Hiring a CMO is slow.
Hiring an agency is generic.
A practitioner with an AI team is the third answer.

An AI-augmented marketing consultancy puts a senior marketing practitioner in command of a configured AI system, with the practitioner making every call at every gate. Unlike using ChatGPT directly (which produces generic output and answers to no one), an AI marketing consultancy configures specialised agents for orchestration, audience insight, creative direction, brand voice, production, governance, and performance data, each gated by a human practitioner who approves the work before it ships. You are not handing marketing to a black box. A senior marketer commands the team. Soundtrak is an AI-augmented B2B marketing consultancy serving businesses without an in-house marketing function and scale-ups whose marketing team wants AI scale.

A traditional marketing agency hires mid-weight people to deliver senior strategy - you pay senior rates and get junior delivery. An AI-augmented marketing agency runs senior strategy through configured AI agents that scale the delivery, with a senior practitioner gating quality at every stage. You get senior judgment in every loop and the output volume of a team without paying for a team. Cost is lower, speed is higher, and the output is auditable - every decision and every asset has a visible state, not buried in an agency project manager's inbox.

An AI-augmented marketing consultancy doesn't use one AI tool - it configures a stack. Soundtrak's current stack (2026) runs seven specialised AI agents on Claude as the underlying language model, with Replicate for image generation, Canva for design handoff, and a rendered dashboard for operator surfaces. The stack evolves with the frontier; the configuration discipline is the constant. Same models used generically produce generic marketing; configured on a practitioner's discipline they produce senior-practitioner output.

Done-for-you AI marketing is the consultancy running your marketing function for you - strategy, content, campaigns, brand, all delivered through a configured AI system overseen by a senior practitioner. Done-with-you AI marketing is workshop-plus-advisory: the same system is configured for your business and your in-house team is trained to operate it, with the practitioner on call. Done-for-you fits businesses without a marketer. Done-with-you fits scale-ups whose marketer wants AI scale without becoming an AI engineer.

An AI marketing consultancy like Soundtrak can be operational within three weeks: discovery call in week one, strategy brief and concept approval in week two, first campaign assets shipping in week three. A traditional CMO hire takes three to six months. A traditional agency takes four to eight weeks to onboard before producing the first work. The AI marketing model removes the hire-and-onboard delay because the operating system is already configured.

An AI marketing consultancy costs less than hiring an in-house CMO (~$250k+ all-in annually) and is comparable to a mid-tier marketing agency retainer, but delivers senior-practitioner judgment at agency speed and volume. Pricing is custom-scoped to the engagement - done-for-you projects are priced against the marketing function delivered; done-with-you workshops are priced against scope and team size. A discovery call surfaces a real number against your actual brief.

An AI-augmented marketing consultancy isn't the right fit when: the business already has a mature, well-staffed marketing team and just needs tactical execution; the founder wants to outsource strategic thinking entirely (the model requires practitioner judgment as input, not as garnish); or the brief is one-off creative production rather than an ongoing marketing function. In those cases, a traditional agency, freelancer, or in-house hire is the better choice.

No. ChatGPT is one general-purpose model with generic prompts, no memory of your business, and no quality gates. An AI marketing consultancy like Soundtrak runs seven configured agents - Campaign Manager, Insights Manager, Creative Director, Producer, Brand Manager, Governance, and Forensic Data - each with a discipline and each gated by a senior practitioner. Same brief into both produces materially different output. The comparison section above shows the diff side by side.

No - the Brand Manager agent's job is to stop that happening. Soundtrak's AI studio gates voice and visual fidelity, sends work back when it drifts, and holds the line on a banned-words list configured to the client's voice. The brand voice is captured once and enforced on every asset across every channel. The AI works inside the voice, not over it.

The human practitioner is in command, and makes every call that matters. Strategy, brief approval, concept selection, brand judgment, and the final ship decision all sit with the senior human practitioner (at Soundtrak, that's Andrew Braun - twelve years CMO experience). Audience insight, drafting, production, sub-editing, compliance checking, and performance analysis sit with seven configured AI agents - Campaign Manager, Insights Manager, Creative Director, Producer, Brand Manager, Governance, and Forensic Data. Every asset passes a governance gate and a brand gate, then the practitioner reviews it before it ships. The AI multiplies output volume; the human holds the judgment and the controls.

No, an AI marketing consultancy doesn't replace your marketing team - it augments them. Done-with-you engagements explicitly train your team to operate the system. Done-for-you engagements act as an external marketing function for businesses that don't have an internal team. The "practitioner is still the CMO" principle is literal: human judgment is the gate at every stage. The AI handles the volume; humans handle the calls.

The discovery call exists to surface that question before the engagement starts. An AI marketing consultancy like Soundtrak is upfront about poor-fit prospects - if the model isn't going to work for a particular business, that's usually visible in the discovery conversation, and the consultancy will say so. After an engagement starts, scope is sized small enough to course-correct as both parties learn what the system needs to produce useful output. The Forensic Data agent reads the numbers as they come in, so the next move is evidence-led, not a guess.

It is a multi-agent system running on Claude. A Campaign Manager orchestrates seven specialised agents - creative direction, brand voice, production, governance, audience insight and performance data - through six campaign phases, with the senior practitioner approving the work at every gate. Everything is plain markdown files rendered into HTML operator surfaces: no database, no platform to log into, nothing locked in a vendor's cloud. The architectural overview walks you through the system.

Claude, Anthropic's AI, running through Claude Code on your own computer. There are no servers to manage and no hosting to pay for - the whole system lives on your machine. The installation and deployment guide covers what to have ready before you begin.

You install Claude Code, point it at the system folder, and run a one-time setup that configures the agents on your brand, voice, market and audience. A GitHub account is optional and used only for backup. The full steps are in the installation and deployment guide.

In a fresh chat you type "start a campaign" and what it is for. The system interviews you, drafts a one-page brief, and walks you through concept, plan, production and launch - you answer questions and approve each step in plain English. The operator guide walks a full first campaign end to end.

On your own computer, as plain files you can open, read and change. Nothing leaves your machine except what you type into a Claude session - you are not uploading your business into someone else's platform. The ownership model is covered up front in the operator guide.

No. You steer the system in plain English and approve work in chat. The few genuinely technical steps - deploying a page, wiring up analytics - arrive as copy-paste cookbooks with numbered instructions. The operator guide shows exactly what you see and do at each stage.

Because the system is plain files, you back it up like any folder - to GitHub or any backup you use - and recovery is simply reinstalling Claude Code and restoring the folder. Your configured system and every asset it has made come back intact. Backup and recovery are covered in the deployment guide.