Use case · Podcasts & Interviews for AI startups
Podcast production for AI startups
A podcast for an AI startup works when each episode goes deep on something specific: a real deployment, how quality is measured, a failure and what changed. It stops working when it becomes general talk about the future of AI.
I research each guest and topic, write the question brief, direct the remote recording, and edit audio and video so the technical detail stays in. Guest booking is quoted separately.
Full scope, process and deliverables are on B2B SaaS Podcast Production. This page covers what changes when the company, the guests and the listeners are in AI.
Who this is for
- AI, ML, agent and developer-tool companies whose buyers are engineers, data leads or technical evaluators
- Founders or CTOs who want a reason to spend an hour with customers, partners and practitioners they respect
- Teams with a show that has drifted into generic AI talk and needs sharper research and editing
- Founders preparing for guest appearances on other AI and engineering podcasts
Why AI company podcasts stay on the surface
The topic is too big. "Where is AI going?" fills an hour without teaching a technical listener anything.
The host can't follow up. Without research, the host accepts the first answer, and the guest's real knowledge stays unsaid.
The best stories need approval. A customer's production failure is the most useful episode you can make, and the customer often needs sign-off to discuss it.
The edit cuts the wrong parts. Editing for pace removes the numbers, trade-offs and architecture details that technical listeners came for.
Five formats that suit AI companies
| Format | Who's on | What an episode covers | Why it works |
|---|---|---|---|
| Deployment teardown | Founder and a customer | One deployment: what the customer tried first, what broke in production, what changed | The most credible story you can tell, told by someone else |
| Evaluation conversation | Founder and a practitioner | How they test quality, what failure looks like, what they stopped measuring | Answers the question buyers ask before trusting any AI product |
| Buyer-peer interview | Head of data, ML or engineering at a company like your buyers | Their problems and decisions, not your product | A reason to talk to the people you want to know |
| Founder build log | Founder, alone or with a co-founder | One decision from the last month and the reasoning behind it | Low effort, steady, shows how the team thinks |
| Guest appearance prep | Your founder, on someone else's show | Topics, stories and the specific points to land | Uses an audience someone else built |
The first two answer the questions technical buyers ask most directly. They are also the hardest to book, which is why the research and the guest brief matter.
What the research covers
Research for a technical episode means reading what the guest has published and shipped, such as talks, papers, repositories, docs and earlier interviews, and your product material on the same topic. The questions then connect what the guest knows to what your buyers need.
A useful question brief has three parts: the context the host needs in two minutes, the one question the episode is built around, and the follow-ups for when the first answer is general. The usable material usually comes after the second or third follow-up.
An example episode plan
- Format: deployment teardown, 40 minutes, video.
- Guest: the engineering lead at a customer, with their company's approval to discuss the project.
- Core question: "What went wrong in the first month in production, and what did you change?"
- Follow-ups prepared: what you measured before going live; the first failure a user reported; what you would test earlier next time; what you would tell a team starting today.
- Out of scope: pricing, other vendors by name, anything the guest's legal team hasn't approved.
- After recording: the guest reviews the cut for confidential details before publishing.
- Assets: the full episode, three to five clips, a transcript, and an article for the question the episode answers.
Video, and why it matters more for technical shows
Architecture, evaluation results and product runs are hard to follow by ear. On video, the guest can share a screen or a diagram and the listener can see it.
There is also a reach reason. Gartner's February 2026 research says 53% of IT and high-tech buyers now rely on YouTube for product and vendor decisions. Edison Research's Q3 2026 podcast metrics put YouTube first among US weekly podcast consumers. Neither figure is about AI buyers specifically, but both point the same way: for a technical audience, a video episode on YouTube is a reasonable place to be found.
Video costs more to produce than audio. For an audio-only audience it may not be worth it; the concept stage decides.
Editing for technical listeners
The edit keeps the specifics: the numbers, the trade-offs and the failed first attempt. When a term needs explaining, a short on-screen note is usually better than cutting the passage. Pace matters, but for an engineer listening at 1.5x speed, a missing detail costs more than an extra minute.
After the episode
Depending on the agreed scope, each recording can be turned into material buyers can find: clips for LinkedIn and YouTube Shorts, a transcript, and an article or answer page built around the question the episode answered. Pages built from a real practitioner's words are the kind of first-hand material that search engines and AI assistants can cite. How that works is in how to turn one founder interview into videos, articles and content buyers can find.
I don't use downloads as the main measure for a B2B show. Count guests who became customers or partners, clips your sales team uses, and listeners who write to you.
Price and ways to buy.
Deliverables depend on the agreed scope. Each project gets a fixed quote, set by the number of episodes, audio or video, the research per guest, and the clips and written pieces. Guest booking is always quoted separately, and no producer can promise a specific guest.
Try it first · 21 days
Podcast & Interview Pilot Sprint
€750 / 21 days
A show concept and pilot brief, one edited pilot episode of up to 10 minutes, and a publishing package. Guest booking is not included; bring a confirmed guest or record yourself.
Standalone project
Fixed quote
For example, six deployment teardowns with customers, on YouTube, with clips.
Over 90 days
Founder Presence + Distribution
€5,400 / 90 days
Can include a recorded interview format as its owned channel.
Your time is usually 1.5 to 2 hours per episode. Guests give only their recording time. Market prices are compared in how much B2B podcast production costs.
Proof.
Questions AI founders ask.
Should the CEO or the CTO host?
Whoever enjoys the conversation and can follow up on a technical answer. On a technical show, the CTO or a senior engineer can be the better host, with the CEO as an occasional guest.
How technical can the episodes be?
As technical as your buyers. If your buyers are ML engineers, don't simplify for a general audience. Add a short note when a term needs it.
What if a customer guest says something confidential?
I recommend agreeing in the scope that the guest reviews the cut before publishing, so anything their company hasn't approved can come out.
Do you book guests?
Guest booking is quoted separately and scoped per project: research, a shortlist, outreach and scheduling, as agreed. Guests decide whether to appear, so no name is guaranteed.
Do you need to understand our model?
I need to understand it well enough to ask the follow-up a technical buyer would ask. You and your guest are the experts; the research and the brief make sure the conversation gets to the useful part.
The fit call · 30 minutes
30 minutes. We look at what you need and what you already have.
Then I tell you whether a project, the Sprint or a 90-day engagement fits, and you get a fixed quote before committing.