This framework is designed to create useful decision content rather than thin affiliate pages. It forces each recommendation to document evidence, costs and limitations before monetization.
Write the user outcome first: manage 30 client accounts, sell a course, capture leads, run a newsletter, or track AI search visibility. Do not start with a vendor name.
Facts need an official source and verification date. Editorial judgments need explicit criteria. Unknowns stay unknown until tested.
Include base subscription, contacts, email/phone usage, AI usage, payment fees, add-ons, implementation time and switching cost.
Use labels such as official-document verified, hands-on tested, customer interview, or unverified claim. Never imply hands-on testing that did not happen.
Every recommendation must include who should not buy it, what can become expensive, and what must be validated before purchase.
Maintain a small set of high-intent pages and update them when vendor facts change. Do not create hundreds of translated keyword pages with no additional value.
Google’s current spam policies explicitly call out scaled low-value content and thin affiliation. High-quality review guidance favors original analysis, evidence, measurable comparisons and clear benefits/drawbacks.