AI marketing that sharpens your brand instead of flattening it.
AI can research, draft, target and report faster than any team. Used without a strategy, it makes you sound like everyone else using the same tools. I build the marketing system where AI does the volume and your judgment decides what's true, on-brand and worth saying.
What is AI marketing?
AI marketing is the use of artificial intelligence across the marketing function (research, segmentation, content creation, advertising, personalization and measurement) to make decisions faster and execute at a scale a small team couldn't reach alone. It also means marketing to buyers whose research now runs through AI assistants, which changes how brands get discovered and chosen.
Using AI to do better marketing, and doing marketing that still works when your customers ask an AI first.
Where AI makes marketing better, and where it quietly makes it worse
The same tool that writes a month of posts in an afternoon can also erase everything that made your brand recognisable. The difference is the system around it.
Where AI helps
Research, first drafts, variations for testing, audience analysis, ad iteration and reporting: speed and volume a small team never had.
Where AI hurts
Sameness. When everyone prompts the same tools, the output converges. Generic content is invisible to people and to AI systems alike.
Where it's risky
Confident errors: invented facts, claims you can't support and messages that drift off-brand without anyone noticing.
What fixes it
Positioning first, a written voice system, human editing on everything public and measurement tied to revenue.
The AI marketing loop: AI does, you decide
Five stages, run every month. At each one, AI handles the volume and a person makes the call.
Research
scans markets, reviews, competitors and AI answers
which insight matters
Position
tests angles and messages
what you stand for
Create
drafts and variations
what's true and on-brand
Distribute
targeting, bidding and scheduling
budget and channels
Measure
assembles data and spots patterns
what to stop and scale
AI marketing consulting, deliverable by deliverable
Strategy first, then the system, then the execution, with every artifact something you keep.
AI Marketing Strategy & Audit
Where AI belongs in your marketing, and what to stop doing.
Brand Voice System
Making AI output sound like you, every time, from anyone on the team.
Content Engine
Content that answers real buyer questions and is quotable by AI.
AI-Assisted Paid Media
Google and Meta campaigns run against cost per customer, not clicks.
Lead Response & Nurture
Making sure the leads marketing creates actually get answered.
Measurement That Means Something
Reporting that starts with inquiries and revenue.
Traditional marketing vs. AI-era marketing
The fundamentals of positioning and persuasion haven't changed. Almost everything about execution and discovery has.
| Traditional marketing | AI-era marketing | |
|---|---|---|
| Discovery | Search results, ads and referrals | All of those, plus AI assistants recommending a shortlist |
| Content | Produced slowly, by hand | Produced quickly, so judgment and editing are the bottleneck |
| Advertising | Manual targeting and bidding | Algorithmic campaigns steered by your conversion data |
| Advantage | Budget and production capacity | Clear positioning, a distinct voice and clean data |
| Biggest risk | Being outspent | Sounding like everyone else |
Diagnose, position, build, run, review
Diagnose
Your numbers first: what a customer is worth, what one costs and where prospects drop off. Often the constraint isn't marketing at all.
Position
A clear statement of who you're for and why you're different. Everything AI produces gets checked against it.
Build the system
Voice guide, prompt library, content plan, tracking and the workflows that tie them together.
Run
Monthly production and campaigns, with AI handling volume and people approving everything public.
Review
A monthly written review tied to inquiries and revenue: what to stop, what to scale, what to test next.
A good fit, and not a fit
I'd rather tell you now than six months into an engagement.
✓Good fit
- Established businesses with a brand worth protecting
- Small teams that need more output without more headcount
- Companies spending on ads without knowing their cost per customer
- Leaders who want marketing judged on revenue, not reach
✕Not a fit
- Anyone looking for the cheapest way to fill a content calendar
- Brands unwilling to define a clear position first
- Expectations of overnight growth from AI tools alone
- Businesses wanting an agency to run everything unsupervised
Forty years, applied to the AI era
Blue Moon Fabrics
A single LA Fashion District store engineered into a national textile leader, the 100× build.
View →Consumer appAisleBird
A voice-first grocery app grown across 500+ stores, marketed and built in-house.
View →Reviews5.0 on Google
Twelve public reviews from clients over more than a decade, every one verifiable.
View →LocalLA & Napa Valley
AI marketing for Los Angeles and Napa Valley businesses, in person or online.
View →AI Marketing: frequently asked questions
What does an AI marketing consultant do?
An AI marketing consultant decides where AI belongs in your marketing (research, content, advertising, personalization, measurement), sets up the systems and guardrails, and makes sure the result produces customers rather than just more content. The strategy is the job; the tools are the means.
Will AI-written content hurt my SEO?
Not because AI wrote it. Google's guidance is that it rewards helpful, reliable content however it's produced, while mass-produced, low-value content made to manipulate rankings breaks its spam policies. The risk is generic content, not the tool.
Do I still need a marketing agency?
Sometimes. If you need production capacity across many channels, an agency can provide it. What AI changes is that small teams can now do far more themselves, so many businesses need senior strategy and a good system more than they need another retainer.
Which AI marketing tools should we use?
Fewer than you'd think. Most businesses get the bulk of the value from one general-purpose AI assistant, the AI features already inside their ad platforms and CRM, and a good analytics setup. I recommend tools after the strategy, never before.
How do you keep AI content on-brand?
With a written voice system (a guide, approved examples and tuned prompts) and a rule that a person edits and approves everything public. That's what keeps a brand distinct when everyone has the same tools.
Do you work in my industry?
I've worked across legal, medical, dental, cosmetic surgery, ecommerce, hospitality, wine, textile, construction and professional services. See the services and industry pages for specifics.
Make AI work for your brand, not against it
Book a free 30-minute call. We'll look at where AI would help your marketing most, and where it's already hurting it.