AI chatbot for podcast production studios: scope shows and answer post questions
SleekAI reads your show catalog, production packages, post timelines, and engagement scopes from WordPress so podcast clients get clear answers about scope, turnaround, and pricing in chat, using your own OpenAI, Anthropic, Google, or OpenRouter API key.
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A bot that knows your shows and your post workflow
A podcast production studio's site is a catalog of shows you've produced and a list of services. The shows live as case study posts with ACF fields for genre, episode count, format (interview, narrative, panel), client type (brand, indie, network), and the producer lead. SleekAI maps those so when a prospect asks "have you produced narrative podcasts for brands at a 12-episode cadence," the bot returns the right list with episode count and producer noted.
Services are the second layer. Most studios sell modular packages: episode editing only, full post (edit, mix, master, music), full production (record, edit, mix, master, music), or end-to-end (development, talent, recording, post, distribution). SleekAI reads a services CPT so the bot quotes the right tier. "Full post per episode at a 12-episode brand series starts at $1,800 per episode with a 4-day turnaround." That answer lets a podcast manager brief their finance team without the contact-form ping pong.
Turnaround is the third axis. SleekAI surfaces typical edit-to-deliver windows by show type and runtime, including rush surcharges. It also knows about session availability in your studio's wp_posts calendar CPT, so booking recording days happens in chat instead of email.
Workflow
How SleekAI plugs into a podcast studio site
Map case studies
Define modular packages
Codify turnaround windows
Route scoped briefs
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A typical podcast production studio conversation
Comparison
Generic chatbot vs SleekAI for podcast production
Generic chatbot
- Doesn't know which shows or genres you've produced
- Can't quote per-episode pricing across post tiers
- Misses ACF fields like format, lead, and client type
- Has no idea about realistic turnaround windows
- Routes every scope question to a slow email exchange
SleekAI chatbot
- Reads case studies with ACF format, episode count, and lead
- Quotes per-episode pricing across modular post tiers
- Knows typical turnaround windows by show type and runtime
- Handles development, post-only, and full production briefs
- Routes scoped briefs to your producer with episode summary
Features
What SleekAI gives you for podcast production studios
Show aware
Case study posts with genre, episode count, format, client type, and producer lead become readable. Prospects asking for narrative brand shows or weekly interview panels get filtered case studies rather than scrolling a single show wall.
Post modular
Modular packages from edit-only to end-to-end with original music sit in a services CPT. The bot quotes per-episode pricing and explains what's included so podcast managers can brief finance with real numbers, not estimates.
Turnaround realistic
Typical edit-to-deliver windows by show type and runtime live in WordPress. The bot quotes 4-business-day full post or 2-business-day edit-only with rush surcharge explicit, which keeps surprise expectations out of the engagement.
Use cases
Where podcast studios use this on their site
Brand podcast pages
Content marketers scope multi-episode brand series in chat. The bot quotes development, post, and full production packages and routes serious briefs to a producer call with scoped context.
Independent producer pages
Solo podcasters ask about post-only packages and turnaround. The bot quotes per-episode editing rates, surfaces music license options, and routes payment via your usual checkout.
Network and series pages
Networks scope multi-show partnerships. The bot quotes volume terms, references past network engagements, and routes the conversation to your network partnerships lead with context.
The bigger picture
Why scoped chat changes podcast production sales
Podcast production sales fail in one of two ways. Either the prospect doesn't understand the cost structure of full post versus edit-only and walks away thinking the studio is overpriced, or the studio quotes generically and ends up doing more work than the engagement actually paid for. A chatbot grounded in real per-episode tiers and modular packages solves both.
The prospect learns that edit-only at $400 per episode is a different service than full post at $1,800 per episode, decides which fits, and the engagement starts with both sides on the same page. The studio stops getting briefs that mismatch the budget by a factor of three, which is the slow-attrition problem that grinds down production teams over time. The other shift is show development.
Development engagements are slow to close because the conversation involves narrative vision, audience hypothesis, and format experimentation. A bot that can describe how the studio thinks about development, what a typical engagement looks like, and what past brand series have produced, gives a prospect enough confidence to commit to the discovery call. That confidence is the difference between a content marketer who saves the studio link for later and one who books a producer call this week.
Questions
Common questions about SleekAI for podcast production studios
Yes. Most studios charge less per episode at higher episode counts, and the bot quotes the right tier from your CPT. A 12-episode commitment lands at a lower per-episode rate than a 4-episode pilot, and the bot surfaces both tiers when a prospect is uncertain about commitment level. This lets the prospect optimize their commitment in chat rather than negotiate after the proposal.
 If your studio has a recording calendar CPT, yes. The bot can quote available days for the week, hold a tentative slot, and route confirmation to your booking flow. Studio space, engineer assignment, and equipment add-ons (boom, isolation booth, multi-cam podcast video) all surface from your equipment CPT so the prospect knows what's included.
 Yes. If you license stock music or have a partnership with a composer, the bot quotes the right option for the project's budget tier. Original score is typically a separate engagement with a composer partner, and the bot can introduce that partnership rather than pretending to do composer-level work in-house.
 Yes. Development engagements have a longer timeline and a different pricing structure, so the bot can route them to a development lead with a structured brief. The brief includes the prospect's concept, audience hypothesis, target episode count, and budget band, which is enough for the lead to come into the discovery call already informed.
 Add-on services like transcription, show notes, and chapter markers live in your services CPT. The bot quotes them as add-ons to the post package. Transcription is typically priced per finished minute, show notes per episode, and chapter markers per episode. The bot itemizes these clearly so prospects don't see surprise line items at proposal time.
 If you offer distribution setup (Apple, Spotify, YouTube, RSS feed config, analytics), the bot can quote it as a standalone or bundled service. Distribution is one-time setup plus optional ongoing analytics review, and the bot surfaces both. For shows already distributing themselves, the bot can quote post-only without trying to upsell distribution.
 Yes. Display conditions let you scope a separate bot to brand podcast landing pages, independent producer pages, and network partnerships pages. Each bot reads the same case study data but is instructed for its audience and quotes different starting pricing. This lets each page have a focused conversation rather than a one-size bot that tries to handle every audience badly.
 OpenAI, Anthropic, Google Gemini, and OpenRouter are all supported. For podcast production conversations where format and post terminology matters, Claude Sonnet and GPT-4 class models handle the precision better than cheaper models. Most studios run the higher-tier model since each engagement is potentially a multi-episode series in the low five figures.
 Pricing
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