AI solutions for health and wellness brands
Research and content systems for supplement, vitamin, and wellness companies—with human claim review, clear evidence controls, and measurable publishing workflows.
Max built a LinkedIn system for an unnamed vitamin company. It researched competitor content, received current company information through Slack, and created two posts per day. The company reported about four hours saved each week and a 3% revenue increase during the period; other business activity may also have contributed to the revenue change.
Read the complete case studyWhere the work gets stuck.
Research is disconnected
Competitor activity, company news, scientific support, and brand rules live in different places.
Content is slow
Teams repeatedly research, outline, draft, review, and publish similar social content.
Claims create risk
A fluent AI draft can still create an unsupported or misleading health claim.
What an operator could build.
Competitor research brief
Collect public competitor posts, group recurring themes, and summarize patterns without copying the content.
Measure useful findings accepted by the team and time saved in research.Slack-to-draft workflow
Turn approved company updates from Slack into original drafts that follow a documented voice and content goal.
Measure draft acceptance, editing time, publishing consistency, and qualified responses.Claims review gate
Detect health, performance, safety, testimonial, and comparison claims and require qualified human approval before publishing.
Measure flagged claims, corrections before publication, and approval time.How the system should move.
- 01RESEARCH
Study public market activity and keep the original source.
- 02CONTEXT
Add current, approved company information from the internal team.
- 03DRAFT
Create original content that matches the brand and channel.
- 04APPROVE
Require human review for product, health, safety, and performance claims.
What stays under control.
- Do not let the system turn a competitor's claim into the company's claim.
- Require support for express and implied health claims before publication.
- Keep a record of the source, draft, reviewer, approval, and published version.
- Separate content performance from revenue attribution unless the measurement design supports causation.
Start smaller than you think.
Automate the weekly research brief before automating publication. Give the system a fixed competitor list, approved sources, a claim-risk checklist, and one reviewer. Compare research time and useful findings for four weeks.
Primary sources.
- Oprators vitamin-company LinkedIn case studyOprators
- Health Products Compliance GuidanceU.S. Federal Trade Commission
- AI Risk Management FrameworkU.S. National Institute of Standards and Technology
Project outcomes are labeled separately from proposed systems. Regulatory and risk guidance should be reviewed with qualified advisers for the specific business and location.