The problem
For coaches who run a podcast as part of their content strategy, the workload around each episode is enormous relative to the recording itself. A 45-minute conversation might take two hours to plan and research beforehand, and another two to three hours of post-production work: writing show notes, creating timestamps, pulling quotes for social media, drafting a newsletter intro, and writing the LinkedIn post. Multiply that by a weekly or fortnightly publishing schedule and podcasting quickly becomes a part-time job layered on top of a full coaching practice.
Guest preparation is its own challenge. A good interviewer knows their guest's work well enough to ask questions that go deeper than the obvious. But researching a guest thoroughly — reading their book, listening to their previous podcast appearances, understanding their current positioning — can take hours. Coaches who skip this step end up with surface-level conversations that do not serve their audience. Those who do the research properly find themselves spending more time on prep than on any other business activity.
The repurposing gap is where the most value is lost. Most coaches record a great episode, publish it, share it once on social media, and then let it disappear. The same insights that made for a compelling conversation could power a blog post, a LinkedIn article, a newsletter, a short-form video script, and a dozen social posts. AI makes it practical to capture all of that value from a single recording — without it, the economics of podcasting rarely make sense for a solo coach.
The system
Step 1: Build your episode pipeline (Notion AI)
Set up a simple Notion database for episode planning with fields for: episode number, topic, guest name (if applicable), status, recording date, and publish date. Use Notion AI to help generate episode ideas based on your coaching niche.
Prompt:
"I am a [type] coach with a podcast for [target audience]. My audience's biggest challenges are [list them]. Generate 20 episode ideas — a mix of solo episodes and guest episodes — that would be genuinely useful and not obvious. For each idea, include a working title and one sentence on why this topic matters to my audience."
Review the list, pick the strongest ideas, and add them to the database. This gives you a rolling content pipeline that prevents the weekly panic of "what should I record this week?"
Step 2: Research guests and plan questions (Perplexity + Claude)
For guest episodes, use Perplexity to research the guest quickly and efficiently. Search for: their recent work, their main ideas, any controversies or interesting positions they have taken, and what they have not been asked about in other interviews.
Then take your research notes into Claude:
"I am interviewing [guest name] for my coaching podcast. Here is what I know about them: [paste notes]. My audience is [describe]. Write 12 interview questions that go beyond the obvious. Include: three questions about their origin story and turning points, three questions about their core methodology or philosophy, three questions that challenge or probe their ideas respectfully, and three questions about practical application for my audience. Avoid questions they clearly get asked in every interview."
This produces a question bank that makes you look deeply prepared without spending three hours on research. Add your own instinctive questions on top.
Step 3: Transcribe and process the recording (Otter.ai + NotebookLM)
Record your episode and use Otter.ai to generate the transcript automatically. Once the transcript is ready, upload it to NotebookLM along with any supporting materials (your guest's book summary, your show notes from previous similar episodes).
Use NotebookLM to query the transcript:
"What are the five most quotable moments in this transcript?" "What are the three main ideas covered in this conversation?" "What practical advice does the guest give that listeners could act on today?"
This gives you a structured content map of the episode without having to re-listen or read the full transcript yourself.
Step 4: Write show notes and timestamps (Claude)
Feed the transcript and the NotebookLM summary into Claude:
"Using the following podcast transcript and content summary, write professional show notes for a coaching podcast episode. Include: a 150-word episode description for the podcast listing, a 'What you will learn' bullet list (5 to 7 points), five to eight timestamps with descriptions (format: 00:00 - Topic name), three guest or host quotes suitable for pull-quotes, and a resources section with any tools or books mentioned. UK English."
This produces publication-ready show notes in a single prompt. Paste them directly into your podcast host platform.
Step 5: Repurpose into blog, newsletter, and social (Claude)
With the transcript and show notes ready, run a repurposing prompt:
"Using the following podcast transcript and show notes, produce the following content: 1) A 600-word blog post based on the main ideas of the episode, written as a standalone article rather than a podcast recap. 2) A 200-word newsletter intro that teases the episode and tells readers why they should listen. 3) Five LinkedIn post drafts — each leading with a different insight from the episode, 100 to 150 words each. 4) Eight short social captions of under 120 characters, each based on a different moment or quote. UK English throughout."
This turns one 45-minute recording into a week's worth of content across every channel.
The results
Before this workflow, a coach producing one weekly podcast episode would typically spend seven to ten hours per episode on planning, prep, post-production, and distribution. With AI handling the research summary, question generation, show notes, and repurposing, this drops to two to three hours per episode — saving four to seven hours a week.
The quality of guest preparation also improves. Questions become sharper and more specific, leading to better conversations and more positive feedback from both guests and listeners. And because repurposing is now systematic rather than aspirational, each episode generates significantly more content reach than before — with coaches reporting three to five times more engagement per episode once they begin distributing across all formats.