- June 1, 2026
- 8 min read
The Visibility Game Has Changed
Answer the Question They’re Asking, Not the One You Wish They Were Asking
As business owners, we know our services.
We know the terminology.
We know what we want someone to buy.
The person looking for help may not be there yet.
Latifah emphasized the importance of answering “the question that’s being asked, not the question you wish they were asking.”
That distinction changes how you think about content.
A bookkeeper might want someone to search directly for monthly bookkeeping services.
The prospective client may be asking:
How do I choose a bookkeeping service near me?
Another person may want to know:
What’s the difference between QuickBooks and Xero?
Someone else could be looking for an affordable bookkeeping solution specifically for freelancers or another type of business.
Each question gives you information about what that person is trying to understand.
Instead of forcing them immediately toward the service you want to sell, you can meet them at the decision they’re currently trying to make.
But first, you have to find the questions.
You Don’t Have to Guess What Your Customers Want to Know
During the Educational Moment, Latifah demonstrated AnswerThePublic, a search-listening tool that can help uncover questions people are searching around a particular topic.
She used bookkeeping as an example.
A broad term like bookkeeping may be highly competitive, but digging into the questions surrounding that term reveals more specific opportunities.
AnswerThePublic organizes searches into question clusters such as:
- Who
- What
- Why
- When
- How
It can also surface comparison searches using language such as versus, with, and without.
Now a business owner isn’t staring at a blank content calendar wondering what to say.
The audience has already provided a starting point.
That’s where search research becomes more than keyword research.
You’re learning what people want to know.
Customer Questions Can Become Your Content Roadmap
Finding a long list of questions doesn’t mean you need to answer every one.
Latifah recommended scanning the question clusters and pulling approximately five to ten questions that are relevant to your business and audience.
Those questions can then become a roadmap.
One might deserve a full article.
Another could become a short video.
Several closely related questions could become FAQs.
A comparison question might become a standalone piece that helps someone evaluate two options.
A question you hear repeatedly during sales conversations could become a LinkedIn post.
The shift is small, but useful.
Instead of asking:
“What am I going to post this week?”
you can ask:
“Which customer question am I going to answer?”
Now you have a topic tied to something your audience has demonstrated an interest in understanding.
But finding the question isn’t enough.
The next part is where your expertise matters.
Your Experience Is What Makes the Answer Yours
Once you identify a useful customer question, Latifah recommended seeing what already exists around it.
Ask the question in an AI tool.
Look at the answers.
See which sources are appearing.
Then pay attention to what’s missing.
Is the answer too broad?
Is there a situation where the standard recommendation changes?
Have you worked with a client facing this exact problem?
Do you have an example that makes the answer easier to understand?
Is there data you can bring into the conversation?
Do you have a different point of view based on what you’ve seen in your work?
Those are the details that begin separating your answer from generic information someone could get anywhere.
A customer question gives you the topic.
Your expertise gives someone a reason to pay attention to your answer.
That distinction becomes especially important when AI is also helping you create the content.
Let AI Pull the Expertise Out of You First
It’s easy to type a topic into an AI tool and say:
Write me a blog post about this.
The result may sound polished.
But if the tool doesn’t know what you think, what you’ve experienced, or what you’ve learned from doing the work, the content can easily sound like something anyone could have published.
During her Educational Moment, Latifah demonstrated a different approach.
She shared a prompt designed to interview the expert before writing the content.
The process asks questions one at a time to uncover things such as the expert’s opinions, frameworks, experiences, examples, case studies, and data.
Only after gathering that information does AI begin shaping the content.
That changes AI’s role.
You’re not asking it to manufacture your expertise.
You’re giving it your expertise and using the tool to help organize what you already know.
Then the writing itself needs to make that knowledge easy to find.
If They Asked a Question, Give Them the Answer
Finding the right question and bringing your expertise to it won’t help much if the reader has to dig through the entire article to figure out your answer.
Latifah encouraged the group to be direct.
As she said during the presentation:
“Don’t build a story and then try and sneak the answer in there.”
Give the reader an initial answer early.
Then use the rest of the article to make that answer more valuable.
Add context.
Explain where the answer changes.
Show an example.
Address the next question they’re likely to have.
Bring in your experience.
Clear headings can also help organize those ideas so a person can quickly understand what each section addresses.
And those same fundamentals matter beyond AI.
One Customer Question Can Give You More Than One Piece of Content
About Latifah Abdur