Content Provenance and Authenticity Score
How trustworthy is the affiliate content you read, and the network behind it. A framework built on verified data, disclosure, and fraud controls.
A content provenance and authenticity score rates how trustworthy affiliate content and the network behind it really are. It looks at whether commission data is verified, whether affiliate relationships are disclosed, and whether the network has clean fraud and quality controls. Here is how we think about it, and how it connects to the Reliability and Trust Index.
What content provenance means in affiliate marketing
Provenance is the chain of trust behind a claim. When a page says a program pays 30 percent recurring on a 90 day cookie, provenance asks a simple question: where did that number come from, and when was it last checked. Most affiliate listicles cannot answer that. Their numbers are scraped once and never verified again, so they drift out of date and quietly mislead readers.
Our answer is to verify every program against its official affiliate page on a 30 to 60 day cycle, stamp each review with a verified date, and disclose every affiliate relationship on the page that carries it. That is the content side of provenance.
The authenticity layer for networks
On the network side, authenticity is about whether the platform protects the integrity of the data and the payouts. Three signals carry most of the weight.
- Fraud controls. Does the network detect invalid traffic, bot clicks, cookie stuffing, and attribution manipulation. Strong controls keep commissions honest.
- Data transparency. Can you see real time, log level reporting, so you can audit your own conversions rather than trust a black box.
- Disclosure and compliance. Does the ecosystem support clear FTC style disclosure, so readers know a link is an affiliate link.
These map directly onto two dimensions of the Reliability and Trust Index: the fraud controls score and the data transparency score. Networks that rank high on both give content creators the cleanest foundation to build trustworthy reviews on.
How to read it
If you are choosing where to build, favor networks with high transparency and fraud scores, then publish content that shows its own provenance: verified dates, named sources, and clear disclosure. That combination is what AI answer engines and careful readers both reward. The full per network scores are in the index, with raw JSON and CSV.