AI for Marketing

From scattered AI pilots to AI that moves revenue.

AI deployed where it moves revenue, margin, and awareness, guided by an intelligence-led map of your marketing engine, not by the technology of the month.

Our Philosophy

We lead with the map, not the technology.

Human intelligence sits at the heart of this work. Senior practitioners map your marketing engine: the processes, the outcomes each owes the P&L, and where growth actually comes from. AI enters as a tool, deployed where it extends and spreads the initiatives that intelligence has validated.

Most AI consultancies lead with the technology and sell efficiency. We rank every AI opportunity by what it does for growth.

The Engagement

Map. Rank. Roadmap.

01

Map

An intelligence-led map of your marketing processes and the outcomes each owes the P&L: demand generation, content and creative operations, lifecycle, and brand. Before any tool is discussed, we know where growth actually comes from.

02

Rank

AI opportunities scored by impact on the three growth outcomes: revenue, margin, and awareness. Growth-led, not efficiency-led. Most AI consultancies sell cost-cutting; we deploy AI where it compounds growth.

03

Roadmap

An adoption plan where AI scales what the intelligence validated: which teams go first, which tools, what proof is required at each gate, and measurement that keeps AI accountable to growth.

Runs on the standard Brackett Partners model: Diagnose, Direct, Deliver. Phased and gated, so you decide at each gate, and scoped after a conversation.

Why Now

CMOs now allocate roughly 15% of marketing budgets to AI technologies, yet only about 30% feel ready to scale those capabilities.

Source: Gartner. Boards are asking for marketing's AI plan while most organizations have only pilots. That gap is where this work begins.

The Landscape We Navigate

A market that shifts monthly, mapped continuously.

We maintain a continuously refreshed survey of the marketing AI landscape, organized by where each category sits in the marketing engine. The value is not the list; it is matching tools to your mapped processes.

Agentic marketing platforms

The enterprise battleground: AI agents built into the platforms marketing already runs on.

Salesforce Agentforce · HubSpot Breeze · Adobe GenStudio · Microsoft Copilot

Content & copy

Brand-governed content generation at enterprise scale.

Jasper · Writer · Copy.ai

Creative & visual production

Generative imagery, video, and design for concepting through production.

Adobe Firefly · Midjourney · Runway · Synthesia · Canva

Media buying & performance

AI campaign automation and spend optimization where paid budgets already meet AI.

Google Performance Max · Meta Advantage+ · Smartly

SEO, organic & LLM visibility

Search intelligence plus the new discipline of being found by AI assistants, increasingly critical to awareness.

Semrush · Ahrefs · Surfer · LLM visibility optimization

Lifecycle & personalization

Predictive segments, journey orchestration, and website personalization.

Klaviyo AI · Braze · Mutiny

Brand & social intelligence

AI-classified listening at scale: sentiment, topics, anomaly detection.

Brandwatch · Sprout Social

Workflow & orchestration

Agent-connected automation between marketing systems.

Gumloop · Zapier · Wrike

General-purpose AI

The connective tissue: often the highest-leverage deployment per dollar when paired with mapped processes.

Claude · ChatGPT · Gemini (enterprise tiers)

Tool references are illustrative, not endorsements. The landscape is refreshed before every engagement.

Getting Started

Start with the map.

Every engagement is shaped after a conversation about where your marketing engine needs to perform. No packages, no tool-first pitches.

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