Buyers ask a question. You answer it clearly. That’s the premise behind the “They Ask, You Answer” (TAYA) framework, and it holds up in AI-driven discovery.
In theory, it’s simple. In practice, teams struggle to anchor their approach and get started. The result is predictable: generic questions that produce generic content.
That’s a problem, especially as AI shifts search behavior from short queries to more detailed, contextual questions. The difference comes down to the questions you choose to answer. And that’s where a simple concept makes a big difference: buyer personas.
The problem with generic questions
Odds are, you and many of your competitors have already answered these questions somewhere, or could easily.
The generic question trap happens because when marketing teams brainstorm content ideas, they often start with topics like:
- What is CRM software?
- What is marketing automation?
- What is warehouse management?
These are reasonable questions. But they’re also questions no real buyer actually asks.
Real buyers ask questions that reflect their situation and their problem. Something more like this:
- “What CRM should a 10-person sales team use?”
- “Why are leads slipping through the cracks in our marketing?”
- “Why is our warehouse picking speed so slow?”
The difference is subtle but important. The second set of questions includes a person and a problem. That context completely changes the quality of the content.
The SEO toolkit you know, plus the AI visibility data you need.
Why this matters more in AI-driven discovery
Instead of typing short keywords, buyers ask detailed, contextual questions:
- “I run a 15-person marketing team, and we’re struggling to track leads properly. What should we do?”
The AI explains the problem, outlines solutions, and suggests vendors. In other words, the buyer is having a consultation with an AI.
If your content explains why a specific persona experiences a specific problem, you have a much better chance of shaping how that problem is understood in the first place.
This puts you into the conversation and consideration set earlier, making it more likely you’ll stay in as the user refines their thinking.
Consider this scenario. I’ll use myself as an example.
- Marcus.
- 50 years old.
- Meeting some old friends in Birmingham, UK.
- Looking for ideas of things to do for the day.
I start by asking a somewhat broad opening question:
- “I’m looking for some ideas of things to do with friends in Birmingham on the weekend. I’m 50, and I have several male friends coming down to get together for a day. There will be some beers, no doubt, but we need some activities as well.”
Answers then include a bunch of top-level suggestions — bars, food, and activity-type bars. One of these suggestions is for an F1 gaming arcade. I like games, but not so much cars, so this leads my follow-up to dig in a bit more:
- “Ah, we all like games. What about gaming arcades? What gaming arcades could you recommend?”
I get a bunch of recommendations, one of which is for a pinball arcade in Digbeth (a sub-area of Birmingham).
- “Pinball Factory in Digbeth sounds fun. What else is there to do around there, food- and drinks-wise?”
I then get a set of responses that helps me narrow the list and formulate a perfect day and evening out for a group of old friends.
Being in the early part of the conversation lets you shape the dialogue and increases your chances of being part of the eventual solution.
Personas make TAYA far more precise
Personas are the tools that let you think like your customers and figure out the kinds of questions they ask long before they get to what you have to offer.
When you can identify a customer segment, you can dig into that persona, understand their problems and goals, and think like your target customer to generate content ideas that help them decide earlier.
Now, instead of writing content for a generic avatar, write for specific people. For example, instead of “Things to do in Birmingham?” you might write, “The best day out in Birmingham for a group of 50-year-old gamers.”
You’re still addressing the same underlying topic. But now the content speaks directly to a real person experiencing a real problem.
That shift usually leads to much more useful content. This helps you work your way into those conversations, rather than relying on the brutal battleground of commercial queries.
A simple way to uncover better questions
You don’t need a complicated persona framework to make this work. In most cases, a simple three-question exercise will uncover the kinds of problems your buyers are actually trying to solve.
For each persona you serve, ask:
- What are they responsible for? For example:
- Hitting sales targets.
- Generating marketing leads.
- Running warehouse operations.
- What problems make that responsibility difficult? Examples might include:
- Missed sales targets.
- Inefficient warehouse processes.
- Poor lead tracking.
- Slow picking speeds.
- What would they ask Google or an AI assistant when that problem occurs?
Now the questions start to look very different. Instead of broad category topics like: “What is CRM software?”
You start to see questions like:
- “Why are leads slipping through the cracks in our CRM?”
- “What CRM should a small sales team use?”
- “Why is our warehouse picking speed so slow?”
Those questions reflect real situations experienced by real people — exactly where the best content opportunities exist.
‘They Ask, You Answer’ works better with personas
Now we revisit the big five topic areas from TAYA: cost, problems, comparisons, reviews, and best-of. These topics already give us a powerful structure for content.
But when they’re approached generically, they often lead to content that looks exactly like everyone else’s.
So you can go from the typical, generic kinds of questions:
- “How much does CRM software cost?”
- “What problems do warehouse systems have?”
- “HubSpot vs. Salesforce”
- “Best CRM systems”
- “Salesforce review”
To questions that are more connected to the needs of our target audience:
- “What does CRM cost for a 10-person sales team?”
- “Why do my warehouse managers struggle with picking accuracy?”
- “HubSpot vs. Salesforce for a small B2B marketing team”
- “Best CRM for growing sales teams”
- “Is Salesforce worth it for a mid-size sales organization?”
The topic hasn’t changed, but the question now reflects the buyer’s reality. This shift produces more useful content and aligns with how people interact with AI assistants.
Those questions include their role, company size, or situation:
- “We’re a small marketing team struggling to track leads properly. What CRM should we use?”
If your content already answers these persona-driven questions, you increase the chances that your explanation becomes part of that conversation.
In other words, personas don’t replace They Ask, You Answer. They make it more precise, moving you from answering generic topics to answering the exact questions buyers ask when solving a real problem.
Persona-driven questions improve TAYA content for three simple reasons.
- They mirror how buyers actually think: People rarely search for textbook definitions. They search for solutions to problems. Personas keep the content anchored in those problems.
- They produce more useful content: When you know who the content is for, it naturally includes better examples, more practical advice, and clearer explanations. In other words, content that genuinely helps someone move forward.
- They align with how AI explains problems: AI assistants increasingly start by explaining the problem before recommending a solution. Content that clearly describes why a specific persona experiences a specific challenge fits neatly into this pattern. This increases the chances that your explanation influences the AI’s response.
Track, optimize, and win in Google and AI search from one platform.
Start with the problem, not the product
One of the most common mistakes companies make with content marketing is starting with their product.
But buyers rarely start their journey there. They start with a problem.
Personas help keep your content anchored in the buyer’s world rather than your own product — remember, it’s about the customer, not you.
And that simple shift often makes the difference between content that merely exists and content that actually influences decisions.
Where you enter the conversation matters
“They Ask, You Answer” remains one of the most powerful frameworks available to marketers. But the effectiveness of the framework depends entirely on the quality of the questions you answer.
Personas help you turn vague topics into real problems and ask better questions. When your content speaks directly to those problems, buyers and AI systems are far more likely to trust your answers.