INTRODUCING NOVA
A new way to build landing pages.
SCREENSHOT TO SECTION
“Create a section that looks like this screenshot.”
BUILT TO SPEC
“Add a three-tier pricing section with a highlighted middle plan.”
ANY LAYOUT
“Put my testimonials in a three-column grid with photos on top.”
Heads up: generating a page can replace existing sections.
The Client Engine | Get Found
What Buyers Actually Type Into AI When They Need an Expert
If you want to be the name the machine gives back, you have to know the exact moment it gets asked. Here are the real questions your buyers are typing right now, and what it takes to be the answer instead of a footnote.
The question is already being asked about you
Somewhere today, a person with a real problem and real money opened a chat window and typed a question about the thing you're great at. They didn't browse. They asked. And the machine answered in half a second with a name, maybe two. You were either in that answer or you weren't, and you never got a say in the moment it happened.
So the smartest thing you can do is stop guessing and look at what people actually type when they're close to hiring. Because the words they use are the exact words you need to be the clean answer to.
The four kinds of questions buyers ask
When somebody is getting ready to spend money on an expert, their questions fall into a handful of shapes. Learn the shapes and you learn where you have to show up.
- The "who is best" question. Who's the best at this for my exact situation. This is the hire-now question, and it returns a name, not a list. If you're not the trusted source on your topic, you're not in it.
- The "how do I" question. How do I fix this specific thing. They're still learning, but the expert whose explanation the machine quotes is the one it later recommends.
- The "is this worth it" question. Is this approach, this price, this kind of help actually worth it. They're weighing the decision, and clear honest answers win the trust.
- The "what's the difference" question. What's the difference between option A and option B. Whoever explains the choice cleanly becomes the guide, and people hire their guide.
Why the machine picks one name over another
Here's the part that matters. The machine already read the web and quietly decided who it trusts to answer each of those question shapes. It isn't weighing who's loudest. It's weighing who's clearest, who directly answers the real question, and whose story holds up everywhere it appears. When your buyer asks, it hands back the source it would be least embarrassed to stand behind.
The market stopped searching and started asking. The only question left is whether the machine says your name, or someone else's.
How to become the answer, in plain terms
Take the four question shapes above and answer them, out loud, in public, in plain language, with the answer right at the top where a machine can lift it clean. Write the one sentence that says exactly what you're the answer to and repeat it consistently everywhere you show up. Put your proof where it can be seen. You're not trying to be everywhere, you're trying to be the obvious, quotable, trusted answer to the handful of questions that lead to a sale. If you want the mechanics, start with what generative engine optimization is and how to get found when buyers ask AI.
The questions people actually ask me
How do I know what my buyers are typing?
Start with the four shapes in this article and fill them with your buyers' own words from sales calls, emails, and the questions you get asked most. The language they use is the language to answer in. You don't need a tool to begin, you need to listen and write it down.
Do I need to name competitors to answer the difference questions?
No. You answer the difference between approaches or models, not by attacking anyone. Explaining the choice honestly makes you the guide, and that is what earns the recommendation.
Will answering these get me cited by AI tools?
It makes you a clean, quotable, trusted source on your topic, which is exactly what answer engines look for. There is no guaranteed placement, but clarity and consistency are what move you toward being the name that gets said.
Is this different from normal SEO?
It overlaps, but the target is different. Old SEO aimed at ranking on a page of links. This aims at being the answer the machine gives back, which rewards directly answering real buyer questions over stuffing keywords.
