Voiceover quoting follows a strict logic: base session fee plus usage. A 30-second commercial with national TV broadcast for one year is not remotely the same job as a 45-minute corporate e-learning module, even if both take the same hour to record. Yet the inbound emails arrive identically vague: "How much do you charge to voice my video?" Without a structured intake, voice actors spend hours each week explaining the basics to clients who have never commissioned a voice before.

SleekAI reads your live WordPress data: demo posts (commercial, narration, e-learning, IVR, audiobook, character), usage taxonomy (web only, broadcast TV, radio, national, regional, in-perpetuity), and rate-card postmeta like session_base, per_word, per_minute_finished, and licence terms. The bot can quote a 30-second TV commercial with one-year national broadcast at, say, $850 session plus $1,400 usage. It can quote a 45-minute corporate e-learning at $1,200 to $1,650 buyout. It can quote a 200-word IVR system at $320 with two revisions included.

Generic bots fall over here because they do not understand the usage and licence model. They quote a flat hourly rate, miss the broadcast multiplier entirely, and never mention that pickups within 14 days are usually included. SleekAI logs which usage types and broadcast regions clients ask about so the actor sees whether the pipeline is leaning commercial, e-learning, or audiobook this quarter.

Voice actors compete in a global, time-sensitive market. A producer in London emailing a US voice at 5pm London time wants a quote before they leave the office. If the reply lands at 3am London time, the job often goes to the next voice on the list.

A chatbot that quotes session plus usage correctly, in real numbers, at 5pm London time, wins more bookings without the actor staying chained to their phone. The financial case is simple. One extra booked national TV campaign at a $2,250 fee covers SleekAI plus tokens for many years.

Two or three more weekly e-learning bookings cover the rest of the subscriptions easily. The hidden compounding benefit is in the transcript log. Voice actors usually do not have a tight read on which usage types are warming up in the market.

Reading two weeks of chatbot transcripts tells you that QSR national TV campaigns are spiking again, that L&D buyers are asking about per-finished-minute pricing more often, and that indie authors keep asking about audiobook proofing time. That informs which demos to refresh next, which agents to update, and which casting directors to ping. The other quiet benefit is filtering.

Producers asking for AI cloning permissions get a clear, factual no, instead of a delayed reply that lets the conversation drift. Producers asking for buyouts on union-covered material get the right framing. The actor's inbox starts to look more like booked work and less like exhausting Q&A.