AI Chatbot for Podcast Editors
SleekAI reads your service tiers, sample work, and turnaround promises so podcasters understand the difference between basic edit, full edit, and produced show, using your OpenAI, Anthropic, Google, or OpenRouter key.
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Quote by episode length and edit depth
Podcast editing quoting confuses new hosts. A solo 30-minute show with one round of basic cleanup is a 90-120 GBP per episode job. A two-host weekly interview show at 60 minutes with show notes, transcript, audiograms, and YouTube cut is 320-420 GBP. A produced narrative show with sound design, archival music licensing checks, and three drafts is 1,200-2,800 GBP per episode. A generic chatbot quotes 'around 200 GBP' and the lead either ghosts (too expensive for basic) or feels under-quoted at proposal time.
SleekAI reads your service tier pages, sample reels, and turnaround SLA directly from WordPress. It quotes by episode length, edit depth, deliverable count, and cadence: per-episode rates for weekly shows, per-batch rates for season production, ad insertion logic, RSS hosting handoff. It captures show format (solo, two-host, panel, interview, narrative), episode length, current cadence (weekly, fortnightly, monthly), platform mix (Apple, Spotify, YouTube), and deliverables (transcript, show notes, audiograms, YouTube cut) before booking a discovery call.
Hosts looking for their first editor at 11pm on a Sunday get clear pricing and a real sense of what they're buying. Hosts wanting to move from a basic edit to a produced show see the right tier called out with deliverable differences explained. Discovery calls open with format and cadence questions, not 'so what's your show about'. Conversation logs in WordPress capture which tiers prospects landed on so the studio can shape its mid-year rate review with real data.
Workflow
From host enquiry to scoped season
Index tiers and deliverables
Set tier-shaping logic
Qualify cadence and platforms
Route to the right producer
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A typical Podcast Editor conversation
Comparison
Generic chatbot vs SleekAI for Podcast Editors
Generic chatbot
- Doesn't know your tiers (basic, full, produced)
- Quotes flat per-hour rates ignoring deliverables
- Can't capture format, cadence, or platform mix
- Misses RSS hosting and ad insertion context
- Treats narrative production like a basic edit
SleekAI chatbot
- Reads service tiers and deliverable add-ons
- Quotes per-episode by length and edit depth
- Captures format, cadence, and platform mix
- Knows your turnaround SLA and rush rules
- Routes serious shows to the right producer
Features
What SleekAI gives you for Podcast Editors
Tier-aware quoting
Basic edit, full edit, produced narrative, season production. SleekAI quotes the right tier based on format and ambition, with deliverable add-ons (transcript, show notes, audiograms, YouTube cut) calculated on top.
Turnaround promises
Standard 48-72 hour turnaround, rush options at premium, season-batch lead times. The bot quotes the right window based on tier and current capacity rather than promising whatever the host wants to hear.
Books discovery calls
Captures show format, cadence, episode length, current platform mix, and deliverable wishlist. Discovery calls open with cadence and deliverables locked, not 'tell me about your podcast'.
Use cases
Where podcast editors put SleekAI to work
Tier shaping
Hosts describe format and ambition; SleekAI suggests basic, full, or produced and quotes a likely range using your real per-episode rates with add-ons calculated on top.
Deliverable explanation
Show notes, transcript, audiograms, YouTube cuts, social clips all get explained in concrete terms: word counts, formats, aspect ratios, so hosts know what they're buying before the proposal.
Rush turnaround quoting
Hosts on a deadline get a clear rush premium and a real availability check instead of 'we'll see what we can do'. Capacity-aware quoting prevents over-promising on the first message.
The bigger picture
Why deliverable-aware chat matters for podcast editors
Podcast editing margins are thin and tier confusion is the most common reason proposals fall apart. A host who heard 'around 200 GBP per episode' from a generic chatbot and then sees 410 GBP per episode in the proposal feels misled, even if the proposal is fair for the deliverable list. A host who heard 'we can do show notes, transcripts, and audiograms' without a price attached assumes those are part of the base rate and feels squeezed when they're add-ons.
Deliverable-aware quoting at the chat layer puts the right number on the right tier with the right add-ons calculated transparently, so the proposal lands the way the conversation framed it. The other variable is cadence. A weekly show is a different commitment for the editor than a fortnightly one, and a season-batch is different again.
Capacity-aware quoting that references your published booking windows prevents the awkward back-and-forth where a host commits emotionally and then finds out the editor's next available slot is six weeks out. Conversation logs in WordPress, model name and token usage attached, give the studio a pipeline view that shows which tiers prospects are landing on and which deliverables they want most. That data shapes the next rate review, the next service tier addition, and the next round of marketing copy.
Generic chatbots produce vague leads; SleekAI produces structured data on every conversation, which over a year is the kind of input that lets a two-person editing studio scale into a six-person operation without losing the quality signal.
Questions
Common questions about SleekAI for Podcast Editors
No. The bot quotes ranges from your published rate card and explicitly says final per-episode pricing comes after a discovery call and a sample episode review. The system prompt can forbid lump-sum quotes outright for produced narrative work, which often needs a custom proposal anyway given music licensing checks and sound design scope.
 Yes. Show notes, transcript, audiograms, YouTube cuts, social clips, ad break points, sponsor read mixing all get described in concrete terms: word count for show notes, speaker labelling for transcripts, aspect ratio and length for audiograms. Hosts know what 'three audiograms per episode' actually means before they sign the proposal.
 If you publish your current capacity (weekly slots available, season production booking windows), the bot references it accurately. New weekly show enquiries get an honest answer about when you can start. Season production gets a realistic batch lead time. Rush turnarounds quote the premium and an availability check against your published calendar.
 Yes. The bot recognizes signals (narrative, scripted, archival, sound design, music licensing, immersive) and routes those conversations toward your produced narrative tier with a different rate structure and lead time. Weekly interview shows stay in the per-episode flow. Multibot lets you separate the two routes entirely if you want.
 SleekAI hands off via webhook to Notion, Airtable, Frame.io, ClickUp, or any system that accepts JSON. Format, cadence, episode length, deliverable list, and platform mix flow through as structured fields, so the studio producer can route the show to the right editor automatically.
 Only indexed pages are used. NDA shows, unreleased pilots, and sample episodes you haven't published stay invisible to the bot. You can exclude specific URL paths from indexing, so even if a private sample is live for prospective clients, the bot never references it in conversations with new enquirers.
 Yours. SleekAI is BYO key for OpenAI, Anthropic, Google, or OpenRouter, so usage stays on your account. Conversation logs sit in your WordPress database with model name and token usage attached, and show details from prospective hosts never pass through a third-party chat platform on the way to your inbox.
 Not directly with Buzzsprout, Captivate, Transistor, or Megaphone, since SleekAI is a WordPress plugin and those are separate services. But the bot explains delivery formats accurately, references your standard hand-off process, and the conversation log captures the host the prospect is using so the editor's first session opens with the right delivery path locked.
 Pricing
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