Media & Entertainment · persona
Podcast Network / Audio Publisher
Podcast network or audio publisher with 5-100 shows. Production + distribution + sponsor sales + host communication + analytics is the operational stack.
A day in the life
What the next Tuesday looks like
A podcast network with 30 shows produces 60-150 episodes/week, manages 30-100 hosts, runs 50-200 active sponsor campaigns, and continuously coordinates production + distribution + analytics across platforms.
The AI Operating Layer compresses every loop. Episode show notes + chapters + transcripts + clips auto-generated from episode audio. Sponsor brief + ad copy drafted per show + episode. Host communication + scheduling automated. Cross-platform distribution coordinated. Sponsor performance reports auto-assembled. Audience engagement + churn analysis surfaced.
The podcast network / audio publisher playbook
The automations that matter most
Out of the full Media & Entertainment catalog, these are the ones a podcast network / audio publisher should run first.
Episode show notes + transcript generator
Editorial + content production support
Generates show notes + chapters + transcript + key quotes from episode audio.
Host scheduling + content coordinator
Editorial + content production support
Coordinates host and guest availability, recording blocks, and episode deadlines across every show on the network, chasing confirmations without a producer doing it by hand.
Episode clip + social asset auto-creator
Editorial + content production support
Identifies highest-engagement moments + generates audio clips + captioned video + social copy.
Sponsor brief + ad copy drafter
Sponsor + advertising operations
Drafts sponsor briefs + ad copy per show/property/episode based on prior performance + brand voice.
Sponsor performance report assembler
Sponsor + advertising operations
Assembles per-sponsor monthly performance reports (impressions, engagement, conversions, audience).
In the wild
How this actually plays out
Episode clip + social asset auto-creation is the workflow that turns a 1-hour produced episode into 8 distribution assets without an editor.
The AI workflow: episode published → AI ingests audio + transcript. Identifies 3-5 highest-engagement moments (laugh lines, surprising moments, expert insight, controversial takes). Generates audio clip + matching captioned video for IG/TikTok/YouTube Shorts. Drafts social copy + suggested hashtags.
A 30-show network typically generates 50-100 social assets/week vs 10-15 manually, lifting episode discovery 30-60%.
Get my media operation's automation map
Tell us your business type (publisher / podcast / agency / creator), scale, and the workflow that costs the most creative time. We'll come back with a written map of which 5-7 automations matter first and what the first 90 days would change.