AI for Marketing and Sales Teams
Campaign production, brand voice, catalog and product copy, and outbound that a compliance team will sign off on. We build these as systems your marketing team runs itself, with the brand rules enforced in code rather than in a style guide nobody opens.
Every engagement starts with a 3-week AI opportunity assessment, then a fixed-fee build or coaching for your own team. See the three ways to work with us →
Two surfaces, one brand voice
One surface faces your customer and carries the brand. The other faces your team and carries the calendar. Most marketing work that AI is genuinely good at sits in the second and shows up in the first.
Campaign production, on brand
A seasonal calendar turns into on-brand email, SMS, social, and catalog drafts in minutes rather than weeks. The brand voice and the compliance rules live in the system, so the first draft is already close and the review is about the idea, not the wording.
- Seasonal and promotional campaign drafts
- Email, SMS, and social copy in brand voice
- Catalog and product descriptions at scale
- Landing page and offer copy
- Multi-brand voice held consistent across channels
- Compliance and legal rules enforced in code
Sales and outbound, with the checking visible
Research, drafting, and follow-up structured so your people spend their time in conversations. Every claim an AI writes is checked against source material before a human ever sees it, which is what makes outbound at volume survive a brand review.
- Prospect and account research
- Outbound drafting with source checking
- Follow-up sequencing and call prep
- Proposal and quote first drafts
- Campaign performance summaries
- AI search visibility, how engines describe you
Where marketing and sales teams find leverage fast
Patterns we see repeatedly, from consumer brands and catalog retailers to manufacturers selling through reps.
Campaign Studio
The seasonal calendar becomes drafts. A marketing team turns a brief into on-brand email, SMS, social, and catalog copy in minutes, with brand voice and compliance built in, and keeps the approval it already has.
AI multi-brand marketing voice →Brand Voice in Code
The voice guide stops being a document nobody reads and becomes rules the system enforces. Useful the moment you run more than one brand, or more than one agency.
Catalog and Product Copy
Product descriptions, variants, and seasonal refreshes generated from your own product data at the volume a catalog actually needs, in your language, not a vendor's.
AI-verified marketing campaigns →Outbound With Quality Control
Research and drafting for sales, where every claim is checked against source material before a person sees it. That check is what makes volume survive a brand review.
AI cold outreach with quality control →Merchandising and Pricing Analysis
Plain-English questions against your own sales and inventory data, with the answer citing the rows it came from, so a merchant can ask instead of waiting on a report.
AI Search Visibility
What ChatGPT, Perplexity, and Google's AI answers say about your brand when a buyer asks, and what to change so they say it accurately.
AI search visibility analyzer →The same work, shaped by what you sell
A catalog retailer, a manufacturer selling through reps, and a credit union marketing to members are running the same machinery with different rules on top. The industry pages cover the specifics.
Where this is showing up in 2026
References anonymized per client privacy practice. Specifics shared on request with permission.
National Multi-Brand Catalog Retailer
A campaign studio the marketing team runs itself. The seasonal calendar becomes on-brand email, SMS, and social drafts in minutes, with brand voice and compliance rules enforced in code rather than caught in review. Built brand by brand, so each one keeps its own voice.
Wisconsin Label Manufacturer
Order intake that arrives as emailed PDFs and gets re-keyed by hand. The reading and checking is the same machinery as campaign production, pointed at a different document, which is why the sales side and the operations side of a business usually get built from one foundation.
Common questions
What kinds of marketing work is AI actually good for?
The text-heavy, repeatable, on-brand parts: first drafts of campaign copy, catalog and product descriptions, variant and seasonal refreshes, outbound research and drafting, and plain-English questions against your own sales data. The idea, the offer, and the final call stay with your marketers. What changes is that they stop spending the week producing and start spending it deciding.
How do you keep AI from sounding off-brand?
The brand voice and the compliance rules go into the system as rules, not as a style guide people are supposed to remember. Approved materials train it, the rules constrain it, and the first draft comes out close enough that review is about the idea rather than the wording. When a company runs several brands, each one keeps its own voice.
Can this work if we run more than one brand, or use outside agencies?
That is usually where it pays best. The moment a second brand or a second agency is involved, consistency stops being a matter of care and becomes a matter of scale. Holding the voice in code is what makes it survive volume.
What does a marketing AI engagement look like?
A three-week AI opportunity assessment scores where the time actually goes, then a fixed-fee build on the highest-value piece, usually one channel or one brand first. You own the code and the prompts. Most teams start with campaign production because the before-and-after is easy to see in a calendar.
Find out where AI pays in your marketing
A three-week assessment scores where your team’s time actually goes, then a fixed-fee build on the piece worth the most.
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