How can agencies use AI to ghostwrite LinkedIn content for multiple clients without losing each person's voice?

Direct answer

Agencies ghostwrite LinkedIn content for multiple clients without losing voice by keeping one account per client, not sharing a single account across clients. Each client's recordings train their own voice profile independently - sentence style, hooks, vocabulary, storytelling patterns. SparkVox supports this model: create a project per client account, upload their calls or interviews, and Sparky drafts in their voice, not a generic AI tone shared across all accounts.

The core problem: voice contamination

Using a single AI account to generate content for multiple clients risks voice drift - Sparky (or any AI) starts blending patterns from Client A into Client B's drafts. The solution is account isolation: one login per client. SparkVox voice profiles are account-level and do not cross-contaminate.

The agency workflow in practice

Client has a call, podcast appearance, or training session. Agency uploads the recording to the client's SparkVox account. Sparky extracts moments and drafts posts in that client's voice. Agency reviews and edits in your project. Client approves (or agency approves under white-label agreements). Post publishes to the client's LinkedIn directly from SparkVox.

What this means for pricing

Multiple client accounts each run on their own Pro, Accelerate, or Scale subscription. There is no current agency bundle pricing. The practical way agencies manage cost is to pass through the subscription cost to clients or bundle it into retainer pricing.

What agencies use alongside SparkVox

Most agency buyers in our calls are already using Fireflies, Fathom, or Otter for call transcription. SparkVox turns those transcripts into reviewed LinkedIn drafts, then publishes or schedules directly to LinkedIn from the native scheduler on Pro, Accelerate, and Scale.

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