't confuse access to AI with understanding.
You don't have to know everything before you start.
I certainly didn't.
Start the conversation.
Do the work.
Look at what it produces.
Question it.
Verify it.
Learn something.
Then ask the better question.
That's where AI becomes more than a tool that gives you answers.
It becomes a way to think.