If you write or commission content, you need questions that reflect what your intended readers want to understand. Content FAQs collects questions from six places, and each is evidence of something different. Knowing which source a question came from tells you what writing an answer would achieve.
The six sources and what each one means
| Source | Evidence of | Best used for |
|---|---|---|
| LLM FAQs | Questions AI answers already address in your subject | Appearing in AI answers for questions that are already being answered |
| Search FAQs | Questions shown in search results | Conventional search coverage |
| Related Search Questions | What people go on to ask next | Finding the follow-up your page should answer |
| Result Titles | How competing pages frame the subject | Seeing the angles already taken, and the ones that are not |
| News FAQs | Questions arising in current coverage | Timely pieces while the subject is live |
| Prospect FAQs | Questions on the wider web pages in your subject | Understanding how the field discusses itself |
The first row is the one with no equivalent in conventional keyword research. A question that AI answers already address is a question where the answer exists and is assembled from somebody's material. Whether it is yours is the opportunity.
Choosing which questions to answer
A list of questions is not a content plan. Three filters reduce it to something workable.
Can you answer it better than the pages currently doing so? If not, writing a worse version of an existing answer achieves nothing. Look at what is already there before committing.
Does answering it help someone who could buy from you? Plenty of relevant questions are asked by people who will never be customers. Answering them is not wrong, and it should be a deliberate choice rather than a default.
Do you have something specific to say? The questions worth your time are the ones where your experience produces a better answer than a general one. If your answer would be the same as anyone's, the piece will read that way.
Reading the questions as they are asked
Keep the original wording. It includes the reader's assumptions, which rewriting the question as a keyword phrase can remove.
Two questions about the same subject can be different questions. "How much does X cost?" and "Is X worth it?" both concern price but call for different answers: one wants a number, the other wants a comparison against an alternative.
Writing one piece that tries to serve both usually serves neither.
A worked selection
Suppose you sell scheduling software to restaurants and the report returns, among others:
- What software do restaurants use for staff scheduling? A category question, widely asked, heavily covered, and hard to win.
- How do I handle last-minute shift swaps without a group chat? A problem question that never names the category. Fewer people ask it and they have the problem you solve.
- Is [competitor] good for small restaurants? A brand question about someone else. Your buyers are asking it at the point of decision.
The second and third are the better use of a writing week. The first is where everyone starts and where the competition already sits.
The third is uncomfortable and productive: an honest piece about where a competitor fits and where it does not is read by people actively choosing. It is the sort of page AI answers draw on for comparison questions.
After writing
Check the draft against the category you intended before publishing, since a piece answering a buyer's question can drift into describing your product. Comparing it against an audience category tests whether it still reads as being for the person who asked.
Then track whether answers to the question start citing your page. Assess that change across weeks rather than counting how many questions you covered.
When writing a brief, record the question, its source and the reader it serves. That helps the writer choose the right explanation and level of detail.
See Content FAQs, finding content ideas, or checking a draft against its category.