Field guides for AI creators, newsletter writers and tool reviewers.
These guides turn current program facts into audience-specific editorial, monitoring, and data-operating decisions. AffiliateDataset supplies the normalized records; AI Affiliate Index independently writes the guidance and discloses its limits.
Build an AI newsletter affiliate stack without losing reader trust
A practical operating model for newsletter writers who want recurring revenue without turning every issue into a tool roundup.
Read the guide →Compare recurring AI affiliate programs beyond the headline rate
Use expected value, attribution, and product retention—not a single percentage—to decide what deserves coverage.
Read the guide →Monitor AI affiliate terms before fast-moving tools outrun your coverage
An evidence-change workflow for AI publishers managing recurring-rate claims, launch churn, and large recommendation portfolios.
Read the guide →Build an AI-tool comparison pipeline without publishing a copied feed
A CMS and API architecture that keeps program facts current while preserving original tests, conclusions, and audience fit.
Read the guide →Move from a guide to a maintained data workflow
AffiliateDataset provides complete source-linked records, export and monitoring access, and a normalized API for publishers that cannot maintain this research by hand.