Marketing drafts go wrong when they invent a statistic, a customer quote, or a product claim. The useful system writes from the sources you approve, follows the brand and legal rules you already have, and leaves a person to publish.
What makes AI work different here
- Claims need a source. A number, a quote, or a comparison that is not in the approved material does not ship. The draft should show where a claim came from.
- Brand and legal rules are inputs. Tone, required disclaimers, and banned phrases belong in the system, not in a reminder after the draft is done.
- Publishing stays with a person. An assistant can draft a page, a brief, or a set of variants. It does not post them.
- Customer data used for personalization has a scope. We do not pull a whole CRM into a prompt because a campaign might find it useful.
Where we typically start
We start from the approved sources, the claims you are not willing to make, and who publishes. The published marketing study is landing-page drafts where every statistic traced to an approved source. We still will not attach another sector's metric and call it a campaign result.
Services we typically provide
Case studies from this industry
Frequently asked questions
Will this publish ads or pages on its own?
No. A person publishes. The system drafts and shows the source of a claim.
Can it invent a performance number?
No. If the number is not in the approved material, it does not appear in the draft.
Is there a published marketing case study?
Yes. The marketing study is landing-page drafts where every statistic traced to an approved source. A person still publishes.