Interviews Are a Critical Input for AI Writing. A Bot Can’t Interview in a Journalistic Style

Rhea Wessel:

In a recent AI for Thought Leadership course my team and I taught for Harvard Alumni Entrepreneurs, we did not begin by asking participants to “write with AI.” We began earlier in the process: We asked them to consider their thought-leadership niche and begin building a personal and business corpus of knowledge.

A corpus is not a random dumping ground of PDFs, articles and transcripts. It is a curated body of thinking that helps an AI understand what you know, how you think, where you disagree with the market, what your audience needs and how you frame problems.

In the course, participants learned to co-create articles with large language models, build and visualize their personal IP, and develop an AI-supported writing system. But the real engine was not the bot. It was the human knowledge we helped them surface.

For business communicators and marketers working in thought leadership, this is the point that is too often missed: AI writing is only as good as the inputs. And the most important input is often an interview.

A bot can summarize. It can synthesize. It can draft. It can even suggest story angles. What it cannot do, in a truly journalistic way, is sit across from an expert and notice the flicker of a new idea forming. It cannot hear hesitation and ask, “What makes you pause there?” It cannot sense that the real story is hiding behind the third answer, not the first.

Interviewing is not a passive skill. It is not “getting on a call” and asking someone to talk. It is a learned craft.

3 interview types that AI-assisted articles need

In my work as a journalist, I did thousands of interviews. In corporate writing, I have done thousands more. I teach three types of interviews for AI-supported thought-leadership writing: discovery interviews, framing interviews and content interviews.

The discovery interview is the wide-angle lens. It helps identify the audience, their big need, the business priorities, the “why now” and the ideas others in the niche are getting wrong. In other words, it helps the communicator understand the territory before choosing the story.

The framing interview narrows the lens. It is where the interviewer and expert find the fresh, exciting story angle in service of the reader. This is where you ask: What are others saying or not saying? What is our counterintuitive idea? What assumptions did we have to challenge? What problem can we help the reader see differently?

The content interview is where the article earns its authority. It supplies the material needed to deliver on the headline: the anecdotes, examples, facts, process details and technical explanations that make the piece useful. Without it, the writer or AI assistant is often left writing from research alone. With it, the expert’s knowledge comes out more naturally, and the technical material becomes easier to understand.

This is why interviews are so critical in the AI era. If the writer does not interview deeply, AI may fill the gaps with generic language. It may produce something polished but hollow. It may sound plausible while missing the meat of the idea.

Good thought leadership does the opposite. It gives away real knowledge. It solves a meaningful problem. It brings a fresh perspective. It is not salesy, even if it has a commercial purpose. As I have written elsewhere, the goal is to add value to the conversation, not to dress up promotion as insight.

Interviewing is a craft

Journalists have known this for a long time. Poynter, the nonprofit journalism institute and training organization, offers practical guidance on interviewing and emphasizes open-ended questions, patience, listening and follow-up.

Interviewers should focus on one question at a time and not rush to fill silence. Silence is often where the better answer begins. (see poynter.org)

The best interviewing books teach the same principle in different ways: prepare, listen and follow the story where it goes. Sally Adams and Wynford Hicks’ Interviewing for Journalists treats interviewing as a professional skill with methods, ethics and technique. William Blundell’s The Art and Craft of Feature Writing is also useful for business writers because it shows how reporting, structure and framing turn raw material into a compelling feature. These are not “soft skills.” They are sense-making skills.

That is the missing link in many AI writing workflows.

Marketers are being told to prompt better. Yes, prompts matter. But before the prompt comes the raw material, and someone has to excavate it. That someone must know how to listen for novelty, opinion and timeliness. They must know how to challenge vague claims, ask for examples, test the angle and keep the reader’s problem at the center.

AI can help us write faster. But interviews help us write truer with AI.

Your experts are a living corpus of knowledge

For business communicators, the opportunity is enormous. The experts inside your company are carrying ideas born from real client problems, repeated patterns, failed experiments and hard-won lessons.

Many of those ideas are still unarticulated.

A bot cannot go find them on its own.

A skilled interviewer can.

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Rhea Wessel is a writer and founder of The Institute for Thought Leadership. She helps small and mid-sized companies grow through thought leadership.