How to use this guide: AffiliateDataset provides the factual program terms and evidence metadata used in examples. AI Affiliate Index independently produces the workflow, judgments, and conclusions. This is not a promise of earnings or a product endorsement.
Start with jobs, not logos
Map the recurring jobs your readers already do: research, drafting, transcription, image cleanup, video repurposing, and automation. Pick one primary recommendation for each job. A smaller, opinionated stack is easier to explain and gives readers a reason to trust that a link reflects a real workflow rather than the highest advertised payout.
Match the buying cycle to the cookie
An AI tool with a free tier may take several sessions to convert. Give longer-cookie programs more weight for tutorial and newsletter traffic, while treating short windows as better suited to high-intent comparison pages. Recurring commission matters only when the product keeps delivering value, so pair the rate with a retention hypothesis you can revisit.
Publish a repeatable proof block
For every recommendation, record the use case, who should skip it, the price tested, the last date you checked the affiliate terms, and the exact disclosure language. Update that block when the product or payout changes. Readers should be able to separate your product opinion from the program data.
Working checklist
- One primary tool per reader job
- A visible affiliate disclosure near the first link
- Last-tested and last-verified dates
- A non-affiliate alternative when one is genuinely better
- A quarterly link and terms audit