# Affiliate Marketing Coach — AI workflow practice pack

Published 2026-10-16. Original educational prompts and exercises. Use approved, minimized source material. Outputs need human review.

## Use AI to refresh an affiliate guide without inventing product experience

A practical editing workflow for finding stale claims, improving buying guidance, and protecting the distinction between research and firsthand testing.

### Ask for a claim audit before a rewrite

Audit this affiliate guide against the supplied evidence. Return a table with claim, evidence source, date, status, and recommended action. Use only verified, outdated, unsupported, or firsthand-note as statuses. Flag any sentence that implies I personally used a product without a matching testing note. Do not rewrite the guide yet. Reader decision: [decision]. Guide and sources: [paste].

### Improve the decision, not just the wording

Rewrite only the approved sections using the verified evidence below. For each product, explain who it may suit, the relevant tradeoff, and what a buyer should check. Preserve uncertainty. Do not invent testing, testimonials, performance results, or product benefits. Keep the affiliate disclosure clear. List any sentences you could not substantiate. Approved facts: [paste].

### Your exercise

1. Choose one existing guide and write the reader's decision in one sentence.
2. Audit ten factual claims and verify their sources manually.
3. Improve one comparison or fit explanation, then record the change.

### Review checklist

- [ ] Firsthand statements match genuine testing notes.
- [ ] Prices and product details have current, relevant sources.
- [ ] The financial relationship is clear near the recommendation.
- [ ] Unknowns remain visible and every purchase link works.

Your evidence:

Your next decision:

Owner and review date:

## Build a weekly affiliate research brief that leads to one useful update

Turn product updates, reader questions, and your own performance data into a focused editorial brief instead of an endless feed of AI news.

### Give each item an evidence trail

Create a weekly editorial research brief for [audience/category]. Review only these sources and pages: [list]. Find changes since [date] that affect a buying decision. For each item give source URL, source date when known, date checked, affected page, verified change, uncertainty, and one recommended action. Separate observations from explanations. If nothing material changed, say so.

### Schedule the workflow explicitly

Review this research brief as a skeptical editor. Rank the proposed actions by reader impact, confidence, and effort. Choose one update that can be completed in [time]. Explain what must be verified before editing and what evidence would make us leave the page unchanged. Do not manufacture urgency or recommend a product because of its commission. Brief: [paste].

### Your exercise

1. Choose five pages, one audience, and up to ten primary sources.
2. Run a one-time brief and manually verify its highest-priority item.
3. Complete one useful edit before enabling a recurring schedule.

### Review checklist

- [ ] Every recommended update has a traceable source and a specific affected page.
- [ ] Dates distinguish publication from the underlying change.
- [ ] Recurring delivery is actually configured and tested.
- [ ] A human approves public content and affiliate-link changes.

Your evidence:

Your next decision:

Owner and review date:

## Keep learning

Free beginner course: https://aiteachers.cc/courses/first-useful-ai-workflow/

Free experienced-user course: https://aiteachers.cc/courses/repeatable-ai-workflows/