Generative AI Consulting for Marketing
Brand-safe generative content systems with a claims library and evals — not another ChatGPT seat and a hope.
- Service
- Generative AI
- Industry
- Marketing
- Updated
- 2026-08-25
- Engagement
- 6–10 wks
Generative AI consulting for marketing helps brands replace ad-hoc ChatGPT use with a production content system: a versioned brand kit, a claims library, retrieval of approved proof points, evals that block invented claims, and CMS write-back — typically live on one content type in 6–10 weeks with 50–80% automation on targeted intents.
Why teams pick this engagement
Generative AI × MarketingClaims library, not vibes
Product claims, disclaimers, and prohibited phrases are retrieved and checked on every draft. The model does not invent clinical, financial, or performance claims.
Brand kit as system context
Voice, terminology, and example packs are versioned. A new campaign uses the kit that legal signed, not last quarter’s Slack thread.
Evals on brand and factuality
Golden briefs score voice match, banned-claim hits, and citation of approved proof points before a draft reaches a channel owner.
CMS and DAM integration
Drafts land in Contentful, Sanity, or your DAM with source assets attached. The system of record is not a chat history.
Legal and brand still approve
Regulated claims, comparative copy, and net-new product language stay in a review queue. High-volume variants auto-ship only after evals hold.
6–10 weeks to a live workflow
One content type — product pages, email variants, or localized listings — in production with 50–80% automation on those targeted intents.
Key takeaways
- 01
A shared ChatGPT login is not a marketing system: it has no claims library, no evals, and no audit of what shipped.
- 02
The first content types that automate cleanly are structured ones — product copy, email variants, localized listings — not the brand manifesto.
- 03
Every product claim must map to an approved proof point; invented performance, clinical, or pricing language is a failed eval.
- 04
Legal and brand review stays on net-new and regulated claims; high-volume variants can auto-publish only after those evals hold.
- 05
On targeted intents, 50–80% of first-draft and variant work typically moves off the human, with channel owners still accountable for what goes live.
What the engagement covers
How we work
- 01
Discover
Channel volumes, brand-kit gaps, legal claims constraints, and the single content type we will ship.
- 02
Design
Claims library schema, review gates, CMS write path, and evals reviewed with brand and legal.
- 03
Build
Retrieval, generation workflow, and CMS/DAM integration in your environment with weekly draft reviews.
- 04
Validate
Golden-brief scoring, banned-claim red team, and localization checks on real campaigns.
- 05
Enable
Production on the targeted content type, runbooks, and 30 days on-call.
Take the playbook with you
The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.
Brand-Safe GenAI Claims Library Template
The schema for approved claims, proof points, disclaimers, and banned phrases — plus the eval rubric that blocks drafts that invent them.
Get the template ·Marketing Content Eval Scorecard
Voice, factuality, claims, and channel-fit graders we run in CI so a prompt tweak cannot silently change the brand.
Get the scorecard ·