Ali Fakhar
فارسیGet in touch

How to turn expert interviews into thought leadership content with AI

  • Level: Beginner
  • A few hours to set up

Ali Fakhar · Updated: Sept 2026

The short answer

Interview your expert with prepared questions, transcribe the call, and ask a model to find the opinions, stories and examples in it. Draft an article or post built only from that material, then have the expert check accuracy and voice before it goes out under their name.

On this page

At a glance

The marketing problem
Experts rarely have time to write, and AI drafts without their input read like everyone else’s. A short recorded interview captures the opinions and examples that make content worth reading; the model does the drafting.
Who this is for
Content and communications teams working with founders, engineers, consultants or other experts.

What you need

Before you start

  • An expert who agrees to a short recorded call and to review the draft
  • A clear topic and the audience the piece is for
  • Recording and transcription (a video-call tool with transcripts is enough)

What goes in

  • Interview questions written in advance
  • The transcript
  • Any examples, data or documents the expert mentions
  • Past writing by the expert, to match their voice

How it works

  1. 01 · You decidePrepare questions that draw out opinions
  2. 02 · ToolRecord and transcribe the interview
  3. 03 · AI stepExtract the substance
  4. 04 · AI stepDraft from their words
  5. 05 · You decideExpert review
  6. 06 · OutputPublish and reuse
  • Tool
  • AI step
  • You decide
  • Output

Step by step

  1. 01 You decide

    Prepare questions that draw out opinions

    Ask what the expert disagrees with, a mistake they see often and a recent example from their work. Avoid questions with textbook answers.

  2. 02 Tool

    Record and transcribe the interview

    Keep the call to about 30 minutes. Use the recording tool’s transcript and correct names and technical terms.

  3. 03 AI step

    Extract the substance

    Separate what the expert thinks from what anyone could say. Flag every figure for checking.

    Prompt to copy

    Here is an interview transcript with [expert name, role]. List: opinions they hold that others in [industry] might disagree with; stories or examples they give; any figures they mention, each flagged as needing a source; and phrases that sound distinctively like them. Quote exactly. Do not add anything that is not in the transcript. Transcript: [paste]

  4. 04 AI step

    Draft from their words

    Draft only from the extracted material. Where a fact is missing, leave a marker rather than letting the model fill it.

    Prompt to copy

    Using only the extracted material below, draft a [900-word article / LinkedIn post] for [audience] arguing [main opinion]. Open with the example about [example]. Keep the expert’s phrases where they are strong. Where you need a fact that is not in the material, write [NEEDS SOURCE] instead of inventing it. Material: [paste]

  5. 05 You decide

    Expert review

    Send the draft to the expert with the open questions. They correct facts, restore anything softened and approve the final version.

  6. 06 Output

    Publish and reuse

    Publish under the expert’s name and keep the transcript: one interview can supply more than one piece.

Where a person decides

The expert approves every claim and the final wording before anything is published under their name.

What to watch for

  • Without a clear opinion in the interview, the draft will be generic; the questions matter most.
  • Models soften strong views into safe ones, so keep the expert’s wording.
  • Figures mentioned in conversation need checking against a source.

How to tell it is working

  • In review, the expert changes wording rather than substance.
  • Readers respond to the specific points, in comments, replies or sales conversations.
  • Each piece contains an opinion or example not found in competing content.

An illustrative example

Input

Illustrative: a 30-minute interview with a fictional head of data about why most dashboards go unused.

Output

An article built around her claim that dashboards fail when nobody owns a decision, with her own example of a report that was retired, and two LinkedIn posts from the same material.

Want this running in your team?

AI marketing advisory. An experienced marketing partner for the decisions your team needs to make.

View service
All AI in marketing workflows ↗
Analytics preferences

Current preference: off